CN111461550A - Suitability evaluation method for river-substituted habitat protection - Google Patents

Suitability evaluation method for river-substituted habitat protection Download PDF

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CN111461550A
CN111461550A CN202010251158.1A CN202010251158A CN111461550A CN 111461550 A CN111461550 A CN 111461550A CN 202010251158 A CN202010251158 A CN 202010251158A CN 111461550 A CN111461550 A CN 111461550A
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value
river
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habitat
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林俊强
谷金钰
彭期冬
樊博
靳甜甜
张迪
庄江波
刘雪飞
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China Institute of Water Resources and Hydropower Research
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Abstract

The invention relates to a method for evaluating the suitability of river for replacing habitat protection, belonging to the field of river protection in the environmental protection department. A method for evaluating the suitability of river-substituted habitat protection comprises (1) constructing an index for evaluating the suitability of river-substituted habitat protection; (2) constructing a sub-target layer for evaluating the suitability of river replacement habitat protection; (3) constructing a criterion layer for evaluating the suitability of river substitute habitat protection; (4) and calculating the suitability index A1 to obtain the suitability grade of the river substitute habitat protection. The suitability evaluation method (1) for river alternative habitat protection provides evaluation criteria for branch alternative habitat selection. (2) The quantitative evaluation results of practical problems such as the branch habitat replacement effect, the branch protection condition, the economic rationality of the branch protection and the like can be given. (3) Providing a method for quantitatively calculating the similarity of the stem and branch habitats and species; (4) and the suitability of the alternative habitat is evaluated more comprehensively and systematically.

Description

Suitability evaluation method for river-substituted habitat protection
Technical Field
The invention relates to a method for evaluating the suitability of river for replacing habitat protection, belonging to the field of river protection in the environmental protection department.
Background
In recent years, with the development of ecological civilization, the ecological environment protection problem in hydropower development has attracted more and more attention. In river cascade development, particularly when a river basin main flow and branch flows are developed comprehensively, ecological environment compensation measures for aquatic organisms (particularly fishes) such as fish passing facilities, ecological scheduling and artificial propagation and release are restricted by factors such as scientific cognition degree, technical level and management difficulty at the present stage, and it is difficult to fundamentally solve the problem of loss of diversity of aquatic organisms due to habitat destruction and fragmentation (laowen et al, 2013). Therefore, it is necessary to find the optimum development and protection pattern between main streams and branch streams, and at the same time of main stream development, to find or build branch streams similar to the developed river reach habitat, and to protect them in the form of the original habitat.
Overall, the theory and method related to river-based ecological environment protection are still deficient, and many questions and deficiencies still exist in practical work, and the main disadvantages are as follows:
(1) the existing related theoretical method for river habitat protection lacks quantitative comparative analysis between dry branches and branch branches.
(2) The existing related theoretical method for river habitat protection lacks theoretical basis and judgment standard for selecting branch to replace habitat, is difficult to determine which branch is selected to have the best protection effect, is difficult to answer whether the branch habitat can replace the main stream habitat to a certain extent, whether the branch habitat has protection conditions, and is practical problems of reasonable sustainability and the like in economic terms.
(3) Most of the existing related theoretical methods for river habitat protection stay in the feasibility analysis stage, only provide suggestions for primary screening in the aspect of protecting habitat selection, and lack comprehensive preference and suitability evaluation with higher requirements for river alternative habitats from the technical and economic aspects.
Disclosure of Invention
The purpose of the invention is as follows: the invention aims at solving the problems in the prior art, namely the invention discloses a method for evaluating the suitability of river-alternative habitat protection.
The technical scheme is as follows: a suitability evaluation method for river substitute habitat protection comprises the following steps:
(1) constructing indexes of suitability evaluation of river substitute habitat protection, wherein the indexes comprise hydrological similarity D1, hydrodynamic similarity D2, water environment similarity D3, river terrain and landform similarity D4, native fish species similarity D5, specific fish species similarity D6, important protected fish species similarity D7, longitudinal connectivity D8, transverse connectivity D9, biodiversity D10, hydraulic habitat adaptability index D11, habitat fragmentality index D12, hydroelectric power generation value D13, industrial value D14, aquatic product value D15, irrigation benefit D16, shipping benefit D17, tourism benefit D18, biodiversity value D19, water and soil conservation value D20, conservation water source value D21, purified water quality value D22 and branch non-development loss opportunity cost D23;
(2) constructing a sub-target layer for evaluating the suitability of river replacement habitat protection, wherein the sub-target layer comprises habitat similarity C1, species similarity C2, branch connectivity C3, ecological health C4, main stream development value C5 and branch ecological value C6;
(21) habitat similarity C1
The habitat similarity C1 is calculated by the following formula:
C1=α1D1+α2D2+α3D3+α4d4, wherein:
α1~α4weight coefficients of D1-D4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(22) species similarity C2
Species similarity C2 was calculated by the following formula:
C2=α5D5+α6D6+α7d7, wherein:
α5~α7weight coefficients of D5-D7, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(23) tributary connectivity C3
Tributary connectivity C3 is calculated by the following equation:
C3=α8D8+α9d9, wherein:
α8~α9weight coefficients of D8-D9, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(24) ecological health C4
Ecological health C4 was calculated by the following formula:
C4=α10D10+α11D11+α12d12, wherein:
α10~α12weight coefficients of D10-D12, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(25) dry stream development value C5
The dry flow development value C5 is the power generation benefit and is characterized by the hydroelectric power generation value;
(26) ecological value of substream C6
The side stream ecological value C6 was calculated by the following formula:
C6=D14+D15+D16+D17+D18+D19+D20+D21+D22-D23;
(3) constructing a criterion layer for evaluating the suitability of river substitute habitat protection, wherein the criterion layer comprises substitute suitability B1, protection suitability B2 and economic suitability B3;
(31) alternative suitability B1
The alternative suitability B1 is calculated by the formula:
B1=β1C1+β2c2, wherein:
β1、β2weight coefficients of C1 and C2, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(32) suitability for protection B2
The protective suitability B2 was calculated by the following formula:
B2=β3C3+β4c4, wherein
β3、β4Weight coefficients of C3 and C4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(33) economic suitability B3
The economic suitability B3 is calculated by the following formula:
Figure BDA0002435535980000041
wherein:
1 is proper, 0 is not proper;
(4) calculating the suitability index A1 to obtain the suitability grade of the river for replacing the habitat protection
The suitability index a1 is calculated by the following formula:
A1=γ1B1+γ2B2+γ3b3, wherein:
γ1、γ2、γ3the weight coefficients of the three indexes of B1, B2 and B3 are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
when A1 is more than 0.8 and less than or equal to 1, the suitability level is highly suitable, the population structure similarity of the dry and branch species is high, the similarity of the habitat conditions is high, the connectivity of the dry and branch is strong, the branches are ecological and healthy, the living habitation quality is high, the number is large, and the ecological value of the branches is high;
when A1 is more than 0.6 and less than or equal to 0.8, the suitability level is proper, the population structure and the habitat condition of the dry and branch flow species are basically similar, the connectivity of the dry and branch flows is strong, the branch flow ecological system is degraded to a certain extent, but the number of the living habitats is large, and the ecological value of the branch flows is high;
when A1 is more than 0.4 and less than or equal to 0.6, the suitability level is generally suitable, the similarity of the population structure of the dry branch and the habitat conditions is general, the connectivity of the dry branch and the tributary is general, the tributary ecosystem is degraded to a certain extent, the number of the biological habitats is moderate, and the tributary ecological value is moderate;
when A1 is more than 0.2 and less than or equal to 0.4, the suitability level is barely suitable, the population structure and the habitat condition of the dry branch and branch are generally similar, the connectivity of the dry branch and branch is poor, the branch ecological system is degraded to a large extent, the number of living habitats is small, and the ecological value of the branch is low;
when A1 is more than or equal to 0 and less than or equal to 0.2, the suitability level is not suitable, the population structure of the species of the main and branch streams is basically dissimilar to the environmental condition, the connectivity of the main and branch streams is poor, the ecological system of the branch streams is seriously degraded, the number of the biological habitats is very small or disappears, and the ecological value of the branch streams is low.
Further, the hydrological similarity D1 is comprehensively evaluated by selecting the daily flux process E1, the number of rising water times in the egg-laying period E2, the number of rising water days in the egg-laying period E3, the duration of rising water in the egg-laying period E4, the daily water level process E5, and the daily water temperature process E6, and the calculation formula is as follows:
D1=λ1E1+λ2E2+λ3E3+λ4E4+λ5E5+λ6E6
in the formula, λ1~λ6The weight coefficients of E1-E6 are determined by conventional analytic hierarchy process, minimum-two multiplication, entropy weight process, expert scoring process and average weight process.
Furthermore, in the subordinate class E indexes in the hydrological similarity D1, the number of rising water times in the egg-laying period E2, the number of rising water days in the egg-laying period E3, and the duration of rising water in the egg-laying period E4 belong to constant type semblance, which means that the characteristic attribute of the similar elements between systems changes less obviously or slowly with time, and can be regarded as a constant amount in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjFor corresponding similar elementsForming the kth semblance element, blurring the semblance q (u)k) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000061
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000062
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000063
Further, of subordinate E-level indexes in the hydrologic similarity D1, the daily flow process E1, the daily water level process E5, and the daily water temperature process E6 belong to time-type semblance elements, which are semblance elements in which the characteristic attribute of the inter-system semblance element changes significantly with time, wherein:
converting the similarity degree of the similar elements into the membership degree in fuzzy mathematics, wherein the value range of the similar elements can be represented as [0,1] by using a region, 0 represents dissimilarity, 1 represents identity, the range between 0 and 1 represents the similarity degree, and the closer the value of the similar elements is to 1, the higher the similarity degree is;
the calculation of the time-type semblance includes:
an element feature attribute with a time series can be represented in a piecewise linear manner, which generally takes the form:
Y={(y1,y2,t2),…,(yi-1,yi,ti),…,(yn-1,yn,tn)}
in the formula, yi-1,yi(i-2, …, n) are respectively the starting value and the end value of the i-1 th straight line; t is tiThe time represented as the end of the i-1 th segment of the straight line; n represents the number of segments of the time series Y;
the trend of the time series is represented by a slope, i.e. the time series Y can be represented as a set of line segments with a certain slope, and therefore, the set of slopes defining the time series is shown as follows:
Y={(k1,t2),…,(ki-1,ti),…,(kn-1,tn)}
in the formula, ki-1=(yi-yi-1)/(ti-ti-1) The slope of the i-1 th segment of straight line; t is tiIs the end time of the i-1 th straight line;
since the slope has a range of [ - ∞, + ∞ ], belonging to an unbounded function, the similarity of time series expressed based on the slope distance is difficult to measure, and therefore, the time series can be expressed as a slope angle:
Y={(α1,t2),…,(αi-1,ti),…,(αn-1,tn)}
in the formula, αi-1=arctan(ki-1) Is the slope angle of the i-1 th segment line, αi-1∈[-π/2,π/2];
In general, after linear segmentation, the time corresponding to each end point of two time series is not completely consistent, and the length of each corresponding straight line is not the same, so before similarity analysis of the time series, the time of a slope angle set needs to be equally divided, and two time series Y' are { (α)1′,t3),(α2′,t4),(α3′,t6)}, Y″={(α1″,t2),(α2″,t5),(α3″,t6) After the time peer-to-peer subdivision is carried out, two time sequences can be rewritten as follows:
Y′={(α1′,t2),(α1′,t3),(α2′,t4),(α3′,t5),(α3′,t6)}
Y″={(α1″,t2),(α2″,t3),(α2″,t4),(α2″,t5),(α3″,t6)}
if the element characteristic curves of the two time series have the same change trend but a phase difference exists between the curves, the two time series are still considered to be similar; however, the conventional similarity calculation method only calculates the similarity value and determines the degree of similarity by comparing the similarity of the feature values of the two time sequences at each same time, but the similarity result calculated by the conventional method cannot identify the dislocation similarity rules hidden in the two time sequences, so that it is necessary to search for the similarity between the two time sequences and calculate the similarity value thereof, so as to find the most similar segment and the translation time therein;
two time sequences Y 'and Y' which are processed by time and are represented by a slope angle set are subjected to time peer-to-peer processing, the similarity element values of the two sequences are respectively calculated through gradual translation of the two sequences in time, and then the section with the highest similarity and the corresponding translation time are searched, namely:
it is assumed that the sequences Y' and Y ″ have an equal time interval Δ t ═ ti-ti-1If Y' is shifted by | j | time intervals (j is positive to the right and negative to the left), then the curve segments of the two sequences overlapped in time are reduced to n-1- | j | segments;
when j >0, the overlap can be expressed as:
Y′={(α1+j′,t2+j),…,(αi-1′,ti),…,(αn-1′,tn)},Y″={(α1″,t2),…,(αi-1-j″,ti-j),…,(αn-1-j″,tn-j)}
when j <0, the overlap can be represented as:
Y′={(α1′,t2),…,(αi-1-|j|′,ti-|j|),…,(αn-1-|j|′,tn-|j|)},Y″={(α1+|j|″,t2),…,(αi-1″,ti),…,(αn-1″,tn)}
after translation, the values of the semblance elements of the two time series can be calculated by:
Figure BDA0002435535980000081
and (3) setting a translation threshold value to be more than or equal to 0 and the upper limit of the translation threshold value not to exceed 1/4 of the whole time sequence, fixing the sequence Y ', translating the sequence Y', calculating the similar element value through gradual translation in the range of | j | ≦ and searching the time section when the similar element value reaches the maximum, namely the most similar section, and recording the corresponding translation time and the maximum similar element value.
And during similarity search calculation, a translation threshold determination method and a key element priority search method are adopted, and if not, the search result cannot well represent the similarity of the comparison sequence.
The translation threshold value determining method comprises the following steps: the translation threshold determines the range of similarity search, if the translation threshold is too large, the number of overlapped curve segments is too small, the similarity of a few curve segments is not enough to represent the similarity of two time series curves, if the translation threshold is too small, the search range is too small, and the maximum similarity element value and the corresponding most similar section are not necessarily covered in the search range. Therefore, a reasonable translation threshold will directly affect the search results. In general, the upper limit of the translation threshold value should not exceed 1/4 of the whole time series, i.e. the overlapped curve series should not be lower than 3/4 of the whole series, and the specific translation threshold value needs to be drawn up according to the actual situation.
The key element priority searching method comprises the following steps: in the process of similarity analysis and similarity search, if more than two time type similar elements exist between two systems, the similar element values of other elements in the corresponding similar interval and translation time are calculated and determined according to the most similar interval and translation time of the key elements according to the key element priority search method. For example, when analyzing the similarity of fish habitats of two river systems, the temperature is a key element among elements such as temperature, flow and water level, similarity search should be preferentially performed on the temperature time series, a similarity interval and translation time corresponding to the maximum similarity value are found, and the similarity values of other elements are calculated in the time interval.
Further, the hydrodynamic similarity D2 was evaluated comprehensively as the similarity of the average flow velocity E7, the average flow velocity gradient E8, the average water depth E9, the average water surface width E10, the average froude number E11, the average reynolds number E12, the average vorticity E13, and the average kinetic energy gradient E14, and it was calculated by the following formula:
D2=λ7E7+λ8E8+λ9E9+λ10E10+λ11E11+λ12E12+λ13E13+λ14E14
in the formula, λ7~λ14The weight coefficients of E7-E14 are determined by conventional analytic hierarchy process, minimum-two multiplication, entropy weight process, expert scoring process and average weight process.
Further, in the subordinate class E indexes in the hydrodynamic similarity D2, the average flow rate E7, the average flow rate gradient E8, the average water depth E9, the average water surface width E10, the average froude number E11, the average reynolds number E12, the average vorticity E13, and the average kinetic energy gradient E14 belong to constant similarity elements, where the constant similarity elements refer to that the characteristic properties of the similar elements between systems change less obviously or slowly with time, and can be regarded as constant quantities over a longer period of time, where:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000091
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000092
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000093
Further, the similarity of the water environment D3 is determined by the dissolved oxygen DO content E15, the pH value E16, the phosphorus nutrient salt index E17 and the ammonia nitrogen NH3-N nutritive salt index E18, CODMnThe similarity of E19 and lead content E20 was evaluated comprehensively and calculated using the following formula:
D3=λ15E15+λ16E16+λ17E17+λ18E18+λ19E19+λ20E20
in the formula, λ15~λ20The weight coefficients of E15-E20 are determined by conventional analytic hierarchy process, least squares, entropy weight process, expert scoring process and average weight process.
Furthermore, in the subordinate E-level indexes of the water environment similarity D3, the dissolved oxygen DO content E15, the pH value E16, the phosphorus nutrient salt index E17 and the ammonia nitrogen NH3-N nutritive salt index 18, CODMnE19, the lead content E20 belongs to constant type similar elements, the constant type similar elements refer to that the characteristic attribute of the similar elements between systems changes less obviously or slowly with timeA constant amount over a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000101
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000102
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000103
Further, the similarity of the topography of the river D4 is comprehensively evaluated by a meandering degree E21, a river bed gradient E22, a U/V/W section type ratio E23 and a shoal-deep pool density E24, and the similarity of the topography of the dry and branch rivers is calculated according to the following formula:
D4=λ21E21+λ22E22+λ23E23+λ24E24
in the formula, λ21~λ24Are the respective weight coefficients of E21-E24 according to the conventional ruleThe method comprises the steps of analytic hierarchy process, minimum two-multiplication, entropy weight method, expert scoring method and average weight method determination.
Furthermore, among the subordinate grade E indexes of the river topographic and geomorphic similarity D4, the meandering degree E21, the riverbed gradient E22, the U/V/W section type ratio E23, and the shoal-puddle density E24 belong to constant similarity elements, which means that the characteristic attribute of the similar elements between systems changes less obviously or slowly with time and can be regarded as a constant quantity in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000111
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000112
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000113
Further, the species similarity D5 of the native fishes means the ratio of the number of species distributed in the tributary to the native fishes distributed in the main stream, and is calculated by the following formula:
Figure BDA0002435535980000114
in the formula, E5Dry flowThe number of indigenous fish species distributed in the main stream;
E5branch flowThe species number of the native fishes distributed in the main stream and the species number of the native fishes distributed in the subsidiary stream are also distributed.
Further, the characteristic fish species similarity D6 is a ratio of the number of species distributed in the main stream to the number of species distributed in the subsidiary stream, and is calculated by the following formula:
Figure BDA0002435535980000121
in the formula (I), the compound is shown in the specification,
E6dry flowThe number of the unique fish species distributed in the main flow;
E6branch flowThe number of species distributed in the substreams for the characteristic fish distributed in the main stream.
Further, the similarity D7 of the important protected fish species is the ratio of the number of the types of the main protected fish distributed in the main stream and the number of the types of the main protected fish distributed in the branch stream, and is calculated by the following formula:
Figure BDA0002435535980000122
in the formula, E7Dry flowProtecting the number of fish species for distribution emphasis in the main stream;
E7branch flowThe emphasis on distribution in the main stream protects the number of species in the substream to which the fish are also distributed.
Further, the longitudinal connectivity D8 is expressed by a ratio of the kilometers of the water areas in which the river is longitudinally connected to the total kilometers of all the water areas in the longitudinal direction, and the specific calculation formula is as follows:
Figure BDA0002435535980000123
wherein C L is the kilometer number of the water area where the river is longitudinally communicated;
t L is the total kilometers of all waters in the longitudinal direction of the river.
Further, the transverse connectivity D9 is represented by the ratio of the kilometer number of the natural river bank or the ecological material revetment (non-hard revetment bank) of the river to the total kilometer number of the river bank, and the specific calculation formula is as follows:
Figure BDA0002435535980000124
in the formula, N L is the kilometer number of the natural river bank or ecological material bank protection of the river;
r L is the total kilometers of river bank.
Further, the biodiversity D10 represents the biodiversity of the river ecosystem by the diversity of fish species, and the specific calculation adopts Shannon-Wiener index method, and the calculation formula is as follows:
Figure BDA0002435535980000131
pi=Ni/N
in the formula, piIs the relative abundance of the ith species, N is the number of samples, NiThe number of species i is the sum of the numbers of all species in the community.
Further, the hydraulic habitat adaptability index D11 reflects the health of the river ecosystem, and the calculation formula is as follows:
Figure BDA0002435535980000132
in the formula, aiTo calculate the area of cell i, m2
HSIiTo calculate the habitat suitability index for unit i,
Figure BDA0002435535980000133
weighting the available area of the fish habitat;
and N is the number of calculation units.
Further, the habitat disruptivity index D12 is a measure of the quality of a fish habitat from the effective habitat area, and the habitat disruptivity index D12 is calculated using the following formula:
Figure BDA0002435535980000134
wherein D12 is the habitat disruptivity index, D12 is not less than 0 and not more than 1, the smaller D12 is, the more disrupted the habitat suitable for fish to live in, the poorer the habitat quality is, the larger D12 is, the better the connectivity of the habitat suitable for fish to live in and the better the habitat quality is.
Has the advantages that: the suitability evaluation method for river alternative habitat protection disclosed by the invention has the following beneficial effects:
(1) the method for evaluating the suitability of river substitute habitat protection, which is established by the invention, provides effective and comprehensive evaluation criteria and theoretical basis for selecting the lower-branch substitute habitat under the influence of development of the main stream hydropower.
(2) The suitability evaluation index system and the corresponding method for river flow alternative habitat protection are constructed in the aspects of alternative suitability, protection suitability and economic suitability, quantitative evaluation results of actual problems such as branch habitat alternative effect, branch protection conditions and economic rationality of branch habitat protection can be given, and scientific opinions are provided for river management and planning decisions.
(3) The invention provides a method for quantitatively calculating the similarity of the habitat and the species of a trunk and a branch;
(4) the invention can further perform more comprehensive and systematic suitability evaluation on the alternative habitats from the technical and economic aspects on the basis of a plurality of river flow (branch) alternative habitats preliminarily screened in other feasibility evaluation stages, and provides comprehensive preferential results.
Drawings
FIG. 1 is a schematic diagram of time-series time-of-day peering;
fig. 2a and 2b are schematic diagrams of similarity search.
The specific implementation mode is as follows:
a suitability evaluation method for river substitute habitat protection comprises the following steps:
(1) constructing indexes of suitability evaluation of river substitute habitat protection, wherein the indexes comprise hydrological similarity D1, hydrodynamic similarity D2, water environment similarity D3, river terrain and landform similarity D4, native fish species similarity D5, specific fish species similarity D6, important protected fish species similarity D7, longitudinal connectivity D8, transverse connectivity D9, biodiversity D10, hydraulic habitat adaptability index D11, habitat fragmentality index D12, hydroelectric power generation value D13, industrial value D14, aquatic product value D15, irrigation benefit D16, shipping benefit D17, tourism benefit D18, biodiversity value D19, water and soil conservation value D20, conservation water source value D21, purified water quality value D22 and branch non-development loss opportunity cost D23;
(2) constructing a sub-target layer for evaluating the suitability of river replacement habitat protection, wherein the sub-target layer comprises habitat similarity C1, species similarity C2, branch connectivity C3, ecological health C4, main stream development value C5 and branch ecological value C6;
(21) habitat similarity C1
The habitat similarity C1 is calculated by the following formula:
C1=α1D1+α2D2+α3D3+α4d4, wherein:
α1~α4weight coefficients of D1-D4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(22) species similarity C2
Species similarity C2 was calculated by the following formula:
C2=α5D5+α6D6+α7d7, wherein:
α5~α7is a weight coefficient of D5-D7, whichDetermining according to conventional analytic hierarchy process, least square method, entropy weight method, expert scoring method, and average weight method;
(23) tributary connectivity C3
Tributary connectivity C3 is calculated by the following equation:
C3=α8D8+α9d9, wherein:
α8~α9weight coefficients of D8-D9, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(24) ecological health C4
Ecological health C4 was calculated by the following formula:
C4=α10D10+α11D11+α12d12, wherein:
α10~α12weight coefficients of D10-D12, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(25) dry stream development value C5
The dry flow development value C5 is the power generation benefit and is characterized by the hydroelectric power generation value;
(26) ecological value of substream C6
The side stream ecological value C6 was calculated by the following formula:
C6=D14+D15+D16+D17+D18+D19+D20+D21+D22-D23;
(3) constructing a criterion layer for evaluating the suitability of river substitute habitat protection, wherein the criterion layer comprises substitute suitability B1, protection suitability B2 and economic suitability B3;
(31) alternative suitability B1
The alternative suitability B1 is calculated by the formula:
B1=β1C1+β2c2, wherein:
β1、β2weight coefficients of C1 and C2, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(32) suitability for protection B2
The protective suitability B2 was calculated by the following formula:
B2=β3C3+β4c4, wherein
β3、β4Weight coefficients of C3 and C4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(33) economic suitability B3
The economic suitability B3 is calculated by the following formula:
Figure BDA0002435535980000161
wherein:
1 is proper, 0 is not proper;
(4) calculating the suitability index A1 to obtain the suitability grade of the river for replacing the habitat protection
The suitability index a1 is calculated by the following formula:
A1=γ1B1+γ2B2+γ3b3, wherein:
γ1、γ2、γ3the weight coefficients of the three indexes of B1, B2 and B3 are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
when A1 is more than 0.8 and less than or equal to 1, the suitability level is highly suitable, the population structure similarity of the dry and branch species is high, the similarity of the habitat conditions is high, the connectivity of the dry and branch is strong, the branches are ecological and healthy, the living habitation quality is high, the number is large, and the ecological value of the branches is high;
when A1 is more than 0.6 and less than or equal to 0.8, the suitability level is proper, the population structure and the habitat condition of the dry and branch flow species are basically similar, the connectivity of the dry and branch flows is strong, the branch flow ecological system is degraded to a certain extent, but the number of the living habitats is large, and the ecological value of the branch flows is high;
when A1 is more than 0.4 and less than or equal to 0.6, the suitability level is generally suitable, the similarity of the population structure of the dry branch and the habitat conditions is general, the connectivity of the dry branch and the tributary is general, the tributary ecosystem is degraded to a certain extent, the number of the biological habitats is moderate, and the tributary ecological value is moderate;
when A1 is more than 0.2 and less than or equal to 0.4, the suitability level is barely suitable, the population structure and the habitat condition of the dry branch and branch are generally similar, the connectivity of the dry branch and branch is poor, the branch ecological system is degraded to a large extent, the number of living habitats is small, and the ecological value of the branch is low;
when A1 is more than or equal to 0 and less than or equal to 0.2, the suitability level is not suitable, the population structure of the species of the main and branch streams is basically dissimilar to the environmental condition, the connectivity of the main and branch streams is poor, the ecological system of the branch streams is seriously degraded, the number of the biological habitats is very small or disappears, and the ecological value of the branch streams is low. The suitability evaluation index system is shown in the following table:
TABLE 1 suitability evaluation index System
Figure BDA0002435535980000171
Further, the hydrological similarity D1 is comprehensively evaluated by selecting the daily flux process E1, the number of rising water times in the egg-laying period E2, the number of rising water days in the egg-laying period E3, the duration of rising water in the egg-laying period E4, the daily water level process E5, and the daily water temperature process E6, and the calculation formula is as follows:
D1=λ1E1+λ2E2+λ3E3+λ4E4+λ5E5+λ6E6
in the formula, λ1~λ6The weight coefficients are respectively E1-E6, and are determined according to a conventional analytic hierarchy process, a minimum-two multiplication method, an entropy weight method, an expert scoring method and an average weight method;
E1-E6 are the similarity values of D1.
Furthermore, in the subordinate class E indexes in the hydrological similarity D1, the number of rising water times in the egg-laying period E2, the number of rising water days in the egg-laying period E3, and the duration of rising water in the egg-laying period E4 belong to constant type semblance, which means that the characteristic attribute of the similar elements between systems changes less obviously or slowly with time, and can be regarded as a constant amount in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000181
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000182
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000183
Further, of subordinate E-level indexes in the hydrological similarity D1, the selected daily flow process E1, the daily water level process E5, and the daily water temperature process E6 belong to time-type similarity elements, which are similarity elements in which the characteristic attribute of the similarity element varies significantly with time between systems, wherein:
converting the similarity degree of the similar elements into the membership degree in fuzzy mathematics, wherein the value range of the similar elements can be represented as [0,1] by using a region, 0 represents dissimilarity, 1 represents identity, the range between 0 and 1 represents the similarity degree, and the closer the value of the similar elements is to 1, the higher the similarity degree is;
the calculation of the time-type semblance includes:
an element feature attribute with a time series can be represented in a piecewise linear manner, which generally takes the form:
Y={(y1,y2,t2),…,(yi-1,yi,ti),…,(yn-1,yn,tn)}
in the formula, yi-1,yi(i-2, …, n) are respectively the starting value and the end value of the i-1 th straight line; t is tiThe time represented as the end of the i-1 th segment of the straight line; n represents the number of segments of the time series Y;
the trend of the time series is represented by a slope, i.e. the time series Y can be represented as a set of line segments with a certain slope, and therefore, the set of slopes defining the time series is shown as follows:
Y={(k1,t2),…,(ki-1,ti),…,(kn-1,tn)}
in the formula, ki-1=(yi-yi-1)/(ti-ti-1) The slope of the i-1 th segment of straight line; t is tiIs the end time of the i-1 th straight line;
since the slope has a range of [ - ∞, + ∞ ], belonging to an unbounded function, the similarity of time series expressed based on the slope distance is difficult to measure, and therefore, the time series can be expressed as a slope angle:
Y={(α1,t2),…,(αi-1,ti),…,(αn-1,tn)}
in the formula, αi-1=arctan(ki-1) Is the slope angle of the i-1 th segment line, αi-1∈[-π/2,π/2];
In general, after linear segmentation, the time corresponding to each end point of two time series is not completely consistent, and the length of each corresponding straight line is not the same, so before similarity analysis of the time series, the time of a slope angle set needs to be equally divided, and two time series Y' are { (α)1′,t3),(α2′,t4),(α3′,t6)}, Y″={(α1″,t2),(α2″,t5),(α3″,t6) As shown in fig. 1, after the time is split equally, the two time sequences can be rewritten as follows:
Y′={(α1′,t2),(α1′,t3),(α2′,t4),(α3′,t5),(α3′,t6)}
Y″={(α1″,t2),(α2″,t3),(α2″,t4),(α2″,t5),(α3″,t6)}
if the element characteristic curves of the two time series have the same change trend but a phase difference exists between the curves, the two time series are still considered to be similar; however, the conventional similarity calculation method only calculates the similarity value and determines the degree of similarity by comparing the similarity of the feature values of the two time sequences at each same time, but the similarity result calculated by the conventional method cannot identify the dislocation similarity rules hidden in the two time sequences, so that it is necessary to search for the similarity between the two time sequences and calculate the similarity value thereof, so as to find the most similar segment and the translation time therein;
two time series Y' and Y ″ represented by slope angle sets after time-wise peer-to-peer processing are respectively calculated by stepwise shifting the two series in time, and then the section with the highest similarity and the corresponding shifting time are searched (the schematic diagram of the searching method is shown in fig. 2a and 2 b), that is:
it is assumed that the sequences Y' and Y ″ have an equal time interval Δ t ═ ti-ti-1If Y' is shifted by | j | time intervals (j is positive to the right and negative to the left), then the curve segments of the two sequences overlapped in time are reduced to n-1- | j | segments;
when j >0, the overlap can be expressed as:
Y′={(α1+j′,t2+j),…,(αi-1′,ti),…,(αn-1′,tn)},Y″={(α1″,t2),…,(αi-1-j″,ti-j),…,(αn-1-j″,tn-j)}
when j <0, the overlap can be represented as:
Y′={(α1′,t2),…,(αi-1-|j|′,ti-|j|),…,(αn-1-|j|′,tn-|j|)},Y″={(α1+|j|″,t2),…,(αi-1″,ti),…,(αn-1″,tn)}
after translation, the values of the semblance elements of the two time series can be calculated by:
Figure BDA0002435535980000201
and (3) setting a translation threshold value to be more than or equal to 0 and the upper limit of the translation threshold value not to exceed 1/4 of the whole time sequence, fixing the sequence Y ', translating the sequence Y' within the range of | j | ≦ to calculate the similar element value through gradual translation, searching the time section when the similar element value reaches the maximum to be the most similar section, and recording the corresponding translation time and the maximum similar element value.
And during similarity search calculation, a translation threshold determination method and a key element priority search method are adopted, and if not, the search result cannot well represent the similarity of the comparison sequence.
The translation threshold value determining method comprises the following steps: the translation threshold determines the range of similarity search, if the translation threshold is too large, the number of overlapped curve segments is too small, the similarity of a few curve segments is not enough to represent the similarity of two time series curves, if the translation threshold is too small, the search range is too small, and the maximum similarity element value and the corresponding most similar section are not necessarily covered in the search range. Therefore, a reasonable translation threshold will directly affect the search results. In general, the upper limit of the translation threshold value should not exceed 1/4 of the whole time series, i.e. the overlapped curve series should not be lower than 3/4 of the whole series, and the specific translation threshold value needs to be drawn up according to the actual situation.
The key element priority searching method comprises the following steps: in the process of similarity analysis and similarity search, if more than two time-type similar elements exist between two systems, the values of the similar elements of other elements in the corresponding similar intervals and translation time are calculated and determined according to the key element priority search method and the most similar intervals and translation time of the key elements. For example, when analyzing the similarity of fish habitats of two river systems, the temperature is a key element in the elements such as temperature, flow and water level, the similarity search should be preferentially performed on the temperature time series, the similarity interval and the translation time corresponding to the maximum similarity element value are found, and the similarity element values of other elements are calculated in the time section.
Further, the hydrodynamic similarity D2 was evaluated comprehensively as the similarity of the average flow velocity E7, the average flow velocity gradient E8, the average water depth E9, the average water surface width E10, the average froude number E11, the average reynolds number E12, the average vorticity E13, and the average kinetic energy gradient E14, and it was calculated by the following formula:
D2=λ7E7+λ8E8+λ9E9+λ10E10+λ11E11+λ12E12+λ13E13+λ14E14
in the formula, λ7~λ14The weight coefficients are respectively E7-E14, and are determined according to a conventional analytic hierarchy process, a minimum-two multiplication method, an entropy weight method, an expert scoring method and an average weight method;
E7-E14 are the similarity values of hydrodynamic similarity D2.
Further, in the subordinate class E indexes in the hydrodynamic similarity D2, the average flow rate E7, the average flow rate gradient E8, the average water depth E9, the average water surface width E10, the average froude number E11, the average reynolds number E12, the average vorticity E13, and the average kinetic energy gradient E14 belong to constant similarity elements, where the constant similarity elements refer to that the characteristic properties of the similar elements between systems change less obviously or slowly with time, and can be regarded as constant quantities over a longer period of time, where:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjIs corresponding toSimilar elements, constituting the kth similar element, blurring the size q (u) of the similar elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000211
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000212
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000221
Further, the similarity of the water environment D3 is determined by the dissolved oxygen DO content E15, the pH value E16, the phosphorus nutrient salt index E17 and the ammonia nitrogen NH3-N nutritive salt index E18, CODMnThe similarity of E19 and lead content E20 was evaluated comprehensively and calculated using the following formula:
D3=λ15E15+λ16E16+λ17E17+λ18E18+λ19E19+λ20E20
in the formula, λ15~λ20The weight coefficients are respectively E15-E20, and are determined according to a conventional analytic hierarchy process, a minimum-two multiplication method, an entropy weight method, an expert scoring method and an average weight method;
E15-E20 are the similarity values of the water environment similarity D3.
Furthermore, in the subordinate E-level indexes of the water environment similarity D3, the dissolved oxygen DO content E15, the pH value E16, the phosphorus nutrient salt index E17 and the ammonia nitrogen NH3-N nutritive salt index E18, CODMnE19, the lead content E20 belongs to a constant type similar element, the constant type similar element means that the characteristic attribute of the similar element between systems changes less obviously or slowly along with the time, and can be regarded as a constant quantity in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000222
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000223
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000231
Further, the similarity of the topography of the river D4 is comprehensively evaluated by a meandering degree E21, a river bed gradient E22, a U/V/W section type ratio E23 and a shoal-deep pool density E24, and the similarity of the topography of the dry and branch rivers is calculated according to the following formula:
D4=λ21E21+λ22E22+λ23E23+λ24E24
in the formula, λ21~λ24The weight coefficients are respectively E21-E24, and are determined according to a conventional analytic hierarchy process, a minimum-two multiplication method, an entropy weight method, an expert scoring method and an average weight method;
E21-E24 are the similarity element values of the river landform similarity D4.
Furthermore, among the subordinate grade E indexes of the river topographic and geomorphic similarity D4, the meandering degree E21, the riverbed gradient E22, the U/V/W section type ratio E23, and the shoal-puddle density E24 belong to constant similarity elements, which means that the characteristic attribute of the similar elements between systems changes less obviously or slowly with time and can be regarded as a constant quantity in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure BDA0002435535980000232
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure BDA0002435535980000233
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure BDA0002435535980000234
Further, the species similarity D5 of the native fishes means the ratio of the number of species distributed in the tributary to the native fishes distributed in the main stream, and is calculated by the following formula:
Figure BDA0002435535980000241
in the formula, E5Dry flowThe number of indigenous fish species distributed in the main stream;
E5branch flowThe species number of the native fishes distributed in the main stream and the species number of the native fishes distributed in the subsidiary stream are also distributed.
Further, the characteristic fish species similarity D6 is a ratio of the number of species distributed in the main stream to the number of species distributed in the subsidiary stream, and is calculated by the following formula:
Figure BDA0002435535980000242
in the formula, E6Dry flowThe number of the unique fish species distributed in the main flow;
E6branch flowThe number of species distributed in the substreams for the characteristic fish distributed in the main stream.
Further, the similarity D7 of the important protected fish species is the ratio of the number of the types of the main protected fish distributed in the main stream and the number of the types of the main protected fish distributed in the branch stream, and is calculated by the following formula:
Figure BDA0002435535980000243
in the formula, E7Dry flowProtecting the number of fish species for distribution emphasis in the main stream;
E7branch flowThe emphasis on distribution in the main stream protects the number of species in the substream to which the fish are also distributed.
Further, the longitudinal connectivity D8 is expressed by a ratio of the kilometers of the water areas in which the river is longitudinally connected to the total kilometers of all the water areas in the longitudinal direction, and the specific calculation formula is as follows:
Figure BDA0002435535980000244
wherein C L is the kilometer number of the water area where the river is longitudinally communicated;
t L is the total kilometers of all waters in the longitudinal direction of the river.
Further, the transverse connectivity D9 is represented by the ratio of the kilometer number of the natural river bank or the ecological material revetment (non-hard revetment bank) of the river to the total kilometer number of the river bank, and the specific calculation formula is as follows:
Figure BDA0002435535980000251
in the formula, N L is the kilometer number of the natural river bank or ecological material bank protection of the river;
r L is the total kilometers of river bank.
Further, the biodiversity D10 represents the biodiversity of the river ecosystem by the diversity of fish species, and the specific calculation adopts Shannon-Wiener index method, and the calculation formula is as follows:
Figure BDA0002435535980000252
in the formula, piIs the relative abundance of the ith species, N is the number of samples, NiThe number of species i is the sum of the numbers of all species in the community.
The river biodiversity index D10 was assigned based on the calculation of the Shannon-Wiener index H. Regarding the height of the species diversity of fishes in the river ecosystem, no specific grading standard exists at present, and the invention divides the species diversity into the following 5 grades according to the sequence from high to low according to the related research results of the river fish diversity in China, as shown in the following table.
TABLE 2 biodiversity index ranking
Figure BDA0002435535980000253
Further, the hydraulic habitat adaptability index D11 reflects the health of the river ecosystem, and the calculation formula is as follows:
Figure BDA0002435535980000254
in the formula, aiTo calculate the area of cell i, m2
HSIiTo calculate the habitat suitability index for unit i,
Figure BDA0002435535980000261
weighting the available area of the fish habitat;
and N is the number of calculation units.
Further, the habitat disruptivity index D12 is a measure of the quality of a fish habitat from the effective habitat area, and the habitat disruptivity index D12 is calculated using the following formula:
Figure BDA0002435535980000262
wherein D12 is the habitat disruptivity index, D12 is not less than 0 and not more than 1, the smaller D12 is, the more disrupted the habitat suitable for fish to live in, the poorer the habitat quality is, the larger D12 is, the better the connectivity of the habitat suitable for fish to live in and the better the habitat quality is.
The invention is described in detail below with reference to the accompanying drawings and specific examples of the Jinsha river downstream (main stream) and the Chishu river (branch stream).
The suitability evaluation method for river alternative habitat protection comprises the following steps:
(1) and collecting relevant basic data information of the downstream (main stream) of the Jinsha river and the red water river (branch stream) according to the suitability evaluation index system, such as hydrology, water environment, topography and landform of the river, the number of fish species, economic data and the like. According to the collected basic data information, selecting hydrological similarity D1, water environment similarity D3 and river topographic similarity D4 as characterization indexes of habitat similarity C1, selecting native fish species similarity D5, specific fish species similarity D6 and fish species similarity D7 with emphasis on protection as characterization indexes of species similarity C2, selecting longitudinal connectivity D8 as characterization indexes of tributary connectivity C3, selecting biodiversity D10 as characterization indexes of ecological health C4, selecting hydroelectric power generation value D13 as characterization indexes of main stream development value C5, and selecting aquatic product value D14, aquatic product value D15, shipping value D17, tourist income D18 and hydropower tributary undeveloped tributary loss opportunity cost D23 as characterization indexes of ecological value C6.
(2) According to an index system, index scores (D1-D23) of an index layer are calculated firstly, index scores (C1-C6) of sub-index layers are calculated, index scores (B1-B3) of a criterion layer are calculated, and finally target layer index scores (A1) are calculated in a gathering mode, wherein the specific calculation of each index is as follows:
hydrologic similarity D1
According to the collection situation of hydrological basic data, 6 indexes of a daily flow process (E1), a water rising frequency in a spawning period (E2), a water rising day number in the spawning period (E3), a water rising duration in the spawning period (E4), a daily water level process (E5) and a daily water temperature process (E6) are selected to reflect the hydrological similarity of the downstream of the Jinshajiang river and the Chishui river. And (3) applying the method for calculating the habitat similarity, and for the constant-type similar elements, applying the following formula to calculate the similar element value.
Figure BDA0002435535980000271
Figure BDA0002435535980000272
For the time-type semblance, the following formula is applied to search the most similar interval and the corresponding semblance value.
Figure BDA0002435535980000273
The calculation results show that the daily flow process similarity factor value E1 is 0.729, the spawning period water rise time similarity factor value E2 is 0.664, the spawning period water rise day similarity factor value E3 is 0.088, the spawning period water rise duration similarity factor value E4 is 0.395, the daily water level process similarity factor value E5 is 0.687, and the daily water temperature process similarity factor value E6 is 0.833. The index value of the hydrological similarity D1 was calculated as follows:
D1=λ1E1+λ2E2+λ3E3+λ4E4+λ5E5+λ6E6
=0.308×0.729+0.099×0.664+0.125×0.088+0.170×0.395+0.069×0.687+0.229×0.833
=0.607
in the formula, λ1~λ6The weight coefficient (2) is calculated by constructing an element importance comparison matrix according to a nine-scale method.
Water environment similarity D3
According to the collection condition of the monitoring data of the water environment, the dissolved oxygen DO content (E9), the pH value (E10), the phosphorus P (E11) and the ammonia nitrogen NH are selected in the embodiment3-N(E12)、CODMn(E13) And 6 indexes of lead Pb (E14) reflect the similarity of the water environment of the downstream of the Jinshajiang river and the red river. The similarity element values of the indexes E15-E20 are calculated by applying the method for calculating the habitat similarity and the following formulas.
Figure BDA0002435535980000281
Figure BDA0002435535980000282
The calculation results are that the DO content similarity value E15 is 0.963, the pH similarity value E16 is 0.992, the phosphorus P similarity value E17 is 0.542, and the ammonia nitrogen NH3Phase of-N0.522 for analogous value E18, CODMnThe similarity value of E19 is 0.445, and the similarity value of lead Pb E20 is 0.621. The index value of the hydrological similarity D3 was calculated as follows:
D3=λ15E15+λ16E16+λ17E17+λ18E18+λ19E19+λ20E20
=0.391×0.963+0.310×0.992+0.033×0.542+0.134×0.522+0.054×0.445+0.078×0.621
=0.849
in the formula, λ15~λ20The weight coefficient (2) is calculated by constructing an element importance comparison matrix according to a nine-scale method.
River landform similarity D4
According to the collection situation of the river topographic data, the embodiment selects 3 indexes of the sinuosity (E21), the riverbed ratio drop (E22) and the U/V/W section type proportion (E23) to reflect the river topographic similarity of the downstream of the Jinshajiang river and the red water river. The similarity element values of the indexes E21-E23 are calculated by applying the method for calculating the habitat similarity and the following formulas.
Figure BDA0002435535980000283
Figure BDA0002435535980000284
The calculation results were that the similarity element value E21 of the meandering degree was 0.759, the similarity element value E22 of the riverbed gradient was 0.712, and the similarity element value E23 of the U/V/W section type ratio was 0.728. The index value of the hydrological similarity D4 was calculated as follows:
D4=λ21E21+λ22E22+λ23E23+λ24E24
=0.547×0.759+0.109×0.712+0.344×0.728
=0.743
in the formula, λ21~λ24The weight coefficient (2) is calculated by constructing an element importance comparison matrix according to a nine-scale method.
Habitat similarity C1
The habitat similarity calculation result of the downstream of the Jinshajiang river and the red water river is as follows:
C1=α1D1+α3D3+α4D4=0.537×0.607+0.099×0.849+0.364×0.743=0.680
in the formula, α1、α3、α4The weight coefficient (c) is calculated by constructing an element importance comparison matrix according to a nine-scale method.
Species similarity of native fish D5
According to the statistical data of a plurality of units such as the aquatic organism research institute of the Chinese academy of sciences, the water engineering ecological research institute and the animal research institute of the Chinese academy of sciences in 2006 + 2013, 66 types of 89 native fishes distributed at the downstream of the Jinshajiang river are distributed in the red water river. From the scientific level of fish composition, all families distributed downstream of Jinshajiang are distributed in red water rivers, sturgeons, Acipenseridae, Anguillidae, Aromatidae, Cochinidae, bass, snakehead and medaka which are distributed in red water rivers are not distributed downstream of Jinshajiang, and carpidae is taken as a main group in both river segments. The calculated score of the species similarity index D5 for the indigenous fishes in the red river and the golden river was 0.742.
Figure BDA0002435535980000291
Species similarity of characteristic fish species D6
According to the investigation statistics of 2006 + 2013, among the native fishes distributed in the downstream of the Jinshajiang river, there are 42 kinds of special fishes belonging to the upstream of the Changjiang river, and the special fishes include 17 kinds of fishes belonging to the Xichang white fish, the Hunan white fish, the short buttock white fish, the naked xenopus saxatilis, the long body , the protodace, the schizothorax gracilis, the black spot Yunnan loach, the Kunming plateau loach, the anterior fin plateau, the Sichuan creeper loach, the Misgurnus anguillicaudati, the Changfennei flat loach, the middle buttock pseudo baggins, the Kimbasminum xanthani, the Kimba sinensis and the Kimba preprimitsu, and the other 25 kinds of fishes are distributed in the Chiense river. The calculated score of the fish similarity index D6 of the red river and the golden river is 0.595.
Figure BDA0002435535980000292
Species similarity for emphasis on protection of fish D7
According to the research statistics of 2006 plus 2013, 13 species of fish which belong to key protection fishes in the specific fish class of the upper reaches of the Yangtze river distributed in the lower reaches of the Jinshajiang river include kou copaiyu, rhinogobio ventralis, xenopus gymnasicus, pneumatophorus parvier, Sichuan white turtle, schizothorax parvier, schizothorax parvum, Lepidogrypus minor, Schizothorax parvier, Procypris rufii, Gastriga parvier and Proglutoglanism maculatum. Among the unique fishes distributed in the red water river upstream of the Yangtze river, 13 kinds of fishes which belong to key protection fishes comprise white sturgeons, acipenser dabryanus, myxocyprinus asiaticus, round-mouth coppers, rhinogobio ventralis, percocypriss nobilis, Sichuan white turtles, schizothorax brevifiliformis, small-scale schizothorax brevifiliformis, Sichuan schizothorax brevifiliformis, Procypris nitida and Changylus anguillicaudatus. Key protection objects commonly distributed in two river sections comprise 10 species of round-mouth coppers, rhinogobio ventralis, percocypris, Sichuan white turtles, schizothorax brevifiliformis, schizothorax parvifiliformis, minor scale schizothorax parvifiliformis, Sichuan schizothorax parviformis, Procypris carpi and Changyishi, and the similarity index is 0.769.
Figure BDA0002435535980000301
Species similarity C2
The specific calculation result of the species similarity between the downstream of Jinshajiang and the red water river is as follows:
C2=α5D5+α6D6+α7D7=0.333×0.742+0.333×0.595+0.333×0.769=0.702
in the formula, α5、α6、α7The weight coefficient (c) is calculated by an average weight method.
Longitudinal connectivity D8
The red river is the only one main branch of the main stream without building a river dam, the kilometer number C L of the water areas of the river which are longitudinally communicated is the same as the total kilometer number T L of all the water areas longitudinally, and therefore the longitudinal connectivity index D8 is 1.
Figure BDA0002435535980000302
Tributary connectivity C3
Due to the lack of the red river lateral connectivity data, tributary connectivity C3 is characterized by only longitudinal connectivity D8, so C3 ═ D8 ═ 1.
Biodiversity D10
In the embodiment, the biodiversity analysis of the red water river is carried out according to the result of continuously monitoring the fish community structures of the source, the upstream, the midstream and the downstream river of the red water river in the spring and autumn fishing season of 2006-2013 of the institute of aquatic organisms of Chinese academy of sciences. The Shannon-Wiener indexes of the source, the upstream, the midstream and the downstream river segments of the red river are calculated by applying the following formula.
pi=Ni/N
The Shannon-Wiener index H values of the river head, the upstream, the midstream and the downstream river reach are calculated to be 2.51 on average, the biodiversity index D10 is assigned according to the table 2, and the D10 score is 0.501.
Ecological health C4
Because the flow field data of the red water river is deficient, indexes such as available habitat area and habitat fragmentality index for weighting are difficult to calculate, and the biodiversity D10 of the fish in the red water river is used to characterize the ecological health of the red water river, so that C4 is D10 is 0.501.
Hydroelectric value D13
The hydroelectric generation value of the Jinshajiang river main stream can be expressed by the product of the electricity price and the generated energy. The power stations of the family dam and the stream Luo Du serve as a group of power sources to uniformly check the power price of the Internet, and the average power price of the Internet is 0.3482 yuan/kWh (tax). In the embodiment, 0.3482 (yuan/kWh) is taken as the annual average online electricity price of the Jinsha river main flow cascade hydropower station, the designed total installed capacity of 38500MW of Wudongde, Baihe beach, Xiluodi and four cascade hydropower stations facing a family dam is 1753.6 hundred million kWh in average annual energy production, and the annual total electricity generation value of the Jinsha river main flow is estimated to be 610.60 yuan, namely the hydroelectric value of the Jinsha river main flow is D13 to 610.60 yuan.
Industrial value D14
The brewing industry in the red water river area is developed, and the proportion of the red water in the red water river area accounts for a large industrial output value. The region has two marketing companies of Maotai and Chitian and a plurality of white spirit production enterprises, and is an important special light industrial food base and chemical industry base in the whole province. The maotai, tan wine, learning wine, lang wine, Dong wine, Huai wine, Luzhou Laojiao and other 10 kinds of beautiful wine at all ages account for 60% of famous Chinese wine, and the direct practitioners in the white spirit industry exceed 4 million people. And as of 2015, according to the requirements of 'clustering, intensification and branding', the stream basin continues to play the brand driving effect of the Maotai-concentrated dragon head enterprise, so that the construction of the parks such as the Renmayan liquor industrial park, the Maotai-circulating economic park, the water-learning liquor industrial park, the Chishui liquor industrial park and the jar factory modern economic service park is accelerated, the liquor capacity is improved, the share of the Maotai-flavor liquor sales volume in the national liquor market is improved to 5%, the total yield value of the liquor and the matched industry reaches 700 million yuan, namely the Chishui-river industrial value D14 is 700 million yuan.
Aquatic product value D15
The red river has been in natural communication with the Yangtze river, and thus becomes an important habitat or spawning ground for aquatic organisms such as representative fishes (particularly, stream fishes) upstream of the Yangtze river, and becomes an important aquatic organism gene bank. Of the 112 fish species recorded in the watershed, 29 species (Huang Zhen Li, 2003) are specific species in the upstream of the Yangtze river, accounting for 25.9% of the total number of fish species in the watershed. Of these, 15 species are those peculiar to the watershed or our country, such as the common tassel (Sinocrosocheilus labatus). In addition, after the three gorges reservoir is built to store water, about 40 kinds of stream fishes threatened by hydrologic condition change can also find their habitat or spawning ground in the red river. According to statistics and analysis of 3 river sections of fisheries in thatch town, red water city and Hejiang county, broad-fin decoration (Zacco platypus), Chinese barbed fish (Spinibarbus sinensis), glossy yellow catfish (Pell. teobagrus nitidus), Zhang (Hemichertchangii) and snake gorgeous (Sauroglobio dabryi) are main economic fishes in the red water river basin. According to yearly identification statistics, the fishery income in 2014 of the red water river basin is about 5996 yuan, namely the product value D15 of the red water river is 5996 yuan and 0.5996 yuan.
Shipping value D17
The Chishui river history is an important water channel for the transportation of a large amount of cargos between Chuan and Qian, the shipping is promised, the Qing Dynasty is named as Huaihe, the Qing Dynasty is called a Huaihe river after the Qing Qianlong age, the small-sized wooden ship can ascend to the Tiger in Jinsha county in sections, after the country is built, a han beach station is established through twice large-scale improvement, a 120t wheel and a 4 × 150t tug boat fleet can be navigated all the year round below the Chishui city, red water can be navigated to 10-25t wheels in the town of the Erlang, the Erlang town to the Maotai city can be navigated in season for 10t wheels, below the Baiyang city can be navigated for a long time and can be navigated in season for 5-165t wheels, according to 2009, the Chishui river basin freight transportation volume is about 277.5 ten thousand, the freight turnover volume is about 86798 ten thousand passengers, the delivery volume is about 97 thousand people, and the turnover volume is about 841 thousand.
From 2014, the red water river basin further promotes channel improvement and improves navigation conditions, a series of projects such as red water river (thatch-Hejiang), red water river wharf construction and channel upgrading modification, learning water river channel development, Cheng-thatch channel dredging project, Tungtang-county tung catalpine upstream (Qin river, Tianmen river, guancheng river and Nanxi river reach) 10 kilometers of river channels are developed, channel improvement is 78km, five-level channels reach 81km, six-level channels reach 249km, annual cargo transportation volume reaches 400 ten thousand tons, and unit cargo transportation market price is 0.06 million yuan/t km., and red water river transportation value is D17 249 × 400-400 × 0.06.06 million yuan/t 5976 million yuan.
Travel income D18
In the transition zone from Guizhou plateau to Sichuan basin in the red river, the landform is peculiar, Baichuan rivalry and numerous in species, the natural and human landscape is rich, the red river is a famous tourist attraction and has a plurality of national natural protection areas and scenic famous scenic spots. Wherein the red water danxia is successfully listed in the natural heritage list in the world. With the continuous improvement of the infrastructure and the matching conditions in the drainage basin, the scale of the tourism industry is continuously increased, and the tourism industry is gradually becoming one of the important industries in the drainage basin. The Renhuai city receives 61.26 ten thousand persons in 2008, and the Chishui city receives 175.66 ten thousand persons in 2010. Beginning in 2014, basins of Huanren, red water and Xishui three cities (counties) are used as supports, tourism development requirements of forming lines by connecting points and forming planes around characteristic resources are met, scenic spots of fine tourist scenic spots are promoted and built, composite tourism types such as ecological sightseeing, cultural exploration, leisure vacation, health maintenance and the like are developed rapidly, and upgraded rural tourism of the red water along the bank and the Renhong expressway along the four-in-the-countryside is promoted and promoted, and construction of tourism service facilities is strengthened. In conclusion, the value of the tourism industry in the drainage basin reaches 300 million yuan by 2015, namely, the tourism income D18 of the Chishui river is 300 million yuan.
Opportunity cost of undeveloped loss of branch hydropower D23
The developable capacity of the main flow hydropower resources of the red river is 74.4 thousands KW, which is equivalent to the capacity (70 thousands KW) of one unit of the three gorges hydropower station (Huangzhen, 2003). The average utilization time of national hydropower equipment at the end of 2014 is 3653 hours, wherein the average utilization time of the national hydropower equipment in Guizhou province is 3494 hours (the union of China electric power enterprises, 2015), and the available electric quantity of the red-water river main stream hydropower resource development is 26 hundred million KWh each year. The average price of the power on the internet in Guizhou province is about 0.296 yuan/kWh (tax). The total power generation value of the red river in dry flow is estimated to be 7.696 hundred million yuan, namely the cost loss of the red river in the opportunity of generating water and electricity D23 is 7.696 hundred million yuan.
Ecological value of substream C6
The ecological value of the red river (branch) is calculated by applying the following formula, and the calculation result is as follows:
C6=D14+D15+D17+D18+D19-D23
700+0.5976+0.5996+ 300-7.696-993.5012 hundred million yuan.
Alternative suitability B1
The substitute suitability of the downstream of the Jinshajiang river and the red river is calculated by the following formula, and the calculation result is
B1=β1C1+β2C2=0.5×0.680+0.5×0.702=0.691
In the formula, β1、β2The weight coefficient of (2) is calculated by an average weight method.
Suitability for protection B2
The protection suitability of the downstream of the Jinshajiang river and the red river is calculated by the following formula, and the calculation result is
B2=β3C3+β4C4=0.4×1+0.6×0.501=0.701
In the formula, β3、β4The weight coefficient (2) is calculated by constructing an element importance comparison matrix according to a nine-scale method.
Economic suitability B3
The economic suitability of the downstream of the Jinshajiang river and the red river is calculated by the following formula, and the calculation result is
Figure BDA0002435535980000341
Then B3 becomes 1
Suitability index A1
The suitability index of the Chishui river (branch) as the downstream (main stream) of the Jinshajiang river for habitat protection can be calculated by applying the following formula, and the calculation result is as follows:
A1=γ1B1+γ2B2+γ3B3=0.333×0.691+0.333×0.701+0.333×1=0.797
(3) according to the score of the feasibility index A1 of river instead of habitat protection, the suitability index grade corresponding to the A1 value interval is compared, and therefore the suitability of the red water river as the Jinshajiang river downstream river instead of habitat protection belongs to the "suitable" grade.
The embodiments of the present invention have been described in detail. However, the present invention is not limited to the above embodiment, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.

Claims (15)

1. A method for evaluating the suitability of river substitute habitat protection is characterized by comprising the following steps:
(1) constructing indexes of suitability evaluation of river substitute habitat protection, wherein the indexes comprise hydrological similarity D1, hydrodynamic similarity D2, water environment similarity D3, river terrain and landform similarity D4, native fish species similarity D5, specific fish species similarity D6, important protected fish species similarity D7, longitudinal connectivity D8, transverse connectivity D9, biodiversity D10, hydraulic habitat adaptability index D11, habitat fragmentality index D12, hydroelectric power generation value D13, industrial value D14, aquatic product value D15, irrigation benefit D16, shipping benefit D17, tourism benefit D18, biodiversity value D19, water and soil conservation value D20, conservation water source value D21, purified water quality value D22 and hydropower tributary undeveloped loss opportunity cost D23;
(2) constructing a sub-target layer for evaluating the suitability of river replacement habitat protection, wherein the sub-target layer comprises habitat similarity C1, species similarity C2, branch connectivity C3, ecological health C4, main stream development value C5 and branch ecological value C6;
(21) habitat similarity C1
The habitat similarity C1 is calculated by the following formula:
C1=α1D1+α2D2+α3D3+α4d4, wherein:
α1~α4weight coefficients of D1-D4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(22) species similarity C2
Species similarity C2 was calculated by the following formula:
C2=α5D5+α6D6+α7d7, wherein:
α5~α7weight coefficients of D5-D7, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(23) tributary connectivity C3
Tributary connectivity C3 is calculated by the following equation:
C3=α8D8+α9d9, wherein:
α8~α9weight coefficients of D8-D9, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(24) ecological health C4
Ecological health C4 was calculated by the following formula:
C4=α10D10+α11D11+α12d12, wherein:
α10~α12weight coefficients of D10-D12, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(25) dry stream development value C5
The dry flow development value C5 is the power generation benefit and is characterized by the hydroelectric power generation value;
(26) ecological value of substream C6
The side stream ecological value C6 was calculated by the following formula:
C6=D14+D15+D16+D17+D18+D19+D20+D21+D22-D23;
(3) constructing a criterion layer for evaluating the suitability of river substitute habitat protection, wherein the criterion layer comprises substitute suitability B1, protection suitability B2 and economic suitability B3;
(31) alternative suitability B1
The alternative suitability B1 is calculated by the formula:
B1=β1C1+β2c2, wherein:
β1、β2weight coefficients of C1 and C2, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(32) suitability for protection B2
The protective suitability B2 was calculated by the following formula:
B2=β3C3+β4c4, wherein
β3、β4Weight coefficients of C3 and C4, which are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
(33) economic suitability B3
The economic suitability B3 is calculated by the following formula:
Figure FDA0002435535970000021
wherein:
1 is proper, 0 is not proper;
(4) calculating the suitability index A1 to obtain the suitability grade of the river for replacing the habitat protection
The suitability index a1 is calculated by the following formula:
A1=γ1B1+γ2B2+γ3b3, wherein:
γ1、γ2、γ3the weight coefficients of the three indexes of B1, B2 and B3 are determined according to a conventional analytic hierarchy process, a least square method, an entropy weight method, an expert scoring method and an average weight method;
when A1 is more than 0.8 and less than or equal to 1, the suitability level is highly suitable, the population structure similarity of the dry and branch species is high, the similarity of the habitat conditions is high, the connectivity of the dry and branch is strong, the branches are ecological and healthy, the quality and the quantity of the biological habitats are high, and the ecological value of the branches is high;
when A1 is more than 0.6 and less than or equal to 0.8, the suitability level is proper, the population structure and the habitat condition of the dry and branch flow species are basically similar, the connectivity of the dry and branch flows is strong, the branch flow ecological system is degraded to a certain extent, but the number of the biological habitats is large, and the ecological value of the branch flows is high;
when A1 is more than 0.4 and less than or equal to 0.6, the suitability level is generally suitable, the similarity of the population structure of the dry branch and the habitat conditions is general, the connectivity of the dry branch and the tributary is general, the tributary ecosystem is degraded to a certain extent, the number of the biological habitats is moderate, and the tributary ecological value is moderate;
when A1 is more than 0.2 and less than or equal to 0.4, the suitability level is barely suitable, the population structure and the habitat condition of the dry and branch flow species are generally similar, the connectivity of the dry and branch flows is poor, the branch flow ecological system is degraded to a large extent, the number of biological habitats is small, and the ecological value of the branch flows is low;
when A1 is more than or equal to 0 and less than or equal to 0.2, the suitability level is not suitable, the population structure of the species of the main and branch streams is basically dissimilar to the habitat condition, the connectivity of the main and branch streams is poor, the ecological system of the branch streams is seriously degraded, the number of the biological habitats is very small or disappears, and the ecological value of the branch streams is low.
2. The method for evaluating the suitability of river replacement habitat protection as claimed in claim 1, wherein the hydrologic similarity D1 is comprehensively evaluated by selecting a daily flux process E1, a number of times of rising water in a spawning period E2, a number of days of rising water in a spawning period E3, a duration of rising water in a spawning period E4, a daily water level process E5, and a daily water temperature process E6, and the calculation formula is as follows:
D1=λ1E1+λ2E2+λ3E3+λ4E4+λ5E5+λ6E6
in the formula, λ1~λ6The weight coefficients are determined by conventional analytic hierarchy process, least square process, entropy weight process, expert scoring process and average weight process, and are E1-E6.
3. The method of claim 2, wherein the number of rising water times in egg-laying period E2, the number of rising water days in egg-laying period E3, and the duration of rising water in egg-laying period E4 in the subordinate class E criteria of the hydrological similarity D1 belong to a constant similarity element, which means that the characteristic properties of the similar elements between systems change less significantly or slowly with time and are considered to be constant for a long period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure FDA0002435535970000041
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure FDA0002435535970000042
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure FDA0002435535970000043
4. The suitability evaluation method for river replacement habitat protection according to claim 2, wherein, in subordinate class E indexes in the hydrologic similarity D1, a daily flow rate process E1, a daily water level process E5 and a daily water temperature process E6 belong to time-type similarity elements, and the time-type similarity elements are similarity elements in which characteristic attributes of the system-to-system similarity elements change significantly with time, wherein:
converting the similarity degree of the similar elements into membership degree in fuzzy mathematics, wherein the value range of the similar elements can be represented as [0,1], 0 represents dissimilarity, 1 represents identity, the range between 0 and 1 represents the similarity degree, and the closer the value of the similar elements is to 1, the higher the similarity degree is;
the calculation of the time-type semblance includes:
an element feature attribute with a time series can be represented in a piecewise linear manner, which is generally in the form:
Y={(y1,y2,t2),…,(yi-1,yi,ti),…,(yn-1,yn,tn)}
in the formula, yi-1,yi(i-2, …, n) are respectively the starting value and the end value of the i-1 th straight line; t is tiThe time represented as the end of the i-1 th segment of the straight line; n represents the number of segments of the time series Y;
the trend of the time series is represented by a slope, i.e. the time series Y can be represented as a set of line segments with a certain slope, and therefore, the set of slopes defining the time series is shown as follows:
Y={(k1,t2),…,(ki-1,ti),…,(kn-1,tn)}
in the formula, ki-1=(yi-yi-1)/(ti-ti-1) The slope of the i-1 th segment of straight line; t is tiIs the end time of the i-1 th straight line;
since the slope has a range of [ - ∞, + ∞ ], belonging to an unbounded function, the similarity of time series expressed based on the slope distance is difficult to measure, and therefore, the time series can be expressed as a slope angle:
Y={(α1,t2),…,(αi-1,ti),…,(αn-1,tn)}
in the formula, αi-1=arctan(ki-1) Is the slope angle of the i-1 th segment line, αi-1∈[-π/2,π/2];
In general, after linear segmentation, the time corresponding to each end point of two time series is not completely consistent, and the length of each corresponding straight line is not the same, so before similarity analysis of the time series, the time of a slope angle set needs to be equally divided, and two time series Y' are { (α)1′,t3),(α2′,t4),(α3′,t6)},Y″={(α1″,t2),(α2″,t5),(α3″,t6) After the time peer-to-peer subdivision is carried out, two time sequences can be rewritten as follows:
Y′={(α1′,t2),(α1′,t3),(α2′,t4),(α3′,t5),(α3′,t6)}
Y″={(α1″,t2),(α2″,t3),(α2″,t4),(α2″,t5),(α3″,t6)}
if the element characteristic curves of the two time series have the same change trend but a phase difference exists between the curves, the two time series are still considered to be similar; however, the conventional similarity calculation method only calculates the similarity value and determines the degree of similarity by comparing the similarity of the feature values of the two time sequences at each same time, but the similarity result calculated by the conventional method cannot identify the dislocation similarity rules hidden in the two time sequences, so that it is necessary to search for the similarity between the two time sequences and calculate the similarity value thereof, so as to find the most similar segment and the translation time therein;
two time sequences Y 'and Y' which are processed by time and are represented by a slope angle set are subjected to time peer-to-peer processing, the similarity element values of the two sequences are respectively calculated through gradual translation of the two sequences in time, and then the section with the highest similarity and the corresponding translation time are searched, namely:
it is assumed that the sequences Y' and Y ″ have an equal time interval Δ t ═ ti-ti-1If Y' is shifted by | j | time intervals (j is positive to the right and negative to the left), then the curve segments of the two sequences overlapped in time are reduced to n-1- | j | segments;
when j >0, the overlap can be expressed as:
Y′={(α1+j′,t2+j),…,(αi-1′,ti),…,(αn-1′,tn)},Y″={(α1″,t2),…,(αi-1-j″,ti-j),…,(αn-1-j″,tn-j)}
when j <0, the overlap can be represented as:
Y′={(α1′,t2),…,(αi-1-|j|′,ti-|j|),…,(αn-1-|j|′,tn-|j|)},Y″={(α1+|j|″,t2),…,(αi-1″,ti),…,(αn-1″,tn)}
after translation, the values of the semblance elements of the two time series can be calculated by:
Figure FDA0002435535970000061
and (3) setting a translation threshold value to be more than or equal to 0 and the upper limit of the translation threshold value not to exceed 1/4 of the whole time sequence, fixing the sequence Y ', translating the sequence Y', calculating the similar element value through gradual translation in the range of | j | ≦ and searching the time section when the similar element value reaches the maximum, namely the most similar section, and recording the corresponding translation time and the maximum similar element value.
5. The suitability assessment method for river replacement habitat protection as claimed in claim 1, wherein the hydrodynamic similarity D2 is comprehensively assessed by the similarity of the average flow velocity E7, the average flow velocity gradient E8, the average water depth E9, the average water surface width E10, the average froude number E11, the average reynolds number E12, the average vorticity E13, and the average kinetic energy gradient E14, which are calculated by the following formula:
D2=λ7E7+λ8E8+λ9E9+λ10E10+λ11E11+λ12E12+λ13E13+λ14E14
in the formula, λ7~λ14The weight coefficients are determined by conventional analytic hierarchy process, least square process, entropy weight process, expert scoring process and average weight process, and are E7-E14.
6. The suitability assessment method for river replacement habitat protection as claimed in claim 5, wherein the average flow rate E7, average flow rate gradient E8, average water depth E9, average water surface width E10, average froude number E11, average reynolds number E12, average vorticity E13, and average kinetic energy gradient E14 in the subordinate class E indexes in hydrodynamic similarity D2 belong to constant semblance, which means that the characteristic property of the inter-system similar elements changes less obviously or slowly with time and can be regarded as constant over a longer period of time, wherein:
the calculation of constant type semblance includes:
in system AElement a ofiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure FDA0002435535970000071
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure FDA0002435535970000072
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure FDA0002435535970000073
7. The suitability evaluation method for river replacement habitat protection as claimed in claim 1, wherein the water environment similarity D3 is determined by dissolved oxygen DO content E15, pH value E16, phosphorus nutrient index E17, ammonia nitrogen NH3-N nutritive salt index E18, CODMnThe similarity of E19 and lead content E20 was evaluated comprehensively and calculated using the following formula:
D3=λ15E15+λ16E16+λ17E17+λ18E18+λ19E19+λ20E20
in the formula, λ15~λ20Is E15 to E20And the weight coefficient is determined according to a conventional analytic hierarchy process, a least square process, an entropy weight process, an expert scoring process and an average weight process.
8. The suitability evaluation method for river replacement habitat protection as claimed in claim 7, wherein the water environment similarity D3 is evaluated by the following E-level indexes, dissolved oxygen DO content E15, pH value E16, phosphorus nutritive salt index E17, ammonia nitrogen NH3-N nutritive salt index E18, CODMnE19, the lead content E20 belongs to constant type similar elements, the constant type similar elements refer to that the characteristic attribute of the similar elements among systems changes less obviously or slowly with time, and can be regarded as constant quantity in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure FDA0002435535970000081
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure FDA0002435535970000082
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure FDA0002435535970000083
9. The suitability evaluation method for river replacement habitat protection as claimed in claim 1, wherein the river topography similarity D4 comprehensively evaluates the dry and branch river topography similarity by a meandering degree E21, a riverbed gradient E22, a U/V/W section type ratio E23 and a shoal-deep pool density E24, and the calculation formula is as follows:
D4=λ21E21+λ22E22+λ23E23+λ24E24
in the formula, λ21~λ24The weight coefficients are determined by conventional analytic hierarchy process, least square process, entropy weight process, expert scoring process and average weight process, and are E21-E24.
10. The suitability assessment method for river replacement habitat protection as claimed in claim 9, wherein among the subordinate E-level criteria of the river topography similarity D4, the meandering degree E21, the river bed gradient E22, the U/V/W section type ratio E23, and the shoal-deep pool density E24 belong to constant similarity element, which means that the characteristic property of the similar elements between systems changes less obviously or slowly with time, and can be regarded as a constant quantity in a longer period of time, wherein:
the calculation of constant type semblance includes:
let element a in System AiAnd element B in System BjForming a kth similarity element for the corresponding similarity elements, and blurring the size q (u) of the similarity elementk) The method can be characterized by the weighting and the characterization of the characteristic value proportion of the similar elements, and the specific calculation formulas of the characteristic value proportion and the similar elements are as follows:
Figure FDA0002435535970000091
in the formula, yl(ai)、yl(bj) Respectively is a standardized element aiAnd element bjThe characteristic value of the ith feature of (1); r isl(ai/bj) Is an element aiAnd element bjIs abbreviated as rlIn order to make the eigenvalue proportion and the value range of the similar element in [0,1]]In between, it is specified that the smaller value of the characteristic value is a numerator, the larger value is a denominator,
Figure FDA0002435535970000092
in the formula, q (u)k) Is the value of the kth semblance element, 0 ≦ q (u)k)≤1;dlFor the weight of each feature, d is 0. ltoreq.l≤1,
Figure FDA0002435535970000093
11. The method of claim 1, wherein the species similarity D5 of the native fishes is a ratio of species number of the native fishes distributed in the main stream to species number of the native fishes distributed in the subsidiary stream, and is calculated by the following formula:
Figure FDA0002435535970000094
in the formula, E5Dry flowThe number of indigenous fish species distributed in the main stream;
E5branch flowThe species number of the native fishes distributed in the main stream and the species number of the native fishes distributed in the branch stream are also distributed;
the characteristic fish species similarity D6 is the ratio of the number of species distributed in the main stream and the branch stream, and is calculated by the following formula:
Figure FDA0002435535970000095
in the formula (I), the compound is shown in the specification,
E6dry flowIs driedNumber of unique fish species distributed in the stream;
E6branch flowThe number of species distributed in the substreams for the characteristic fish distributed in the main stream.
12. The method of claim 1, wherein the similarity of species D7 of the important protected fishes is a ratio of species number of the main stream distributed important protected fishes distributed in the main stream and the sub-stream, and is calculated by the following formula:
Figure FDA0002435535970000101
in the formula, E7Dry flowProtecting the number of fish species for distribution emphasis in the main stream;
E7branch flowThe number of species in the tributary for the important protection of fish distribution in the main stream;
the longitudinal connectivity D8 is expressed by the ratio of the kilometers of the water area longitudinally connected with the river to the total kilometers of all the water areas longitudinally, and the specific calculation formula is as follows:
Figure FDA0002435535970000102
wherein C L is the kilometer number of the water area where the river is longitudinally communicated;
t L is the total kilometers of all waters in the longitudinal direction of the river.
13. The method for evaluating the suitability of river replacement habitat protection as claimed in claim 1, wherein the transverse connectivity D9 is expressed by a ratio of the kilometer number of a natural river bank or an ecological material revetment (non-hard revetment bank) of the river to the total kilometer number of the river bank, and the specific calculation formula is as follows:
Figure FDA0002435535970000103
in the formula, N L is the kilometer number of the natural river bank or ecological material bank protection of the river;
r L is the total kilometers of river bank.
14. The method for evaluating the suitability of river replacement habitat protection as claimed in claim 1, wherein the biodiversity D10 is characterized by the biodiversity of river ecosystem represented by the diversity of fish species, and the specific calculation is performed by Shannon-Wiener index method, and the calculation formula is as follows:
Figure FDA0002435535970000111
pi=Ni/N
in the formula, piIs the relative abundance of the ith species, N is the number of samples, NiThe number of species i is the sum of the numbers of all species in the community.
15. The suitability evaluation method for river substitute habitat protection according to claim 1, wherein the hydraulic habitat suitability index D11 reflects the health of river ecosystem, and the calculation formula is as follows:
Figure FDA0002435535970000112
in the formula, aiTo calculate the area of cell i, m2
HSIiTo calculate the habitat suitability index for unit i,
Figure FDA0002435535970000113
weighting the available area of the fish habitat;
and N is the number of calculation units.
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