CN102034214A - Health evaluation method for eutrophic lakes - Google Patents
Health evaluation method for eutrophic lakes Download PDFInfo
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- CN102034214A CN102034214A CN2010105959384A CN201010595938A CN102034214A CN 102034214 A CN102034214 A CN 102034214A CN 2010105959384 A CN2010105959384 A CN 2010105959384A CN 201010595938 A CN201010595938 A CN 201010595938A CN 102034214 A CN102034214 A CN 102034214A
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Abstract
The invention discloses a health evaluation method for eutrophic lakes, which comprises the following steps of: 1, according to the requirements of lake management, starting with an integral river basin, and determining a comprehensive evaluation index system containing the natural attribute for maintaining the life health of the eutrophic lakes and the social attribute of the lakes for satisfying sustainable development demands of human society; 2, establishing an evaluation model including a data entry and processing calculation module, a single factor evaluation calculation module and a comprehensive evaluation calculation module based on the multifactor comprehensive principle and the fuzzy relation synthesis principle according to the comprehensive evaluation index system established in the step 1; and 3, entering basic data to the evaluation model, and performing the health evaluation of the lakes by a calculation result outputted by the evaluation model. By the method, the health condition of the eutrophic lakes can be determined quickly, model software has the advantages of visual result expression, convenience for application and the like, and an effective technical management tool can be provided for the lake management.
Description
Technical field
The invention belongs to aquatic attitude field, relate to a kind of ecological model structure, computing method and software match, relate in particular to a kind of health assessment method of eutrophic lake.
Background technology
The lake provides rich in natural resources for human development, is bringing into play important role for ensureing the sustainable development of socio-economy.But along with the quickening of industrialization and Development of China's Urbanization, mankind's activity increasingly sharpens to the influence in lake, and pollution and eutrophication are serious, and the ecological functions atrophy is degenerated, and blue-green alga bloom frequently breaks out, and directly affects the Human's production life.Lake eutrophication has become a key factor of restriction socio-economic development.For strengthening the health control of eutrophic lake, in time hold the development trend of eutrophic lake, keep one and have " variation-adaptation-reparation-change again " the self-adaptation ability of cyclic process and healthy lake of self-repairing capability, accomplish that people and lake get along amiably and peacefully, be necessary very much to propose a kind of suitable eutrophic lake health assessment method, so that the health status of objective grasp eutrophic lake, and provide scientific and effective technological means for lake ecological reparation and amber management.
The origin of the healthy thought in lake, river can trace back to " natural health " that Scotland ecologist James Hutton in 1778 mentions.Costanza in 1992 have promoted the notion of ecosystem health on the basis of former achievements, emphasize that the ecosystem of a health must keep the metabolic activity ability, keep inner structure and tissue, and pressure to external world must have reparation power.This conception of species is still extensively approved so far.
Research to the lake health status evaluation at present mainly concentrates on environmental health evaluation field, and its focal point is to set up suitable environmental health assessment indicator system.Research about the evaluation index leading indicator system of lake health also forwards the index system that adds mankind's activity to by the index system of initial single consideration ecosystem own characteristic, a lot of evaluation indexes have successively been proposed, as biological integrality index, hair yield-power index (GEP), ecosystem pressure index, response index, thermodynamics index etc.Yet the lake of nature is not only in the lake, especially She Hui lake.Can not satisfy human wants when the service that the lake provides, have a strong impact on human existence and development because of reasons such as flooding of rivers or drought and water shortage and water pollutions, just produce the problem of " lake is unhealthy " as the lake region.Therefore, what in fact the lake health degree reflected is the coordination degree human and lake, and this comprises the human degree of recognition and the human degree of protection that gives the lake that the lake is provided sustainable service to the mankind.Lake health is talked by the social service function that isolates the lake system does not have practical significance.Therefore in the health assessment in lake, must consider the social service function in lake.The content that seldom comprises social service function in the health assessment of regrettably existing lake.
The evaluation method of ecosystem health mainly contains indicator species method and two kinds of methods of index system evaluation assessment.The indicator species method mainly is the health status that quantity, biomass, yield-power, structure, functional parameter and some physical signs of the crucial species according to the ecosystem, peculiar species, indicator species, endangered species and environment sensitive species etc. described the ecosystem.The index system evaluation rule is set up index system according to ecosystem features and service function thereof and is carried out quantitative evaluation.The index system evaluation assessment is divided into single index evaluation, composite index evaluation and index system evaluation again according to different demands.The concrete model method that evaluation on Ecosystem Health adopts comprises overall target evaluation assessment and Field Using Fuzzy Comprehensive Assessment two classes.Wherein, the overall target evaluation assessment is generally determined the index weight by analytical hierarchy process, makes up aggregative index the system health situation is carried out the comprehensive and quantitative judge; Field Using Fuzzy Comprehensive Assessment is handled the lake health problem as a fuzzy problem, to the condition of evaluation object existence itself or the being this or that property that is subordinate to, in quantity composition under it is given delineation and description according to a plurality of factors.Field Using Fuzzy Comprehensive Assessment can be avoided the uncertainty of subjective judgement ecosystem health standard, is very suitable for subjectivity, the compound eutrophic lake health assessment of objective indicator, and is highly susceptible to realizing the foundation of software model.
Summary of the invention
Technical matters to be solved by this invention is: the eutrophic lake many for influence factor, that coverage is wide, decision making package is difficult provide a kind of can from a plurality of angles determine fast lake Health Category and health status be convenient to use, the very effective intuitively technical management instrument of results expression.
For solving the problems of the technologies described above, the invention provides a kind of health assessment method that is applicable to eutrophic lake, this method may further comprise the steps:
Step 1 according to the demand of lake management, is started with from basin integral body, determines to comprise the assessment indicator system of lake natural quality and social property; Reflect that wherein the natural quality index of maintaining eutrophic lake self life and health relates generally to indexs such as lake natural form, water quality and eutrophication, aquatic ecological, the social property index that the human social demand is served in the reflection lake relates generally to indexs such as flood control, water supply, ecology, development and use.Index screening is followed the principle that systematicness, science, representativeness, comparability, operability, practicality and data are easy to get.
Step 2, the System of Comprehensive Evaluation of setting up according to step 1 is set up an evaluation model that comprises data typing and processing, single factor evaluation, three computing modules of comprehensive evaluation based on multifactor Synthesis principle and fuzzy relation composition principle; This model can provide a certain single factor health assessment in lake, two kinds of Function of Evaluation of the healthy comprehensive evaluation in lake.Each module realizes by the different step of subordinate:
1) data typing and processing computing module
A, each index is carried out the type unification transform, the index after the conversion is characterized by: the more little sign of desired value lake health characteristics is tending towards unfavorable more; The big more sign of desired value lake health characteristics is tending towards favourable more.Concrete transform method is x
*=M-x or
(x＞0).
B, index carried out nondimensionalization handle, specifically can adopt " extreme differenceization " disposal route:
(M, m are respectively maximum, the minimum value of observation).
C, index is carried out data normalization handle, make each index value interval range after the processing between 0～100, specifically can adopt function disposal routes such as line style normalization, logarithm normalization and index normalization.
2) single factor evaluation computing module
This module comprises a data library unit, but comprises the opinion rating of determining based on long series materials and regulatory requirement of all typing indexs of model and the data of evaluation criterion; Module can be differentiated according to data typing and processing module signal transmitted data, and output is about the Health Category of a certain index aspect, this lake.
3) comprehensive evaluation computing module
A, establish the factor that influences eutrophic lake health n, U={u are arranged
1, u
2..., u
nRepresent the evaluation index set that each influence factor is formed, and set up decision-making comment collection S, i.e. health assessment grade scale, S represents a n evaluation index m classification standard; Wherein, S
I, jRepresent j classification standard of i evaluation index;
After b, the structure decision-making comment collection S, to being quantized one by one, promptly determine the degree of membership of each evaluation index, and then determine the fuzzy relationship matrix r of this layer index each grade of comment collection by the subjection degree of each evaluation index of evaluation element;
Wherein, r
IjRepresent that i evaluation index is under the jurisdiction of the degree of membership of j grade, i=1,2 ..., n; J=1,2 ..., m; R
i={ r
I1, r
I2..., r
ImBe meant i the fuzzy subset who is marked on the comment collection S;
C, according to the relative importance of each index, give different weights respectively, the allocation matrix that the weight of each factor is formed is:
W＝{w
1，w
2，…，w
n}
Wherein,
I=1,2 ..., n;
D, according to the Fuzzy Compound operational formula, by passing judgment on matrix R and each index weight vector W, try to achieve the upper strata index and be the degree of membership matrix of m health level:
H＝W·R＝[H
1，H
2，…，H
m]
Wherein, H
i=[w
1, w
2..., w
n] [r
1i, r
2i..., r
Ni]
T
E, the degree of membership matrix H of m health level is carried out normalized, obtain the degree of membership matrix of assessment indicator system, thereby judge its health status m health level.
As a preferred embodiment of the present invention, described natural quality index includes but are not limited to indexs such as enclosing and cultivating intensity, mouthful unimpeded rate of door, Nei Meiluo index, TLI index, blue-green algae quantity, protozoan quantity, annelid quantity; Described social property index includes but are not limited to indexs such as flood control standard fitness, flood control works serviceability rate, water head site water quality reaching standard rate, mouthful door water supply fraction, water front utilization rate.
Beneficial effect of the present invention is: the present invention provides a kind of very effective technical management instrument for the lake management, can export a certain single factor health assessment result in lake and comprehensive evaluation result simultaneously, and when determining the lake Health Category rapidly, identify the main restricting factor of lake health quickly and accurately, the easy application of model, output results expression directly perceived.
Description of drawings
Fig. 1 is the process flow diagram of the health assessment method of eutrophic lake of the present invention.
Embodiment
The present invention is directed to current lake health research and concentrate on the realistic problem of paying close attention in natural quality angles such as water quality, eutrophication situation, ecosystem health, the lake management that lake social service function is left in the basket, lake health effect factor is many, coverage is wide, decision making package is difficult mostly, proposed a kind of health assessment method of eutrophic lake.This method is according to the demand of lake management, start with from basin integral body, analysis indexes, determine to comprise the assessment indicator system that the social property of human social demand is served in the natural quality that maintains eutrophic lake self life and health and lake, set up an evaluation model that comprises data typing and processing, single factor evaluation, three computing modules of comprehensive evaluation based on multifactor Synthesis principle and fuzzy relation composition principle then; By typing basic data output lake health assessment result.The present invention can fast, accurately identify the main restricting factor of lake health when determining the health status of eutrophic lake rapidly.Below in conjunction with accompanying drawing the specific embodiment of the present invention is described in further detail.
Embodiment
Present embodiment provides a kind of health assessment method of eutrophic lake, and as shown in Figure 1, this method may further comprise the steps:
(1) determines assessment indicator system
According to the demand of lake management, start with from basin integral body, analyze the natural quality index of maintaining eutrophic lake self life and health, consider that simultaneously the lake serves the social property index of human social demand.Index screening is followed the principle that systematicness, science, representativeness, comparability, operability, practicality and data are easy to get.Lake natural quality index relates generally to indexs such as lake natural form, water quality and eutrophication, aquatic ecological, the situation of change of natural qualities such as reflection lake natural form, water body quality, ecosystem balance; The social property index relates generally to social service function's level that human's demand is satisfied in flood control, water supply, ecology, development and use etc.
With Taihu Lake is example, and the System of Comprehensive Evaluation of following the eutrophication Taihu Lake that the principle of index screening obtains is as shown in table 1.
Table 1: the System of Comprehensive Evaluation in Taihu Lake
(2) System of Comprehensive Evaluation of setting up according to step 1 is set up an evaluation model that comprises data typing and processing, single factor evaluation, three computing modules of comprehensive evaluation based on multifactor Synthesis principle and fuzzy relation composition principle; This model can provide a certain single factor health assessment in lake, two kinds of Function of Evaluation of the healthy comprehensive evaluation in lake.Each module realizes by the different step of subordinate:
1) data typing and processing computing module
A, pass through x
*=M-x or
(x＞0) is carried out the type unification to each index and is transformed, and the index after the conversion is characterized by: the more little sign of desired value lake health characteristics is tending towards unfavorable more; The big more sign of desired value lake health characteristics is tending towards favourable more.
B, employing " extreme differenceization " disposal route:
(M, m are respectively maximum, the minimum value of observation) carried out nondimensionalization to index and handled.
C, adopt function disposal routes such as line style normalization, logarithm normalization and index normalization that index is carried out data normalization to handle, make each index value interval range after the processing between 0～100.
2) single factor evaluation computing module
This module comprises a data library unit, but comprises the opinion rating of determining based on long series materials and regulatory requirement of all typing indexs of model and the data of evaluation criterion; Module can be differentiated according to data typing and processing module signal transmitted data, and output is about the Health Category of a certain index aspect, this lake.
3) comprehensive evaluation computing module
A, according to 13 factors that influence lake, Taihu Lake health, set up decision-making comment collection S, wherein, S
I, jRepresent j classification standard of i evaluation index;
After b, the structure decision-making comment collection S, to being quantized one by one, promptly determine the degree of membership of each evaluation index, and then determine the fuzzy relationship matrix r of this layer index each grade of comment collection by the subjection degree of each evaluation index of evaluation element.Wherein, r
IjRepresent that i evaluation index is under the jurisdiction of the degree of membership of j grade;
C, according to the relative importance of each index, give different weights respectively, form allocation matrix W:
W＝{w
1，w
2，…，w
n}，
i＝1，2，......，n
D, according to the Fuzzy Compound operational formula, by passing judgment on matrix R and each index weight vector W, try to achieve the upper strata index and be the degree of membership matrix of m health level:
H＝W·R＝[H
1，H
2，…，H
m]
Wherein, H
i=[w
1, w
2..., w
n] [r
1i, r
2i..., r
Ni]
T
E, the degree of membership matrix H of m health level is carried out normalized, obtain the degree of membership matrix of assessment indicator system, thereby judge its health status m health level.
The method of the invention is a kind of based on multiobject integrated evaluating method, and it is the eutrophic lake health assessment method that contains nature, social double attribute.This method has at first proposed the assessment indicator system of the identification of healthy restraining factors in a kind of health assessment that is applicable to eutrophic lake and the lake management, set up evaluation model based on multifactor Synthesis principle and fuzzy relation composition principle then, health assessment is carried out in the lake by the data input.The present invention is based on the angle of lake management, set up a cover be applicable to eutrophic lake comprise assessment indicator system, evaluation model be the lake health assessment method of one, help realizing quick comprehensive assessment to eutrophic lake list factor or comprehensive health state.Healthy restraining factors in the management of identification lake, for the lake management provides a kind of very effective technical management instrument, realistic meaning is very outstanding.
Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of disclosed embodiment and change are possible, and the various parts of the replacement of embodiment and equivalence are known for those those of ordinary skill in the art.Those skilled in the art are noted that under the situation that does not break away from spirit of the present invention or essential characteristic, and the present invention can be with other forms, structure, layout, ratio, and realize with other elements, material and parts.
Claims (6)
1. the health assessment method of an eutrophic lake is characterized in that: may further comprise the steps:
Step 1 according to the demand of lake management, is started with from basin integral body, determines to comprise the System of Comprehensive Evaluation of lake natural quality and social property;
Step 2, the System of Comprehensive Evaluation of setting up according to step 1 is set up an evaluation model that comprises data typing and processing, single factor evaluation, three computing modules of comprehensive evaluation based on multifactor Synthesis principle and fuzzy relation composition principle;
Step 3 with basic data typing evaluation model, is carried out the lake health assessment by the result of calculation of evaluation model output.
2. the health assessment method of eutrophic lake according to claim 1 is characterized in that: described System of Comprehensive Evaluation comprises social property indexs such as the natural quality index of lake natural form, water quality and eutrophication, aquatic ecological and flood control, water supply, ecology, development and use; Described natural quality index comprises indexs such as enclosing and cultivating intensity, mouthful unimpeded rate of door, Nei Meiluo index, TLI index, blue-green algae quantity, protozoan quantity, annelid quantity; Described social property index comprises flood control standard fitness, flood control works serviceability rate, water head site water quality reaching standard rate, mouthful door water supply fraction, water front utilization rate index.
3. the health assessment method of eutrophic lake according to claim 1, it is characterized in that: described evaluation model is set up according to described System of Comprehensive Evaluation, comprises the data typing and handles computing module, single factor evaluation computing module, comprehensive evaluation computing module.
4. the health assessment method of eutrophic lake according to claim 3 is characterized in that: described data typing and the detailed implementation procedure of handling computing module are:
1) each index is carried out the type unification and transform, the index after the conversion is characterized by: the more little sign of desired value lake health characteristics is tending towards unfavorable more; The big more sign of desired value lake health characteristics is tending towards favourable more; Concrete method for transformation is x
*=M-x or
X＞0; Index before wherein x represents to transform, x
*Index after expression transforms, M represents the maximal value observed;
2) index is carried out nondimensionalization and handles, specifically adopt the extreme difference disposal route:
M, m are respectively maximal value, the minimum value of observation;
3) index is carried out data normalization and handle, make each index value interval range after the processing between 0～100, concrete disposal route is linear normalization, logarithm normalization or index normalized function disposal route.
5. the health assessment method of eutrophic lake according to claim 3, it is characterized in that: described single factor evaluation computing module comprises a data library unit, but described Database Unit comprises the opinion rating of determining based on long series materials and regulatory requirement of all typing indexs of model and the data of evaluation criterion; Module is differentiated according to data typing and processing module signal transmitted data, and output is about the Health Category of a certain index aspect, this lake.
6. the health assessment method of eutrophic lake according to claim 3, it is characterized in that: the detailed implementation procedure of described comprehensive evaluation computing module is:
1) establishes the factor that influences eutrophic lake health and have n, U={u
1, u
2..., u
nRepresent the evaluation index set that each influence factor is formed, and set up decision-making comment collection S, i.e. health assessment grade scale, S represents a n evaluation index m classification standard; Wherein, S
I, jRepresent j classification standard of i evaluation index;
2) after the structure decision-making comment collection S,, promptly determine the degree of membership of each evaluation index, and then determine the fuzzy relationship matrix r of this layer index each grade of comment collection to being quantized one by one by the subjection degree of each evaluation index of evaluation element;
Wherein, r
IjRepresent that i evaluation index is under the jurisdiction of the degree of membership of j grade, i=1,2 ..., n; J=1,2 ..., m; R
i={ r
I1, r
I2..., r
ImBe meant i the fuzzy subset who is marked on the comment collection S;
3) according to the relative importance of each index, give different weights respectively, the allocation matrix that the weight of each factor is formed is:
W＝{w
1，w
2，…，w
n}
Wherein,
I=1,2 ..., n;
4),, try to achieve the upper strata index and be the degree of membership matrix of m health level by passing judgment on matrix R and each index weight vector W according to the Fuzzy Compound operational formula:
H＝W·R＝[H
1，H
2，…，H
m]
Wherein, H
i=[w
1, w
2..., w
n] [r
1i, r
2i..., r
Mi]
T
5) the degree of membership matrix H of m health level is carried out normalized, obtain the degree of membership matrix of assessment indicator system, thereby judge its health status m health level.
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| CN102495975A (en) * | 2011-12-02 | 2012-06-13 | 北京师范大学 | Lake nutrient source control technique and performance evaluation method |
| CN102855404A (en) * | 2012-09-11 | 2013-01-02 | 北京工商大学 | Screening method of emergency management decision schemes for water blooms in lakes and reservoirs |
| CN102930384A (en) * | 2012-10-22 | 2013-02-13 | 河海大学 | Human-water harmony degree-based municipal water resource safety evaluation system and method |
| CN103217508A (en) * | 2013-03-19 | 2013-07-24 | 中山大学 | Method for evaluation of fish-farming water quality grade |
| CN103390092A (en) * | 2012-05-07 | 2013-11-13 | 上海勘测设计研究院 | Urban river ecological evaluation model and evaluation method |
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| CN102495975A (en) * | 2011-12-02 | 2012-06-13 | 北京师范大学 | Lake nutrient source control technique and performance evaluation method |
| CN103390092A (en) * | 2012-05-07 | 2013-11-13 | 上海勘测设计研究院 | Urban river ecological evaluation model and evaluation method |
| CN102855404A (en) * | 2012-09-11 | 2013-01-02 | 北京工商大学 | Screening method of emergency management decision schemes for water blooms in lakes and reservoirs |
| CN102855404B (en) * | 2012-09-11 | 2015-02-25 | 北京工商大学 | Screening method of emergency management decision schemes for water blooms in lakes and reservoirs |
| CN102930384A (en) * | 2012-10-22 | 2013-02-13 | 河海大学 | Human-water harmony degree-based municipal water resource safety evaluation system and method |
| CN103217508A (en) * | 2013-03-19 | 2013-07-24 | 中山大学 | Method for evaluation of fish-farming water quality grade |
| CN104899661A (en) * | 2015-06-15 | 2015-09-09 | 四川大学 | Watercourse health evaluating method based on classification-analytic hierarchy process theory |
| CN106355016A (en) * | 2016-08-30 | 2017-01-25 | 天津大学 | River health assessment method based on coordinated development degree |
| CN106446586A (en) * | 2016-10-21 | 2017-02-22 | 重庆大学 | River health evaluation method based on natural and social influence |
| CN107525881B (en) * | 2017-08-04 | 2018-08-10 | 中国地质大学（武汉） | A kind of ecology of water method for detecting health status |
| CN107525881A (en) * | 2017-08-04 | 2017-12-29 | 中国地质大学（武汉） | A kind of ecology of water method for detecting health status |
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| CN109272199A (en) * | 2018-08-22 | 2019-01-25 | 北京大学 | A kind of ecological navigation channel fuzzy synthetic appraisement method based on wooden pail effect |
| CN109871638A (en) * | 2019-03-06 | 2019-06-11 | 南京林业大学 | A kind of lake and marshland Evaluation of Eutrophication model building method |
| CN111863142A (en) * | 2020-07-13 | 2020-10-30 | 中国环境科学研究院 | Lake nutrition state evaluation method and application thereof |
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| CN113095719A (en) * | 2021-04-29 | 2021-07-09 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
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