CN117094183B - Canal water-based influence assessment method for estuary wetland and readable storage medium - Google Patents

Canal water-based influence assessment method for estuary wetland and readable storage medium Download PDF

Info

Publication number
CN117094183B
CN117094183B CN202311354320.2A CN202311354320A CN117094183B CN 117094183 B CN117094183 B CN 117094183B CN 202311354320 A CN202311354320 A CN 202311354320A CN 117094183 B CN117094183 B CN 117094183B
Authority
CN
China
Prior art keywords
canal
ecological
water
target
evaluation result
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311354320.2A
Other languages
Chinese (zh)
Other versions
CN117094183A (en
Inventor
韩兆兴
张利国
刘滋菁
张宁
程金香
吕金鹏
崔昊天
穆寅一
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Transport Planning And Research Institute Ministry Of Transport
Original Assignee
Transport Planning And Research Institute Ministry Of Transport
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Transport Planning And Research Institute Ministry Of Transport filed Critical Transport Planning And Research Institute Ministry Of Transport
Priority to CN202311354320.2A priority Critical patent/CN117094183B/en
Publication of CN117094183A publication Critical patent/CN117094183A/en
Application granted granted Critical
Publication of CN117094183B publication Critical patent/CN117094183B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/213Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/27Regression, e.g. linear or logistic regression
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Hardware Design (AREA)
  • Tourism & Hospitality (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geometry (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Software Systems (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a canal-to-estuary wetland water ecology influence assessment method and a readable storage medium, wherein the method comprises the following steps: first, a target area is divided into a plurality of space units, and each unit is evaluated for canal engineering development strength, construction period ecological loss, running period water ecological change, and habitat suitability. And then, calculating to obtain the canal influence result of each space unit on the estuary wetland water ecology according to each evaluation result. And finally, integrating the evaluation results of all the space units to obtain the water ecological influence evaluation result of the whole target area, and by adopting the design, the influence of the canal engineering on the water ecology of the estuary wetland can be comprehensively and accurately reflected, the evaluation accuracy is improved, and the multiple factors are considered. By integrating the evaluation results of all the space units, the water ecology influence distribution map of the whole area is displayed in an image, and scientific basis is provided for environmental protection policy making and project decision making.

Description

Canal water-based influence assessment method for estuary wetland and readable storage medium
Technical Field
The invention relates to the field of ecological environmental protection, in particular to a method for evaluating the ecological influence of a canal on estuary wetland water and a readable storage medium.
Background
The canal is an artificial channel excavated on land for developing a water transportation line.
The canal plays an important role in promoting social and economic development and cultural exchange.
Compared with the traditional channel renovation, the canal development and construction intensity is higher, the environmental influence degree is more obvious, and particularly in the estuary area which is sensitive and fragile to the ecological environment, the canal influence on the water ecology is more obvious.
However, the ecological influence of the canal on the estuary water is still in the initial research stage, and no evaluation method for the ecological influence of the canal on the estuary wetland water is seen.
Disclosure of Invention
The invention aims to provide a canal ecological influence assessment method for estuary wetland water and a readable storage medium.
In a first aspect, an embodiment of the present invention provides a method for evaluating an ecological influence of a canal on estuary wetland water, including:
performing space division on a target estuary wetland area to obtain a plurality of space units;
aiming at a target space unit, carrying out canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation and habitat suitability evaluation respectively to obtain a canal engineering development intensity evaluation result, construction period ecological loss evaluation result, operation period water ecological change evaluation result and habitat suitability evaluation result corresponding to the target space unit; the target space unit is any space unit in the plurality of space units;
Calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit;
and taking the canal ecological influence results of the space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water.
In one possible embodiment, the canal engineering development intensity includes a dredging development intensity index, a reef explosion development intensity index, a shore protection construction intensity index, a temporary engineering development intensity index, and a water diversion engineering development intensity index; carrying out canal engineering development intensity evaluation on a target space unit to obtain a canal engineering development intensity evaluation result corresponding to the target space unit, wherein the canal engineering development intensity evaluation result comprises the following steps:
constructing a judgment matrix by using an analytic hierarchy process, determining weights corresponding to the dredging development intensity index, the reef explosion development intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index of the target space unit, and performing consistency test;
And under the condition that the consistency test is passed, carrying out weighted calculation on the dredging development intensity index, the reef explosion intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index based on the weights corresponding to the dredging development intensity index, the reef explosion intensity index and the shore protection construction intensity index to obtain a canal engineering development intensity evaluation result corresponding to the target space unit.
In one possible implementation manner, the construction period ecological loss evaluation is performed on the target space unit, so as to obtain a construction period ecological loss evaluation result corresponding to the target space unit, which includes:
acquiring dredging parameters and reef explosion parameters in a construction period;
inputting the dredging parameter and reef explosion parameter into a pre-constructed numerical model to obtain the initial suspended matter space concentration distribution condition;
dividing the initial suspension space concentration distribution condition into the target space units by utilizing space interpolation to obtain target suspension concentration information corresponding to the target space units;
determining the loss rate of various marine organisms according to the target suspended matter concentration information;
and calculating to obtain the water ecological loss index in the construction period as an ecological loss evaluation result in the construction period according to the maximum value and the minimum value of the loss rate of the marine organisms.
In one possible implementation manner, for the running water ecological change evaluation of the target space unit, a running water ecological change evaluation result corresponding to the target space unit is obtained, including:
acquiring hydrological water quality and related aquatic organism data corresponding to the pretreated target space unit;
performing correlation analysis and logistic regression analysis on the hydrologic quality and related aquatic organism data to obtain a typical water ecological model influence factor with reduced dimension;
constructing a generalized additive linear model according to typical water ecological model influence factors, and determining the contribution degree and the direction of environmental factors to biomass changes of different biological groups by using a preset estimation algorithm and a preset verification algorithm, wherein the generalized additive linear model is used for representing the response relation between biomass and the environmental factors;
simulating the environment factor transformation condition in the running period according to the contribution degree and the direction of the environment factors to biomass changes of different biological groups;
predicting target biomass distribution corresponding to the target space unit according to the environmental factor transformation condition;
and determining the running period water ecological change evaluation result according to the change condition corresponding to the target biomass distribution.
In one possible implementation manner, the estimating of the habitat suitability for the target space unit to obtain the habitat suitability estimation result corresponding to the target space unit includes:
obtaining a target species and a key influence factor corresponding to a target space unit;
constructing a habitat suitability curve of target species adaptability according to the target species and the key influence factors;
simulating the condition of the suitability index transformation of the established target species of the canal in the estuary wetland habitat according to the environmental data;
and determining a habitat suitability evaluation result corresponding to the target space unit based on the habitat suitability index conversion condition of the target species in the estuary wetland.
In a possible implementation manner, the calculating, according to the canal engineering development strength evaluation result, the construction period ecological loss evaluation result, the running period water ecological change evaluation result and the habitat suitability evaluation result of the target space unit, the canal effect result on the estuary wetland water ecology corresponding to the target space unit includes:
acquiring weights corresponding to a canal engineering development strength evaluation result, a construction period ecological loss evaluation result, a running period water ecological change evaluation result and a habitat suitability evaluation result of the target space unit;
And carrying out weighted calculation on the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecological change evaluation result and the habitat suitability evaluation result of the target space unit according to the weight to obtain the canal effect result of the corresponding target space unit on the estuary wetland water ecology.
In one possible implementation manner, the estimating the canal water ecological influence result of the estuary wetland water ecological influence of the canal corresponding to each of the plurality of space units as the canal water ecological influence estimation result of the target estuary wetland comprises:
carrying out assignment classification on the canal water ecological influence results corresponding to the space units by using a geographic information model to obtain space types corresponding to the space units, wherein the space types comprise a high influence area, a medium influence area and a low influence area;
constructing a estuary wetland water ecology influence spatial distribution diagram of the target estuary wetland area according to the spatial types corresponding to the spatial units;
and taking the estuary wetland water ecological influence spatial distribution map as an estimation result of canal of the target estuary wetland water ecological influence on estuary wetland water.
In a second aspect, an embodiment of the present application provides an apparatus for evaluating an ecological influence of a canal on estuary wetland water, including:
the division module is used for carrying out space division on the target estuary wetland area to obtain a plurality of space units;
the evaluation module is used for respectively carrying out canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation and habitat suitability evaluation aiming at the target space unit to obtain canal engineering development intensity evaluation results, construction period ecological loss evaluation results, operation period water ecological change evaluation results and habitat suitability evaluation results corresponding to the target space unit; the target space unit is any space unit in the plurality of space units; calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit; and taking the canal ecological influence results of the space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water.
In a third aspect, an embodiment of the present application provides a computer device, where the computer device includes a processor and a nonvolatile memory storing computer instructions, where the computer instructions, when executed by the processor, perform a method for evaluating an influence of a canal on a water ecology of a estuary wetland according to at least one possible implementation manner of the first aspect.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where the readable storage medium includes a computer program, where the computer program controls a computer device where the readable storage medium is located to execute the method for evaluating the canal effect on the estuary wetland water ecology according to at least one possible implementation manner of the first aspect.
Compared with the prior art, the invention has the beneficial effects that: according to the canal on-estuary wetland water ecology influence assessment method and the readable storage medium, a target area is divided into a plurality of space units, and canal engineering development intensity, construction period ecological loss, running period water ecology change and habitat suitability are assessed for each unit.
And then, calculating to obtain the canal influence result of each space unit on the estuary wetland water ecology according to each evaluation result.
And finally, integrating the evaluation results of all the space units to obtain the water ecological influence evaluation result of the whole target area, and by adopting the design, the influence of the canal engineering on the water ecology of the estuary wetland can be comprehensively and accurately reflected, the evaluation accuracy is improved, and the multiple factors are considered.
By integrating the evaluation results of all the space units, the water ecology influence distribution map of the whole area is displayed in an image, and scientific basis is provided for environmental protection policy making and project decision making.
Drawings
In order to more clearly illustrate the technical solution of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described.
It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope.
Other relevant drawings may be made by those of ordinary skill in the art without undue burden from these drawings.
FIG. 1 is a schematic flow chart of a method for evaluating the ecological influence of a canal on estuary wetland water according to an embodiment of the invention;
FIG. 2 is a schematic block diagram of a canal-to-estuary wetland water ecology influence assessment device according to an embodiment of the present invention;
Fig. 3 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
It will be apparent that the described embodiments are some, but not all, embodiments of the invention.
The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention.
All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present invention, it should be understood that the directions or positional relationships indicated by the terms "upper", "lower", "inner", "outer", "left", "right", etc. are based on the directions or positional relationships shown in the drawings, or the directions or positional relationships conventionally put in place when the product of the application is used, or the directions or positional relationships conventionally understood by those skilled in the art are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the apparatus or elements to be referred to must have a specific direction, be constructed and operated in a specific direction, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," and the like, are used merely to distinguish between descriptions and should not be construed as indicating or implying relative importance.
In the description of the present invention, it should also be noted that, unless explicitly specified and limited otherwise, terms such as "disposed," "connected," and the like are to be construed broadly, and for example, "connected" may be either fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements.
The specific meaning of the above terms in the present invention can be understood by those of ordinary skill in the art according to the specific circumstances.
The following describes specific embodiments of the present invention in detail with reference to the drawings.
In order to solve the technical problems in the background art, fig. 1 is a schematic flow chart of a method for evaluating the ecological influence of a canal on estuary wetland water according to an embodiment of the disclosure, and the method for evaluating the ecological influence of the canal on estuary wetland water is described in detail below.
Step S201, carrying out space division on a target estuary wetland area to obtain a plurality of space units;
step S202, carrying out canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation and habitat suitability evaluation on a target space unit respectively to obtain a canal engineering development intensity evaluation result, a construction period ecological loss evaluation result, an operation period water ecological change evaluation result and a habitat suitability evaluation result corresponding to the target space unit; the target space unit is any space unit in the plurality of space units;
step S203, calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit;
And S204, taking the canal ecological influence results of the space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water.
In the embodiment of the present application, for example, if there is a estuary wetland area of 100 square kilometers, it may be divided into 10 space units of 10 square kilometers.
As another example, in the first space unit, canal engineering development may be found to be strong, possibly resulting in a significant ecological penalty.
The ecological losses may be further exacerbated during construction.
However, after the run-time, the water ecosystem may gradually recover, but overall the habitat suitability of the unit is reduced.
In the above example, the evaluation results are comprehensively considered, so that the canal engineering of the first space unit has a great influence on the water ecosystem of the estuary wetland.
When the evaluation of all the space units is completed, the overall influence evaluation of the whole estuary wetland area can be obtained.
For example, if 7 out of 10 space units show that canal engineering can have a significant impact on the water ecosystem, it may be concluded that the water ecosystem in the estuary wet area may be severely impacted after canal engineering development.
In other implementations of embodiments of the present application, the following examples may also be provided for partitioning geospatial units.
Considering the conditions of estuary wetland area, distribution of sensitive vegetation (such as mangrove forest) on two sides, calculation efficiency and the like, the GIS space technology is utilized to divide estuary wetland space units, and the estuary wetland space units are used as reference units for statistics and evaluation.
Taking the wet land of the mao tail sea river as an example, the area of Mao Wei sea is 135 square kilometers, and the minimum grid of the space units can be set to be 20 meters by 20 meters.
In the embodiment of the application, the canal engineering development intensity includes a dredging development intensity index, a reef explosion development intensity index, a shore protection construction intensity index, a temporary engineering development intensity index and a water diversion engineering development intensity index; the foregoing step, in which the canal engineering development intensity evaluation is performed for the target space unit, and the canal engineering development intensity evaluation result corresponding to the target space unit is obtained, which may be implemented by the following steps.
(1) Constructing a judgment matrix by using an analytic hierarchy process, determining weights corresponding to the dredging development intensity index, the reef explosion development intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index of the target space unit, and performing consistency test;
(2) And under the condition that the consistency test is passed, carrying out weighted calculation on the dredging development intensity index, the reef explosion intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index based on the weights corresponding to the dredging development intensity index, the reef explosion intensity index and the shore protection construction intensity index to obtain a canal engineering development intensity evaluation result corresponding to the target space unit.
In embodiments of the present application, for example, when evaluating the first space unit, data may be collected first regarding development activities such as dredging, reef explosion, revetment construction, temporary works, and water diversion works.
An Analytic Hierarchy Process (AHP) may then be used to determine the weight of each activity's impact on the spatial element environment.
The analytic hierarchy process is a structured decision method that decomposes complex problems into more tractable parts and then constructs a decision matrix by comparing the relative importance of the parts.
The consistency test is that the ensured weight distribution is reasonable, and if the test is passed, the indicated weight setting is consistent; taking the first space unit as an example, assume that the weight of the dredging development intensity index is determined to be 0.2, the weight of the reef explosion intensity index is determined to be 0.3, the weight of the revetment construction intensity index is determined to be 0.1, the weight of the temporary engineering development intensity index is determined to be 0.15, and the weight of the water diversion engineering development intensity index is determined to be 0.25.
The intensity index for each activity is then multiplied by its corresponding weight and the results are summed to give a sum that is the canal engineering development intensity assessment of the spatial unit.
In other implementations of the embodiments of the present application, the canal engineering development intensity index may also be calculated as a canal engineering development intensity assessment result.
And constructing a canal engineering development strength evaluation index system, including a channel engineering, a water diversion engineering, a matched engineering and the like.
And according to engineering construction contents, defining the specific construction contents of each space unit.
And (3) evaluating the engineering development strength of each space unit of the estuary wetland according to the construction content and the scale, and providing an engineering development strength index.
The engineering such as dredging amount, reef explosion amount, bank protection construction length, temporary engineering occupation and the like can be divided into specific space geographic units according to engineering construction content, engineering construction positions, engineering development boundaries and construction schemes.
And calculating dredging development intensity indexes, reef explosion development intensity indexes, bank protection construction intensity indexes, temporary engineering development intensity indexes and water diversion engineering development intensity indexes of all the space units respectively.
Taking the dredging development intensity index as an example, the maximum dredging amount in each geospatial unit is selected as MAX and minimum dredging amount MIN, and then the dredging development intensity Y of the space unit x (the dredging amount is M) is: Since canal water works involve the whole estuary wetland, the influence thereof is equally distributed to each space unit.
The development intensity index of the water diversion project can be calculated according to the following table one.
Table one:
the dredging development intensity index, the reef explosion development intensity index, the bank protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index weight are determined by adopting a hierarchical analysis method.
And comparing and analyzing the importance degree of the primary index (channel engineering, water diversion engineering, matched engineering) and the secondary index (dredging engineering, reef explosion engineering, water diversion, occupied scale and the like) by utilizing a 1-9 scale method of Saath, constructing a judgment matrix and carrying out consistency inspection.
And according to the weight calculation result, carrying out weighted calculation on the dredging development intensity index, the reef explosion development intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index to obtain the engineering development intensity index of each space unit.
In the embodiment of the present application, the step of performing the construction period ecological loss evaluation on the target space unit to obtain the construction period ecological loss evaluation result corresponding to the target space unit may be implemented by the following detailed implementation manner.
(1) Acquiring dredging parameters and reef explosion parameters in a construction period;
(2) Inputting the dredging parameter and reef explosion parameter into a pre-constructed numerical model to obtain the initial suspended matter space concentration distribution condition;
(3) Dividing the initial suspension space concentration distribution condition into the target space units by utilizing space interpolation to obtain target suspension concentration information corresponding to the target space units;
(4) Determining the loss rate of various marine organisms according to the target suspended matter concentration information;
(5) And calculating to obtain the water ecological loss index in the construction period as an ecological loss evaluation result in the construction period according to the maximum value and the minimum value of the loss rate of the marine organisms.
In the embodiment of the application, parameters such as dredging depth, dredging area, dredging time and the like during construction, and parameters such as explosion intensity, explosion times, explosion area and the like of the reef can be obtained from engineering project parties.
The initial suspension spatial concentration profile may be simulated using hydrodynamic models or other suitable numerical models with dredging and reef burst parameters as inputs.
These suspensions may include sediment, debris, etc. from dredging and reef explosion activities.
Spatial interpolation is a method of predicting the value of an unknown point from the value of the known point.
By spatial interpolation, the suspension concentration distribution can be divided into each target space unit, and suspension concentration information in each unit can be obtained.
Different marine organisms are tolerant to suspended matter to varying degrees.
The survival rate or loss rate of various marine organisms under the specific suspended matter concentration can be determined by consulting relevant documents or performing experimental study.
Finally, a comprehensive water ecological loss index can be calculated according to the loss rate of various marine organisms and used as an ecological loss evaluation result in the construction period.
For example, if the loss rate ranges from 10% to 80%, it is possible to set the loss index to range from 0.1 to 0.8, thereby reflecting the severity of ecological loss.
In other implementations of the embodiments of the present application, the suspended sediment diffusion simulation and the ecological loss calculation formula may also be used to estimate the ecological loss scale and to provide a construction period ecological loss index, which is used as a construction period ecological loss evaluation result.
(1) According to the canal engineering dredging and reef explosion construction scheme (including dredging and reef explosion positions, dredging and reef explosion scales, dredging and reef explosion time, dredging source intensity, reef explosion source intensity and the like), a two-dimensional hydrodynamic-water environment model of a research area is built based on numerical models such as MIKE, delft 3D and the like, the spatial concentration distribution situation of suspended matters at different dredging and reef explosion points in the dredging process and the reef explosion process is simulated, and the maximum spatial concentration distribution situation of the suspended matters in the dredging period is extracted.
(2) Because most suspended matter simulation results are based on unstructured grids, point-like data such as suspended matter concentration and the like calculated by a model are planed by adopting an ArcGIS spatial interpolation function, are converted into grid data based on the spatial grids, and then maximum suspended matter concentration information is extracted into divided geographic space units by utilizing a spatial extraction function.
(3) According to the relation curve between the plankton loss rate and the suspended sediment concentration increment and the relation curve between the marine organism loss amount and the suspended matter lethal concentration, the loss amount of plankton, phytoplankton and marine organism on each geographic space unit is calculated and obtained by combining the space distribution condition of the maximum concentration of the suspended matter.
PhytoplanktonThe loss of the substances, zooplankton and marine organisms can be calculated according to the following formula, the loss rate of suspended sediment to marine organisms can be correspondingly adjusted according to the actual pollutant types and toxicity test data, and the loss rate can also be calculated by referring to the following table II:wherein:
W i -the average loss of the i-th type of biological resource at one time in units of (tail), individual (individual), kilogram (kg);
D ij -the density of the ith biological resource in the suspended sediment concentration increment zone, wherein the units are tail square meters (tail/m & lt/m & gt), individual square meters (individual/m & lt/m & gt) and kilogram square meters (kg/m & lt/m & gt);
S j -the area of the suspended sediment concentration increment area is expressed as square meters (m);
K ij -the loss rate of the ith biological resource in the suspended sediment concentration increment area, wherein the unit is percent;
n is the total number of the suspended sediment concentration increment partitions.
The loss rate of suspended sediment to various organisms can be referred to as the table II
And (II) table:
wherein, the second list lists the superscalar multiples (Bi) of the pollutant i, which can be the multiples of the superscalar fishery water quality standard or the superscalar class II seawater quality standard.
The loss rate refers to the comprehensive coefficient considering the influence factors of pollutants on biological reproduction, growth or death, biological quality reduction and the like.
(4) The biological loss amount per dredging scale on each geospatial unit is calculated, the maximum biological loss amount of the space grid is taken as a threshold value, and the evaluation calculation formula is as follows, and the biological loss index is taken as the water ecological loss index in the construction period.
Maximum biomass loss in individual geospatial units as BL MAX And minimum amount of biological lossBL MIN Then the biological loss index B of the spatial unit x (biological loss BL) is:
in the embodiment of the present invention, the step of obtaining the running-period water ecological change evaluation result corresponding to the target space unit according to the running-period water ecological change evaluation of the target space unit may be implemented in the following manner.
(1) Acquiring hydrological water quality and related aquatic organism data corresponding to the pretreated target space unit;
(2) Performing correlation analysis and logistic regression analysis on the hydrologic quality and related aquatic organism data to obtain a typical water ecological model influence factor with reduced dimension;
(3) Constructing a generalized additive linear model according to typical water ecological model influence factors, and determining the contribution degree and the direction of environmental factors to biomass changes of different biological groups by using a preset estimation algorithm and a preset verification algorithm, wherein the generalized additive linear model is used for representing the response relation between biomass and the environmental factors;
(4) Simulating the environment factor transformation condition in the running period according to the contribution degree and the direction of the environment factors to biomass changes of different biological groups;
(5) Predicting target biomass distribution corresponding to the target space unit according to the environmental factor transformation condition;
(6) And determining the running period water ecological change evaluation result according to the change condition corresponding to the target biomass distribution.
In the embodiment of the application, for example, the rainfall, the flow, the temperature, the pH value, the dissolved oxygen and other hydrological water quality parameters in the space unit and the quantity and the type information of fish, crustaceans, plankton and other aquatic organisms can be collected; the relation between the hydrologic quality parameters and the aquatic biological data can be found out through a statistical method, and the environmental factors with the greatest influence on the aquatic ecology are screened out.
For example, it may be found that the number of certain fish species increases significantly over a particular temperature range; a generalized additive linear model (GAM) can be used to describe how environmental factors affect the biomass of different biological populations.
For example, it may be found that when the temperature increases, the number of certain fish increases, while the number of certain crustaceans decreases; depending on the GAM model predictions, the biomass of different biological populations may change during operation with changes in environmental factors (e.g., temperature, dissolved oxygen, etc.); for example, if future temperatures are expected to rise, it is predicted that in the space unit, the number of fish accommodating high temperatures will increase, while the number of crustaceans sensitive to high temperatures may decrease; finally, from the predicted biomass distribution changes, changes that may occur to the spatially unit water ecosystem during operation, such as reduced biodiversity, significant increases or decreases in the number of certain species, etc., may be derived.
In other embodiments of the application, the response relation between hydrology, temperature, nutrient salt and zooplankton, zooplankton and benthos biomass can be constructed by using a generalized additive model, the change conditions of hydrology, temperature and the like after engineering construction are simulated, biomass distribution after engineering implementation is predicted, the aquatic ecology change index is calculated, and the calculated aquatic ecology change index is used as an evaluation result of the running water ecology change.
Collecting and preprocessing geospatial unit hydrologic quality and related aquatic life data: according to the characteristics of the research area, a representative geographic space unit is selected for data monitoring and collection, and different water area types and environmental gradients are covered.
When the marine ecological monitoring station is set, the typical marine ecological type of each nutrition level is covered.
Environmental features causing ecological distribution differences are identified according to living environments and spaces of typical ecological niches.
Spatial and temporal data of environmental factors such as hydrology, temperature, nutrient salts and the like are collected, including flow (Q), water level (H), water temperature (T), nitrogen (N), phosphorus (P) concentration and the like.
Biomass data of phytoplankton, zooplankton and benthos were obtained, and the number (Ni) or Biomass (Biomass) of each Biomass population was obtained using standard sampling methods.
By calculating the number (Ni) or Biomass (Biomass) of each biological population, a distribution diagram and a trend diagram are drawn, and the space-time distribution pattern of different biological populations is revealed.
And carrying out data analysis and constructing an aquatic ecology simulation model.
Assimilating the collected marine ecology distribution data of the geospatial units, integrating the data into a unified data set, cleaning abnormal values and interpolating missing values.
And detecting abnormal values of the integrated data, and judging by using the following formula:wherein Z is a standardized value, X is an observed value, mu is an average value, and sigma is a standard deviation.
Outliers exceeding the threshold are removed or corrected. The missing values in the data set are interpolated, and the missing data are filled in by using methods such as linear interpolation, kriging and the like.
The relation among the flow (Q), the water level (H), the water temperature (T), the nitrogen and phosphorus concentration (N, P) and other typical water quality indexes and the response relation of the water quality factors to the aquatic organisms at all nutrition levels are explored by using methods such as correlation analysis, logistic regression analysis and the like, the superposition influence of the environmental factors is revealed, and the coupling effect of the environmental factors to the aquatic organisms is revealed. Constructing a logistic regression model, exploring the logical relationship among flow, water level, water temperature and water quality factors, and modeling by using a formula:
log(p/(1-p))=β0+β1Q+β2H+β3T+β4N+β5P
where p represents the probability of an event occurring, β0, β1, β2,..βn is a coefficient of the model, representing the probability of influence of each water quality characteristic factor on the regression ecological factor.
And (3) reducing the dimension by using Principal Component Analysis (PCA), and selecting a main environmental factor as a model input.
In the principal component analysis process, each feature is normalized so that its mean value is 0 and variance is 1.
And calculating a covariance matrix C of the standardized data, and carrying out eigenvalue decomposition on the covariance matrix to obtain eigenvalues and corresponding eigenvectors.
Multiplying the normalized data with the projection matrix to obtain the dimension-reduced data.
The data is subjected to dimension reduction processing through logistic regression and principal component analysis, so that typical water quality factors are identified.
The data after dimension reduction is used as a typical water ecological model influence factor, and a response relation between generalized additive linear model (GAML) expression biomass and environmental factors is constructed:
Biomass i =β0+∑j=1k βj⋅Env ij +f1(Temp i )+f2(Q i )+ϵ i
wherein, the Biomass i Representing biomass of the ith organism population, including phytoplankton, zooplankton and benthos, env ij Temp for the jth environmental factor corresponding to the ith biological population i Is water temperature, Q i For traffic, f1 () and f2 () are nonlinear functions, β0 and βj are model parameters, ϵ i Is a random error.
And estimating parameters in the generalized additive model by using methods such as a least square method and the like to obtain the relation coefficient of the environmental factors and the biomass and the parameters of the nonlinear function.
And (3) explaining the physical meaning of each parameter in the model, analyzing the fitting degree and the interpretation degree of the model, and determining the influence intensity and direction of the environmental factors on the biomass.
And (5) adopting cross verification and other technologies to evaluate the goodness of fit and prediction capability of the model.
And analyzing the parameter estimation result of the model, and explaining the contribution degree and direction of each environmental factor to biomass change of different biological populations.
And simulating the change condition of environmental factors after engineering construction by using MIKE, delft 3D and other numerical models, so as to predict the biomass distribution of phytoplankton, zooplankton and benthos in the ecological system after the change of the hydrology, temperature, nutrient salt and other factors of each geographic space unit.
Calculating Biomass change of each space unit i post/Biomass i Front.
And (5) weighting the variation conditions of phytoplankton, zooplankton and benthic biomass evenly to obtain the aquatic ecology variation index.
In the embodiment of the present application, the step of performing the habitat suitability evaluation on the target space unit to obtain the habitat suitability evaluation result corresponding to the target space unit may be implemented by performing the following detailed steps.
(1) Obtaining a target species and a key influence factor corresponding to a target space unit;
(2) Constructing a habitat suitability curve of target species adaptability according to the target species and the key influence factors;
(3) Simulating the condition of the suitability index transformation of the established target species of the canal in the estuary wetland habitat according to the environmental data;
(4) And determining a habitat suitability evaluation result corresponding to the target space unit based on the habitat suitability index conversion condition of the target species in the estuary wetland.
In embodiments of the present application, for example, a representative aquatic organism (e.g., a particular fish or crustacean) may be selected as the target species and its critical environmental factors required for survival and reproduction, such as temperature, PH, dissolved oxygen content, etc., may be determined. The survival and reproductive capacity of target species under different environmental factors can be known through experimental study or reference, so as to construct a habitat suitability curve.
For example, it may be found that the target species survive and reproduce optimally when the temperature is between 20-25 ℃, the pH is between 6-8, and the dissolved oxygen content is between 5-7 mg/L.
Based on environmental factor changes (e.g., temperature increases, PH changes, etc.) that may be brought about by canal engineering, it can be predicted how these changes will affect the habitat suitability of the target species.
For example, if the temperature is expected to rise, after the temperature exceeds 25 ℃, the survival and propagation of the target species may be affected and the habitat suitability index may be lowered.
From the predicted habitat suitability index change, it is possible to derive the influence that canal engineering may have on the habitat suitability of the space cell, e.g. reduced habitat suitability, reduced number of target species, etc.
In another implementation manner of the embodiment of the application, the target species and key influencing factors of the estuary wetland can be selected, a habitat suitability curve of the target species adaptability is constructed, the habitat suitability index of the target species in the estuary wetland after construction of the canal is simulated and predicted based on the environmental data, and the habitat suitability index of the estuary wetland is used as a habitat suitability evaluation result.
(1) And combining a habitat suitability curve with a hydrodynamic-sediment-water environment model by adopting a habitat suitability index calculation method to construct a habitat suitability model. In the method, a geometric average method is adopted to calculate the multi-factor comprehensive habitat suitability index,in the formula, HSI j HSI is the habitat suitability index of a typical target species on the jth spatial unit ji The suitability index of the single factor on the jth space unit is n, and n is the number of considered hydrodynamic force and water environment factors, and specifically comprises factors which play a key role in spawning, inhabiting and migration of typical aquatic organisms, such as flow rate, water depth, sand content, substrate, temperature, dissolved oxygen and the like.
Factors such as flow velocity, water depth, sand content and the like on the jth space unit can be obtained through calculation of hydrodynamic force, sediment and water environment model simulation results and GIS spatial interpolation functions, and the suitability index HSI of single factors on the jth space unit ji Can be obtained based on factor data such as flow rate, water depth or sand content on the jth spatial unit and corresponding habitat suitability curves.
(2) And respectively calculating hydrodynamic force and water environment fields before and after the canal engineering is implemented by adopting a hydrodynamic force-sediment-water environment model, and obtaining ecological factors such as flow velocity, water depth, sand content, substrate, temperature, dissolved oxygen and the like before and after the engineering is implemented.
(3) Calculating and obtaining the habitat suitability index HSI on each space unit before engineering implementation by adopting the method in (1) and the ecological factor data before engineering implementation j Front.
(4) Calculating to obtain the habitat suitability index HSI on each space unit after engineering implementation by adopting the method in (2) and the ecological factor data after engineering implementation j And then, the method is carried out.
(5) Calculating the change condition of the suitability index of the typical specie habitat before and after engineering implementation, and fating HSI j = HSI j post/HSI j Front.
In this embodiment of the present application, the foregoing step of calculating the canal effect result of the target space unit on the estuary wetland water ecology according to the canal engineering development strength evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result, and the habitat suitability evaluation result of the target space unit may be implemented by performing the following steps:
(1) Acquiring weights corresponding to a canal engineering development strength evaluation result, a construction period ecological loss evaluation result, a running period water ecological change evaluation result and a habitat suitability evaluation result of the target space unit;
(2) And carrying out weighted calculation on the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecological change evaluation result and the habitat suitability evaluation result of the target space unit according to the weight to obtain the canal effect result of the corresponding target space unit on the estuary wetland water ecology.
In the embodiment of the present application, for example, the weight of each evaluation result may be determined according to the actual situation or expert opinion.
The canal engineering development intensity may be considered to have the greatest effect on the water ecosystem, and higher weight is given; while the habitat suitability assessment results may be relatively less influential and therefore be given a lower weight.
After each evaluation result and the corresponding weight are obtained, multiplying each evaluation result by the weight, and adding all the results together to obtain the sum, namely the canal effect result of the space unit on the ecology of the estuary wetland water.
For example, if the canal engineering development strength evaluation result is 0.7 (weight 0.4), the construction period ecological loss evaluation result is 0.6 (weight 0.3), the running water ecological change evaluation result is 0.5 (weight 0.2), and the habitat suitability evaluation result is 0.8 (weight 0.1), the overall evaluation result is 0.7×0.4+0.6×0.3+0.5×0.2+0.8×0.1=0.64.
In other implementations of the embodiments of the present application, the calculation of the canal ecological influence index of the canal on the estuary wetland water may also be performed, and the canal ecological influence index of the canal on the estuary wetland water is used as the canal ecological influence result of the canal corresponding to the standard space unit on the estuary wetland water.
For example, the engineering development intensity index, the ecological loss index, the aquatic ecological change index and the target species habitat suitability index can be subjected to weighted analysis to obtain the effect result of the canal on the water ecology of the estuary wetland.
Canal on estuary wetland aquatic ecology impact index = (ecological loss index + aquatic ecology change index + target species habitat suitability index)/engineering development intensity index.
In the embodiment of the present application, the foregoing step of using the canal ecological influence result of each of the plurality of spatial units on the estuary wetland water as the canal ecological influence evaluation result of the target estuary wetland water in the target estuary wetland may be performed in the following manner.
(1) Carrying out assignment classification on the canal water ecological influence results corresponding to the space units by using a geographic information model to obtain space types corresponding to the space units, wherein the space types comprise a high influence area, a medium influence area and a low influence area;
(2) Constructing a estuary wetland water ecology influence spatial distribution diagram of the target estuary wetland area according to the spatial types corresponding to the spatial units;
(3) And taking the estuary wetland water ecological influence spatial distribution map as an estimation result of canal of the target estuary wetland water ecological influence on estuary wetland water.
In the embodiment of the present application, for example, a threshold may be set, such as a high influence region with an evaluation result greater than 0.7, a medium influence region between 0.4 and 0.7, and a low influence region less than 0.4
Then, based on the evaluation result of each space unit, they are classified into different space types using a Geographic Information System (GIS) tool.
In the GIS tool, different colors or symbols may be given according to the space type of each space unit, so that the water ecology influence level of each space unit is clearly displayed on the map.
For example, the high impact region may be marked red, the medium impact region yellow, and the low impact region green.
And finally, taking the generated water ecological influence spatial distribution map as an evaluation result of canal influence of the whole estuary wetland on the water ecological influence of the estuary wetland.
This visual approach makes the assessment result easier to understand, helping scientific decisions and efficient planning.
In other implementations of the embodiments of the present application, GIS software may be used to assign and classify the water ecological impact index of each space unit, and may be divided into a high impact area, a medium impact area, and a low impact area, to form a spatial distribution diagram of the canal on the water ecological impact of the estuary wetland, and to use the spatial distribution diagram of the canal on the water ecological impact of the estuary wetland as an estimation result of the canal on the water ecological impact of the estuary wetland in the target estuary wetland.
Referring to fig. 2 in combination, fig. 2 is a schematic block diagram of a canal-to-estuary wetland water ecology influence evaluation device according to an embodiment of the disclosure, where the canal-to-estuary wetland water ecology influence evaluation device 110 includes:
the division module 1101 is configured to spatially divide the target estuary wetland area to obtain a plurality of spatial units;
the evaluation module 1102 is configured to perform, for a target space unit, canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation, and habitat suitability evaluation, to obtain a canal engineering development intensity evaluation result, a construction period ecological loss evaluation result, an operation period water ecological change evaluation result, and a habitat suitability evaluation result corresponding to the target space unit; the target space unit is any space unit in the plurality of space units; calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit; and taking the canal ecological influence results of the space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water.
It should be noted that, the implementation principle of the canal-to-estuary wetland water ecology influence assessment device 110 may refer to the implementation principle of the canal-to-estuary wetland water ecology influence assessment method, and will not be described herein.
It should be understood that the division of the modules of the above apparatus is merely a division of a logic function, and may be fully or partially integrated into a physical entity or may be physically separated when actually implemented.
And these modules may all be implemented in software in the form of calls by the processing element; or can be realized in hardware; the method can also be realized in a form of calling software by a processing element, and the method can be realized in a form of hardware by a part of modules.
The embodiment of the invention provides a computer device 100, wherein the computer device 100 comprises a processor and a nonvolatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device 100 executes the canal effect evaluation device 110 for the estuary wetland water ecology.
As shown in fig. 3, fig. 3 is a block diagram of a computer device 100 according to an embodiment of the present invention.
The computer device 100 includes a canal-to-estuary wetland water ecology influence assessment apparatus 110, a memory 111, a processor 112, and a communication unit 113.
The embodiment of the invention provides a readable storage medium, which comprises a computer program, wherein when the computer program runs, computer equipment in which the readable storage medium is controlled to execute the method for evaluating the ecological influence of the canal on the estuary wetland water.
The foregoing description, for purpose of explanation, has been presented with reference to particular embodiments.
However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed.
Many modifications and variations are possible in light of the above teaching.
The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical application, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.
The foregoing description, for purpose of explanation, has been presented with reference to particular embodiments.
However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed.
Many modifications and variations are possible in light of the above teaching.
The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical application, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.

Claims (9)

1. The canal ecological influence assessment method for the estuary wetland water is characterized by comprising the following steps:
performing space division on a target estuary wetland area to obtain a plurality of space units;
aiming at a target space unit, carrying out canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation and habitat suitability evaluation respectively to obtain a canal engineering development intensity evaluation result, construction period ecological loss evaluation result, operation period water ecological change evaluation result and habitat suitability evaluation result corresponding to the target space unit; the target space unit is any space unit in the plurality of space units;
calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit;
taking the canal ecological influence results of the corresponding space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water;
Performing construction period ecological loss evaluation on a target space unit to obtain construction period ecological loss evaluation results corresponding to the target space unit, wherein the construction period ecological loss evaluation results comprise:
acquiring dredging parameters and reef explosion parameters in a construction period;
inputting the dredging parameter and reef explosion parameter into a pre-constructed numerical model to obtain the initial suspended matter space concentration distribution condition;
dividing the initial suspension space concentration distribution condition into the target space units by utilizing space interpolation to obtain target suspension concentration information corresponding to the target space units;
determining the loss rate of various marine organisms according to the target suspended matter concentration information;
according to the maximum value and the minimum value of the loss rate of the marine organisms, calculating to obtain an ecological loss index of the water in the construction period as an ecological loss evaluation result in the construction period;
the loss rate of the marine organisms is calculated and determined by the following modes:
wherein W is i Disposable flat for i-th type biological resourceLoss of all, D ij The density, S of the ith biological resource in the suspended sediment concentration increment zone j For increasing area and K of suspended sediment concentration ij The i-th type biological resource loss rate is the suspended sediment concentration increment zone, and n is the total number of the suspended sediment concentration increment zones.
2. The method of claim 1, wherein the canal project development intensity comprises a dredging development intensity index, a reef development intensity index, a revetment construction intensity index, a temporary project development intensity index, and a water diversion project development intensity index; carrying out canal engineering development intensity evaluation on a target space unit to obtain a canal engineering development intensity evaluation result corresponding to the target space unit, wherein the canal engineering development intensity evaluation result comprises the following steps:
constructing a judgment matrix by using an analytic hierarchy process, determining weights corresponding to the dredging development intensity index, the reef explosion development intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index of the target space unit, and performing consistency test;
and under the condition that the consistency test is passed, carrying out weighted calculation on the dredging development intensity index, the reef explosion intensity index, the shore protection construction intensity index, the temporary engineering development intensity index and the water diversion engineering development intensity index based on the weights corresponding to the dredging development intensity index, the reef explosion intensity index and the shore protection construction intensity index to obtain a canal engineering development intensity evaluation result corresponding to the target space unit.
3. The method of claim 1, wherein the obtaining the running water ecological change evaluation result corresponding to the target space unit for the running water ecological change evaluation of the target space unit comprises:
acquiring hydrological water quality and related aquatic organism data corresponding to the pretreated target space unit;
performing correlation analysis and logistic regression analysis on the hydrologic quality and related aquatic organism data to obtain a typical water ecological model influence factor with reduced dimension;
constructing a generalized additive linear model according to typical water ecological model influence factors, and determining the contribution degree and the direction of environmental factors to biomass changes of different biological groups by using a preset estimation algorithm and a preset verification algorithm, wherein the generalized additive linear model is used for representing the response relation between biomass and the environmental factors;
simulating the environment factor transformation condition in the running period according to the contribution degree and the direction of the environment factors to biomass changes of different biological groups;
predicting target biomass distribution corresponding to the target space unit according to the environmental factor transformation condition;
and determining the running period water ecological change evaluation result according to the change condition corresponding to the target biomass distribution.
4. The method of claim 1, wherein the performing the habitat suitability assessment for the target space unit to obtain the habitat suitability assessment result corresponding to the target space unit comprises:
obtaining a target species and a key influence factor corresponding to a target space unit;
constructing a habitat suitability curve of target species adaptability according to the target species and the key influence factors;
simulating the condition of the suitability index transformation of the established target species of the canal in the estuary wetland habitat according to the environmental data;
and determining a habitat suitability evaluation result corresponding to the target space unit based on the habitat suitability index conversion condition of the target species in the estuary wetland.
5. The method according to claim 1, wherein the calculating the canal effect on estuary wetland water ecology effect corresponding to the target space unit according to the canal engineering development strength evaluation result, construction period ecological loss evaluation result, operation period water ecology change evaluation result and habitat suitability evaluation result of the target space unit comprises:
acquiring weights corresponding to a canal engineering development strength evaluation result, a construction period ecological loss evaluation result, a running period water ecological change evaluation result and a habitat suitability evaluation result of the target space unit;
And carrying out weighted calculation on the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecological change evaluation result and the habitat suitability evaluation result of the target space unit according to the weight to obtain the canal effect result of the corresponding target space unit on the estuary wetland water ecology.
6. The method of claim 1, wherein the taking the canal water ecological impact results of the canal corresponding to each of the plurality of spatial units as the canal water ecological impact assessment results of the target estuary wet area comprises:
carrying out assignment classification on the canal water ecological influence results corresponding to the space units by using a geographic information model to obtain space types corresponding to the space units, wherein the space types comprise a high influence area, a medium influence area and a low influence area;
constructing a estuary wetland water ecology influence spatial distribution diagram of the target estuary wetland area according to the spatial types corresponding to the spatial units;
and taking the estuary wetland water ecological influence spatial distribution map as an estimation result of canal of the target estuary wetland water ecological influence on estuary wetland water.
7. Canal ecological influence evaluation device to estuary wetland water, characterized by comprising:
the division module is used for carrying out space division on the target estuary wetland area to obtain a plurality of space units;
the evaluation module is used for respectively carrying out canal engineering development intensity evaluation, construction period ecological loss evaluation, operation period water ecological change evaluation and habitat suitability evaluation aiming at the target space unit to obtain canal engineering development intensity evaluation results, construction period ecological loss evaluation results, operation period water ecological change evaluation results and habitat suitability evaluation results corresponding to the target space unit; the target space unit is any space unit in the plurality of space units; calculating to obtain the canal effect on the estuary wetland water ecology corresponding to the target space unit according to the canal engineering development intensity evaluation result, the construction period ecological loss evaluation result, the running period water ecology change evaluation result and the habitat suitability evaluation result of the target space unit; taking the canal ecological influence results of the corresponding space units on the estuary wetland water as the canal ecological influence evaluation results of the target estuary wetland water;
The evaluation module is specifically used for:
acquiring dredging parameters and reef explosion parameters in a construction period; inputting the dredging parameter and reef explosion parameter into a pre-constructed numerical model to obtain the initial suspended matter space concentration distribution condition; dividing the initial suspension space concentration distribution condition into the target space units by utilizing space interpolation to obtain target suspension concentration information corresponding to the target space units; determining the loss rate of various marine organisms according to the target suspended matter concentration information; according to the maximum value and the minimum value of the loss rate of the marine organisms, calculating to obtain an ecological loss index of the water in the construction period as an ecological loss evaluation result in the construction period; the loss rate of the marine organisms is calculated and determined by the following modes:the method comprises the steps of carrying out a first treatment on the surface of the Wherein W is i One-time average loss of type i biological resource, D ij The density, S of the ith biological resource in the suspended sediment concentration increment zone j For increasing area and K of suspended sediment concentration ij The i-th type biological resource loss rate is the suspended sediment concentration increment zone, and n is the total number of the suspended sediment concentration increment zones.
8. A computer device comprising a processor and a non-volatile memory storing computer instructions which, when executed by the processor, perform the canal assessment method of any one of claims 1-6 for estuary wetland water ecology impact.
9. A readable storage medium, characterized in that the readable storage medium comprises a computer program, and the computer program controls a computer device where the readable storage medium is located to execute the method for evaluating the canal effect on the estuary wetland water ecology according to any one of claims 1 to 6 when running.
CN202311354320.2A 2023-10-19 2023-10-19 Canal water-based influence assessment method for estuary wetland and readable storage medium Active CN117094183B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311354320.2A CN117094183B (en) 2023-10-19 2023-10-19 Canal water-based influence assessment method for estuary wetland and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311354320.2A CN117094183B (en) 2023-10-19 2023-10-19 Canal water-based influence assessment method for estuary wetland and readable storage medium

Publications (2)

Publication Number Publication Date
CN117094183A CN117094183A (en) 2023-11-21
CN117094183B true CN117094183B (en) 2024-01-26

Family

ID=88775593

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311354320.2A Active CN117094183B (en) 2023-10-19 2023-10-19 Canal water-based influence assessment method for estuary wetland and readable storage medium

Country Status (1)

Country Link
CN (1) CN117094183B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109886607A (en) * 2019-03-28 2019-06-14 交通运输部水运科学研究所 A kind of waterway engineering eco-environmental impact multi-layer comprehensive index system framework
CN109914334A (en) * 2019-03-28 2019-06-21 交通运输部水运科学研究所 A kind of classification mechanism based method analysis of fine generalization waterway engineering eco-environmental impact
CN114022008A (en) * 2021-11-11 2022-02-08 东莞理工学院 Estuary suitable ecological flow assessment method based on water ecological zoning theory

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109886608A (en) * 2019-03-28 2019-06-14 交通运输部水运科学研究所 A kind of waterway engineering eco-environmental impact and Evaluation of Countermeasures based on Analysis on Mechanism

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109886607A (en) * 2019-03-28 2019-06-14 交通运输部水运科学研究所 A kind of waterway engineering eco-environmental impact multi-layer comprehensive index system framework
CN109914334A (en) * 2019-03-28 2019-06-21 交通运输部水运科学研究所 A kind of classification mechanism based method analysis of fine generalization waterway engineering eco-environmental impact
CN114022008A (en) * 2021-11-11 2022-02-08 东莞理工学院 Estuary suitable ecological flow assessment method based on water ecological zoning theory

Also Published As

Publication number Publication date
CN117094183A (en) 2023-11-21

Similar Documents

Publication Publication Date Title
Baker et al. Habitat mapping and marine management
Sadykova et al. Bayesian joint models with INLA exploring marine mobile predator–prey and competitor species habitat overlap
Huff et al. Green sturgeon physical habitat use in the coastal Pacific Ocean
Sadykova et al. Ecological costs of climate change on marine predator–prey population distributions by 2050
Abesamis et al. Predicting reef fish connectivity from biogeographic patterns and larval dispersal modelling to inform the development of marine reserve networks
Martino et al. Integration of presence‐only data from several sources: a case study on dolphins' spatial distribution
Kirkman et al. Foraging behavior of subantarctic fur seals supports efficiency of a marine reserve’s design
Key et al. Riverscape-scale modeling of fundamentally suitable habitat for mussel assemblages in an Ozark River System, Missouri
Pandolfo et al. Species traits and catchment‐scale habitat factors influence the occurrence of freshwater mussel populations and assemblages
KR101635623B1 (en) Prediction system of changes in marine benthic communities
McDonald et al. Explicit incorporation of spatial variability in a biomass dynamics assessment model
CN117094183B (en) Canal water-based influence assessment method for estuary wetland and readable storage medium
Curtice et al. Marine-life Data and Analysis Team (MDAT) technical report on the methods and development of marine-life data to support regional ocean planning and management
Hale et al. Status, trends, and equilibrium abundance estimates of the translocated sea otter population in Washington State
Borsetti et al. Potential repercussions of Offshore wind energy development in the Northeast United States for the Atlantic Surfclam Survey and Population Assessment
Quinn et al. Impact of the use of different temperature‐dependent larval development functions on estimates of potential large‐scale connectivity of American lobster
Aleynik et al. Optimizing the connectivity of salmon farms: Role of exposure to wind, tides, and isolation
Behan et al. Scale-dependent assumptions influence habitat suitability estimates for the American lobster (Homarus americanus): Implications for a changing Gulf of Maine
Zhang et al. Evaluation of water quality for mangrove ecosystem using artificial neural networks
Williamson et al. Gap analysis of acoustic tracking data reveals spatial and temporal segregation in sympatric reef sharks
Parab et al. Impact of abiotic factors and heavy metals in predicting the population decline of Near Threatened fish Notopterus chitala in natural habitat
Cecino et al. Testing the influence of seascape connectivity on marine-based species distribution models
McDonald et al. Integrating habitat features into spatio-temporal biomass dynamics models for a better understanding of stock productivity: a case study of sea scallop in the Bay of Fundy
Crane et al. Muskellunge egg incubation habitat in the upper Niagara River
Rubec et al. Development of modelling and mapping methods to predict spatial distributions and abundance of estuarine and coastal fish species life‐stages in Florida

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant