CN112465332A - Method for evaluating stability of ecological geological environment of urban artificial wetland park - Google Patents

Method for evaluating stability of ecological geological environment of urban artificial wetland park Download PDF

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CN112465332A
CN112465332A CN202011325742.3A CN202011325742A CN112465332A CN 112465332 A CN112465332 A CN 112465332A CN 202011325742 A CN202011325742 A CN 202011325742A CN 112465332 A CN112465332 A CN 112465332A
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刘森
杨霄
贾超
邵帅
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Shandong University
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Abstract

The invention relates to the field of wetland park ecological protection, in particular to an evaluation method of ecological geological environment stability of an artificial wetland park. An evaluation method for ecological geological environment stability of an urban artificial wetland park comprises the following steps: collecting and investigating and analyzing basic characteristic parameters of ecological, geological and water-soil environment quality of the urban artificial wetland park to obtain original data of the ecological geological environment of the wetland park; processing the basic characteristic parameters to generate factor layers, and establishing a comprehensive evaluation index system; calculating the comprehensive weight of each evaluation index; constructing an evaluation model based on a GIS platform; and evaluating the stability of the ecological geological environment of the research area by using the evaluation model. The method is different from the traditional evaluation method by aiming at wetland park evaluation and planning designers, analyzes different characteristics of the ecological environment based on space-time big data under the support of RS, GIS, GPS and artificial intelligence algorithm, evaluates the stability of the ecological geological environment of the wetland park and provides scientific guidance for the planning of the wetland park.

Description

Method for evaluating stability of ecological geological environment of urban artificial wetland park
Technical Field
The invention relates to the field of wetland park ecological protection, in particular to a method for evaluating the stability of an ecological geological environment of an urban artificial wetland park.
Background
The wetland system is a composite ecological system formed by the interaction of water and land, and has important ecological functions, such as water purification, carbon sequestration, flood discharge, local microclimate adjustment, soil loss prevention, water resource storage and the like. However, with the continuous development and utilization of natural resources (land, mineral and space resources) and economic construction, the wetland system is largely damaged, and statistically, about 50% of the natural wetland in the world has been degraded since 1990. Therefore, ecological environmental problems such as water and soil loss, pollution and the like are caused, and the problems become important factors for restricting the healthy development of cities gradually, and the living environment of human beings is seriously threatened. Therefore, the wetland ecological geological environment problem is solved, and great propulsion effect is provided for human safety, urban development and planning.
In order to reasonably solve the problems related to the wetland, expand the proportion of wetland resources and coordinate the development of economy, the Chinese government makes many efforts on the aspect of wetland protection. In a global scope, numerous scholars research the wetland, and related researches are qualitatively described by a single wetland characteristic and developed to the current quantitative evaluations such as wetland value evaluation, wetland ecosystem health evaluation, wetland environmental impact evaluation and wetland ecological risk evaluation, but analysis, evaluation and planning of wetland ecological environment quality are very difficult and related researches are few due to the effectiveness, diversity and uncertainty of wetland data acquisition. In addition, most of research objects are still concentrated on natural wetlands, and the research on special type wetlands such as wetland parks is less. In addition, the stability of the wetland system is rarely researched from the multi-element angles of comprehensive ecology, geology and environment.
With the rise of 3S technology (RS, GIS and GPS), numerical simulation and artificial intelligence algorithm, the related difficulties are solved, and the methods are widely applied to wetland evaluation.
Disclosure of Invention
The invention aims to solve the problems in the prior art, provides a method for evaluating the stability of the ecological geological environment of an urban artificial wetland park, provides a reference basis for the sustainable development of wetland resources in urban areas and the evaluation and protection of the ecological geological environment, and provides a referential standard and a reliable geological scientific basis for the planning and site selection of similar wetlands.
In order to achieve the purpose, the invention adopts the technical scheme that: an evaluation method for ecological geological environment stability of an urban artificial wetland park comprises the following steps:
1) collecting and investigating and analyzing basic characteristic parameters of ecological, geological and water-soil environment quality of the urban artificial wetland park to obtain original data of the ecological geological environment of the wetland park;
2) processing the basic characteristic parameters to generate factor layers, and establishing a comprehensive evaluation index system;
3) calculating the comprehensive weight of each evaluation index;
4) constructing an evaluation model based on a GIS platform;
5) and evaluating the stability of the ecological geological environment of the research area by using the evaluation model.
As a preferable mode of the present invention, the basic characteristic parameters in step 1) include geological structure, topographic factors, geochemistry, meteorological conditions, land use type, vegetation coverage degree.
As a preferred mode of the present invention, the method for establishing the eco-geological environment evaluation index system in step 2) includes: a) selecting an influence factor influencing the stability of the ecological geological environment from the basic characteristic parameters; b) grading the influence factors by combining an expert experience method, a natural break point method and a normalization method and giving a value in a range of 0-1; c) and (4) carrying out data analysis through an SPSS platform, and finally determining main influence factors influencing the stability of the ecological geological environment as evaluation indexes.
Further preferably, the evaluation index includes: the method comprises the following steps of normalizing vegetation indexes, water wetland, ecological land utilization type, surface elevation, terrain gradient, underground water burial depth, soil quality, surface water quality and underground water quality.
As a preferable aspect of the present invention, the method of calculating the comprehensive weight of each evaluation index in step 3) includes:
A. firstly, soliciting opinions of 9 experts in the related field by adopting a Delphi expert survey method;
B. secondly, each expert evaluates the relative importance of each evaluation index to the ecological environment according to a 1-9 proportion method, and the judgment of the relative importance degree of the kth expert to the ith and the jth evaluation indexes under the evaluation method is Bij·kSetting a judgment matrix B (k) ═ Bij·k];
C. Then, a fuzzy group judgment matrix is established by utilizing the triangular fuzzy number, and the matrix is expressed as follows:
Bij=[αij,βij,γij];
D. determination of evaluation index FiFuzzy weight vector of (1):
Figure BDA0002794219560000021
wherein,
Figure BDA0002794219560000022
and
Figure BDA0002794219560000023
the minimum value, the middle value and the maximum value of three components of the three fuzzy weight vectors are respectively;
E. calculating the relative weight of each evaluation index by a geometric mean method, and then normalizing the relative weight to obtain the comprehensive weight, wherein the normalization formula is as follows:
Figure BDA0002794219560000031
as a preferred mode of the present invention, the method for constructing an evaluation model based on a GIS platform in step 4) includes:
and gridding each evaluation index in a GIS platform according to the determined evaluation index and the comprehensive weight, wherein the general formula is as follows:
Figure BDA0002794219560000032
wherein, WkIs the weight of the evaluation index to the comprehensive evaluation target, FkjIs the evaluation value of the k-th evaluation index of the grid i, SiIs the composite evaluation value of grid i;
according to SiThe frequency and frequency distribution histogram of (a) to obtain a grading threshold value of the stability of the ecological geological environment, and according to the threshold value, the stability of the ecological geological environment is divided into 5 grades, namely 'very low, medium, high and very high'.
As a preferred embodiment of the present invention, the step of evaluating the stability of the wetland ecological geological environment in the step 5) is as follows:
processing the original data by using ArcGIS, and normalizing the influence factors;
classifying the ecological geological environment of the research area based on a Python platform;
and (4) carrying out subarea evaluation on the stability of the wetland ecological geological environment in the constructed evaluation model by combining the ecological geological environment classification of the research area.
Further preferably, the ecological geological environment of the research area is classified by the following method: the improved k-means clustering algorithm is adopted to divide the ecological geological environment of the research area into five categories, namely cropland farmland, shrub forest land, swamp water area, grit chamber and reservoir.
Compared with the prior art, the invention has at least the following beneficial effects:
the method for evaluating the stability of the ecological geological environment of the urban artificial wetland park comprehensively considers the complex ecological-geological-environmental quality system characteristics of the urban artificial wetland park from multiple aspects of ecological, geological and water-soil environmental quality and evaluates the stability condition of the ecological environmental quality of the urban artificial wetland park. According to the method, the large data storage function of the RS and the GPS, the data processing space analysis function of the GIS platform and the artificial intelligence data analysis technology (machine learning and deep learning) of the Python system are fully utilized, under the condition that a GIS and a Python good interface is established, the fuzzy Delphi analytic hierarchy process is utilized to realize the processing (assignment, empowerment, classification and the like) of the influence factor data of the stability of the ecological geological environment of various urban artificial wetlands and the superposition analysis of the influence factors, and therefore the value of the stability of the ecological geological environment is extracted and obtained. Practical application shows that the method is different from the traditional ecological stability evaluation method, is carried out in GIS and Python environments, achieves the expected effect, and provides a new idea for evaluation and planning of the ecological geological environment.
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FIG. 1 is a technical route diagram of the invention based on evaluation of stability of ecological geological environment of urban artificial wetland park.
FIG. 2 is a model of the ecological geological environment stability evaluation hierarchy of the urban artificial wetland park;
FIG. 3 is a view showing an ecological factor layer of wetland park in the West and Ji country in an embodiment of the present invention;
FIG. 4 is a geological factor layer of wetland park in the West and Ji country in an embodiment of the present invention;
FIG. 5 is a water and soil environment quality factor layer of wetland park in the West and Ji country in an embodiment of the present invention;
FIG. 6 is an ecological geological environment classification map based on machine learning in the West-Ji national wetland park in the embodiment of the present invention;
FIG. 7 is a diagram illustrating the stability of the ecological geology environment of the wetland park in the West and Ji provinces in the embodiment of the present invention.
Detailed Description
In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Embodiment 1 this implementation provides a method for evaluating the stability of an ecological geological environment of an urban artificial wetland park in a GIS and Python environment, as shown in fig. 1, the method includes the following steps:
(1) collecting and investigating basic characteristic parameters of ecological, geological and water-soil environment quality of the urban artificial wetland park, obtaining the current situation of the ecological and geological environment of the wetland park, and formulating the planning and recovery target of the wetland park according to the current situation.
The basic characteristic parameters of the ecological, geological and water-soil environment quality of the municipal artificial wetland park comprise geological structure, terrain factors, geochemistry (soil, surface water and underground water), meteorological conditions, land utilization types, vegetation coverage degree and other data.
Soil data included the collection of surface, 1m from the surface and 2m from the surface soil samples. The surface water data comprises sampling points uniformly distributed at the inlet and the outlet of a main river of the lake wetland, the discharge inlet of industrial, agricultural and domestic wastewater, 300-500 m in the river and 50-100 m in the lake of the wetland, and the water quality of the water in the rich period, the open period and the dry period is measured. The groundwater data comprises water quality of a rich water period, a normal water period and a dry water period.
(2) A factor layer is generated by interpolation processing based on remote sensing images, digital elevations and environmental quality, a comprehensive evaluation index system is established, as shown in fig. 2, and the specific steps are as follows:
a. the selection of the evaluation index of the ecological geological environment refers to the selection of an influence factor influencing the stability of the ecological geological environment, and mainly comprises three aspects: ecological environment (M1), geological environment (M2) and water and soil environmental quality (M3).
b. And (3) grading each evaluation index (influence factor) by combining methods such as an expert experience method, a natural break point method, normalization and the like, and giving a value in a range of 0-1. And (4) carrying out data analysis through an SPSS platform, and finally determining main influence factors for stability evaluation of the research area.
With the above method, the present embodiment determines 9 main influence factors as evaluation indexes: normalized vegetation index (NDVI, F1), water wetland (F2), ecological land utilization type (F3), surface elevation (F4), terrain slope (F5), groundwater burial depth (F6), soil quality (F7), surface water quality (F8) and groundwater quality (F9).
(3) The comprehensive weight of each evaluation index is calculated by using a fuzzy Delphi analytic hierarchy process, and the method comprises the following specific steps:
because each evaluation index (influence factor) contributes to the stability of the ecological geological environment of the urban artificial wetland park in different sizes, different influence factors have different weights Wi, and the weight calculation method comprises the following steps:
A. firstly, the method of Delphi expert investigation is adopted to solicit the opinions of 9 experts and scholars in the related field, wherein 3 experts are hydrogeology experts, 3 experts are ecology experts, and 3 experts are garden planning experts.
B. Secondly, each expert evaluates the relative importance of each evaluation index to the ecological environment according to a 1-9 proportion method, and determines that the relative importance degree of the kth expert to the i-th and j-th evaluation indexes under the evaluation method (such as the 1-9 proportion method of Saaty) is Bij·kSetting a judgment matrix B (k) ═ Bij·k]。
C. Then, a fuzzy group judgment matrix is established by utilizing the triangular fuzzy number, and the judgment matrix is expressed as follows:
Bij=[αij,βij,γij];
on the basis of subjective opinions of decision experts, suggestions of other experts are integrated, and a relatively objective fuzzy group judgment matrix is established.
D. Next, the evaluation index F is determinediFuzzy weight vector of (1):
Figure BDA0002794219560000061
wherein,
Figure BDA0002794219560000062
and
Figure BDA0002794219560000063
the minimum, median and maximum of the three components of the three fuzzy weight vectors, respectively.
E. And finally, calculating the relative weight of each evaluation index by a geometric mean method, and then normalizing the relative weight to obtain the comprehensive weight of each evaluation index. The normalization formula is as follows:
Figure BDA0002794219560000064
(4) evaluation model constructed based on GIS platform
And (3) gridding the evaluation indexes in the GIS platform according to the ecological geological environment stability evaluation indexes determined in the step (2) a and the comprehensive weight of each evaluation index determined in the step (3) E, wherein the general formula is as follows:
Figure BDA0002794219560000065
wherein, WkIs the weight of the evaluation index to the comprehensive evaluation target, FkjIs the evaluation value of the k-th evaluation index of the grid i, SiIs the integrated evaluation value of the grid i.
According to the comprehensive evaluation value SiThe frequency and frequency distribution histogram obtains a classification threshold value of the stability of the ecological geological environment, and the classification threshold value is divided into 5 grades, namely five grades of 'very low, medium, high and very high'. The classification criteria are shown in table 1. A stability evaluation model was obtained therefrom.
TABLE 1 comprehensive ecological geological environmental stability grading
Figure BDA0002794219560000066
The evaluation criteria of the stability of the ecological geological environment of the urban artificial wetland in the constructed evaluation model are shown in table 2.
TABLE 2 evaluation criteria of ecological geological environmental stability of urban artificial wetland
Figure BDA0002794219560000071
Figure BDA0002794219560000081
(5) The method comprises the following steps of performing subarea evaluation on the stability of the wetland ecological geological environment, and specifically:
processing original data (namely basic characteristic parameters of ecological, geological and water and soil environment quality of the urban artificial wetland park obtained in the step (1)) by using ArcGIS, and normalizing influence factors influencing the stability of the ecological geological environment;
based on the Python platform, the ecological geological environment of the research area is divided into five categories by adopting a machine learning technology, such as an improved k-means clustering algorithm, as shown in Table 3.
TABLE 3 type of ecological geological environment
Figure BDA0002794219560000082
Figure BDA0002794219560000091
And (4) combining the ecological geological environment classification of the research area obtained in the step, performing subarea evaluation on different ecological geological environment types in the constructed evaluation model GIS platform, and obtaining the evaluation result of the ecological geological environment stability of the wetland park.
(6) And finally, verifying the obtained evaluation result by comparing the quantitative evaluation result with site confirmation and remote sensing qualitative analysis.
Embodiment 2 this example adopts the evaluation method provided by the present invention to evaluate the stability of the ecological geological environment of the wetland park in the research area, and the specific process is as follows:
(1) overview of the research area (wetland park): the research area is located in the west of the central urban area of the Jinan city, the geographic coordinate ranges are 116 degrees, 45 'E-116 degrees, 50' E, 36 degrees, 37 'N-36 degrees, 41' N, the north is a desilting basin and a dam, the west is a yellow river, and the south is to the Von village and the Lao Li villageThe middle road is a guide channel of northeast China east China Water diversion, and the area is about 33.6km2. The altitude of the wetland in the Shanxi region is between-1.92 m and 68.58m, the gradient is between 0 degree and 34 degrees, and about 89 percent of the terrain is lower. The south, the high, the north and the south of the Jixi wetland topography are flat.
(2) Method for acquiring evaluation index data
And acquiring index data by using related data such as Landsat images, DEM images, basic geology, hydrometeorological data and the like in a research area. The Landsat 8 OLI data are derived from a geospatial data cloud platform of a computer network information center of the Chinese academy of sciences, and the land utilization data are extracted by a Support Vector Machine (SVM) by using a Landsat image. The DEM image is corrected by combining field survey and image of an unmanned aerial vehicle, remote sensing data is subjected to radiometric calibration, atmospheric correction, mosaic, wave band combination, enhancement and the like by utilizing ENVI5.4 professional remote sensing image processing software, and a remote sensing image map is compiled. Meanwhile, in order to determine the quality of the water and soil environment in the wetland, surface water samples of 9 places, underground water samples of 14 places and soil samples of 16 places are collected. Three sets of samples were collected at each site for comparative analysis.
(3) Pre-processing of data
And grading and normalizing all the influence factors by using a GIS method according to the contribution degree of each influence factor to the stability and based on relevant national standard specification files and historical data statistics of the wetland park of the Jinxi countries.
(4) Selection of evaluation index
According to the requirements in the lamssar convention, the evaluation index should be selected from the following two factors: (1) the wetland environment current situation (ecological system and social system states, recent and existing pressure and existing conditions) can be described specifically, and data-deficient areas can be compensated by collecting opinions of experts and local residents through a scientific method; (2) the pressures that may exist now and in the future can be described.
Accordingly, the influence factors which play a leading role in the ecological environment are selected, and the secondary factors are eliminated. Meanwhile, in consideration of the accuracy and effectiveness of information acquisition, the stability of the wetland comprises three categories: ecological environment M1, geological environment M2 and water and soil environment quality M3.
Each major class was selected 3 total factors of 9: ecological environment M1: normalized vegetation index (NDVI) F1, water wetland F2 and ecological land utilization type F3; geological environment M2: the ground surface elevation F4, the terrain slope F5 and the groundwater burial depth F6; water and soil environment quality M3: soil mass F7, surface water mass F8, groundwater mass F9, as shown in fig. 2.
By adopting the method, the selected ecological factor layer of the wetland park of the Jixi country is shown in figure 3, the geological factor layer is shown in figure 4, and the water and soil environment quality factor layer is shown in figure 5.
And (3) grading each evaluation index (selected influence factor) by combining methods such as an expert experience method, a natural break point method, normalization and the like, and giving a value in a range of 0-1. And (4) carrying out data analysis through the SPSS platform, finally determining main influence factors influencing the stability of the ecological geological environment, and establishing a comprehensive evaluation index system of the stability of the ecological geological environment of the wetland park by taking the main influence factors as evaluation indexes.
(5) Empowerment
Because each evaluation index contributes to the stability of the ecological geological environment of the urban artificial wetland park in different sizes, the evaluation index is weighted based on fusion theories such as a fuzzy mathematical method, a Delphi expert survey method, an analytic hierarchy process and the like, and the specific method comprises the following steps:
A. the method adopts a Delphi expert survey method to solicit the opinions of 9 experts and scholars in the related field, wherein 3 experts are hydrogeology experts, 3 experts are ecology experts, and 3 experts are garden planning experts. Each expert evaluates the relative importance of each evaluation index to the ecological environment according to a 1-9 proportion method;
B. secondly, determining that the relative importance degree of the kth expert on the i-th evaluation index and the j-th evaluation index under the evaluation method criterion is Bij·kSetting a judgment matrix B (k) ═ Bij·k];
C. Then, the triangular fuzzy number is utilized to establish a relatively objective fuzzy group judgment matrix on the basis of the subjective opinions of the decision maker, thereby synthesizingThe expert's advice. The fuzzy set decision matrix is represented as follows: b isij=[αij,βij,γij]。
D. Next, an evaluation index F is determinediFuzzy weight vector of (1):
Figure BDA0002794219560000111
wherein,
Figure BDA0002794219560000112
and
Figure BDA0002794219560000113
the minimum, median and maximum of the three components of the three fuzzy weight vectors, respectively.
E. And finally, calculating the relative weight of each evaluation index by a geometric mean method, and then normalizing the relative weight to obtain the comprehensive weight of each evaluation index. The normalized integrated weight is obtained from the following equation:
Figure BDA0002794219560000114
the total weight of the obtained 9 evaluation indexes is shown in table 4.
TABLE 4 decision weights for evaluation indices
Figure BDA0002794219560000115
(6) And gridding the evaluation indexes in a GIS platform according to the ecological geological environment stability evaluation indexes determined in the steps and the comprehensive weight of each determined evaluation index, wherein the general formula of the evaluation indexes is as follows:
Figure BDA0002794219560000116
wherein, WkIs the weight of the evaluation index to the comprehensive evaluation target, FkjIs the kth score of grid iEvaluation of the value index, SiIs the integrated evaluation value of the grid i.
According to SiThe frequency and frequency distribution histogram of the frequency and frequency. A stability evaluation model was obtained therefrom. The evaluation criteria of the evaluation model are shown in table 2.
(7) Subarea evaluation on wetland ecological geological environment stability of national wetland park of Jixi
The raw data was processed using ArcGIS and after normalization of the main control factors, high dimensional data cluster analysis was programmed in Python. After Python calculation, the processed data is output in a format readable by ArcGIS. And (5) carrying out statistical analysis on the clustering result by utilizing ArcGIS. Finally, according to the clustering result, the field is investigated, and the types of the ecological geological environment are divided, as shown in table 3 and fig. 6.
(8) And in the constructed GIS platform, the ecological geological environment stability of the wetland parks in the Shanxi countries is evaluated in a subarea mode by utilizing an evaluation model and combining the ecological geological environment types of the wetland parks in the Shanxi countries obtained in the step. The evaluation results are shown in fig. 7.
(9) And verifying by comparing the quantitative evaluation result with site confirmation and remote sensing qualitative analysis, and planning the wetland park in the West and Jixi countries.
The applicability of the stability evaluation method provided by the invention is verified by investigating the actual conditions of ecological environment and geological conditions of a research area, land utilization types, underground water and surface water resource types and distribution, vegetation coverage and the like.

Claims (8)

1. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park is characterized by comprising the following steps of:
1) collecting and investigating and analyzing basic characteristic parameters of ecological, geological and water-soil environment quality of the urban artificial wetland park to obtain original data of the ecological geological environment of the wetland park;
2) processing the basic characteristic parameters to generate factor layers, and establishing a comprehensive evaluation index system;
3) calculating the comprehensive weight of each evaluation index;
4) constructing an evaluation model based on a GIS platform;
5) and evaluating the stability of the ecological geological environment of the research area by using the evaluation model.
2. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 1, wherein the basic characteristic parameters in the step 1) comprise geological structure, topographic factors, geochemistry, meteorological conditions, land utilization types and vegetation coverage.
3. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 1, wherein the method for establishing the ecological geological environment evaluation index system in the step 2) comprises the following steps:
a) selecting an influence factor influencing the stability of the ecological geological environment from the basic characteristic parameters;
b) grading the influence factors by combining an expert experience method, a natural break point method and a normalization method and giving a value in a range of 0-1;
c) and (4) carrying out data analysis through an SPSS platform, and finally determining main influence factors influencing the stability of the ecological geological environment as evaluation indexes.
4. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 3, wherein the evaluation indexes comprise: the method comprises the following steps of normalizing vegetation indexes, water wetland, ecological land utilization type, surface elevation, terrain gradient, underground water burial depth, soil quality, surface water quality and underground water quality.
5. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 4, wherein the method for calculating the comprehensive weight of each evaluation index in the step 3) comprises the following steps:
A. the method comprises the following steps of soliciting opinions of 9 experts and scholars in the related field by adopting a Delphi expert survey method, and evaluating the relative importance of each evaluation index to the ecological environment by each expert according to a 1-9 proportion method;
B. secondly, each expert evaluates the relative importance of each evaluation index to the ecological environment according to a 1-9 proportion method, and the judgment of the relative importance degree of the kth expert to the ith and the jth evaluation indexes under the evaluation method is Bij·kSetting a judgment matrix B (k) ═ Bij·k];
C. Then, by using the triangular fuzzy number, establishing a fuzzy group judgment matrix as follows:
Bij=[αij,βij,γij];
D. determination of evaluation index FiFuzzy weight vector of (1):
Figure FDA0002794219550000021
wherein,
Figure FDA0002794219550000022
and
Figure FDA0002794219550000023
the minimum value, the middle value and the maximum value of three components of the three fuzzy weight vectors are respectively;
E. calculating the relative weight of each evaluation index by a geometric mean method, and then carrying out normalization processing on the relative weight to obtain the comprehensive weight of each evaluation index, wherein the normalization formula is as follows:
Figure FDA0002794219550000024
6. the method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 5, wherein the method for constructing the evaluation model based on the GIS platform in the step 4) comprises the following steps:
and (3) gridding each evaluation index in the GIS platform according to the determined evaluation index and the comprehensive weight thereof, wherein the general formula is as follows:
Figure FDA0002794219550000025
wherein, WkIs the weight of the evaluation index to the comprehensive evaluation target, FkjIs the evaluation value of the k-th evaluation index of the grid i, SiIs the composite evaluation value of grid i;
according to SiThe frequency and frequency distribution histogram of (a) to obtain a grading threshold value of the stability of the ecological geological environment, and according to the threshold value, the stability of the ecological geological environment is divided into 5 grades, namely 'very low, medium, high and very high'.
7. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 6, wherein the step of evaluating the stability of the ecological geological environment of the wetland in the step 5) is as follows:
processing the original data by using ArcGIS, and normalizing the influence factors;
classifying the ecological geological environment of the research area based on a Python platform;
and (4) combining the ecological geological environment classification result of the research area, and performing subarea evaluation on the stability of the wetland ecological geological environment in the constructed evaluation model.
8. The method for evaluating the stability of the ecological geological environment of the urban artificial wetland park as claimed in claim 7, wherein the ecological geological environment of the research area is classified by adopting the following method: the improved k-means clustering algorithm is adopted to divide the ecological geological environment of the research area into five categories, namely cropland farmland, shrub forest land, swamp water area, grit chamber and reservoir.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113155191A (en) * 2021-04-16 2021-07-23 浙江农林大学 Urban area ecological environment monitoring method
CN113240344A (en) * 2021-06-16 2021-08-10 中国林业科学研究院资源昆虫研究所 National park function partition zoning method based on ecological protection weighting
CN113506043A (en) * 2021-08-06 2021-10-15 中国地质科学院水文地质环境地质研究所 Evaluation method for proper recovery range and grade division of riverside wetland
CN113610369A (en) * 2021-07-26 2021-11-05 广州园林建筑规划设计研究总院有限公司 Evaluation method of water ecological service efficacy and urban waterfront landscape construction method
CN113723860A (en) * 2021-09-09 2021-11-30 四川省自然资源科学研究院 Land resource asset leave audit evaluation method, device and storage medium
CN115062897A (en) * 2022-05-05 2022-09-16 中国测绘科学研究院 Urban ecological space equilibrium measurement and urban ecological pattern comprehensive evaluation method
CN115825394A (en) * 2022-12-13 2023-03-21 山东大学 Method for measuring and evaluating versatility of constructed wetland ecosystem
CN116645001A (en) * 2023-06-01 2023-08-25 中国地质科学院矿产资源研究所 Metal mine environment evaluation method and device based on multidimensional data analysis
CN117273813A (en) * 2023-11-22 2023-12-22 四川国蓝中天环境科技集团有限公司 Project intelligent site selection method considering environment control
CN117436756A (en) * 2023-11-14 2024-01-23 成都理工大学 Systematic spatialization evaluation method for panda national park construction success

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229821A (en) * 2018-01-02 2018-06-29 中国神华能源股份有限公司 Appraisal procedure, device, storage medium and the system of mining area ecological environment
CN108416686A (en) * 2018-01-30 2018-08-17 中国矿业大学 A kind of Eco-Geo-Environment Type division method based on Coal Resource Development
CN110969346A (en) * 2019-11-22 2020-04-07 江苏省环境科学研究院 Drainage basin water ecological function regional treatment demand evaluation method based on index screening

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108229821A (en) * 2018-01-02 2018-06-29 中国神华能源股份有限公司 Appraisal procedure, device, storage medium and the system of mining area ecological environment
CN108416686A (en) * 2018-01-30 2018-08-17 中国矿业大学 A kind of Eco-Geo-Environment Type division method based on Coal Resource Development
CN110969346A (en) * 2019-11-22 2020-04-07 江苏省环境科学研究院 Drainage basin water ecological function regional treatment demand evaluation method based on index screening

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
VALLNER L, GAVRILOVA O AND VILU R: "Environmental risks and problems of the optimal management of an oil shale semi-coke and ash landfill in Kohtla-J?rve, Estonia", 《SCIENCE OF THE TOTAL》 *
陈阳: "城市湿地生态地质环境演变及脆弱性研究", 《中国优秀硕士学位论文全文数据库 基础科学辑》 *

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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CN113155191A (en) * 2021-04-16 2021-07-23 浙江农林大学 Urban area ecological environment monitoring method
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CN113506043A (en) * 2021-08-06 2021-10-15 中国地质科学院水文地质环境地质研究所 Evaluation method for proper recovery range and grade division of riverside wetland
CN113723860B (en) * 2021-09-09 2023-05-12 四川省自然资源科学研究院 Method, device and storage medium for evaluating land resource asset release audit
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CN115062897A (en) * 2022-05-05 2022-09-16 中国测绘科学研究院 Urban ecological space equilibrium measurement and urban ecological pattern comprehensive evaluation method
CN115825394A (en) * 2022-12-13 2023-03-21 山东大学 Method for measuring and evaluating versatility of constructed wetland ecosystem
CN116645001A (en) * 2023-06-01 2023-08-25 中国地质科学院矿产资源研究所 Metal mine environment evaluation method and device based on multidimensional data analysis
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