CN114021973A - Method and system for evaluating stability of ecological system in coal mining subsidence area - Google Patents
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Abstract
The application discloses a method and a system for evaluating the stability of an ecological system in a coal mining subsidence area, which are used for analyzing the vegetation change driving force of the coal mining subsidence area and determining the stability influence index of the ecological system in the coal mining subsidence area; according to the stability influence indexes, a hierarchical structure model of the stability measure of the coal mining subsidence area is established by using an analytic hierarchy process, and index weight data are determined; comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data; calculating an ecosystem stability score according to the index weight data and the index scoring data; and determining the stability grade of the ecological system according to the stability value of the ecological system. When the evaluation method is used for evaluating all stability influence indexes, evaluation is carried out according to original data and current data of the coal mining subsidence area, so that the similarity degree of the damaged state of each influence index and the original state is determined, and stable evaluation can be carried out based on the original state of the ecosystem.
Description
Technical Field
The application relates to the technical field of ecosystem stability evaluation, in particular to a method and a system for evaluating the ecosystem stability of a coal mining subsidence area.
Background
The problems of ground collapse, ground cracks, water and soil pollution, destruction of landform and landscape, destruction of aquifers, destruction of land resources, destruction of infrastructure slopes, destruction of ecological environment and the like caused by coal mining are generally existed in a coal mining subsidence area, the human living environment is seriously destroyed, and the development of social economy is restricted.
Before ecological restoration is carried out on the coal mining subsidence area, the stability of an ecological system of the coal mining subsidence area needs to be evaluated, a restoration scheme is determined according to the stability of the ecological system, and the ecological restoration method is an important link of ecological restoration.
In the existing method for evaluating the stability of the ecosystem of the coal mining area, values of evaluation factors of the stability of the ecosystem of the coal mining disturbance area are absolute values, but geological mining conditions, regional climate, terrain and landform, underground water level and the like in different regions are greatly different, the influence effects of coal mining on surface vegetation are different, and the original habitat conditions of the vegetation in different regions are greatly different, so that the result of accurately measuring the stability of the ecosystem of the coal mining disturbance area cannot be obtained by evaluating the absolute values of evaluation indexes.
Disclosure of Invention
The method and the system for evaluating the stability of the ecosystem of the coal mining subsidence area have the advantages that the defect that the accuracy is low in evaluation of the stability of the ecosystem by adopting absolute values in the prior art is overcome, and the method and the system for evaluating the stability of the ecosystem of the coal mining subsidence area are high in accuracy and are based on the relative values of all evaluation indexes before and after coal mining disturbance.
The technical scheme of the application provides a method for evaluating the stability of an ecosystem in a coal mining subsidence area, which comprises the following steps
Analyzing the vegetation change driving force of the coal mining subsidence area, and determining the stability influence index of the ecological system of the coal mining subsidence area;
according to the stability influence indexes, a hierarchical structure model of the stability measure of the coal mining subsidence area is established by using an analytic hierarchy process, and index weight data are determined;
comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data;
calculating an ecosystem stability score according to the index weight data and the index scoring data;
and determining the stability grade of the ecological system according to the stability value of the ecological system.
Further, the stability influence indexes comprise climate influence indexes and coal mining disturbance influence indexes;
the climate impact indicator comprises climate condition information;
the coal mining disturbance influence indexes comprise topographic condition information, soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information.
Further, the climate condition information includes annual precipitation, annual average air temperature and annual sunshine hours;
the terrain condition information comprises an additional gradient and a ground fracture width;
the soil condition information comprises soil moisture content, soil pH value, soil organic matter content, soil available phosphorus content, soil available potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil invertase activity and soil urease activity;
the hydrological condition information comprises underground water level, surface water quantity and water quality;
the rhizosphere microorganism condition information comprises microorganism species, microorganism quantity and microorganism diversity;
the vegetation condition information comprises the coverage degree of the existing vegetation, the diversity of plants and the biomass of plants.
Further, the establishing a hierarchical structure model of coal mining subsidence area stability measure by using an analytic hierarchy process according to the stability influence index and determining index weight data specifically comprises:
respectively determining indexes of a target layer, a criterion layer and an index layer according to the stability influence indexes;
obtaining a judgment matrix of each index of the index layer relative to the criterion layer according to the importance of each index of the index layer to the index of the criterion layer, and calculating the weight data of each index of the index layer to the criterion layer;
obtaining a judgment matrix of each index of the criterion layer relative to the target layer according to the importance of each index of the criterion layer to the index of the target layer, and calculating the weight data of each index of the criterion layer to the target layer;
and calculating index weight data of all stability influence indexes of the index layer on the target layer according to the weight data of the indexes of the index layer on the criterion layer and the weight data of the indexes of the criterion layer on the target layer.
Further, the stability impact indicator comprises climate condition information;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the fluctuation condition of the climate condition information according to the year-round climate data and the year-round climate data of the coal mining subsidence area:
wherein E isiThe fluctuation condition of the ith index in the current year climate condition information, TiIs the measured value of the ith index in the current year climate condition information, Ti 0The average value of the ith index in the climate condition information in the last years is obtained;
and according to the climate fluctuation scoring table, scoring the fluctuation condition of each index in the climate condition information to obtain index scoring data of the climate condition information.
Further, the stability influence index comprises a coal mining disturbance influence index;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the damage degree of the coal mining disturbance influence index according to the post-mining index data and the original index data of the coal mining subsidence area:
wherein D isiIn order to influence the damage degree of the ith index in the indexes, the indexes comprise soil condition information, hydrological condition information, rhizosphere microorganism condition information, vegetation condition information and Si 0Influencing the post-mining index data of the ith index in the indexes for coal mining disturbance, Si 0Influencing the original index data of the ith index in the indexes for coal mining disturbance;
and scoring the damage degree of each index in the coal mining disturbance influence indexes according to a coal mining disturbance influence index damage degree scoring table to obtain index scoring data of the coal mining disturbance influence indexes.
Further, the stability influence index comprises a coal mining disturbance influence index;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
comprehensively scoring the coal mining disturbance influence indexes according to the current data of the coal mining disturbance influence indexes in the coal mining subsidence area to obtain index scoring data of the coal mining disturbance influence indexes; the coal mining disturbance influence index comprises topographic condition information.
Further, the calculating the ecosystem stability score according to the index weight data and the index score data specifically includes:
ecosystem stability score
Wherein Q is the ecosystem stability score, RiScore data for the i-th stability-affecting metric, WiAnd index weight data of the ith stability influence index.
The technical scheme of the application also provides a storage medium, wherein the storage medium stores computer instructions, and when a computer executes the computer instructions, the storage medium is used for executing the coal mining subsidence area ecosystem stability evaluation method.
The technical scheme of the application also provides a coal mining subsidence area ecosystem stability evaluation system, which comprises at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the coal mining subsidence area ecosystem stability evaluation method as previously described.
After adopting above-mentioned technical scheme, have following beneficial effect:
when all stability influence indexes are scored, scoring is carried out according to original data and current data of a coal mining subsidence area, so that the similarity degree of the damaged state and the original state of each influence index is determined, and stability evaluation can be carried out based on the original state of an ecological system.
Drawings
The disclosure of the present application will become more readily understood by reference to the drawings. It should be understood that: these drawings are for illustrative purposes only and are not intended to limit the scope of the present application. In the figure:
FIG. 1 is a flow chart of a method for evaluating the stability of an ecosystem of a coal mining subsidence area in one embodiment of the present application;
FIG. 2 is a flow chart of a method for evaluating the stability of an ecosystem in a coal mining subsidence area in a preferred embodiment of the present application;
FIG. 3 is a hierarchical, single-rank list of index layers versus first set of weights for criteria layers in an embodiment of the present application;
FIG. 4 is a hierarchical, single-rank list of index layers versus second set of weights for criteria layers in an embodiment of the present application;
FIG. 5 is a hierarchical, single-rank list of index layers versus a third set of weights for a criteria layer in an embodiment of the present application;
FIG. 6 is a hierarchical, single-rank list of indexes versus criteria for a fourth set of weights for a layer in an embodiment of the present application;
FIG. 7 is a hierarchical, single-rank list of index layers versus fifth set of weights for criteria layers in an embodiment of the present application;
FIG. 8 is a hierarchical, single-rank list of index layers versus sixth set of weights for criteria layers in an embodiment of the present application;
FIG. 9 is a hierarchical, single-rank list of weight sets for an index layer versus a target layer in an embodiment of the present application;
FIG. 10 is a total ordered list of hierarchies corresponding to the set of weights for the index layer versus the target layer in an embodiment of the present application;
FIG. 11 is an example of a stability impact index score table;
FIG. 12 is an example of an index score data table for stability impact indices;
FIG. 13 is a schematic structural diagram of an ecosystem stability evaluation system of a coal mining subsidence area in an embodiment of the application.
Detailed Description
Embodiments of the present application are further described below with reference to the accompanying drawings.
It is easily understood that according to the technical solutions of the present application, those skilled in the art can substitute various structures and implementations without changing the spirit of the present application. Therefore, the following detailed description and the accompanying drawings are merely illustrative of the technical solutions of the present application, and should not be construed as limiting or restricting the technical solutions of the present application in their entirety.
The terms of orientation of up, down, left, right, front, back, top, bottom, and the like referred to or may be referred to in this specification are defined relative to the configuration shown in the drawings, and are relative terms, and thus may be changed correspondingly according to the position and the use state of the device. Therefore, these and other directional terms should not be construed as limiting terms. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
Throughout the description of the present application, it is to be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "coupled" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two components can be directly connected or indirectly connected through an intermediate medium, and the two components can be communicated with each other. The foregoing is to be understood as belonging to the specific meanings in the present application as appropriate to the person of ordinary skill in the art.
The method for evaluating the stability of the ecosystem of the coal mining subsidence area in the embodiment of the application is shown in figure 1 and comprises the following steps
Step S101: analyzing the vegetation change driving force of the coal mining subsidence area, and determining the stability influence index of the ecological system of the coal mining subsidence area;
step S102: according to the stability influence indexes, a hierarchical structure model of the stability measure of the coal mining subsidence area is established by using an analytic hierarchy process, and index weight data are determined;
step S103: comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data;
step S104: calculating an ecosystem stability score according to the index weight data and the index scoring data;
step S105: and determining the stability grade of the ecological system according to the stability value of the ecological system.
After coal mining disturbance, the ecosystem of a coal mining subsidence area in a windy sediment area is seriously damaged, and the ecosystem stability refers to the capability of recovering the vegetation ecosystem to the original stable state after the disturbance.
Generally, in step S101, the state of the vegetation ecosystem before coal mining disturbance is restored is used as a vegetation restoration target, and then, according to the vegetation restoration target, a vegetation change driving force in the coal mining subsidence area, for example, vegetation growth influence factors such as climate conditions and soil conditions, is analyzed, so as to determine a stability influence index of the ecosystem of the coal mining subsidence area.
And then, establishing a hierarchical structure model of the stability measure of the coal mining subsidence area of the stability influence indexes determined in the step S101 by using an analytic hierarchy process, and determining index weight data of each stability influence index on the basis of the hierarchical structure model, wherein each stability influence index corresponds to one index weight data.
The analytic hierarchy process decomposes the problem into different composition factors according to the nature of the problem and the total target to be achieved, and combines the factors according to the mutual correlation influence and membership relation among the factors in different levels to form a multi-level analytic structure model, thereby finally leading the problem to be summarized into the determination of the relative important weight of the lowest layer (index layer) relative to the highest layer (target layer) or the scheduling of the relative order of superiority and inferiority. In the ecological system stability research, the analytic hierarchy process is used for analyzing the influence degree of each stability influence index on the ecological system stability, and the influence degree of the stability influence index on the ecological system stability is reflected as index weight data, and the index weight data is larger when the influence degree of the stability influence index on the ecological system stability is larger.
Concurrently with or after step S102 is executed, step S103 is executed: and (3) according to the original background data and the current data of the coal mining subsidence area, making a scoring standard of each stability influence index by integrating related documents, and carrying out comprehensive scoring on each stability influence index by combining with the expert scoring condition to obtain the index scoring data of each stability influence index. The index scoring data is based on the original background data and the current data and is scored by combining the original background data, generally, the closer the current data is to the original background data, the higher the index scoring data is, and therefore the index scoring data can correctly reflect the disturbance influence condition of each stability index.
Step S104 integrates the index weight data of each stability impact index in step S102 and the index score data of each stability impact index in step S103, calculates the ecosystem stability score, and finally step S105 determines the ecosystem stability grade according to the ecosystem stability score.
As an example, the grading standard of the stability of the ecosystem is that the stability score of the ecosystem is more than or equal to 85 points, and the stability is stronger; the ecological system stability score is 75-85, and the stability is general; the stability score of the ecological system is less than 75 points, and the stability is poor.
According to the stability score of the ecological system, the index weight data and the index grading data of each stability influence index are integrated, and the index grading data are combined with the original background data and the current data, so that the capability of restoring the ecological system to the original state can be reflected more accurately.
In one embodiment, the stability impact indicators include a climate impact indicator and a coal mining disturbance impact indicator;
the climate impact indicator comprises climate condition information;
the coal mining disturbance influence indexes comprise topographic condition information, soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information.
Factors influencing vegetation growth not only comprise various indexes influenced by coal mining disturbance, but also comprise climate influence indexes, and the growth of vegetation can be influenced by inconsistent climate conditions in different years, so that the climate influence indexes and the coal mining disturbance influence indexes are determined as stability influence indexes in the embodiment of the application, and the stability of an ecosystem can be comprehensively evaluated.
Specifically, the climate condition information includes annual precipitation, annual average air temperature, and annual sunshine hours;
the terrain condition information comprises an additional gradient and a ground fracture width;
the soil condition information comprises soil moisture content, soil pH value, soil organic matter content, soil available phosphorus content, soil available potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil invertase activity and soil urease activity;
the hydrological condition information comprises underground water level, surface water quantity and water quality;
the rhizosphere microorganism condition information comprises microorganism species, microorganism quantity and microorganism diversity;
the vegetation condition information comprises the coverage degree of the existing vegetation, the diversity of plants and the biomass of plants.
The ecological system stability influence index can fully and comprehensively reflect the influence factors of the vegetation ecological system in the coal mining subsidence area, and has certain scientificity and rationality.
In one embodiment, the establishing a hierarchical structure model of coal mining subsidence area stability measure by using an analytic hierarchy process according to the stability influence index and determining index weight data specifically includes:
respectively determining indexes of a target layer, a criterion layer and an index layer according to the stability influence indexes;
obtaining a judgment matrix of each index of the index layer relative to the criterion layer according to the importance of each index of the index layer to the index of the criterion layer, and calculating index weight data of each index of the index layer to the criterion layer;
obtaining a judgment matrix of each index of the criterion layer relative to the target layer according to the importance of each index of the criterion layer to the index of the target layer, and calculating the weight data of each index of the criterion layer to the target layer;
and calculating index weight data of all stability influence indexes of the index layer on the target layer according to the weight data of the indexes of the index layer on the criterion layer and the weight data of the indexes of the criterion layer on the target layer.
Specifically, based on an analytic hierarchy process, stability influence indexes are layered to obtain a target layer A, a criterion layer B and an index layer C, and a hierarchical structure model is constructed. Wherein,
the target layer A is the highest level of the hierarchical structure model, namely a stability influence index for realizing the stability measure of the ecological system in the coal mining subsidence area;
the criterion layer B is a main system layer for ensuring the realization of the overall target, and is specifically divided into main indexes such as climate condition information B1, terrain condition information B2, soil condition information B3, hydrology condition information B4, rhizosphere microorganism condition information B5 and vegetation condition information B6;
the index layer C is the most basic hierarchical structure and comprises annual precipitation C1, annual average air temperature C2, annual sunshine hours C3, additional gradient C4, ground fissure width C5, soil moisture content C6, soil pH value C7, soil organic matter content C8, soil quick-acting phosphorus content C9, soil quick-acting potassium content C10, soil total nitrogen content C11, soil volume weight C12, soil porosity C13, soil acid phosphatase activity C14, soil sucrase activity C15, soil urease activity C16, groundwater level C17, surface water quantity C18, water quality C19, microorganism species C20, microorganism quantity C21, microorganism diversity C22, existing vegetation coverage degree C23, plant diversity C24 and plant biomass C25;
specifically, the climate condition information B1 includes annual precipitation C1, annual average air temperature C2, annual sunshine hours C3;
the terrain condition information B2 comprises an additional gradient C4 and a ground crack width C5;
the soil condition information B3 comprises soil moisture content C6, soil pH value C7, soil organic matter content C8, soil available phosphorus content C9, soil available potassium content C10, soil total nitrogen content C11, soil volume weight C12, soil porosity C13, soil acid phosphatase activity C14, soil sucrase activity C15 and soil urease activity C16;
the hydrological condition information B4 comprises an underground water level C17, a surface water amount C18 and a water quality C19;
rhizosphere microorganism status information B5 includes microorganism species C20, microorganism number C21, microorganism diversity C22;
the vegetation condition information B6 comprises the existing vegetation coverage degree C23, the plant diversity C24 and the plant biomass C25;
in summary, the hierarchical structure model is:
A＝{B1，B2，B3，B4，B5，B6}；
B1＝{C1，C2，C3}；
B2＝{C4，C5}；
B3＝{C6，C7，C8，C9，C10，C11，C12，C13，C14，C15，C16}；
B4＝{C17，C18，C19}；
B5＝{C20，C21，C22}；
B6＝{C23，C24，C25}。
after a hierarchical structure model is established, a judgment matrix is formed in a pairwise comparison mode according to the importance of each stability influence index in an index layer C to the main index of a previous standard layer B, then the weight values of all influence factors are calculated by a root method and normalized, and six weight sets (B-C) of the index layer C alignment rule layer B are obtained by calculation after consistency check: w21, (B-C): w22, (B-C): w23, (B-C): w24, (B-C): w25 and (B-C): w26; establishing a hierarchical single-row sequence table according to the weight values of the stability influence indexes obtained through calculation; as an example, a hierarchical, single-ordered list built from the foregoing six weight sets is shown in FIGS. 3-8.
And forming a judgment matrix by using a pairwise comparison mode according to the importance of each main index in the criterion layer B to the target layer A of the previous stage, calculating the weight value of each main index by using a square root method, carrying out normalization operation, and calculating after consistency check to obtain a weight set (A-B) of the criterion layer B to the target layer A: w1; establishing a hierarchical single-row sequence table according to the calculated weight values of the main indexes; as an example, a hierarchical single-rank list built from the weight sets of the criterion layer B to the target layer A is shown in FIG. 9.
And finally, calculating the weight data of all stability influence indexes of the index layer according to the weight data of all indexes of the index layer C to the criterion layer B and the weight data of all indexes of the criterion layer B to the target layer A.
Wherein, the index layer C aligns six weight sets of the layer B to the weight data of the criterion layer B, namely the index layer C, or establishes a hierarchical single-rank list according to the six weight sets; the weight data of each index of the criterion layer B to the target layer A is the weight set of the criterion layer B to the target layer A, or a hierarchical single-row sequence table is established according to the weight set of the criterion layer B to the target layer A.
The weight data of each index of the index layer C to the criterion layer B and the weight data of each index of the criterion layer B to the target layer A are multiplied to obtain the weight data of each stability influence index in the index layer C to the target layer A, a total ranking list of the weights of each stability influence index in the stability measurement value of the ecological system in the coal mining subsidence area is established, and an example table of the total ranking list is shown in FIG. 10.
According to the method and the device, a hierarchical structure model is constructed by adopting an analytic hierarchy process, and index weight data occupied by each stability influence index in the stability measurement value of the ecological system in the coal mining subsidence area are obtained.
In one embodiment, the stability-affecting metric includes climate condition information;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the fluctuation condition of the climate condition information according to the year-round climate data and the year-round climate data of the coal mining subsidence area:
wherein E isiThe fluctuation condition of the ith index in the current year climate condition information, TiIs the measured value of the ith index in the current year climate condition information, Ti 0The average value of the ith index in the climate condition information in the last years (last 5-15 years, preferably 8-12 years);
and according to the climate fluctuation scoring table, scoring the fluctuation condition of each index in the climate condition information to obtain index scoring data of the climate condition information.
Specifically, the climate condition information in the stability influence index includes annual precipitation, annual average air temperature and annual sunshine duration, the climate condition information is combined with the annual climate data and the current-year climate data, the corresponding climate condition information fluctuation situation is calculated by adopting the formula, the climate condition information fluctuation situation, namely the proportion of the difference value of the annual climate information relative to the average value in the average value is calculated, and the calculated climate condition information is used as the evaluation basis of the climate condition information on the stability influence of the coal mining subsidence area ecological system.
And then, integrating related documents and expert scoring results, making a climate fluctuation scoring table, and scoring the fluctuation condition of each index in the climate condition information to obtain index scoring data of the climate condition information.
According to the method and the device, the current climate condition information of the coal mining subsidence area is compared with the climate condition information of the previous year, the climate fluctuation condition is used as a grading basis, and the influence degree of the accurate climate condition information on the stability of the ecosystem can be obtained.
In one embodiment, the stability impact indicator comprises a coal mining disturbance impact indicator;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the damage degree of the coal mining disturbance influence index according to the post-mining index data and the original index data of the coal mining subsidence area:
wherein D isiIn order to influence the damage degree of the ith index in the indexes, the indexes comprise soil condition information, hydrological condition information, rhizosphere microorganism condition information, vegetation condition information and Si 0Influencing the post-mining index data of the ith index in the indexes for coal mining disturbance, Si 0For the ith in the coal mining disturbance influence indexOriginal index data of the index;
and scoring the damage degree of each index in the coal mining disturbance influence indexes according to a coal mining disturbance influence index damage degree scoring table to obtain index scoring data of the coal mining disturbance influence indexes.
Specifically, the soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information in the coal mining disturbance influence indexes specifically comprise soil moisture content, soil pH value, soil organic matter content, soil quick-acting phosphorus content, soil quick-acting potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil sucrase activity, soil urease activity, groundwater level, surface water quantity, water quality, microorganism species, microorganism quantity, microorganism diversity, existing vegetation coverage degree, plant diversity and plant biomass.
And determining the damage degree of the coal mining disturbance influence index according to the post-mining index data and the original index data by using the stability influence index as a grading standard. And determining the similarity degree of the damaged state and the original state of each stability influence index, namely the damage degree of the coal mining disturbance influence index, according to the proportion of the relative value between the actual measured value and the original value of the disturbed index data in the original value.
And then, a coal mining disturbance influence index damage degree grading table is made by integrating related documents and expert grading results, and the coal mining disturbance influence index damage degree of each index in each stability influence index is graded to obtain index grading data of the coal mining disturbance influence index.
According to the method and the device, the post-mining index data after the vegetation ecosystem of the coal mining subsidence area is damaged is compared with the original index data, the damage degree of the coal mining disturbance influence index is used as a grading basis, and the damage condition of coal mining on the stability influence index can be accurately reflected.
In one embodiment, the stability impact indicator comprises a coal mining disturbance impact indicator;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
comprehensively scoring the coal mining disturbance influence indexes according to the current data of the coal mining disturbance influence indexes in the coal mining subsidence area and a terrain disturbance scoring table to obtain index scoring data of the coal mining disturbance influence indexes; the coal mining disturbance influence index comprises topographic condition information.
Specifically, the terrain condition information in the coal mining disturbance influence index includes an additional gradient and a ground crack width, and since the values of the additional gradient and the ground crack width are zero before the coal mining disturbance, the method is not suitable for the calculation method for judging the damage degree of the coal mining disturbance influence index by using relative values, and therefore, the grading is directly carried out by taking the actual measurement values of the additional gradient and the ground crack width in the coal mining subsidence area (namely the current data of the coal mining disturbance influence index) as an index grading standard, and the index grading data of the terrain condition information in the coal mining disturbance influence index is obtained.
In one embodiment, the calculating an ecosystem stability score according to the index weight data and the index score data specifically includes:
ecosystem stability score
Wherein Q is the ecosystem stability score, RiScore data for the i-th stability-affecting metric, WiAnd index weight data of the ith stability influence index.
In the embodiment of the application, the index weight data of each stability influence index is multiplied by the corresponding index score data to obtain the stability score of each stability influence index, and the stability scores of all the stability influence indexes are added to obtain the ecosystem stability score.
According to the method and the device, the stability score of the whole ecosystem is calculated based on the weight and the score of each stability influence index, and the obtained score data is more scientific and accurate.
Taking a certain oversized working face as an example, the ecological system stability evaluation method of the coal mining subsidence area is adopted to evaluate the ecological system stability:
as shown in fig. 2, the evaluation method for the stability of the ecosystem of the coal mining subsidence area comprises the following steps:
step S201: analyzing the vegetation change driving force of the coal mining subsidence area, and determining the stability influence index of the ecological system of the coal mining subsidence area;
the stability influence indexes specifically include: climate condition information, terrain condition information, soil condition information, hydrological condition information, rhizosphere microorganism condition information, and vegetation condition information.
Wherein the climate condition information comprises annual precipitation, annual average air temperature and annual sunshine hours;
the terrain condition information comprises an additional gradient and a ground fracture width;
the soil condition information comprises soil moisture content, soil pH value, soil organic matter content, soil available phosphorus content, soil available potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil invertase activity and soil urease activity;
the hydrological condition information comprises underground water level, surface water quantity and water quality;
the rhizosphere microorganism condition information comprises microorganism species, microorganism quantity and microorganism diversity;
the vegetation condition information comprises the coverage degree of the existing vegetation, the diversity of plants and the biomass of plants.
Step S202: respectively determining indexes of a target layer, a criterion layer and an index layer according to the stability influence indexes;
specifically, the target layer A is the highest level of the hierarchical structure model, namely a stability influence index for realizing the stability measure of the ecological system in the coal mining subsidence area;
the criterion layer B is a main system layer for ensuring the realization of the overall target, and is specifically divided into main indexes such as climate condition information B1, terrain condition information B2, soil condition information B3, hydrology condition information B4, rhizosphere microorganism condition information B5 and vegetation condition information B6;
the index layer C comprises
Additional grade C4, ground crack width C5 corresponding to climate condition information B1;
the soil moisture content C6, the soil pH value C7, the soil organic matter content C8, the soil available phosphorus content C9, the soil available potassium content C10, the soil total nitrogen content C11, the soil volume weight C12, the soil porosity C13, the soil acid phosphatase activity C14, the soil sucrase activity C15 and the soil urease activity C16 which correspond to the soil condition information B3;
groundwater level C17, surface water amount C18 and water quality C19 corresponding to the hydrological condition information B4;
microorganism species C20, microorganism number C21, microorganism diversity C22 corresponding to rhizosphere microorganism status information B5;
existing vegetation coverage degree C23, plant diversity C24, and plant biomass C25 corresponding to vegetation status information B6.
Step S203: obtaining a judgment matrix of each index of the index layer relative to the criterion layer according to the importance of each index of the index layer to the index of the criterion layer, and calculating the weight data of each index of the index layer to the criterion layer;
six weight sets (B-C) are calculated for index layer C aligned to layer B: w21, (B-C): w22, (B-C): w23, (B-C): w24, (B-C): w25 and (B-C): w26, represented as a hierarchical single-rank list, are shown in FIGS. 3-8, respectively.
Step S204: obtaining a judgment matrix of each index of the criterion layer relative to the target layer according to the importance of each index of the criterion layer to the index of the target layer, and calculating the weight data of each index of the criterion layer to the target layer;
calculating to obtain a weight set (A-B) of the criterion layer B to the target layer A: w1 is represented in a hierarchical single-rank list as shown in fig. 9.
Step S205: calculating index weight data of all stability influence indexes of the index layer on the target layer according to the weight data of all indexes of the index layer on the criterion layer and the weight data of all indexes of the criterion layer on the target layer;
the index weight data of the target layer of all the stability influence indexes of the calculated index layer are represented by a hierarchical total ordered list as shown in fig. 10.
Step S206: comprehensively scoring all stability influence indexes in an index layer according to original background data and current data of a coal mining subsidence area to obtain index scoring data;
1. the method comprises the weather condition information of annual precipitation, annual average temperature and annual sunshine duration, and the weather condition information fluctuation condition is calculated by adopting the following formula according to the historical weather data and the current year weather data of the coal mining subsidence area:
wherein E isiThe fluctuation condition of the ith index in the current year climate condition information, TiIs the measured value of the ith index in the current year climate condition information, Ti 0The average value of the ith index in the climate condition information in the last years (last 5-15 years, preferably 8-12 years);
and then, according to the stability influence index scoring table (including a climate fluctuation scoring table, a coal mining disturbance influence index damage degree scoring table and a terrain disturbance scoring table) shown in fig. 11, scoring the fluctuation condition of each index in the climate condition information to obtain an index scoring data table (including scoring data of the climate condition information, the coal mining disturbance influence index and the terrain condition information) of the stability influence index shown in fig. 12.
2. The method comprises the following steps of calculating disturbance influence indexes of coal mining disturbance, wherein the disturbance influence indexes comprise soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information, and specifically comprise soil moisture content, soil pH value, soil organic matter content, soil quick-acting phosphorus content, soil quick-acting potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil saccharase activity, soil urease activity, underground water level, surface water quantity, water quality, microorganism types, microorganism quantity, microorganism diversity, existing vegetation coverage degree, plant diversity and plant biomass, and the disturbance influence index damage degree is calculated by adopting the following formula according to original background data and current data of a coal mining subsidence area:
wherein D isiInfluencing the damage degree of the ith index in the indexes for coal mining disturbance, Si 0Influencing the post-mining index data of the ith index in the indexes for coal mining disturbance, Si 0Influencing the original index data of the ith index in the indexes for coal mining disturbance;
and then, according to the stability influence index scoring table (including a climate fluctuation scoring table, a coal mining disturbance influence index damage degree scoring table and a terrain disturbance scoring table) shown in fig. 11, scoring is performed on the damage degree of each index in the coal mining disturbance influence indexes to obtain an index scoring data table (including scoring data of climate condition information, coal mining disturbance influence indexes and terrain condition information) of the stability influence indexes shown in fig. 12.
3. The terrain condition information including the additional gradient and the ground crack width is comprehensively scored according to the current data of the terrain condition information and the stability influence index scoring table (including a climate fluctuation scoring table, a coal mining disturbance influence index damage degree scoring table and a terrain disturbance scoring table) shown in fig. 11, so that the stability influence index scoring data table (including the climate condition information, the coal mining disturbance influence index and the grading data of the terrain condition information) shown in fig. 12 is obtained.
Step S207: calculating an ecosystem stability score based on the index weight data shown in FIG. 10 and the index score data shown in FIG. 12;
calculated, ecosystem stability score
Wherein Q is the ecosystem stability score, RiScore data for the i-th stability-affecting metric, WiAnd index weight data of the ith stability influence index.
Step S208: determining the stability grade of the ecological system as 'normal stability' according to the stability value of the ecological system;
the grading standard of the stability of the ecological system is specifically that the stability score of the ecological system is more than or equal to 85 points, and the stability is stronger; the ecological system stability score is 75-85, and the stability is general; the stability score of the ecological system is less than 75 points, and the stability is poor.
The technical scheme of the application also provides a storage medium, wherein the storage medium stores computer instructions, and when a computer executes the computer instructions, the storage medium is used for executing the coal mining subsidence area ecosystem stability evaluation method in any one of the embodiments.
Fig. 13 shows a coal mining subsidence area ecosystem stability evaluation system of the present application, including:
at least one processor 1301; and the number of the first and second groups,
a memory 1302 in communication with the at least one processor 1301; wherein,
the memory 1302 stores instructions executable by the at least one processor 1301 for enabling the at least one processor 1301 to perform all the steps of the coal mining collapse zone ecosystem stability assessment method in any of the method embodiments described above.
In fig. 13, a processor 1302 is taken as an example:
the electronic device may further include: an input device 1303 and an output device 1304.
The processor 1301, the memory 1302, the input device 1303 and the output device 1304 may be connected by a bus or other means, and the bus connection is illustrated as an example.
The memory 1302, which is a non-volatile computer-readable storage medium, may be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the coal mining subsidence area ecosystem stability evaluation method in the embodiment of the present application, for example, the method flow shown in fig. 1 or 2. The processor 1301 executes various functional applications and data processing by running nonvolatile software programs, instructions and modules stored in the memory 1302, so as to implement the coal mining subsidence area ecosystem stability evaluation method in the above embodiment.
The memory 1302 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created according to use of the coal mining subsidence area ecosystem stability evaluation method, and the like. Further, the memory 1302 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 1302 may optionally include memory remotely located from the processor 1301, which may be connected via a network to a device that performs the coal mining subsidence area ecosystem stability evaluation method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 1303 may receive input user clicks and generate signal inputs related to user settings and functional controls of the coal mining subsidence area ecosystem stability evaluation method. The output device 1304 may include a display device such as a display screen.
When the one or more modules are stored in the memory 1302 and executed by the one or more processors 1301, the coal mining subsidence area ecosystem stability evaluation method in any of the above-described method embodiments is performed.
What has been described above is merely the principles and preferred embodiments of the present application. It should be noted that, for those skilled in the art, the embodiments obtained by appropriately combining the technical solutions respectively disclosed in the different embodiments are also included in the technical scope of the present invention, and several other modifications may be made on the basis of the principle of the present application and should be regarded as the protective scope of the present application.
Claims (10)
1. A method for evaluating the stability of an ecosystem in a coal mining subsidence area is characterized by comprising the following steps
Analyzing the vegetation change driving force of the coal mining subsidence area, and determining the stability influence index of the ecological system of the coal mining subsidence area;
according to the stability influence indexes, a hierarchical structure model of the stability measure of the coal mining subsidence area is established by using an analytic hierarchy process, and index weight data are determined;
comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data;
calculating an ecosystem stability score according to the index weight data and the index scoring data;
and determining the stability grade of the ecological system according to the stability value of the ecological system.
2. The method for evaluating the stability of the ecosystem of a coal mining subsidence area according to claim 1, wherein the stability influence indexes comprise a climate influence index and a coal mining disturbance influence index;
the climate impact indicator comprises climate condition information;
the coal mining disturbance influence indexes comprise topographic condition information, soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information.
3. The coal mining subsidence area ecosystem stability evaluation method of claim 2,
the weather condition information comprises annual precipitation, annual average air temperature and annual sunshine hours;
the terrain condition information comprises an additional gradient and a ground fracture width;
the soil condition information comprises soil moisture content, soil pH value, soil organic matter content, soil available phosphorus content, soil available potassium content, soil total nitrogen content, soil volume weight, soil porosity, soil acid phosphatase activity, soil invertase activity and soil urease activity;
the hydrological condition information comprises underground water level, surface water quantity and water quality;
the rhizosphere microorganism condition information comprises microorganism species, microorganism quantity and microorganism diversity;
the vegetation condition information comprises the coverage degree of the existing vegetation, the diversity of plants and the biomass of plants.
4. The method for evaluating the stability of the ecosystem of a coal mining subsidence area according to any one of claims 1 to 3, wherein a hierarchical structure model of the stability measure of the coal mining subsidence area is established by using a hierarchical analysis method according to the stability influence index, and index weight data are determined, and the method specifically comprises the following steps:
respectively determining indexes of a target layer, a criterion layer and an index layer according to the stability influence indexes;
obtaining a judgment matrix of each index of the index layer relative to the criterion layer according to the importance of each index of the index layer to the index of the criterion layer, and calculating the weight data of each index of the index layer to the criterion layer;
obtaining a judgment matrix of each index of the criterion layer relative to the target layer according to the importance of each index of the criterion layer to the index of the target layer, and calculating the weight data of each index of the criterion layer to the target layer;
and calculating index weight data of all stability influence indexes of the index layer on the target layer according to the weight data of the indexes of the index layer on the criterion layer and the weight data of the indexes of the criterion layer on the target layer.
5. The coal mining subsidence area ecosystem stability evaluation method of any one of claims 1-3, wherein the stability impact indicators include climate condition information;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the fluctuation condition of the climate condition information according to the year-round climate data and the year-round climate data of the coal mining subsidence area:
wherein E isiThe fluctuation condition of the ith index in the current year climate condition information, TiIs the measured value of the ith index in the weather condition information of the current year,
the average value of the ith index in the climate condition information in the last years is obtained;
and according to the climate fluctuation scoring table, scoring the fluctuation condition of each index in the climate condition information to obtain index scoring data of the climate condition information.
6. The method for evaluating the stability of the ecosystem of a coal mining subsidence area according to any one of claims 1 to 3, wherein the stability influence index comprises a coal mining disturbance influence index;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
determining the damage degree of the coal mining disturbance influence index according to the post-mining index data and the original index data of the coal mining subsidence area:
wherein D isiIn order to influence the damage degree of the ith index in the indexes, the indexes comprise soil condition information, hydrological condition information, rhizosphere microorganism condition information and vegetation condition information,
in order to influence the post-mining index data of the ith index in the indexes by coal mining disturbance,
influencing the original index data of the ith index in the indexes for coal mining disturbance;
and scoring the damage degree of each index in the coal mining disturbance influence indexes according to a coal mining disturbance influence index damage degree scoring table to obtain index scoring data of the coal mining disturbance influence indexes.
7. The method for evaluating the stability of the ecosystem of a coal mining subsidence area according to any one of claims 1 to 3, wherein the stability influence index comprises a coal mining disturbance influence index;
the method comprises the following steps of comprehensively scoring the stability influence indexes according to original background data and current data of the coal mining subsidence area to obtain index scoring data, and specifically comprises the following steps:
comprehensively scoring the coal mining disturbance influence indexes according to the current data of the coal mining disturbance influence indexes in the coal mining subsidence area to obtain index scoring data of the coal mining disturbance influence indexes; the coal mining disturbance influence index comprises topographic condition information.
8. The method for evaluating the stability of the ecosystem of the coal mining subsidence area according to any one of claims 1 to 3, wherein the calculating of the stability score of the ecosystem according to the index weight data and the index scoring data specifically comprises:
ecosystem stability score
Wherein Q is the ecosystem stability score, RiScore data for the i-th stability-affecting metric, WiAnd index weight data of the ith stability influence index.
9. A storage medium storing computer instructions for performing the coal mining subsidence area ecosystem stability evaluation method of any one of claims 1-8 when the computer instructions are executed by a computer.
10. A coal mining subsidence area ecosystem stability evaluation system is characterized by comprising at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the coal mining collapse zone ecosystem stability assessment method of any one of claims 1-8.
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