CN112561328A - Mining area refuse dump ecological restoration effect evaluation method, storage medium and system - Google Patents
Mining area refuse dump ecological restoration effect evaluation method, storage medium and system Download PDFInfo
- Publication number
- CN112561328A CN112561328A CN202011483825.5A CN202011483825A CN112561328A CN 112561328 A CN112561328 A CN 112561328A CN 202011483825 A CN202011483825 A CN 202011483825A CN 112561328 A CN112561328 A CN 112561328A
- Authority
- CN
- China
- Prior art keywords
- dump
- index
- ecological restoration
- information
- ecological
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005065 mining Methods 0.000 title claims abstract description 102
- 230000000694 effects Effects 0.000 title claims abstract description 91
- 238000011156 evaluation Methods 0.000 title claims abstract description 79
- 238000003860 storage Methods 0.000 title claims abstract description 13
- 230000004044 response Effects 0.000 claims abstract description 113
- 230000000813 microbial effect Effects 0.000 claims abstract description 97
- 230000036541 health Effects 0.000 claims abstract description 72
- 238000000034 method Methods 0.000 claims abstract description 59
- 239000002699 waste material Substances 0.000 claims abstract description 47
- 244000005700 microbiome Species 0.000 claims abstract description 29
- 239000002689 soil Substances 0.000 claims description 72
- 239000011159 matrix material Substances 0.000 claims description 62
- 239000003205 fragrance Substances 0.000 claims description 39
- 241000233866 Fungi Species 0.000 claims description 36
- 230000002538 fungal effect Effects 0.000 claims description 29
- 241000894006 Bacteria Species 0.000 claims description 19
- 108090000790 Enzymes Proteins 0.000 claims description 19
- 102000004190 Enzymes Human genes 0.000 claims description 19
- 230000008569 process Effects 0.000 claims description 18
- 239000002028 Biomass Substances 0.000 claims description 14
- 230000008635 plant growth Effects 0.000 claims description 12
- 241000186361 Actinobacteria <class> Species 0.000 claims description 10
- 230000001580 bacterial effect Effects 0.000 claims description 10
- 230000015654 memory Effects 0.000 claims description 9
- 230000035899 viability Effects 0.000 claims description 6
- 241001446247 uncultured actinomycete Species 0.000 claims description 5
- 244000000000 soil microbiome Species 0.000 claims description 2
- 241000196324 Embryophyta Species 0.000 description 45
- 238000004364 calculation method Methods 0.000 description 19
- 238000007726 management method Methods 0.000 description 15
- 230000008439 repair process Effects 0.000 description 15
- 239000002609 medium Substances 0.000 description 9
- 239000003245 coal Substances 0.000 description 7
- 101710184309 Probable sucrose-6-phosphate hydrolase Proteins 0.000 description 6
- 102400000472 Sucrase Human genes 0.000 description 6
- 101710112652 Sucrose-6-phosphate hydrolase Proteins 0.000 description 6
- 235000011073 invertase Nutrition 0.000 description 6
- 238000012544 monitoring process Methods 0.000 description 5
- 241000566145 Otus Species 0.000 description 4
- 108010046334 Urease Proteins 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 4
- 230000007613 environmental effect Effects 0.000 description 4
- 230000007246 mechanism Effects 0.000 description 4
- 238000005067 remediation Methods 0.000 description 4
- 239000000758 substrate Substances 0.000 description 4
- 238000012360 testing method Methods 0.000 description 4
- 108020004414 DNA Proteins 0.000 description 3
- 125000003118 aryl group Chemical group 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 238000002474 experimental method Methods 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000012163 sequencing technique Methods 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- IANQTJSKSUMEQM-UHFFFAOYSA-N 1-benzofuran Chemical compound C1=CC=C2OC=CC2=C1 IANQTJSKSUMEQM-UHFFFAOYSA-N 0.000 description 2
- 235000005492 Artemisia desertorum Nutrition 0.000 description 2
- 241001661344 Artemisia desertorum Species 0.000 description 2
- 244000025254 Cannabis sativa Species 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 2
- 102000016938 Catalase Human genes 0.000 description 2
- 108010053835 Catalase Proteins 0.000 description 2
- 241000511730 Leymus chinensis Species 0.000 description 2
- ISWSIDIOOBJBQZ-UHFFFAOYSA-N Phenol Chemical compound OC1=CC=CC=C1 ISWSIDIOOBJBQZ-UHFFFAOYSA-N 0.000 description 2
- 102000004160 Phosphoric Monoester Hydrolases Human genes 0.000 description 2
- 108090000608 Phosphoric Monoester Hydrolases Proteins 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 239000003513 alkali Substances 0.000 description 2
- 230000003321 amplification Effects 0.000 description 2
- 229910052799 carbon Inorganic materials 0.000 description 2
- 230000003197 catalytic effect Effects 0.000 description 2
- 239000002131 composite material Substances 0.000 description 2
- 238000012258 culturing Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000013210 evaluation model Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000001963 growth medium Substances 0.000 description 2
- 238000012165 high-throughput sequencing Methods 0.000 description 2
- 238000000691 measurement method Methods 0.000 description 2
- 230000007935 neutral effect Effects 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000011435 rock Substances 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 238000013316 zoning Methods 0.000 description 2
- 241000209137 Agropyron cristatum Species 0.000 description 1
- 241001061906 Caragana Species 0.000 description 1
- 241000223019 Caragana korshinskii Species 0.000 description 1
- 238000007400 DNA extraction Methods 0.000 description 1
- 241000744304 Elymus Species 0.000 description 1
- 241000621071 Elymus dahuricus Species 0.000 description 1
- 241000219823 Medicago Species 0.000 description 1
- 240000004658 Medicago sativa Species 0.000 description 1
- 235000010624 Medicago sativa Nutrition 0.000 description 1
- 235000017587 Medicago sativa ssp. sativa Nutrition 0.000 description 1
- 238000012408 PCR amplification Methods 0.000 description 1
- 241001668545 Pascopyrum Species 0.000 description 1
- 239000001888 Peptone Substances 0.000 description 1
- 108010080698 Peptones Proteins 0.000 description 1
- 108091027981 Response element Proteins 0.000 description 1
- 241000585809 Stipa capillata Species 0.000 description 1
- ATJFFYVFTNAWJD-UHFFFAOYSA-N Tin Chemical compound [Sn] ATJFFYVFTNAWJD-UHFFFAOYSA-N 0.000 description 1
- 238000000246 agarose gel electrophoresis Methods 0.000 description 1
- 239000002585 base Substances 0.000 description 1
- 235000015278 beef Nutrition 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000005119 centrifugation Methods 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000006731 degradation reaction Methods 0.000 description 1
- 238000010790 dilution Methods 0.000 description 1
- 239000012895 dilution Substances 0.000 description 1
- 238000004043 dyeing Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002255 enzymatic effect Effects 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 235000015097 nutrients Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 235000019319 peptone Nutrition 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000003752 polymerase chain reaction Methods 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000002798 spectrophotometry method Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 239000005720 sucrose Substances 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- General Physics & Mathematics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a mining area refuse dump ecological restoration effect evaluation method, a storage medium and a system, wherein the method comprises the following steps: acquiring plant community information, microbial community information and ecological system health information in a sample after ecological restoration of a refuse dump in a mining area; obtaining vegetation response information after ecological restoration of the mine waste dump according to the plant community information in the sample, obtaining microbial response information after ecological restoration of the mine waste dump according to the microbial community information, and obtaining ecosystem response information after ecological restoration of the mine waste dump according to the ecosystem health information; and obtaining the ecological restoration effect evaluation result of the mine dump according to the vegetation response information, the microbial response information and the ecological system response information after the ecological restoration of the mine dump. According to the scheme, when the ecological restoration effect evaluation of the refuse dump in the mining area is carried out, the influence of plants, microorganisms and ecological system health information in restoration evaluation is comprehensively considered, the regional environment difference among different mining areas is eliminated, and the evaluation is more accurate.
Description
Technical Field
The invention belongs to the technical field of monitoring of ecological restoration effects of mining areas, and particularly relates to a mining area refuse dump ecological restoration effect evaluation method, a storage medium and a mining area refuse dump ecological restoration effect evaluation system.
Background
The coal industry energy of China always occupies the leading position of energy supply. The strip mine is a special land utilization unit, and the mining process is accompanied by severe ground surface disturbance, so that the land landscape pattern mined by the strip mine is changed and recombined greatly in a short time; and the surrounding ecological system is seriously interfered, and the original natural landscape, ecological vegetation and landform are destroyed. The original vegetation is scarce and ecological and fragile in arid and semiarid grassland areas in north China, the open pit mining process of coal causes serious damage to the ecology of a mining area, and a dumping field of an open pit coal mine is a main centralized disposal site of wastes in the coal mining process and generally occupies more than half of the land of the open pit coal mine. The nutrient condition of the soil is changed, so that the growth and development conditions of plants are influenced, the degradation of vegetation is aggravated, the stability of the soil environment and an ecological system is influenced, and the balance of the ecological system is damaged. Besides the influence on the ecological environment, the mining and disturbance of the mining area also destroy the rock mechanical properties and the underground water power condition of the slope rock mass.
With the development of mining activities in mining areas, post-mining restoration work is particularly important, wherein land reclamation and vegetation restoration play a great role in ecological restoration of mining areas, so that the evaluation of succession and change of plant and soil microbial communities embodies scientific and application values. Therefore, a comprehensive and accurate evaluation method for the ecological restoration effect of the dump in the mining area is needed to provide theoretical support for the restoration work after mining in the existing mining area.
Disclosure of Invention
In view of the above, the invention provides a mining area waste dump ecological restoration effect evaluation method, a storage medium and a system, which are used for evaluating the mining area waste dump ecological restoration effect from a comprehensive angle, linking vegetation response, microbial response and ecological system health response information related to mining area restoration together, and applying mathematical operation in environmental impact evaluation to construct a mining area waste dump ecological restoration effect evaluation system, so as to provide a scientific decision basis for further restoration work of a mining area.
Therefore, some embodiments of the invention provide a method for evaluating the ecological restoration effect of a mine dump, which comprises the following steps:
acquiring plant community information, microbial community information and ecological system health information in a sample after ecological restoration of a refuse dump in a mining area;
vegetation response information after the ecological restoration of the mine waste dump is obtained according to the plant community information, microbial response information after the ecological restoration of the mine waste dump is obtained according to the microbial community information, and ecological system health response information after the ecological restoration of the mine waste dump is obtained according to the ecological system health information;
and obtaining the ecological restoration effect evaluation result of the mine dump according to the vegetation response information, the microbial response information and the ecological system health response information after the mine dump is ecologically restored.
Optionally, in the method for evaluating the ecological restoration effect of the mine dump, in the step of obtaining the plant community information, the microbial community information and the ecosystem health information in the sample after the ecological restoration of the mine dump, the plant community data in the sample after the ecological restoration of the mine dump is obtained in the following manner:
obtaining a concentration-Vera index and a Simpson index and a uniformity index C1 of a plant community in a sample after ecological restoration of a refuse dump in a mining area;
obtaining plant community diversity data B1 after ecological restoration of a mine waste dump according to the Xiangnong-Weina index, the Simpson index and the uniformity index C1;
obtaining the plant height C2, biomass C3 and coverage C4 of a plant community in a sample after ecological restoration of a refuse dump in a mining area;
plant growth data B2 after ecological restoration of the refuse dump in the mining area according to the plant height C2, biomass C3 and coverage C4;
and obtaining the plant community information according to the plant community diversity data B1 and the plant growth data B2.
Optionally, in the method for evaluating the ecological restoration effect of the mine waste dump, in the step of obtaining the plant community information, the microbial community information and the ecosystem health information of the sample after ecological restoration of the mine waste dump, the microbial community information in the sample after ecological restoration of the mine waste dump is obtained as follows:
obtaining soil bacteria chao1 and a fragrance concentration diversity index C5, fungi chao1 and a fragrance concentration diversity index C6, and AM fungi chao1 and a fragrance concentration diversity index C7 in a sample after ecological restoration of a refuse dump in a mining area;
obtaining microbial community diversity data B3 in soil after ecological restoration of a mining dump according to the bacteria chao1 and fragrance concentration diversity index C5, the fungi chao1 and fragrance concentration diversity index C6 and the AM fungi chao1 and fragrance concentration diversity index C7;
obtaining an enzyme activity index C8 of soil after ecological restoration of a dumping site in a mining area;
obtaining microbial activity data B4 of soil subjected to ecological restoration of a mine dump according to the enzyme activity index C8;
obtaining the number of culturable microorganisms C9 and AM fungal spore density C10 of bacteria, actinomycetes and fungi in soil after ecological restoration of a refuse dump in a mining area;
obtaining soil culturable microorganism data B5 after ecological restoration of a mine dump according to the bacteria & actinomycetes & fungi culturable microorganism number C9 and the AM fungal spore density C10;
obtaining the microbial community information according to the microbial community diversity data B3, the microbial viability data B4 and the culturable microbial quantity data B5.
Optionally, in the method for evaluating the ecological restoration effect of the mine waste dump, in the step of obtaining the plant community information, the microbial community information and the ecosystem health information in the sample after the ecological restoration of the mine waste dump, the ecosystem health information after the ecological restoration of the mine waste dump is obtained in the following manner:
obtaining a VOR & CVOR comprehensive index C11 in a sample after ecological restoration of a refuse dump in a mining area;
obtaining ecological system health data of the sample after ecological restoration of the refuse dump in the mining area according to the VOR & CVOR comprehensive index C11;
and obtaining the health information of the ecological system according to the health data of the ecological system.
Optionally, the method for evaluating the ecological restoration effect of the refuse dump in the mining area further includes the following steps:
determining a first weight value of each index of a sample after ecological restoration of a refuse dump in a mining area; the vegetation response information, the microbial response information and the ecological system health response information are obtained according to the index values and the first weight value; the indices include: the method comprises the following steps of (1) obtaining a fragrance-Vernah index & Simpson index & uniformity index C1, plant height C2, biomass C3, cover degree C4, bacterial chao1 and fragrance concentration diversity index C5, fungal chao1 and fragrance concentration diversity index C6, AM fungal chao1 and fragrance concentration diversity index C7, enzyme activity index C8, bacterial & actinomycete & fungi culturable microorganism number C9, AM fungal spore density C10 and VOR & CVOR comprehensive index C11;
determining second weight values of the vegetation response information, the microbial response information and the ecosystem health response information; and the evaluation result of the ecological restoration effect of the refuse dump in the mining area is obtained according to the vegetation response information, the microbial response information, the ecological system health response information and the second weight value.
Optionally, in the method for evaluating the ecological restoration effect of the mine dump, the first weight value and the second weight value of each index of the sample after ecological restoration of the mine dump are determined by an analytic hierarchy process.
Optionally, in the method for evaluating the ecological restoration effect of the mine dump, the step of determining the first weight value and the second weight value of each index of the sample after ecological restoration of the mine dump by using an analytic hierarchy process includes:
constructing a judgment matrix to obtain a group of judgment matrices of indexes of the sample after ecological restoration of the refuse dump in the mining area; obtaining a second judgment matrix of the vegetation response information, the microbial response information and the ecological system health response information after ecological restoration of the refuse dump in the mining area;
a consistency checking step, namely comparing the importance degrees of any two initial weight values in the first judgment matrix to obtain the order of the importance degrees of all the initial weight values in the first judgment matrix; comparing the importance degrees of any two initial weight values in the second judgment matrix to obtain the order of the importance degrees of all the initial weight values in the second judgment matrix;
calculating each weight value, namely multiplying elements in each row in the first judgment matrix according to the rows to obtain a new column vector, opening each component of the new vector by the power of n, and normalizing the column vector to obtain the weight value corresponding to the index; multiplying elements of each line in the second judgment matrix according to the line to obtain a new column vector, opening each component of the new column vector by the power of n, and normalizing the column vector to obtain the weight value corresponding to the information.
Optionally, the method for evaluating the ecological restoration effect of the mine dump, wherein the step of determining the first weight value and the second weight value of each index of the sample after ecological restoration of the mine dump by using an analytic hierarchy process further includes:
and a step of overall consistency check, which is to perform consistency check on the first judgment matrix and the second judgment matrix: calculating a consistency index CI of the first judgment matrix/the second judgment matrix:
wherein, λ max is the maximum eigenvalue, n is the dimension of the matrix, the average random consistency index RI is determined according to the size of n and the consistency ratio CR is calculated:
if CR <0.1, the consistency of the first judgment matrix/the second judgment matrix is passed; otherwise, the first judgment matrix/the second judgment matrix needs to be corrected.
The invention further provides a storage medium, wherein program information is stored in the storage medium, and after the program information is read by a computer, the computer executes the method for evaluating the ecological restoration effect of the refuse dump in the mining area.
In some embodiments of the present invention, there is further provided a mining area waste dump ecological restoration effect evaluation system, where the system includes at least one processor and at least one memory, and program information is stored in at least one of the memories, and after the at least one processor reads the program information, the at least one processor performs any one of the above mining area waste dump ecological restoration effect evaluation methods.
Compared with the prior art, the technical scheme provided by the invention at least has the following beneficial effects: when the ecological restoration effect evaluation of the mine dump is carried out, the influence of plants, microorganisms and ecological system health information on restoration evaluation is comprehensively considered, all-aspect indexes of soil microorganisms are added to evaluate the ecological restoration degree of the mine dump, a decision basis is provided for later management and monitoring, the regional environment difference among different mine areas is eliminated, and the evaluation is more accurate.
Drawings
Fig. 1 is a flowchart of an ecological restoration effect evaluation method for a mine dump according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a comprehensive evaluation system model for ecological restoration effects of a mine dump according to an embodiment of the invention;
fig. 3 is a block diagram illustrating an ecological restoration effect evaluation system of a mine dump according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be further described with reference to the accompanying drawings. In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description of the present invention, and do not indicate or imply that the device or assembly referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus, should not be construed as limiting the present invention. 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. Wherein the terms "first position" and "second position" are two different positions.
Some embodiments of the present invention provide a method for evaluating ecological restoration effects of a mine dump, as shown in fig. 1, including the following steps:
s101: and acquiring plant community information, microbial community information and ecological system health information in the sample after ecological restoration of the refuse dump in the mining area.
S102: and vegetation response information after the ecological restoration of the mine waste dump is obtained according to the plant community information, microbial response information after the ecological restoration of the mine waste dump is obtained according to the microbial community information, and ecological system health response information after the ecological restoration of the mine waste dump is obtained according to the ecological system health information.
S103: and obtaining the ecological restoration effect evaluation result of the mine dump according to the vegetation response information, the microbial response information and the ecological system health response information after the mine dump is ecologically restored.
According to the scheme, when the ecological restoration effect evaluation of the mine dump is carried out, the influence of plants, microorganisms and ecological system health information on restoration evaluation is comprehensively considered, all-side indexes of soil microorganisms are added to evaluate the ecological restoration degree of the mine dump, a decision basis is provided for later management and monitoring, the regional environment difference among different mine areas is eliminated, and the evaluation is more accurate.
Specifically, referring to fig. 2, in order to comprehensively and comprehensively evaluate the remediation effect of the dump in the mining area, an ecological mechanism analysis comprehensive level analogy analysis method and a mathematical operation means in the environmental impact evaluation are combined, and a comprehensive evaluation model of the ecological remediation effect of the dump in the mining area is constructed aiming at three aspects of plants, soil microorganisms and ecological system health information, and the evaluation model comprises:
the target layer 101 is a result of ecological restoration effect of the refuse dump in the mining area, and can be a grade or a score; the criterion layer 102, the criterion layer 102 comprises vegetation response information A1, microbial response information A2 and ecosystem health response information A3; the element layer 103 is provided with elements corresponding to the vegetation response information A1, wherein the elements comprise plant community diversity data B1 and plant growth index data B2; elements corresponding to the microbial response information A2 comprise three parts, namely microbial community diversity data B3, microbial viability data B4 and culturable microbial quantity data B5; the index layer 104, wherein the plant community diversity data B1 adopts the concentration-Vera index and the Simpson index and the uniformity index C1 in the index layer as evaluation indexes, and the plant growth index data B2 adopts the plant height C2, the biomass C3 and the coverage C4 in the index layer as evaluation indexes; wherein the microbial community diversity data B3 adopts a bacterial chao1 index and a fragrance diversity index C5, a fungal chao1 index and a fragrance diversity index C6, an AM fungal chao1 index and a fragrance diversity index C6 in an index layer, the microbial activity B4 adopts an enzymatic activity index C8 in the index layer as an evaluation index, and the culturable microbial quantity B5 adopts a bacterial, actinomycete and fungal culturable microbial quantity C9 in the index layer as an evaluation index; the ecological system health data B6 adopts the VOR and CVOR comprehensive indexes in the index layer as evaluation indexes; decision layer 104 and decision layer 105 can provide divisions and suggestions for the comprehensive results of ecological restoration of the refuse dump in the mining area.
On the basis, in the method, the step of acquiring the plant community information, the microbial community information and the ecosystem health information in the sample after the ecological restoration of the refuse dump in the mining area comprises the following steps:
obtaining the plant community data in the sample after ecological restoration of the refuse dump in the mining area by the following method: obtaining a fragrance-Weina index and a Simpson index and a uniformity index C1 in a sample after ecological restoration of a refuse dump in a mining area; obtaining plant community diversity data B1 after ecological restoration of a mine waste dump according to the Xiangnong-Weina index, the Simpson index and the uniformity index C1; obtaining the plant height C2, biomass C3 and coverage C4 in a plant community in a sample after ecological restoration of a refuse dump in a mining area; plant growth data B2 after ecological restoration of the refuse dump in the mining area according to the plant height C2, biomass C3 and coverage C4; and obtaining the plant community information according to the plant community diversity data B1 and the plant growth data B2.
Acquiring microbial community information in a sample after ecological restoration of a mine dump by the following method: obtaining bacteria chao1 and a fragrance concentration diversity index C5, fungi chao1 and a fragrance concentration diversity index C6, and AM fungi chao1 and a fragrance concentration diversity index C7 of soil in a sample after ecological restoration of a refuse dump in a mining area; obtaining microbial community diversity data B3 after ecological restoration of a mining dump according to the bacteria chao1 and fragrance concentration diversity index C5, the fungi chao1 and fragrance concentration diversity index C6 and the AM fungi chao1 and fragrance concentration diversity index C7; obtaining an enzyme activity index C8 of soil in a sample after ecological restoration of a dump of a mining area; obtaining microorganism activity data B4 after ecological restoration of the refuse dump in the mining area according to the enzyme activity index C8; obtaining the number C9 of bacteria, actinomycetes and fungi culturable microorganisms and the AM fungal spore density C10 of soil in a sample after ecological restoration of a dump of a mining area; obtaining culturable microorganism data B5 after ecological restoration of a dump of a mining area according to the culturable microorganism number C9 of the bacteria, the actinomycetes and the fungi and the spore density C10 of the AM fungi; obtaining the microbial community information according to the microbial community diversity data B3, the microbial viability data B4 and the culturable microbial quantity data B5.
Acquiring ecological system health information after ecological restoration of a mine dump by the following method: obtaining a VOR & CVOR comprehensive index C11 in a sample after ecological restoration of a refuse dump in a mining area; obtaining ecological system health data after ecological restoration of a refuse dump in a mining area according to the VOR & CVOR comprehensive index C11; and obtaining the health information of the ecological system according to the health data of the ecological system.
The acquisition mode of each index in the above steps is as follows:
1. the algorithm of each index of vegetation response data a1 is shown in table 1:
table 1 algorithm of each index of vegetation response data a1
2. The algorithm of each index of the microbial response information A2 is as follows:
(1) microbial community diversity B3 comprises indicator layer bacteria chao1 and fragrance diversity index C5, fungus chao1 and fragrance diversity index C6, AM fungus chao1 and fragrance diversity index C7; the soil microbial community chao1 and the coumarone index calculation formula described are:
chaol is the Chao1 index, Shannon is the Shannon index, SOTU is the number of OTUs observed, P1 is the number of OTUs with only one sequence, and P2 is the number of OTUs with only two sequences; pi is the number of OTUs containing i series, n is the number of all sequences;
(2) the soil enzyme activity index C8 is calculated by the following steps: the determination of soil catalase, soil sucrase and soil urease adopts the existing corresponding kit for determination, the operation process is strictly carried out according to the instruction of the kit, and the activity is calculated as follows: the soil urease catalyzes the substrate to produce 1 mu g of NH3-N per gram of soil sample per day and is defined as an enzyme activity unit; the soil sucrase activity is defined as a soil sucrase activity unit by catalyzing 1mg of reducing sugar produced by the substrate per gram of soil per day; determination of soil acid, alkali and neutral phosphatase activity: the enzyme activity unit is defined as 1mg phenol produced per gram of soil per day by the catalytic mechanism, and the method described herein may be replaced by other conventional methods as long as the soil enzyme activity can be calculated and reflected.
(3) Number of culturable microorganisms in soil C9: counting by dilution culture, culturing by using a beef extract peptone culture medium for measuring the number of bacteria, and culturing by using a Gao's No. I culture medium for measuring the number of actinomycetes; the determination of the fungal population was carried out on Martin-Bengal Red medium.
(4) AM fungal spore density C10: weighing 20g of backup soil sample, separating AM fungal spores by adopting a wet sieve pouring-sucrose centrifugation method, classifying by using a Leica EZ4 dissecting mirror under a 25X visual field by adopting a transillumination method, absorbing the AM fungal spores for dyeing and tabletting, and counting to measure the spore density, namely the number of the spores in the soil in 20g of air-dried sample.
3. The algorithm of the indexes of the ecosystem health response A3 is as follows: ecosystem health data B6 is composed of index layer VOR comprehensive index and CVOR comprehensive index C11, and soil total carbon is used as grass foundation condition evaluation index for calculation as shown in Table 2.
In the above scheme, the method further comprises the following steps: determining a first weight value of each index of a sample after ecological restoration of a refuse dump in a mining area; the vegetation response information, the microbial response information and the ecological system health response information are obtained according to the index values and the first weight value; the indices include: the method comprises the following steps of (1) obtaining a fragrance-Vernah index & Simpson index & uniformity index C1, plant height C2, biomass C3, cover degree C4, bacterial chao1 and fragrance concentration diversity index C5, fungal chao1 and fragrance concentration diversity index C6, AM fungal chao1 and fragrance concentration diversity index C7, enzyme activity index C8, bacterial & actinomycete & fungi culturable microorganism number C9, AM fungal spore density C10 and VOR & CVOR comprehensive index C11; determining second weight values of the vegetation response information, the microbial response information and the ecosystem health response information; and the evaluation result of the ecological restoration effect of the refuse dump in the mining area is obtained according to the vegetation response information, the microbial response information, the ecological system health response information and the second weight value.
TABLE 2 VOR & CVOR synthetic index operation mode
And determining the first weight value and the second weight value of each index of the sample after ecological restoration of the mine dump by an analytic hierarchy process. The analytic hierarchy process is further divided into: constructing a judgment matrix, carrying out consistency check, calculating weights of each layer, carrying out overall consistency check, and finally determining the weights of indexes in a criterion layer A, an element layer B and an index layer C, wherein the weights comprise vegetation response A1, microbial response A2 and ecosystem health response A3 of the criterion layer A, plant community diversity B1, plant growth index B2, community diversity B3, microbial activity B4, culturable microbial number B5 and ecosystem health index B6 of the element layer B, aromatic-Weiner index & Cipnson index C1, plant height C2, biomass C3, coverage C4, bacterial chao1 and aromatic diversity index C5 of the index layer C, fungal chao1 and aromatic diversity index C6, AM fungal chao1 and aromatic diversity index C7, enzyme activity C5, bacterial & actinomycete & fungal culturable spore density C9, and fungal spore density AM 57324 of the index C10, VOR & CVOR combined index C11. The specific calculation process is as follows:
(1) the weight values are noted as: w-1 wn (w1 w2 w 3.. wn), a coincidence decision matrix method is used, in which all factors are not put together for comparison, but are compared with each other two by two. Relative scales are used to minimize the difficulty of comparing various factors with each other to improve accuracy, and importance scales are assigned to the importance degrees 1-9 as shown in Table 3.
TABLE 3 significance Scale values
The assigned judgment matrix should satisfy the following conditions: aij>0；②aji＝1/aij(i，j＝1，2，…，n)；③aii1. Then, a decision matrix, i.e. a weight ratio of the two factors, is obtained.
(2) Determining the weights of vegetation response A1, soil microbial response A2 and ecosystem health response A3 of the criterion layer A by adopting an analytic hierarchy process to obtain the weight W of the influence of A1, A2 and A3 on O, wherein the judgment matrix is as follows:
calculating the weight by adopting a geometric mean method, namely multiplying the elements of the A according to rows to obtain a new column vector, opening each component of the new vector by the power of n, normalizing the column vector to obtain a weight vector (namely the weight of a criterion layer), calculating by adopting an EXCEL basic function, wherein the eigenvector W of the matrix is the weight of the criterion layer: WA1 ═ 0.3445, WA2 ═ 0.5469, WA3 ═ 0.1085; for the employed weight judgment matrix, consistency check is performed: calculating and judging the maximum eigenvalue lambda max of the matrix and the consistency index CI:
where n is the dimension of the matrix, and the average random consistency index RI is looked up according to table 4 based on the size of n.
TABLE 4 correspondence of dimension to consistency index
Calculating the consistency ratio CR:
if CR <0.1, the consistency of the judgment matrix can be considered to be acceptable; otherwise, the judgment matrix needs to be corrected. This step is done using the MMULT function of EXCEL. The result of the matrix consistency check of the criterion layer A is as follows: λ max is 3.0536, CR is 0.0628, RI is 0.52, and CR is 0.0516<0.1, so the consistency of the matrix is judged to be acceptable.
(3) The weight of the vegetative population diversity B1 and the weight of the plant growth index B2 of the corresponding element layer of the vegetation response A1 are 1/2.
(4) The weight determination judgment matrix of the microbial community diversity B3, the microbial viability B4 and the culturable microbial number B5 of the element layer corresponding to the soil microbial response A2 is as follows:
the calculation of the characteristic vector W (namely the weight of the criterion layer) of the matrix is consistent with the steps, and the weights of the microbial community diversity B3, the microbial activity B4 and the culturable microbial quantity B5 of the element layer corresponding to the soil microbial response A2 are as follows: WB3 ═ 0.6694, WB4 ═ 0.2426, WB5 ═ 0.0879; the method for testing the matrix consistency of the soil microbial response A2 element layer is consistent with the steps, and the result is that: λ max is 3.0070, CR is 0.0035, RI is 0.52, and CR is 0.0068<0.1, so the consistency of the matrix is judged to be acceptable.
(5) The plant height C2, biomass C3 and coverage C4 of the index layer are uniformly in proportion, and the weight is 1/3.
(6) The weight determination judgment matrix (matrix 5) of the indicator layer bacteria chao1& fragrance concentration diversity index C5, the fungi chao1& fragrance concentration diversity index C6 and the AM fungi chao1& fragrance concentration diversity index C7 is as follows:
the weight calculation of the indicator layer bacteria chao1& fragrance concentration diversity index C5, the fungi chao1& fragrance concentration diversity index C6 and the AM fungi chao1& fragrance concentration diversity index C7 is consistent with the steps: WC 5-0.4887, WC 6-0.4440, WC 7-0.0672; the matrix consistency test method is consistent with the steps, and the result is as follows: λ max is 3.009, CR is 0.0046, RI is 0.52, and CR is 0.0088<0.1, so the consistency of the matrix is acceptable.
(7) The weight determination judgment matrix of the number of culturable microorganisms C9 and AM fungal spore density C10 of the bacteria & actinomycetes & fungi in the index layer is as follows:
C9 C10
C9 1 8
C10 1/8 1
the calculation of the weights of the number of culturable microorganisms C9 and AM fungal spore density C10 for bacteria & actinomycetes & fungi at the indicator layer was consistent with the previous steps: WC 9-0.8123, WC 10-0.1877; the matrix consistency test method is consistent with the steps, and the result is as follows: λ max is 2.2804, CR is 0.2804, RI is 0, and CR is 0<0.1, so the consistency of the matrix is judged to be acceptable.
The fragrance-Weiner index & Simpson index & evenness index C1, enzyme activity index C8, VOR and CVOR combined index C11 of the index layer are all 1.
And after normalization processing is carried out on the measured and calculated indexes, calculating a vegetation response A1 evaluation result, a soil microbial response A2 evaluation result, an ecosystem health response A3 evaluation result and a model overall comprehensive evaluation result after the mining dump is repaired.
And (3) constructing an ecological restoration degree division of the mine dump, and after constructing a comprehensive evaluation system of the ecological restoration of the mine dump, setting an undisturbed primary sample plot outside the mine as a restoration complete Score (SCK) and a naked dump as an unrepaired primary Score (SK), so that the ecological restoration degree division system of the mine dump is conveniently constructed. The repair rate is RX (repair rate), and the evaluation score under different repair conditions is SX (0< SX <1)
The repair rate formula is:
(unit%); and constructing a mining area restoration level evaluation standard after calculation. And comparing to obtain the repairing effect of the refuse dump in the mining area after being treated by different ecological repairing means.
The implementation process and the effect of the method are further explained by taking an open pit refuse dump of a coal field and a peripheral typical grassland area in the Haoyite city of tin forest as research objects:
(1) mine waste dump experimental setup and sample collection:
the victory coal power base is located in the victory sappan in the northwest of the union of the autonomous region of inner Mongolia, the southeast boundary is about 2km away from the urban region, the east longitude is 115 degrees 30 degrees to 116 degrees 26 degrees, and the north latitude is 43 degrees 57 degrees to 44 degrees 14 degrees. And in 7 months in 2017, the ex-mine original sample plot and the mine area dump are respectively sampled by taking a mine pit O as a center. The sampling experiment is mainly carried out on the soil fields of the south row and the north row. Artificial treatment is carried out on the north dump in 2006-2009; the floor area is 107 square meters, wherein the area of a flat plate is 65.5 square meters, the surface of a slope is 35.5 square meters, and the stacking height of a soil discharge field is 60m and is divided into 4 layers. Artificial treatment is carried out in a south dump in 2007-2013; the floor area is 193.43 ten thousand square meters, wherein the area of the flat plate is 183.9 ten thousand square meters, the slope is 69.1 ten thousand square meters, the piling height of the soil discharge field is 75m, and the floor is divided into 5 layers. The main plants in the initial stage of the two rows of soil field treatment are drought-resistant and cold-resistant pioneer plants, such as alfalfa (Medicago sativa), Caragana korshinskii (Caragana korshinski), Elymus dahuricus (Elymus dahuricum), and wheatgrass (Agropyron cristatum). The North electric power victory company mainly treats the south dump, and after artificial treatment is abandoned in the later period of the north dump, the vegetation mainly comprises herbaceous plants such as stipa capillata (Stipacaphilata), Leymus chinensis (Leymus chinensis) and Artemisia desertorum (Artemisia desertorum); the test uses the natural grassland at 2000m (with minimum interference) of the north line enclosed area outside the mine as a standard control test sample plot, and uses a south waste dump and a north waste dump as ecological restoration test sample plots. And 3 sample squares of 1m multiplied by 1m are respectively selected from each sample plot, and the height, the coverage, the density and the plant species of the vegetation are measured and counted. Taking three layers of sample soil samples of 0-10cm, 10-20cm and 20-30cm of each sample plot respectively, placing the samples in a sterile plastic bag, taking the samples back to a laboratory to be tested, taking all layered soil samples on average, mixing the samples, placing the samples in an ice box, taking the samples back to the laboratory, placing the samples in a refrigerator at the temperature of-80 ℃ for storage, and using the samples in a measurement experiment.
TABLE 5 sample plot information
| Sample area | Description of the invention | Sampling point |
| West line enclosure CK | Grassland of extramine | 2000m from pit |
| South dump S | Artificial planting continuous management sample protection area | A top layer S1; south side flat plate S2 |
| North dump N | Abandoning management and sample protection area for artificial planting | Top layer N1 south side flat disc N2 |
| Bare dump K | Vegetation free coverage area | K |
(2) Vegetation response index determination and score calculation
The vegetation response index a1 includes an element layer plant community diversity B1 (index layer fragrance-wiener index & simpson index & uniformity index C1) and a plant growth index B2 (plant height C2, biomass C3, coverage C4), and the measurement and calculation methods are shown in table 1. The weight equality of the plant community diversity B1 and the plant growth index B2 of the corresponding element layer of the vegetation response A1 is defined to be 1/2; the weight of the index layer fragrance-Weina index and Simpson index and uniformity index C1 is 1; the plant height C2, biomass C3 and coverage C4 of the index layer are uniformly in proportion, and the weight is 1/3; and the indexes are normalized, so that grading comparison is facilitated. The measured and calculated vegetation response evaluation scores are shown in table 6:
TABLE 6 evaluation results of vegetation response
In the above, CK encloses the grassland area; s1 the top layer of the south dump; s2, leveling the southern waste dump; n1 north dump top layer; n2 north dump flat pan; k bare dump. Vegetation response evaluation index score: s1> CK > S2> N1> N2> K, the vegetation response score of the south dump (S1, S2) is higher than that of other management modes, the effect is obvious, and the vegetation response score of the top layer S1 of the south dump exceeds that of a natural grassland area enclosed by the sample.
(3) Microbial response index determination and score calculation
The soil microbial response index A2 comprises element layer soil microbial community diversity B3 (comprising index layer bacteria chao1 and aroma diversity index C5, fungi chao1 and aroma diversity index C6, AM fungi chao1 and aroma diversity index C7) and microbial viability B4 (comprising index layer enzyme activity index C8), culturable microbial population B5 (comprising index layer bacteria & actinomycetes & fungi culturable microbial population C9, AM fungal spore density C10), and the measurement and calculation methods are as follows:
(3.1) soil microorganism 16S, 18S and ITS rRNA sequencing analysis, 3 samples of soil of each tested sample are selected, bacteria 16S, AM fungus 18S and other fungus ITS r RNA high-throughput sequencing is carried out, and the sequencing flow is shown as the following figure: (1) DNA extraction method refer to the Kit instructions for DNA Kit (Omega Bio-tek, Norcross, GA, U.S.). The DNA sample obtained was subjected to quality detection by 1% agarose gel electrophoresis detection and spectrophotometry (260nm/280nm optical density ratio). After detection, the samples were stored at 20 ℃ for subsequent experiments.
(3.2) MiSeq sequencing
The DNA samples were sent to Ovessen Gene science and technology, Inc., Beijing and sequenced using Illumina Miseq PE300 high throughput sequencing platform. Amplification primer sequences are shown in table 7, table 8 and table 9:
TABLE 7 primer amplification sequences
TABLE 8 PCR amplification System
TABLE 9 PCR amplification procedure
(3.4) the soil microbial community chao1 and the concentration Weiner index described in the description can be realized by adopting the calculation formula.
(3.5) soil enzyme activity index C8 is calculated by the following steps: the determination of soil catalase, soil sucrase and soil urease is carried out by adopting a corresponding kit of Suzhou Keming biotechnology limited, the operation process is strictly carried out according to the entry of the kit use instruction, and the activity is calculated as follows: the soil urease catalyzes the substrate to produce 1 mu g of NH3-N per gram of soil sample per day and is defined as an enzyme activity unit; the soil sucrase activity is defined as a soil sucrase activity unit by catalyzing 1mg of reducing sugar produced by the substrate per gram of soil per day; determination of soil acid, alkali and neutral phosphatase activity: one unit of enzyme activity is defined as 1mg phenol produced by the catalytic mechanism per gram of soil per day.
(3.6) the number of culturable microorganisms in the soil C9 may be determined by the method described above.
(3.7) the AM fungal spore density C10, determined by the method described above.
(3.8) the weight assignment of the soil microorganism response element layer and the index layer can be determined by the method, so that the consistency of the matrix can be judged to be acceptable. The comprehensive scoring table of the microbial response A2 calculated by the measurement calculation steps (3.2), (3.3), (3.4), (3.5), (3.6) and (3.7) and the hierarchical analysis weight distribution score is shown in Table 10:
TABLE 10 evaluation results of soil microbial response
The highest score of the comprehensive evaluation of the microbial response is the flat plate area of the south dump of the mining area, and the score is higher than that of the control group, which indicates that the microbial response of the south dump is stronger.
(4) Ecological system health response index determination and scoring calculation
The ecosystem health response A3 comprises an element layer ecosystem health index B6(VOR comprehensive index and CVOR comprehensive index C11), and the calculation method adopting soil total carbon as the evaluation index of the grass foundation condition is realized by adopting the mode shown in Table 2. The health evaluation index of the ecological system of the refuse dump in the mining area obtained by experimental sampling, measurement and calculation is shown in table 11:
TABLE 11 calculation of ecosystem VOR and CVOR indices
The ecosystem health index B6, the VOR and the CVOR comprehensive index C11 are all 1, and the ecosystem health comprehensive score obtained through scoring calculation is shown in Table 12:
TABLE 12 ecosystem health composite score
The comprehensive evaluation of the health information of the ecological system is that the top S1 of the south waste dump is highest, the evaluation is higher than that of a control group, and the evaluation of the bare waste dump K is lowest, which is consistent with the evaluation of vegetation response.
(5) Determining the standard layer weight of the mine dump and calculating the comprehensive evaluation result of the mine dump repair
Determining weights of vegetation response A1, soil microbial response A2 and ecosystem health response A3 of the criterion layer A by adopting an analytic hierarchy process, and obtaining influence weights W of A1, A2 and A3 on O, WA1 is 0.3445, WA2 is 0.5469, and WA3 is 0.1085; the result of the matrix consistency check of the criterion layer A is as follows: λ max is 3.0536, CR is 0.0628, RI is 0.52, and CR is 0.0516<0.1, so the consistency of the matrix is judged to be acceptable. The results of the data normalization and the calculation of the comprehensive evaluation are shown in table 13:
TABLE 13 mining site dump ecological remediation comprehensive scoring
The comprehensive scoring of the mining area can obtain: s2, CK, S1, N1, N4 and K, wherein the plate area S2 of the south dump is the best in repairing effect, the integral score of the south dump is higher than that of the north dump, the south dump is always maintained in repairing management, the north dump abandons repairing management, and the mine dump subjected to artificial management and repairing is superior to a mine dump subjected to midway abandoning management in vegetation response, soil microorganism response and ecological system health response; under the condition of no artificial management and restoration, each index score is the lowest, and the vegetation and microbial community succession and the health degree of an ecological system under the condition of artificial management and restoration are superior to natural succession.
(6) Construction of mining dump ecological restoration degree division
After the comprehensive grading system for ecological restoration of the refuse dump in the mining area is constructed, an undisturbed primary sample plot outside the mining area is set as a restoration complete Score (SCK) and a naked refuse dump is set as an unrepaired primary Score (SK), so that a zoning system for ecological restoration degree of the refuse dump is conveniently constructed. The repair rate is RX (repair), and the evaluation score under different repair conditions is SX (0< SX <1)
The repair rate formula is:
(Unit%)
In vegetation response scoring: SCK 0.1711, SK 0; soil microbial response score: SCK-0.1329, SK-0.1136; ecosystem health response score: SCK-0.2122, SK-0.0569; in the composite score: SCK 0.1547, SK 0.0683; the vegetation response restoration rate, the soil microorganism restoration rate, the ecological system health response restoration rate and the comprehensive evaluation restoration rate are obtained according to the formula, and are shown in the table 14:
TABLE 14 ecological restoration rate of mine dump
The ecological restoration parameter setting restoration effect evaluation according to the environmental evaluation is shown in table 15:
TABLE 15 evaluation of ecological restoration degree of refuse dump in mining area
In conclusion, the response repair of the top vegetation of the south dump and the response repair rate of the health of the ecological system and the microbial response repair of the flat plate of the south dump are excellent, and the comprehensive evaluation repair rates of the south dumps S1 and S2 are more than 90%, which shows that the continuous artificial repair management plays a great role, and the repair management abandons midway to cause the delay of succession. There is a need for continuous and effective monitoring and management of mine dump sites.
According to the scheme, when the ecological restoration effect evaluation of the refuse dump in the mining area is carried out, the effects of plants, microorganisms and the health of an ecological system in the restoration evaluation are comprehensively considered, and compared with the conventional restoration evaluation, various indexes of soil microorganisms, particularly AM fungi, are added. Meanwhile, an environmental influence evaluation method such as an analytic hierarchy process, an ecological mechanism method and the like, and mathematical means such as normalization, a weight matrix, consistency inspection and the like are utilized to construct a comprehensive evaluation system model for ecological restoration of the refuse dump in the mining area, so that the huge difference and defect of subjective evaluation are eliminated, the difficulty in mutual comparison of various factors with different properties is reduced as much as possible, and the evaluation accuracy is improved. According to the scheme, the mining area waste dump repairing effect zoning model is constructed and used for evaluating the ecological repairing degree of the mining area waste dump, a decision basis is provided for subsequent management and monitoring, the repairing standard evaluation of the native sample zone and the unrepaired sample zone of each mining area is set, the regional environment difference among different mining areas is eliminated, and the evaluation is more accurate.
The invention further provides a storage medium, wherein program information is stored in the storage medium, and after the program information is read by a computer, the computer executes the method for evaluating the ecological restoration effect of the refuse dump in the mining area.
The invention also provides a mining area waste dump ecological restoration effect evaluation system, as shown in fig. 3, which includes at least one processor 101 and at least one memory 102, at least one memory 102 stores program instructions, and at least one processor 101 reads the program instructions and then executes any one of the above mining area waste dump ecological restoration effect evaluations. The system may further comprise: an input device 103 and an output device 104. The processor 101, memory 102, input device 103, and output device 104 may be communicatively coupled. Memory 102, 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. The processor 101 executes various functional applications and data processing by running the nonvolatile software programs, instructions and modules stored in the memory 102, namely, the evaluation of the ecological remediation effect of the mine waste dump of the above-mentioned method embodiment is realized.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. The method for evaluating the ecological restoration effect of the refuse dump in the mining area is characterized by comprising the following steps of:
acquiring plant community information, microbial community information and ecological system health information in a sample after ecological restoration of a refuse dump in a mining area;
vegetation response information after the ecological restoration of the mine waste dump is obtained according to the plant community information, microbial response information after the ecological restoration of the mine waste dump is obtained according to the microbial community information, and ecological system health response information after the ecological restoration of the mine waste dump is obtained according to the ecological system health information;
and obtaining the ecological restoration effect evaluation result of the mine dump according to the vegetation response information, the microbial response information and the ecological system health response information after the mine dump is ecologically restored.
2. The method for evaluating the ecological restoration effect of the mine waste dump according to claim 1, wherein in the step of obtaining the phytocoenosis information, the microbial community information and the ecosystem health information in the sample after the ecological restoration of the mine waste dump, the phytocoenosis data in the sample after the ecological restoration of the mine waste dump are obtained as follows:
obtaining a concentration-Vera index and a Simpson index and a uniformity index C1 of a plant community in a sample after ecological restoration of a refuse dump in a mining area;
obtaining plant community diversity data B1 after ecological restoration of a mine waste dump according to the Xiangnong-Weina index, the Simpson index and the uniformity index C1;
obtaining the plant height C2, biomass C3 and coverage C4 of a plant community in a sample after ecological restoration of a refuse dump in a mining area;
plant growth data B2 after ecological restoration of the refuse dump in the mining area according to the plant height C2, biomass C3 and coverage C4;
and obtaining the plant community information according to the plant community diversity data B1 and the plant growth data B2.
3. The method for evaluating the ecological restoration effect of the mine waste dump according to claim 2, wherein in the step of obtaining the phytocoenosis information, the microbial community information and the ecosystem health information of the sample after the ecological restoration of the mine waste dump, the microbial community information in the sample after the ecological restoration of the mine waste dump is obtained as follows:
obtaining soil bacteria chao1 and a fragrance concentration diversity index C5, fungi chao1 and a fragrance concentration diversity index C6, and AM fungi chao1 and a fragrance concentration diversity index C7 in a sample after ecological restoration of a refuse dump in a mining area;
obtaining microbial community diversity data B3 in soil after ecological restoration of a mining dump according to the bacteria chao1 and fragrance concentration diversity index C5, the fungi chao1 and fragrance concentration diversity index C6 and the AM fungi chao1 and fragrance concentration diversity index C7;
obtaining an enzyme activity index C8 of soil after ecological restoration of a dumping site in a mining area;
obtaining microbial activity data B4 of soil subjected to ecological restoration of a mine dump according to the enzyme activity index C8;
obtaining the number of culturable microorganisms C9 and AM fungal spore density C10 of bacteria, actinomycetes and fungi in soil after ecological restoration of a refuse dump in a mining area;
obtaining soil culturable microorganism data B5 after ecological restoration of a mine dump according to the bacteria & actinomycetes & fungi culturable microorganism number C9 and the AM fungal spore density C10;
obtaining the microbial community information according to the microbial community diversity data B3, the microbial viability data B4 and the culturable microbial quantity data B5.
4. The method for evaluating the ecological restoration effect of the mine waste dump according to claim 3, wherein in the step of obtaining the plant community information, the microbial community information and the ecosystem health information in the sample after the ecological restoration of the mine waste dump, the ecosystem health information after the ecological restoration of the mine waste dump is obtained as follows:
obtaining a VOR & CVOR comprehensive index C11 in a sample after ecological restoration of a refuse dump in a mining area;
obtaining ecological system health data of the sample after ecological restoration of the refuse dump in the mining area according to the VOR & CVOR comprehensive index C11;
and obtaining the health information of the ecological system according to the health data of the ecological system.
5. The method for evaluating the ecological restoration effect of the refuse dump in a mining area according to any one of claims 1 to 4, further comprising the steps of:
determining a first weight value of each index of a sample after ecological restoration of a refuse dump in a mining area; the vegetation response information, the microbial response information and the ecological system health response information are obtained according to the index values and the first weight value; the indices include: the method comprises the following steps of (1) obtaining a fragrance-Vernah index & Simpson index & uniformity index C1, plant height C2, biomass C3, cover degree C4, bacterial chao1 and fragrance concentration diversity index C5, fungal chao1 and fragrance concentration diversity index C6, AM fungal chao1 and fragrance concentration diversity index C7, enzyme activity index C8, bacterial & actinomycete & fungi culturable microorganism number C9, AM fungal spore density C10 and VOR & CVOR comprehensive index C11;
determining second weight values of the vegetation response information, the microbial response information and the ecosystem health response information; and the evaluation result of the ecological restoration effect of the refuse dump in the mining area is obtained according to the vegetation response information, the microbial response information, the ecological system health response information and the second weight value.
6. The method for evaluating the ecological restoration effect of the mine dump according to claim 5, wherein:
and determining a first weight value and a second weight value of each index of the sample after ecological restoration of the refuse dump in the mining area by an analytic hierarchy process.
7. The method for evaluating the ecological restoration effect of the mine dump according to claim 6, wherein the step of determining the first weight value and the second weight value of each index of the sample after the mine dump is ecologically restored by an analytic hierarchy process comprises the following steps:
constructing a judgment matrix to obtain a group of judgment matrices of indexes of the sample after ecological restoration of the refuse dump in the mining area; obtaining a second judgment matrix of the vegetation response information, the microbial response information and the ecological system health response information after ecological restoration of the refuse dump in the mining area;
a consistency checking step, namely comparing the importance degrees of any two initial weight values in the first judgment matrix to obtain the order of the importance degrees of all the initial weight values in the first judgment matrix; comparing the importance degrees of any two initial weight values in the second judgment matrix to obtain the order of the importance degrees of all the initial weight values in the second judgment matrix;
calculating each weight value, namely multiplying elements in each row in the first judgment matrix according to the rows to obtain a new column vector, opening each component of the new vector by the power of n, and normalizing the column vector to obtain the weight value corresponding to the index; multiplying elements of each line in the second judgment matrix according to the line to obtain a new column vector, opening each component of the new column vector by the power of n, and normalizing the column vector to obtain the weight value corresponding to the information.
8. The method for evaluating the ecological restoration effect of the mine dump according to claim 7, wherein the step of determining the first weight value and the second weight value of each index of the sample after the mine dump is ecologically restored by an analytic hierarchy process further comprises:
and a step of overall consistency check, which is to perform consistency check on the first judgment matrix and the second judgment matrix: calculating a consistency index CI of the first judgment matrix/the second judgment matrix:
wherein, λ max is the maximum eigenvalue, n is the dimension of the matrix, the average random consistency index RI is determined according to the size of n and the consistency ratio CR is calculated:
if CR <0.1, the consistency of the first judgment matrix/the second judgment matrix is passed; otherwise, the first judgment matrix/the second judgment matrix needs to be corrected.
9. A storage medium, wherein program information is stored in the storage medium, and a computer reads the program information and executes the method for evaluating the ecological restoration effect of the mine dump according to any one of claims 1 to 8.
10. An ecological restoration effect evaluation system for a mine dump, which is characterized in that the system comprises at least one processor and at least one memory, wherein program information is stored in at least one memory, and after the program information is read by at least one processor, the ecological restoration effect evaluation system is used for executing the ecological restoration effect evaluation method for the mine dump according to any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011483825.5A CN112561328A (en) | 2020-12-16 | 2020-12-16 | Mining area refuse dump ecological restoration effect evaluation method, storage medium and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011483825.5A CN112561328A (en) | 2020-12-16 | 2020-12-16 | Mining area refuse dump ecological restoration effect evaluation method, storage medium and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112561328A true CN112561328A (en) | 2021-03-26 |
Family
ID=75064001
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011483825.5A Pending CN112561328A (en) | 2020-12-16 | 2020-12-16 | Mining area refuse dump ecological restoration effect evaluation method, storage medium and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112561328A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095719A (en) * | 2021-04-29 | 2021-07-09 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
| CN115825392A (en) * | 2022-12-13 | 2023-03-21 | 云南大学 | Mining area heavy metal contaminated soil ecological restoration technology evaluation method and system |
| CN115885777A (en) * | 2022-09-28 | 2023-04-04 | 四川农业大学 | Ecological restoration method for abandoned lead-zinc mine |
| CN117171677A (en) * | 2023-11-02 | 2023-12-05 | 北京建工环境修复股份有限公司 | Microbial restoration effect evaluation method, system and medium based on decision tree model |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636876A (en) * | 2015-02-13 | 2015-05-20 | 湖南有色金属研究院 | Typical mine area heavy metal pollution soil ecological restoration technology evaluating method and system |
| CN107066823A (en) * | 2017-04-18 | 2017-08-18 | 中山大学 | Based on plant, soil, microorganism heavy-metal contaminated soil repairing effect integrated evaluating method |
-
2020
- 2020-12-16 CN CN202011483825.5A patent/CN112561328A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104636876A (en) * | 2015-02-13 | 2015-05-20 | 湖南有色金属研究院 | Typical mine area heavy metal pollution soil ecological restoration technology evaluating method and system |
| CN107066823A (en) * | 2017-04-18 | 2017-08-18 | 中山大学 | Based on plant, soil, microorganism heavy-metal contaminated soil repairing effect integrated evaluating method |
Non-Patent Citations (2)
| Title |
|---|
| 莫莉: "露天煤矿开采对典型草原土壤环境及生态***稳定性的影响", 《中国优秀博硕士学位论文全文数据库(硕士)基础科学辑》, no. 9, 15 September 2019 (2019-09-15), pages 008 - 54 * |
| 马芳: "平朔安太堡露天矿人工重建生态***健康评价", 《山西水土保持科技》, no. 1, 25 March 2015 (2015-03-25), pages 20 - 23 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113095719A (en) * | 2021-04-29 | 2021-07-09 | 中国科学院水生生物研究所 | Lake ecosystem health evaluation and restoration method |
| CN115885777A (en) * | 2022-09-28 | 2023-04-04 | 四川农业大学 | Ecological restoration method for abandoned lead-zinc mine |
| CN115825392A (en) * | 2022-12-13 | 2023-03-21 | 云南大学 | Mining area heavy metal contaminated soil ecological restoration technology evaluation method and system |
| CN115825392B (en) * | 2022-12-13 | 2024-03-26 | 云南大学 | Evaluation method and system for ecological restoration technology of mining area heavy metal contaminated soil |
| CN117171677A (en) * | 2023-11-02 | 2023-12-05 | 北京建工环境修复股份有限公司 | Microbial restoration effect evaluation method, system and medium based on decision tree model |
| CN117171677B (en) * | 2023-11-02 | 2024-02-02 | 北京建工环境修复股份有限公司 | Microbial restoration effect evaluation method, system and medium based on decision tree model |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112561328A (en) | Mining area refuse dump ecological restoration effect evaluation method, storage medium and system | |
| Löbel et al. | Species richness of vascular plants, bryophytes and lichens in dry grasslands: the effects of environment, landscape structure and competition | |
| Boone et al. | Soil sampling, preparation, archiving, and quality control | |
| Ranelli et al. | Biotic and abiotic predictors of fungal colonization in grasses of the Colorado Rockies | |
| Belyea et al. | Temporal scale and the accumulation of peat in a Sphagnum bog | |
| Zobeck et al. | Comparison of two soil quality indexes to evaluate cropping systems in northern Colorado | |
| CN109829534B (en) | Method, device and system for evaluating community stability of opencast coal mine refuse dump | |
| Bruelheide et al. | Correspondence of the fine-scale spatial variation in soil chemistry and the herb layer vegetation in beech forests | |
| Starry | The comparative effects of three Sedum species on green roof stormwater retention | |
| CN111553588B (en) | Method for analyzing heavy metal pollution characteristics and environmental influence factors of mining area soil | |
| CN115885777A (en) | Ecological restoration method for abandoned lead-zinc mine | |
| Li et al. | Environmental changes drive soil microbial community assembly across arid alpine grasslands on the Qinghai-Tibetan Plateau, China | |
| CN104778359A (en) | Method for evaluating health condition and human-induced restoration effect of mangrove forest and application thereof | |
| CN114118647A (en) | Comprehensive evaluation method for vegetation self-repairing capability of coal mining subsidence area | |
| Sheng et al. | Biogeography of arbuscular mycorrhizal fungal communities in saline ecosystems of northern China | |
| Arenas et al. | Within-population genotype–Soil interactions drive phenotypic variation in a recovering fir forest from central Mexico | |
| Zhang et al. | Conversion of grassland to abandoned land and afforested land alters soil bacterial and fungal communities on the Loess Plateau | |
| Fullen et al. | Grass ley set‐aside and soil organic matter dynamics on sandy soils in Shropshire, UK | |
| Adamchuk et al. | Proximal sensing of soil biological activity for precision agriculture | |
| CN114118648A (en) | Method for measuring vegetation self-repairing capability of coal mining subsidence area in windy sediment area | |
| Conrad et al. | A test of CoupModel for assessing the nitrogen leaching in grassland systems with two different fertilization levels | |
| Radford_Smith et al. | An ecophysiological basis for the assembly of Australian rainforest tree communities | |
| CN111626580A (en) | Method for evaluating accumulative influence of highways on grassland ecological sensitive areas | |
| Terekhova | The importance of mycological studies for soil quality control | |
| Gay et al. | Climate mitigation potential and soil microbial response of cyanobacteria‐fertilized bioenergy crops in a cool semi‐arid cropland |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210326 |
|
| RJ01 | Rejection of invention patent application after publication |