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Method for measuring self-repairing capability of vegetation in coal mining subsidence area of aeolian sand area

A self-repairing technology for subsidence areas, which is applied in the direction of instruments, data processing applications, resources, etc., can solve problems that do not involve the self-repairing ability of vegetation, and achieve scientific and reasonable evaluation methods, comprehensive evaluation, and accurate evaluation results

Pending Publication Date: 2022-03-01
SHENHUA SHENDONG COAL GRP +2
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The above literatures only evaluate the self-healing ability of land damage, and do not involve the self-healing ability of vegetation, and the evaluation indicators also use absolute values

Method used

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  • Method for measuring self-repairing capability of vegetation in coal mining subsidence area of aeolian sand area
  • Method for measuring self-repairing capability of vegetation in coal mining subsidence area of aeolian sand area
  • Method for measuring self-repairing capability of vegetation in coal mining subsidence area of aeolian sand area

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Experimental program
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Embodiment 1

[0057] 1. Determine the evaluation object

[0058] A super-large working face in Shendong mining area is selected to measure the vegetation self-healing ability in the coal mining subsidence area. The basic conditions are as follows:

[0059] (1) The total length of the coal mining subsidence area is about 3500m, and the inclination length is 320m;

[0060] (2) The annual average temperature is 7.3°C, the highest is 38°C, and the lowest is -28°C; the average annual precipitation is 368.2mm, mostly concentrated in the three months of July, August and September; the average annual evaporation is 2111.2mm; the annual sunshine hours are 3000h; The average temperature in 2019 is 7.5℃, the average annual precipitation is 370.2mm, and the annual sunshine hours are 2950h;

[0061] (3) The additional slope of the collapsed area is 0.8-1.0°, and the width of the ground fissure is 100mm;

[0062] (4) The average soil water content in the unmined affected area is 8.0, the soil pH is 7.9...

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Abstract

The invention provides a method for measuring the self-repairing capability of vegetation in a coal mining subsidence area of an aeolian sand area. According to the method, a coal mining influence factor damage degree evaluation model is constructed, and the damage condition of each influence factor after disturbance is evaluated. And according to the proportion of the relative value between the measured value and the original value of each influence index in the original value after the vegetation ecosystem of the coal mining subsidence area is damaged, determining the similarity between the state of each influence index after damage and the original state. And evaluating the difference degree between the measured value and the original background value of each influence factor by integrating related literatures and expert scoring results.

Description

technical field [0001] The invention relates to the technical field of ecological protection and restoration, in particular to a method for measuring the self-repairing ability of vegetation in coal mining subsidence areas in aeolian sand areas. Background technique [0002] The Nanjing Institute of Environmental Science of the Ministry of Environmental Protection Li Haidong et al. proposed a method for evaluating the vegetation restoration potential of alpine sandy land. The analytic hierarchy process and fuzzy comprehensive evaluation method are used to comprehensively evaluate and calculate the restoration potential of different types of sandy land vegetation. The overall evaluation of the pros and cons of each evaluation factor and the vegetation restoration potential; Wang Ying and Li Daoliang of China Agricultural University established an evaluation model for the vegetation restoration potential of the coal mine abandoned land using the fuzzy comprehensive evaluation-g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/26
CPCG06Q10/06393G06Q50/26
Inventor 杨英明张凯郭洋楠赵勇强
Owner SHENHUA SHENDONG COAL GRP
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