Evaluation of disturbance by coal mining to groundwater and surface ecosystem

Author:

Zhang Kai1ORCID,Zhao Jiangang2,Li Xiaonan2,Zheng Xinhui2,Wang Yajing2,Ku Gaoyani2

Affiliation:

1. China University of Mining and Technology - Beijing Campus

2. CUMT - Beijing Campus: China University of Mining and Technology - Beijing

Abstract

Abstract Coal mining disturbs surface ecosystems in coal mining subsidence areas. Based on the groundwater-surface composite ecosystem analysis, we constructed an ecological disturbance evaluation index system (18 indices) in a coal mining subsidence area using the analytic hierarchy process (AHP). Taking the Nalinhe mining area in Wushen Banner, China, in 2018-2020 as an example, the ecological disturbance degree and the weight and correlation of different indicators were determined by implementing fuzzy mathematics, weighting method, and correlation analysis method. After two years of mining, ecological disturbance was the highest in the study area (Grade III) and the lowest in the non-mining area (Grade I). The ecological disturbance in the coal mining subsidence area continued increasing over two years due to coal mining. The ecological disturbance by coal mining cannot be completely mitigated by relying on the self-repair capability of the environment. Coal mining not only directly interfered with the environment, but also strengthened the connection of different ecological indicators, forming multiple ecological disturbance chains such as "coal mining–surface subsidence–soil chemical factors," "natural climate–soil physical factors–soil chemical factors," and "mining intensity–mining thickness–burial depth and mining thickness ratio”; the last disturbance chain increased the ecological disturbance caused by resource mining. The disturbance chain "coal mining–surface subsidence–soil chemical factors" plays a leading role in controlling the ecological disturbance of soil chemical factors. The disturbance chain that controls the ecological component factors in the region remains unknown; however, the analysis of the results reveals that ecological component factors is the most important factor that hinders the restoration of the ecological state in the coal mining subsidence area. This study is of great significance for ecological restoration and governance of coal mining subsidence areas.

Publisher

Research Square Platform LLC

Reference49 articles.

1. Anonymous (2005) Determination of soil available potassium and slowly available potassium. Domestic industry standard industry standard agricultural CN-NY

2. Anonymous (2006a) Soil testing - part 4: determination of soil capacity. Domestic-Industry Standards-Industry Standards-Agriculture CN-NY

3. Anonymous (2006b) Soil testing. Part 6: Determination of soil organic matter. Domestic-Industry Standards-Industry Standards-Agriculture CN-NY

4. Anonymous (2014) Soil testing Part 7: Determination of available phosphorus in soil. Domestic industry standard industry standard agricultural CN-NY

5. Chen CH (2020) : A Novel Multi-Criteria Decision-Making Model for Building Material Supplier Selection Based on Entropy-AHP Weighted TOPSIS. Entropy (Basel) 22.https://doi.org/10.3390/e22020259

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3