Construction and Implementation of Evaluation System for Ecological Restoration Effectiveness of Mines in Northern Shaanxi Coal Base

LIN Nan; CHEN Ying; MA Lu; LI Congcong; LIU Junrong; ZHANG Xuqian

doi:10.12401/j.nwg.2023085

2023 Vol. 56, No. 3

Article Contents

Article navigation > Northwestern Geology > 2023 > 56(3): 89-97

Next Article Previous Article

LIN Nan, CHEN Ying, MA Lu, LI Congcong, LIU Junrong, ZHANG Xuqian. 2023. Construction and Implementation of Evaluation System for Ecological Restoration Effectiveness of Mines in Northern Shaanxi Coal Base. Northwestern Geology, 56(3): 89-97. doi: 10.12401/j.nwg.2023085

Citation:

LIN Nan, CHEN Ying, MA Lu, LI Congcong, LIU Junrong, ZHANG Xuqian. 2023. Construction and Implementation of Evaluation System for Ecological Restoration Effectiveness of Mines in Northern Shaanxi Coal Base. Northwestern Geology, 56(3): 89-97. doi: 10.12401/j.nwg.2023085

Construction and Implementation of Evaluation System for Ecological Restoration Effectiveness of Mines in Northern Shaanxi Coal Base

Xi’an Meihang Remote Sensing Information Co., Ltd., Xi’an 710199, Shaanxi, China

Received Date: 31 December 2022

Revised Date: 25 April 2023

Publish Date: 20 June 2023

Abstract

Abstract

Coal resource is an important pillar of social and economic development in northern Shaanxi coal base. Scientific planning of mine ecological restoration is a key way to maintain ecological security and energy security in northern Shaanxi, and the evaluation of mine ecological restoration is an indispensable part, which is used to show the benefits of local ecological environment management and natural resource protection. Based on the workflow of mine ecological restoration, through remote sensing monitoring, Internet of things site monitoring, artificial field investigation and sampling methods, and based on the multi−source monitoring data of mine ecological environment, this paper starts from three categories and twelve indicators of ecological, social and economic benefits, a suitable evaluation system for the mine ecological restoration effectiveness in the northern Shaanxi coal base has been constructed. By using remote sensing, big data, cloud computing and other information technologies, a mine ecological restoration supervision platform has been established to achieve intelligent evaluation of restoration effectiveness. The aim is to establish an efficient and reasonable evaluation system for ecological restoration effectiveness of mines , comprehensively demonstrating the comprehensive benefits of mine ecological restoration in northern Shaanxi coal base, and provide theoretical guidance and technical support for mine ecological restoration project supervision.
- mine ecological restoration /
- northern Shaanxi coal base /
- mine monitoring /
- effectiveness evaluation system /
- supervision platform

FullText(HTML)

References

[1]	董军, 王慧, 秦胜, 等. 兖州煤田采矿影响下水环境演变研究[J]. 中国矿业, 2020, 29(06): 127-132 doi: 10.12075/j.issn.1004-4051.2020.06.014 CrossRef Google Scholar DONG Jun, WANG Hui, QIN Sheng, et al. Evolution of water environment under the influence of mining in Yanzhou coalfield[J]. China Mining Magazine, 2020, 29(06): 127-132. doi: 10.12075/j.issn.1004-4051.2020.06.014 CrossRef Google Scholar
[2]	范德芹, 赵学胜, 朱文泉, 等. 植物物候遥感监测精度影响因素研究综述[J]. 地理科学进展, 2016, 35(03): 304-319 doi: 10.18306/dlkxjz.2016.03.005 CrossRef Google Scholar FAN Deiqin, ZHAO Xuesheng, ZHU Wenquan, et al. Review of influencing factors of accuracy of plant phenology monitoring based on remote sensing data[J]. Progress in Geography, 2016, 35(3): 304-319. doi: 10.18306/dlkxjz.2016.03.005 CrossRef Google Scholar
[3]	付慧, 王萍. 矿区水体变化遥感监测方法研究[J]. 测绘与空间地理信息, 2017, 40(07): 95-98+103 doi: 10.3969/j.issn.1672-5867.2017.07.030 CrossRef Google Scholar FU Hui, WANG Ping. Study on Monitoring Water Change in Mining Area Based on Remote Sensing Method[J]. Geomatics&Spatial Information Technology, 2017, 40(07): 95-98+103. doi: 10.3969/j.issn.1672-5867.2017.07.030 CrossRef Google Scholar
[4]	高俊华, 邹联学, 龙欢, 等. 基于遥感动态监测的吉林省矿山地质环境及生态修复变化特征分析[J]. 自然资源遥感, 2022, 34(3): 240-248 Google Scholar GAO Junhua, ZOU Lianxue, LONG Huan, et al. Analysis on characteristics of mine geological environment and ecological restoration changes in Jilin Province based on dynamic remote sensing monitoring[J]. Remote Sensing for Natural Resources, 2022, 34(3): 240-248. Google Scholar
[5]	蒋卫国, 武建军, 顾磊, 等. 基于遥感技术的乌达煤田火区变化监测[J]. 煤炭学报, 2010, 35(06): 964-968 doi: 10.13225/j.cnki.jccs.2010.06.028 CrossRef Google Scholar JIANG Weiguo, WU Jianjun, GU Lei, et al. Change monitoring in Wuda coalfield fire area based on remote sensing[J]. Journal of China Coal Society, 2010, 35(06): 964-968. doi: 10.13225/j.cnki.jccs.2010.06.028 CrossRef Google Scholar
[6]	罗明, 于恩逸, 周妍, 等. 山水林田湖草生态保护修复试点工程布局及技术策略[J]. 生态学报, 2019, 39(23): 8692-8701 Google Scholar LUO Ming, YU Enyi ZHOU Yan, et al. Distribution and technical strategies of ecological protection and restoration projects for mountains-rivers-forests-farmlands-lakes-grasslands[J]. Acta Ecologica Sinica, 2019, 39(23): 8692-8701. Google Scholar
[7]	强建华. 陕西省重点成矿带与矿集区矿山地质环境遥感监测研究[J]. 西北地质, 2013, 46(3): 203-211 doi: 10.3969/j.issn.1009-6248.2013.03.021 CrossRef Google Scholar QIANG Jianhua. Study of remote sensing monitoring concerning geological environment of major metallogenic belt and mining concentrations in Shaanxi province[J]. Northwestern Geology, 2013, 46(3): 203-211. doi: 10.3969/j.issn.1009-6248.2013.03.021 CrossRef Google Scholar
[8]	强建华. 遥感技术在新疆南部地区矿山环境调查及生态修复中的应用[J]. 西北地质, 2021, 54(3): 253-258 doi: 10.19751/j.cnki.61-1149/p.2021.03.023 CrossRef Google Scholar QIANG Jianhua. Application of Remote Sensing Techniques in Mine Environment Investigation and Ecological Restoration in Southern Xinjiang[J]. Northwestern Geology, 2021, 54(3): 253-258. doi: 10.19751/j.cnki.61-1149/p.2021.03.023 CrossRef Google Scholar
[9]	史怀昱, 陈健. 新时期城市空间管控体系构建与榆林实践[J]. 规划师, 2016, 32(03): 120-124 doi: 10.3969/j.issn.1006-0022.2016.03.019 CrossRef Google Scholar SHI Huaiyu, CHEN Jian. Urban space governance system in the new era, Yulin[J]. Planners, 2016, 32(03): 120-124. doi: 10.3969/j.issn.1006-0022.2016.03.019 CrossRef Google Scholar
[10]	王国飞. 无人机遥感监测在煤矿地质灾害调查的研究与应用[J]. 山西焦煤科技, 2021, 45(02): 20-22 doi: 10.3969/j.issn.1672-0652.2021.02.006 CrossRef Google Scholar WANG Guofei. Research and application of unmanned aerial vehicle remote sensing monitoring in coal mine geological disaster investigation[J]. Shanxi Coking Coal Science&Technology, 2021, 45(02): 20-22. doi: 10.3969/j.issn.1672-0652.2021.02.006 CrossRef Google Scholar
[11]	王力, 黄妮, 牛铮, 等. 山水林田湖草生态保护修复项目遥感监测及辅助绩效评价[J]. 遥感学报, 2022, 26(08): 1547-1561 Google Scholar WANG Li, HUANG Ni, NIU Zheng, et al. Remote sensing technology for monitoring and auxiliary performance evaluation of ecological protection and restoration projects for mountains, rivers, forests, farmlands, lakes, and grasslands[J]. National Remote Sensing Bulletin, 2022, 26(08): 1547-1561. Google Scholar
[12]	王楠, 汪桂生, 张震. 高分遥感影像下的大通废弃煤矿区生态修复林淹水胁迫灾情信息提取[J]. 测绘通报, 2018, 496(07): 13-17+47 doi: 10.13474/j.cnki.11-2246.2018.0201 CrossRef Google Scholar WANG Nan, WANG Guisheng, ZHANG Zhen. Monitoring of waterlogging stress disaster of ecological restoration forest using high resolution remote sensing data in the Datong abandoned coal mine[J]. Bulletin of Surveying and Mapping, 2018, 496(07): 13-17+47. doi: 10.13474/j.cnki.11-2246.2018.0201 CrossRef Google Scholar
[13]	王玺森, 王迪, 雷秋良, 等. 内陆地表水体水质遥感监测研究进展[J]. 中国农业信息, 2022, 34(02): 1-15 Google Scholar WANG Xisen, WANG Di, LEI Qiuliang, et al. Advances in the inland surface water quality monitoring by remotely sensed imagery[J]. China Agricultural Informatics, 2022, 34(02): 1-15. Google Scholar
[14]	王燕, 邹长新, 林乃峰, 等. 基于生态监管的生态保护修复工程实施成效评估指标体系[J]. 生态学报, 2023, 43(01): 118-127 Google Scholar WANG Yan, Zou Changxin, LIN Naifeng, et al. Ecological supervision oriented evaluation indicator system for performance assessment of ecological protection and restoration project implementation[J]. Acta Ecologica Sinica, 2023, 43(01): 118-127. Google Scholar
[15]	徐友宁, 何芳, 张江华, 等. 西北地区矿山环境地质问题及动态数据库建设[J]. 西北地质, 2002, 35(04): 154-166 doi: 10.3969/j.issn.1009-6248.2002.04.011 CrossRef Google Scholar XU Youning, HE Fang, ZHANG Jianghua, et al. The problems of environment geology and database for mining in Northwestern China[J]. Northwestern Geology, 2002, 35(04): 154-166. doi: 10.3969/j.issn.1009-6248.2002.04.011 CrossRef Google Scholar
[16]	徐友宁, 袁汉春, 何芳, 等. 矿山环境地质问题综合评价指标体系[J]. 地质通报, 2003, 22(10): 829-832 doi: 10.3969/j.issn.1671-2552.2003.10.013 CrossRef Google Scholar XU Youning, YUAN Hanchun, HE Fang, et al. Comprehensive evaluation index system of the environmental geological problems of mines[J]. Geological Bulletin of China, 2003, 22(10): 829-832. doi: 10.3969/j.issn.1671-2552.2003.10.013 CrossRef Google Scholar
[17]	徐友宁, 张江华, 何芳, 等. 西北地区矿山地质环境调查与防治研究[J]. 西北地质, 2022, 55(03): 129-139 Google Scholar XU Youning, ZHANG Jianghua, HE Fang, et al. Investigation and preventive research of mine geological environment in Northwest China[J]. Northwestern Geology, 2022, 55(03): 129-139. Google Scholar
[18]	张成业, 李军, 雷少刚, 等. 矿区生态环境定量遥感监测研究进展与展望[J]. 金属矿山, 2022, 51(3): 1-27 Google Scholar ZHANG Chengye, LI Jun, LEI Shaogang, et al. Progress and prospect of the quantitative remote sensing for monitoring the eco-environment in mining areas[J]. Metal Mine, 2022, 51(3): 1-27. Google Scholar
[19]	张志, 杨金中, 张高华, 等. 生态文明视角下的湖北省东部矿山地质环境遥感调查与分析[J]. 中国地质调查, 2016, 3(5): 21-27 doi: 10.19388/j.zgdzdc.2016.05.004 CrossRef Google Scholar ZHANG Zhi, YANG Jinzhong, ZHANG Gaohua, et al. Remote sensing survey and analysis of mine geological environment in eastern Hubei Province under the perspective of ecological civilization[J]. Geological Survey of China, 2016, 3(5): 21-27. doi: 10.19388/j.zgdzdc.2016.05.004 CrossRef Google Scholar
[20]	CAO Zhigang, DUAN Hongtao, Feng Lian, et al. Climate-and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales[J]. Remote Sensing of Environment An Interdisciplinary Journal, 2017, 192, 98-113. doi: 10.1016/j.rse.2017.02.007 CrossRef Google Scholar
[21]	DU Mengmeng, LI Minzan, NOGUCHI Noboru, et al. Retrieval of Fractional Vegetation Cover from Remote Sensing Image of Unmanned Aerial Vehicle Based on Mixed Pixel Decomposition Method[J]. Drones, 2023, (1): 43. Google Scholar
[22]	Hu Xiao, Li Xinju. Information extraction of subsided cultivated land in high-groundwater-level coal mines based on unmanned aerial vehicle visible bands[J]. Environmental Earth Sciences, 2019, 78. Google Scholar
[23]	MCKENNA Phillip B, LECHNER Alex M, PHINN Stuart, et al. Remote Sensing of Mine Site Rehabilitation for Ecological Outcomes: A Global Systematic Review[J]. Remote Sensing, 2020, 12(21): 3535. doi: 10.3390/rs12213535 CrossRef Google Scholar
[24]	YAO Kaixuan, Abudureheman HALIKE, CHEN Limei, et al. Spatiotemporal changes of eco-environmental quality based on remote sensing-based ecological index in the Hotan Oasis, Xinjiang[J]. Journal of Arid Land, 2022, 14(03): 262-283. doi: 10.1007/s40333-022-0011-2 CrossRef Google Scholar