PDF Download

[1]Liu Jiansong,Cai Yinfei,Wang Yaru,et al.Analysis of spatiotemporal characteristics and driving factors of ecological vulnerability in a typical coal mining area on the Loess Plateau[J].Research of Soil and Water Conservation,2025,32(04):217-226.[doi:10.13869/j.cnki.rswc.2025.04.037]

Copy

Analysis of spatiotemporal characteristics and driving factors of ecological vulnerability in a typical coal mining area on the Loess Plateau

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 32 Number of periods: 2025 04 Page number: 217-226 Column: Public date: 2025-07-10

Title:: Analysis of spatiotemporal characteristics and driving factors of ecological vulnerability in a typical coal mining area on the Loess Plateau

Author(s):: Liu Jiansong¹，Cai Yinfei¹，Wang Yaru¹，Hu Haifeng¹，Li Xiaojing²; 1.College of Geoscience and Survey Engineering, Taiyuan University of Technology, Taiyuan 030024, China;2.School of Public Administration, Shanxi University of Finance and Economics, Taiyuan 030031, China

Keywords:: ecological vulnerability; the Loess Plateau mining area; mining influence zone; mining subsidence; driving factors; mediating effect

CLC:: X826

DOI:: 10.13869/j.cnki.rswc.2025.04.037

Abstract:: [Objective] The aims of this study are to reveal the spatiotemporal characteristics and driving factors of ecological vulnerability in mining areas, and provide scientific reference for environmental protection policy formulation and ecological restoration planning in mining areas. [Methods] Xishan Coalfield, a typical mining area on the Loess Plateau, was selected as the study area. The impact of coal mining was used as the basis for zoning and quantified as an assessment index, and the spatiotemporal characteristics of ecological vulnerability as well as the direct and indirect drivers were analyzed by using the composite index method, geographical detector, and mediating effect model. [Results](1) During the study period, the ecological vulnerability decreased first and then increased, with the standardized ecological vulnerability index(SEVI) decreasing first from 0.375 4 to 0.326 0, and then increasing to 0.333 6, showing an overall significant decrease. Spatially, a distribution pattern was‘low in the middle, high in the north and southeast’, with a high spatial coupling with human activities and coal mining.(2) Vegetation coverage and gross primary productivity were the main driving factors, with q values of 0.492 and 0.500, respectively. The driving force of multi-factor synergy was greater than that of single factor, and the main driving factors played a mediating role between coal mining subsidence and ecological vulnerability.(3) The SEVI of each zone was： direct mining zone(0.354 2)>natural ecological zone(0.333 8)>mining buffer zone(0.333 3), and mining exacerbated ecological vulnerability. [Conclusion] The ecological vulnerability of Xishan Coalfield decreased overall during the study period. Vegetation coverage and gross primary productivity were the main driving forces, playing a mediating role between coal mining subsidence and ecological vulnerability. Coal mining restricts the restoration of ecological environment in mining areas.

References:: [1] 戴宝华，王德亮，曹勇，等.2023年中国能源行业回顾及2024年展望[J].当代石油石化，2024，32（1）：1-7.Dai B H，Wang D L，Cao Y，et al. China′s energy industry：2023 review and 2024 prospect[J]. Petroleum& Petrochemical Today，2024，32（1）：1-7.
[2] Ghabraie B，Ren G，Barbato J，et al. A predictive methodology for multi-seam mining induced subsidence[J]. International Journal of Rock Mechanics and Mining Sciences，2017，93：280-294.
[3] Zeng Y F，Wu Q，Mei A S，et al. Hydrogeochemical process and coal mining-motivated effect on the hydrochemistry for the groundwater system in mining area of Western China[J]. Journal of Geochemical Exploration，2024，263：107516.
[4] Mi J X，Yang Y J，Hou H P，et al. Impacts of ground fissures on soil properties in an underground mining area on the Loess Plateau，China[J]. Land，2022，11（2）：162.
[5] Boori M S，Choudhary K，Paringer R，et al. Spatiotemporal ecological vulnerability analysis with statistical correlation based on satellite remote sensing in Samara，Russia[J]. Journal of Environmental Management，2021，285：112138.
[6] Ji J W，Wang S X，Zhou Y，et al. Studying the eco-environmental quality variations of Jing-Jin-ji urban agglomeration and its driving factors in different ecosystem service regions from 2001 to 2015[J]. IEEE Access，2020，8：154940-154952.
[7] Wang Y，Ding Q，Zhuang D F. An eco-city evaluation method based on spatial analysis technology：a case study of Jiangsu Province，China[J]. Ecological Indicators，2015，58：37-46.
[8] Yang Y J，Ren X F，Zhang S L，et al. Incorporating ecological vulnerability assessment into rehabilitation planning for a post-mining area[J]. Environmental Earth Sciences，2017，76（6）：245.
[9] Lv X J，Xiao W，Zhao Y L，et al. Drivers of spatio-temporal ecological vulnerability in an arid，coal mining region in Western China[J]. Ecological Indicators，2019，106：105475.
[10] Karan S K，Samadder S R，Singh V. Groundwater vulnerability assessment in degraded coal mining areas using the AHP-Modified DRASTIC model[J]. Land Degradation & Development，2018，29（8）：2351-2365.
[11] Sun H H，Gao S，Liu J F. Vulnerability assessment and impact factor analysis of marine economic system based on fuzzy comprehensive evaluation model[J]. Acta Ecologica Sinica，2022，42（4）：374-382.
[12] 贾玉娜，孟茜燕，白洋，等.基于多时相SRP模型的滦州市矿区生态脆弱性评价研究[J].地质与勘探，2024，60（5）：1021-1029. Jia Y N，Meng X Y，Bai Y，et al. Ecological vulnerability evaluation of the mining area in Luanzhou City based on multi-temporal SRP model[J]. Geology and Exploration，2024，60（5）：1021-1029.
[13] 李云帆，李彩霞，贾翔，等.乌梁素海流域生态脆弱性时空变化及其成因分析[J].地球信息科学学报，2023，25（10）：2039-2054. Li Y F，Li C X，Jia X，et al. Spatiotemporal changes and causes of ecological vulnerability in ulansuhai basin [J]. Journal of Geo-Information Science，2023，25（10）：2039-2054.
[14] Wu J Y，Liu H，Li T，et al. Evaluating the ecological vulnerability of Chongqing using deep learning[J]. Environmental Science and Pollution Research International，2023，30（36）：86365-86379.
[15] 全占军，李远，李俊生，等.采煤矿区的生态脆弱性：以内蒙古锡林郭勒草原胜利煤田为例[J].应用生态学报，2013，24（6）：1729-1738. Quan Z J，Li Y，Li J S，et al. Ecological vulnerability of coal mining area：a case study of Shengli Coalfield in Xilinguole of Inner Mongolia，China[J]. Chinese Journal of Applied Ecology，2013，24（6）：1729-1738.
[16] 齐丹宁，胡政军，赵尚民.山西省西山煤田长时间序列NDVI时空变化趋势及对气候响应[J].测绘通报，2021（9）：98-102. Qi D N，Hu Z J，Zhao S M. Long-term NDVI spatio-temporal variation trend and its response to climate in Xishan coalfield，Shanxi province[J]. Bulletin of Surveying and Mapping，2021（9）：98-102.
[17] 范仁雪，朱先进，陈智，等.2000—2020年中国陆地生态系统年总初级生产力数据集[J].中国科学数据，2023，8（2）：160-172. Fan R X，Zhu X J，Chen Z，et al. A dataset of annual gross primary productivity in China′s terrestrial ecosystems during 2000-2020 [J]. China Scientific Data，2023，8（2）：160-172.
[18] Li M Y，Liang D，Xia J，et al. Evaluation of water conservation function of Danjiang River Basin in Qinling Mountains，China based on InVEST model[J]. Journal of Environmental Management，2021，286：112212.
[19] 武帅，田冰，顾世杰，等.植被覆盖度对生态脆弱性动态演变的影响：以河北省张家口为例[J].水土保持研究，2024，31（2）：310-320. Wu S，Tian B，Gu S J，et al. The influence of vegetation coverage on the dynamic evolution of ecological vulnerability：A case study of Zhangjiakou，Hebei Province [J]. Research of Soil and Water Conservation，2024，31（2）：310-320.
[20] 王熙，李建松，刘权毅，等.基于SRP模型的新安江流域生态脆弱性评价[J].水生态学杂志，2024，45（2）：1-9. Wang X，Li J S，Liu Q Y，et al. Evaluation of ecological vulnerability in xin’anjiang river basin based on SRP modelling[J]. Journal of Hydroecology，2024，45（2）：1-9.
[21] He L，Shen J，Zhang Y. Ecological vulnerability assessment for ecological conservation and environmental management[J]. Journal of Environmental Management，2018，206：1115-1125.
[22] 林金煌，胡国建，祁新华，等.闽三角城市群生态环境脆弱性及其驱动力[J].生态学报，2018，38（12）：4155-4166. Lin J H，Hu G J，Qi X H，et al. Ecological environmental vulnerability and its driving forces in urban agglomeration in the Fujian Delta region[J]. Acta Ecologica Sinica，2018，38（12）：4155-4166.
[23] 王劲峰，徐成东.地理探测器：原理与展望[J].地理学报，2017，72（1）：116-134. Wang J F，Xu C D. Geodetector：Principle and prospective[J]. Acta Geographica Sinica，2017，72（1）：116-134.
[24] Song Y Z，Wang J F，Ge Y，et al. An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis：cases with different types of spatial data[J]. GIScience & Remote Sensing，2020，57（5）：593-610.
[25] 温忠麟，叶宝娟.中介效应分析：方法和模型发展[J].心理科学进展，2014，22（5）：731-745. Wen Z L，Ye B J. Analyses of mediating effects：The development of methods and models[J]. Advances in Psychological Science，2014，22（5）：731-745.
[26] Yang X T，Bai X，Yao W Q，et al. Spatioemporal dynamics and driving forces of soil organic carbon changes in an arid coal mining area of China investigated based on remote sensing techniques[J]. Ecological Indicators，2024，158：111453.
[27] 胡海峰，廉旭刚，蔡音飞，等.山西黄土丘陵采煤沉陷区生态环境破坏与修复研究[J].煤炭科学技术，2020，48（4）：70-79. Hu H F，Lian X G，Cai Y F，et al. Study on ecological environment damage and restoration for coal mining-subsided area in loess hilly area of Shanxi Province[J]. Coal Science and Technology，2020，48（4）：70-79.
[28] 张良侠，樊江文，张海燕，等.黄土高原地区生态脆弱性时空变化及其驱动因子分析[J].环境科学，2022，43（9）：4902-4910. Zhang L X，Fan J W，Zhang H Y，et al. Spatial-temporal variations and their driving forces of the ecological vulnerability in the Loess Plateau[J]. Environmental Science，2022，43（9）：4902-4910.
[29] 胡振琪，肖武，赵艳玲.再论煤矿区生态环境“边采边复”[J].煤炭学报，2020，45（1）：351-359. Hu Z Q，Xiao W，Zhao Y L. Re-discussion on coal mine eco-environment concurrent mining and reclamation[J]. Journal of China Coal Society，2020，45（1）：351-359.
[30] 胡振琪，李根生，袁冬竹.东部煤粮复合区采煤沉陷地边采边复时机[J].煤炭学报，2023，48（1）：373-387. Hu Z Q，Li G S，Yuan D Z. Timing of concurrent mining and reclamation in coal-grain overlapping areas with mining-induced subsidence，Eastern China[J]. Journal of China Coal Society，2023，48（1）：373-387.

Similar References:

Memo

Last Update: 2025-07-20