The Influence of Human Activities and Climate Change on the Spatiotemporal Variations of Eco-Environmental Quality in Shendong Mining Area, China from 1990 to 2023

被引:0
|
作者
Tian, Yu [1 ]
Wang, Zhile [2 ]
Ji, Chuning [2 ]
Feng, Zehao [2 ]
Lu, Xiang [2 ]
机构
[1] China Univ Min Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China
[2] China Univ Min & Technol, Sch Mines, Xuzhou 221116, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2025年 / 15卷 / 05期
基金
中国国家自然科学基金;
关键词
ecological environment quality; remote sensing ecological index; coal mining; land-use type transitions; Shendong mining area;
D O I
10.3390/app15052296
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The Shendong mining area is the largest coal production base in western China. Due to long-term mining activities, the ecological environment quality (EEQ) of the Shendong mining area has undergone significant changes. Investigating the evolution of EEQ during the process of mineral resource exploitation is of great importance for the sustainable development of the mining area. However, current research lacks a quantitative assessment of the contributions of climate change and human activities to the spatiotemporal variations in EEQ in the Shendong mining area. In this study, the Remote Sensing Ecological Index (RSEI) was used as an EEQ evaluation metric. The Theil-Sen slope estimation and Mann-Kendall test were applied to analyze the spatiotemporal changes of EEQ from 1990 to 2023. Additionally, the partial derivative method was used to investigate the response characteristics of EEQ to climatic factors and human activities and to quantify the relative contributions of these two driving factors. The results indicate that, over the past 34 years, the overall EEQ in the study area has shown an improving trend. Compared to 1990, the proportions of areas with good-grade and excellent-grade EEQ in 2023 increased by 28% and 23.78%, respectively. Additionally, in the second phase (2011-2023), the average RSEI time series value significantly increased compared to the first phase (1990-2010). Among the climatic factors, annual precipitation had the greatest impact on EEQ, with an average contribution rate of 0.085. The conversion of unused land to forestland significantly improved the EEQ, with the area showing a very significant increase in RSEI, accounting for 82.30%. The areas in the mining region showing very significant, significant, and slight increases in RSEI were smaller than the overall study area. In conclusion, the overall EEQ in the study area has shown an improving trend, with climate change being the dominant factor in 71.52% of the areas where RSEI increased, while human activities were the dominant factor in 26.89% of the areas where RSEI decreased.
引用
收藏
页数:20
相关论文
共 29 条
  • [21] Impacts of Climate Change, Glacier Mass Loss and Human Activities on Spatiotemporal Variations in Terrestrial Water Storage of the Qaidam Basin, China
    Yang, Xuewen
    Wang, Ninglian
    Chen, An'an
    Li, Zhijie
    Liang, Qian
    Zhang, Yujie
    REMOTE SENSING, 2022, 14 (09)
  • [22] Information entropy and elasticity analysis of the land use structure change influencing eco-environmental quality in Qinghai-Tibet Plateau from 1990 to 2015
    Zhang, Lina
    Zhang, Hongqi
    Xu, Erqi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (13) : 18348 - 18364
  • [23] Information entropy and elasticity analysis of the land use structure change influencing eco-environmental quality in Qinghai-Tibet Plateau from 1990 to 2015
    Lina Zhang
    Hongqi Zhang
    Erqi Xu
    Environmental Science and Pollution Research, 2022, 29 : 18348 - 18364
  • [24] Water Quality Changes in the Xingkai (Khanka) Lake, Northeast China, Driven by Climate Change and Human Activities: Insights from Published Data (1990-2020)
    Wu, Yaping
    Chen, Dan
    Liu, Yu
    Li, Fujia
    Wang, Ping
    Wang, Rui
    Shamov, Vladimir V.
    Zhu, A-Xing
    Deng, Chunnuan
    WATER, 2024, 16 (21)
  • [25] Spatiotemporal Variations of Vegetation and Its Response to Climate Change and Human Activities in Arid Areas-A Case Study of the Shule River Basin, Northwestern China
    He, Xiaorui
    Zhang, Luqing
    Lu, Yuehan
    Chai, Linghuan
    FORESTS, 2024, 15 (07):
  • [26] Analysis of Eco-Environmental Quality of an Urban Forest Park Using LTSS and Modified RSEI from 1990 to 2020-A Case Study of Zijin Mountain National Forest Park, Nanjing, China
    Ren, Fang
    Xu, Jiaoyang
    Wu, Yi
    Li, Tao
    Li, Mingyang
    FORESTS, 2023, 14 (12):
  • [27] NDVI-Based Vegetation Dynamics and Their Responses to Climate Change and Human Activities from 2000 to 2020 in Miaoling Karst Mountain Area, SW China
    Wu, Yangyang
    Yang, Jinli
    Li, Siliang
    Guo, Chunzi
    Yang, Xiaodong
    Xu, Yue
    Yue, Fujun
    Peng, Haijun
    Chen, Yinchuan
    Gu, Lei
    Shi, Zhenghua
    Luo, Guangjie
    LAND, 2023, 12 (07)
  • [28] Comparative Assessment of Vegetation Dynamics under the Influence of Climate Change and Human Activities in Five Ecologically Vulnerable Regions of China from 2000 to 2015
    Wang, Hao
    Liu, Guohua
    Li, Zongshan
    Wang, Pengtao
    Wang, Zhuangzhuang
    FORESTS, 2019, 10 (04)
  • [29] Pixel-scale historical-baseline-based ecological quality: Measuring impacts from climate change and human activities from 2000 to 2018 in China
    Wang, Junbang
    Ding, Yuefan
    Wang, Shaoqiang
    Watson, Alan E.
    He, Honglin
    Ye, Hui
    Ouyang, Xihuang
    Li, Yingnian
    JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2022, 313