Liu Yajing, Liu Hongjian, Yan Chaoqun, Feng Zhengwen, Zhou Shuai
College of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China.
Tangshan Key Laboratory of Resources and Environmental Remote Sensing, Tangshan, 063210, China.
Heliyon. 2023 Oct 11;9(10):e20787. doi: 10.1016/j.heliyon.2023.e20787. eCollection 2023 Oct.
Large-scale open-pit mining in mining areas will cause serious damage to the ecological environment. Building a "green mine" is an essential part of implementing sustainable development. In order to explore the changing characteristics of the environmental quality of the open-pit mining area and provide a scientific basis for improving the ecological environment of the mining area. Taking Sijiying open-pit mining area as the research area, based on four Landsat images from 2000 to 2022, the four index components of greenness, humidity, dryness and heat were integrated, and an improved remote sensing ecological index CRSEI was constructed by principal component analysis to dynamically evaluate and monitor the ecological environment quality of the mining area. The results show that the average correlation between CRSEI and the index components is higher than the average correlation between the components, indicating that it has a favorable expression effect on the ecological quality of the mining area. The ecological environmental quality of the study area experienced a shift to the poor grade, and the poor ecological quality area was mainly distributed in industrial and mining land and construction land, with the mean CRSEI of 0.668, 0.474, 0.460 and 0.494, respectively. The results of dynamic monitoring showed that the proportion of ecological improvement area (41.43 %) was greater than that of ecological deterioration area (33.29 %) in the study area in the past 22 years, and additional restoration efforts should be made to achieve sustainable development of the ecological environment.
矿区的大规模露天开采会对生态环境造成严重破坏。建设“绿色矿山”是实施可持续发展的重要组成部分。为了探究露天矿区环境质量的变化特征，为改善矿区生态环境提供科学依据。以四台营露天矿区为研究区域，基于2000年至2022年的四期Landsat影像，综合绿度、湿度、干度和热度四个指标分量，通过主成分分析构建了改进的遥感生态指数CRSEI，对矿区生态环境质量进行动态评价与监测。结果表明，CRSEI与指标分量之间的平均相关性高于各分量之间的平均相关性，说明其对矿区生态质量具有良好的表达效果。研究区生态环境质量出现向较差等级的转变，生态质量较差区域主要分布在工矿用地和建设用地，其CRSEI均值分别为0.668、0.474、0.460和0.494。动态监测结果显示，研究区过去22年生态改善面积比例（41.43%）大于生态恶化面积比例（33.29%），应加大修复力度以实现生态环境的可持续发展。
