乌兰图嘎锗煤露天矿生态环境质量评价及空间自相关分析
Ecological environment quality assessment and spatial autocorrelation analysis in Wulantuga Germanium Coal Open-pit Mine
殷飞 1刘峰 1张雷涛1
作者信息
- 1. 锡林郭勒盟乌兰图嘎煤炭有限责任公司,内蒙古 锡林浩特 026000
- 折叠
摘要
以Sentinel-2 为基础数据源,采用主成分分析法构建 2020-2023 年乌兰图嘎锗煤露天矿RSEI遥感生态指数,运用空间自相关对矿区生态环境质量进行动态监测及定量评价.结果表明:绿度指标(NDVI)及湿度指标(WET)是矿区生态环境主要影响因素,2020-2023 年矿区RSEI遥感生态指数逐年增长,涨幅达 28.4%;生态环境差与较差区域共计减少 1.62 km2;良好与优区域共计增长 1.06 km2;生态环境质量呈高度空间自相关,生态环境差及较差值在露天矿采坑高度聚集,生态环境质量良好及优值在排土场苗圃及削坡区域高度聚集,网格数 4 年间涨幅达27.27%,生态环境得到有效改善,且空间布局趋于合理化.
Abstract
Taking Sentinel-2 as the basic data source,the article constructs RSEI remote sensing ecological index in Wulantuga Germanium Coal Open-pit Mine from 2020 to 2023,and applies the spatial auto-correlation to dynamically monitor and quantitatively evaluate the ecological environment quality in the mining area.The results show that the greenness index(NDVI)and the humidity index(WET)are the main influencing factors on the ecological environment of the mining area.Remote Sensing Ecological Index of the mining area increases yearly by 28.4%from 2020-2023,and total reduction of 1.62 km2 in poor and poorer ecosystem areas.A total of 1.06 km2 of growth was observed in both good and excellent regions.The ecological environment quality shows a high degree of spatial auto-correlation,with poor and inferior ecological environment values concentrated at the height of open-pit mining pits.Good and superior ecological environment quality values are highly concentrated in the nursery and slope cutting areas of the waste dump.The number of grids has increased by 27.27%over the past four years.The ecological environment has been effectively improved and the spatial layout has been rationalized.
关键词
绿色矿山/土地复垦/RSEI遥感生态指数/主成分分析Key words
green mine/land reclamation/RSEI remote sensing ecological index/principal component analysis引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据