摘要
该文利用相关性分析、回归建模确定最佳遥感生态指数(RSEI),对锡矿山锑矿区2002-2019年生态环境状况进行总体评价、时空分析及变化监测。结果表明:由第一主成分构建的RSEI最佳。2002-2019年研究区RSEI先降低后升高,生态环境质量呈先下降后好转的变化趋势;2002年矿区生态环境质量较差区域集中于中部采矿集中区,2008年进一步向四周扩张,2019年中部采矿集中区质量提升,总体生态环境改善。2002-2008年生态环境质量变差区域占65.550%,2008-2019年生态环境质量变好区域占77.683%。
By using correlation analysis and regression modeling, the best remote sensing ecological index(RSEI) is determined, so as to carry out the overall evaluation, spatiotemporal analysis and change monitoring of the ecological environment of Xikuangshan antimony mining area from 2002 to 2019. The results show that the RSEI constructed by the first principal component(PC1) is the best. From 2002 to 2019, RSEI in research area first decreased and then increased, so the ecological environment quality shows a trend of decreasing and then improving;in 2002, the areas with poor ecological environment quality in the mining area were concentrated in the central mining area, and further expanded to the surrounding areas in 2008. In2019, the ecological quality in the central mining area improved, and the overall ecological environment improved greatly.From 2002 to 2008, 65.550% of the areas were with poor ecological environment quality and 77.683% of the areas with good environmental quality from 2008 to 2019.
作者
魏力辉
万大娟
毕军平
谢军
WEI Lihui;WAN Dajuan;BI Junping;XIE Jun(College of Resource and Environment Science,Hunan Normal University,Changsha 410081,China;Hunan Ecological Environment Monitoring Center,Changsha 410014,China;Lengshuijiang Branch,Ecological Environment Bureau of Loudi City,Loudi 417500,China)
出处
《环境科学与技术》
CAS
CSCD
北大核心
2020年第6期230-236,共7页
Environmental Science & Technology
关键词
遥感生态指数
生态环境质量
主成分分析
锡矿山锑矿区
remote sensing ecological index(RSEI)
ecologic environment quality
principle component analysis
Xikuangshan antimony mining area
