基于遥感生态指数的金川镍矿区 生态环境质量变化分析  

Analysis of eco-environmental quality change in Jinchuan nickel mine based on remote sensing ecological index

作　　者：冉茂莹 王卫红[1,2,3] 王雪丽 刘晨阳 朱鹏飞 Ran Maoying;Wang Weihong;Wang Xueli;Liu Chenyang;Zhu Pengfei(School of Environment and Resources,Southwest University of Science and Technology,Mianyang Sichuan 621010,China;Mianyang Science and Technology City Branch of National Remote Sensing Center,Mianyang Sichuan 621010,China;Sichuan Hangyao Intelligent Measurement Technology Co.,Ltd.,Mianyang Sichuan 621010,China)

机构地区：[1]西南科技大学环境与资源学院,四川绵阳621010 [2]国家遥感中心绵阳科技城分部,四川绵阳621010 [3]四川航遥智测科技有限公司,四川绵阳621010

出　　处：《化工矿物与加工》2022年第8期16-21,共6页Industrial Minerals & Processing

摘　　要：金川镍矿经过60余年的开发建设,在支撑当地经济发展的同时,给矿区周围的生态环境造成了不利影响。随着“绿水青山就是金山银山”发展理念的提出,矿区生态环境治理受到了高度关注,因此有必要开展金川镍矿区生态环境质量评价。以Landsat 5和Landsat 8影像数据为数据源,利用主成分分析法构建遥感生态指数(Remote Sensing Ecology Index,RSEI)评估2000-2020年间金川镍矿区的生态环境质量变化情况,运用多元回归模型定量分析各个因子与生态环境之间的关系,结果表明:2000-2020年矿区生态环境呈转好趋势,RSEI均值从0.366增至0.596;2020年相较2000年,生态环境质量较差的面积减小了22.8个百分点,质量优良的面积增加了2.4个百分点;多元回归模型分析结果表明,热度、绿度和干度等因子均是影响生态环境质量的重要因素,而热度因子起到了决定性作用。As a result of the development and construction for over 60 years,Jinchuan nickel mine had supported the local economy but caused adverse effects on the ecology of surroundings.With the proposal of the development strategy of"lucid waters and lush mountains are invaluable assets",the ecological and environment management of the mining area was given considerable attention.It was of great significance to carry out the evalu-ation of eco-environmental quality in Jinchuan nickel mine.In the study,Landsat 5 and Landsat 8 images were taken as the data sources,the remote sensing ecological index(RSEI)was constructed by principal component analysis to evaluate the eco-environmental quality of Jinchuan nickel mine from 2000 to 2020.Finally,the relationship between various factors and ecological environment was quantitatively analyzed using regression model.The results show that the ecological environment of Jinchuan nickel mine was improved from 2000 to 2020 as the averaged RSEI increased from 0.366 to 0.596.In 2020,the area with poor ecological environment quality presented 22.8 percentage points decrease while the area with high ecological environment quality presented 2.4 percentage points increase compared with 2000.representing the remar-kable results of the management.The results from study with the multiple regression model made it clear that the temperature,green and dry are key factors on ecological and environmental quality,among which the tempe-rature factor is the critical one.

关 键 词：遥感生态指数 矿区环境 生态环境质量评价 主成分分析法 多元回归模型 热度因子 

分 类 号：X821[环境科学与工程—环境工程] P23[天文地球—摄影测量与遥感]