基于RSEI指数的吉林省四平市生态环境质量变化分析  

Analysis of ecological environment quality change based on RSEI index in Siping City,Jilin Province

作　　者：徐思瑜 于海明 徐誉维 张熠斌 沈海鸥 XU Siyu;YU Haiming;XU Yuwei;ZHANG Yibin;SHEN Haiou(Jilin Geological Environment Monitoring Center(Jilin Geological Disaster EmergencyTechnical Guidance Center),Changchun 130021,Jilin,China;Jilin Agricultural University,Changchun 130118,Jilin,China)

机构地区：[1]吉林省地质环境监测总站(吉林省地质灾害应急技术指导中心),吉林长春130021 [2]吉林农业大学,吉林长春130118

出　　处：《城市地质》2022年第4期477-484,共8页Urban Geology

基　　金：国家重点研发计划项目(2016YFE0202900-3)。

摘　　要：利用新型遥感生态指数(RSEI)对四平市2007年、2016年、2021年数据进行生态环境质量评价、建模和预测。为更好验证RSEI的代表性和合理性,分别从主成分分析、差值、模型等几个角度进行检测。经计算,四平市生态环境质量等级为差和较差面积的占比明显下降,等级为良和优面积的占比明显提升,生态环境明显改善。从回归模型结果可以看出,建筑物和裸土指数(NDBSI)对研究区生态环境影响最大,说明对干化和裸露地表的治理是提升研究区生态环境的关键。Taking Siping City as the research area,this paper uses the new remote sensing ecological index(RSEI)to evaluate,model and predict the ecological environment quality of Siping City in 2007,2016 and 2021.In order to better verify the representativeness and rationality of RSEI,tests are carried out from the perspectives of principal component analysis,difference value,model,etc.The indexes of the areas with poor and extremely poor ecological environment quality decrease significantly,while that of the areas with good ecological environment quality increase.The quality of ecological environment in the study area is developing in a good direction.From the results of the regression model,it can be seen that NDBSI has the greatest impact on the ecological environment of the study area,indicating that the treatment of drying and bare ground is the key to improving the ecological environment of the study area.

关 键 词：遥感生态指数(RSEI) 生态状况 环境评价 

分 类 号：X321[环境科学与工程—环境工程]