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作 者:贾应 吴彩燕[1,2,3] 应欣翰 蒙齐 JIA Ying;WU Caiyan;YING Xinhan;MENG Qi(School of Environment and Resources,Southwest University of Science and Technology,Mianyang Sichuan 621010,China;Tianfu Institute of Research and Innovation,Southwest University of Science and Technology,Chengdu Sichuan 610299,China;Mianyang S&T City Division,the National Remote Sensing Center of China,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]西南科大四川天府新区创新研究院,四川成都610299 [3]国家遥感中心绵阳科技城分部,四川绵阳621010
出 处:《化工矿物与加工》2024年第9期79-88,共10页Industrial Minerals & Processing
基 金:四川省科技厅项目(2020YFS0389);第三次新疆综合科学考察项目(2021xjkk1404)。
摘 要:生态环境保护对于推动社会经济可持续发展非常重要,对生态环境质量进行及时有效的监测可为城市发展规划提供依据。本文选取西昌市2001-2020年5期Landsat TM/ETM+/OLI时间序列影像为研究数据,耦合绿度、湿度、干度、热度构建遥感生态指数RSEI,并结合研究区气候、降水量、人口密度等驱动因素探究西昌市生态环境质量变化规律。结果表明:20年间,西昌市生态环境质量得到了有效改善;生态环境质量恶化区域主要位于中部流域耕作区、主城区周边及西部山脉,改善区域主要分布在海拔稍低的山区;由单因子探测分析可知,土地利用、年平均气温、年平均降水量对RSEI影响较大;由多因子探测分析可知,各因子交互作用对RSEI均有增强效果,其中年平均气温在土地利用交互作用下表现出了更强的解释力。Ecological environment issues are the important factors affecting the sustainable socio-economic development,and timely and effective monitoring of ecological environment quality can provide decision-making basis for urban development.This article selected the Landsat TM/ETM+/OLI time series images of Xichang City from 2001 to 2020 as the research data.The Remote Sensing Ecological Index(RSEI)was constructed by coupling greenness,humidity,dryness and heat,and the dynamic changes of ecological environment quality in Xichang city was explored by combining driving factors such as climate,rainfall,and population density in the study area.The results showed that the ecological environment quality of Xichang city has been effectively improved in the past 20 years.The deterioration area of ecological environment quality is mainly located in the cultivation area of the central basin,the surrounding area of the main urban area and the western mountains,and the improvement area is mainly distributed in the mountainous area with slightly lower elevation.According to analysis of single factor detection,l and use,average annual temperature,and average annual rainfall have a significant impact on RSEI;According to analysis of the multi factor detection,the interaction of various factors has an enhanced effect on RSEI,with annual average temperature showing stronger explanatory power under land use interaction.
关 键 词:遥感生态指数 动态监测 驱动因子 地理探测器 时间序列影像 生态环境质量
分 类 号:X821[环境科学与工程—环境工程] X171.1
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