基于GEE和RSEI的长三角一体化示范区生态环境质量动态评估  

Dynamic assessment of eco-environmental quality in Yangtze River Delta integration demonstration area based on GEE and RSEI

作　　者：何天星 田宁 周锐 马群 张洁 高峻 HE Tian-xing;TIAN Ning;ZHOU Rui;MA Qun;ZHANG Jie;GAO Jun(School of Environmental and Geographical Sciences,Shanghai Normal University,Shanghai 200234,China;College of Urban and Environmental Sciences,Peking University,Beijing 100871,China;Yangtze River Delta Urban Wetland Ecosystem National Field Observation and Research Station,Shanghai 200234,China)

机构地区：[1]上海师范大学环境与地理科学学院,上海200234 [2]北京大学城市与环境学院,北京100871 [3]上海长三角城市湿地生态系统国家野外科学观测研究站,上海200234

出　　处：《生态学杂志》2023年第2期436-444,共9页Chinese Journal of Ecology

基　　金：国家自然科学基金重点项目(41730642);上海市自然科学基金项目(18ZR1427700);国家社会科学基金重大项目(17ZDA058)资助。

摘　　要：生态环境质量变化的及时监测与定量评估,可为区域生态环境协同治理与管控政策制定提供决策支持。本研究基于Landsat5/TM和Landsat8/OLI影像,利用Google Earth Engine(GEE)平台和遥感生态指数(RSEI),综合考虑湿度、绿度、干度和热度等多种生态环境要素,对长三角一体化示范区2000—2020年生态环境质量变化进行了评估,并结合GDP和人口数据分析了社会经济因子对生态环境质量的影响。结果表明:绿度是对研究区生态环境质量贡献率最大的指标,且具有正面效应,而热度指标是引起生态环境质量退化的主要因素;研究区生态环境质量总体上处于中等水平,且呈现平稳上升趋势,其中,青浦区生态环境质量上升趋势明显,而吴江区和嘉善县的生态环境质量略有下降;2000—2020年,研究区生态环境质量提高区域面积占比(30.45%)略高于下降区域(28.35%),良好和优等级区域占比由27.34%增至29.79%,在不同时段,区县间和街镇间差异较为显著;人口增长对生态环境质量具有明显的负面影响,而经济发展并未以牺牲生态环境为代价,二者之间表现为脱钩关系。The rapid monitoring and quantitative evaluation of eco-environmental quality change can provide decision support for regional ecological environment collaborative governance and management policy formulation. Based on Landsat5/TM and Landsat8/OLI images, using Google Earth Engine(GEE) platform and Remote Sensing Ecological Index(RSEI), comprehensively considering various eco-environmental factors such as humidity, greenness, dryness, and heat, we quantitatively evaluated the changes of eco-environmental quality in the Yangtze River Delta integration demonstration area from 2000 to 2020. We analyzed the effects of social and economic factors on eco-environmental quality by combining GDP and population data. The results showed that greenness contributed most and positively to the eco-environmental quality of the study area. Thermal index was the main factor resulting in the degradation of regional eco-environmental quality. The eco-environmental quality of the study area was generally at a medium level, which showed a steady upward trend during 2000-2020. Specifically, the eco-environmental quality of Qingpu District increased obviously, while that of Wujiang District and Jiashan County decreased slightly. From 2000 to 2020, the proportion of areas with improved eco-environmental quality(30.45%) was slightly higher than that of degraded area(28.35%), and the proportion of areas with good and excellent grades increased from 27.34% to 29.79%. There were significant differences in eco-environment quality among districts/counties and towns in different periods. Population growth had a significant negative impact on eco-environment quality. Economic development was not at the cost of eco-environment, and the relationship between economic development and eco-environment quality was decoupled.

关 键 词：生态环境质量 遥感生态指数 Google Earth Engine 长三角一体化示范区 

分 类 号：X821[环境科学与工程—环境工程]