宁夏沿黄绿洲生态环境质量动态与特征  

Ecological environment quality dynamics and characteristics in the oasis of Ningxia section of the Yellow River based on Google Earth Engine

作　　者：杨智程 董春媛 乔荣荣 罗立辉 常学礼 YANG Zhicheng;DONG Chunyuan;QIAO Rongrong;LUO Lihui;CHANG Xueli(Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China;School of Resources and Environmental Engineering,Ludong University,Yantai 264025,China;School of Life Sciences,Nanjing University,Nanjing 210000,China)

机构地区：[1]中国科学院西北生态环境资源研究院,兰州730000 [2]中国科学院大学,北京100049 [3]鲁东大学资源与环境工程学院,烟台264025 [4]南京大学生命科学学院,南京210000

出　　处：《地球环境学报》2025年第1期89-98,共10页Journal of Earth Environment

基　　金：宁夏回族自治区重点研发计划(2021BEG02010);国家自然科学基金项目(41271193)。

摘　　要：利用Google Earth Engine(GEE)平台对宁夏沿黄人工绿洲2000、2011和2020年进行遥感生态指数(remote sensing ecological index,RSEI)评价,同时对不同土地利用方式类型区2020年RSEI评价结果进行比较分析。结果表明:(1)2000—2020年宁夏沿黄人工绿洲生态环境质量在时间上整体呈上升趋势,在空间上RSEI分布体现为中部海拔较低区生态环境质量高,而四周海拔较高区生态环境质量低,在研究周期内生态环境质量分级主要以较差和良为主;(2)2000—2011年不同RSEI级别流转中,优级面积减少623.0 km^(2),差级面积增加264.2 km^(2),期间总体生态环境趋于变差;2011—2020年RSEI优级面积增加1936.4 km^(2),生态环境趋于变好;(3)选择NDVI、WET、NDBSI和LST 4个因子构建RSEI指数在NDVI较高区域的不同研究结果之间具有一致性;但在NDVI较低区域由于影响PC1的主要评价因子并非NDVI,研究结果解释需要因事而异。总体来看,宁夏沿黄绿洲RSEI在研究期内变化呈总体改善、东南边缘恶化的状况;RSEI结果解释需要考虑NDVI等评价因子在PC1上的贡献率。Background,aim,and scope The quality of regional ecological environment is a cornerstone for sustainable human development.Recently,the remote sensing ecology index(RSEI)has garnered widespread adoption in assessing ecological quality,yet studies focusing on the vast artificial oases in northwest China remain scarce.This paper employs the RSEI model to evaluate the ecological quality of the oasis of Ningxia section of the Yellow River,situated in the arid and semi-arid region.Our primary objective is to quantify RSEI’s current status across various timeframes within the study area,leveraging the Google Earth Engine(GEE)platform,and to elucidate the transformations in ecological quality within the artificially irrigated oases(plains)prevalent in northwestern China’s interior.Materials and methods Utilizing Landsat data on the GEE platform,we computed greenness,humidity,dryness,and heat factors for 2000,2011,and 2020.Subsequently,we integrated these factors with RSEI through principal component analysis(PCA)to determine the ecological quality of the oasis of Ningxia section of the Yellow River.Additionally,we selected Otog Front Banner(a grassland area)and Wuyuan County,Bayannur City(a non-oasis plain agricultural area)in Inner Mongolia Autonomous Region as benchmarks to assess the limitations of RSEI application by comparing them with the oasis of Ningxia section of the Yellow River.Results(1)Temporal and spatial trends:from 2000 to 2020,the overall ecological quality of the oasis of Ningxia section of the Yellow River demonstrated an upward trend,with the RSEI spatially ref lecting higher quality in the central lower-elevation areas and lower quality in the surrounding higher-elevation regions.Throughout the study period,the ecological quality was primarily categorized as fair to good.(2)Change analysis:between 2000 and 2011,the area with excellent ecological quality decreased by 623.0 km^(2) while the poor-quality area expanded by 264.2 km^(2),indicating a general decline in ecological health.Conversely,from

关 键 词：GoogleEarthEngine 遥感生态指数 主成分分析 宁夏沿黄人工绿洲 

分 类 号：X826[环境科学与工程—环境工程]