摘要
为评估2013—2023年洞庭湖流域遥感生态指数(RSEI)的动态变化,分析其空间分布差异及潜在影响因素,基于2013—2023年洞庭湖流域的遥感数据,采用主成分分析方法,计算RSEI指数,并对其时空变化进行分析。结果表明,降雨量与RSEI指数呈显著正相关(相关系数为0.781,p<0.05),降雨量较多的年份,RSEI指数显著提升,生态环境质量改善。此外,人类活动和土地利用变化等其他因素也对生态环境产生影响,尤其是城市扩张和农业活动密集区域的RSEI指数明显下降。
To evaluate the dynamic changes in the overall remote sensing ecological index(RSEI)in the Dongting Lake Basin from 2013 to 2023,this study analyzes the spatial distribution variations of RSEI and explores potential influencing factors based on the remotely sensed data of the Dongting Lake Basin during 2013—2023 by using the principal component analysis method.The results indicate that there is a significant positive correlation between precipitation and RSEI index(correlation coefficient of 0.781,p<0.05),and years with more rainfall significantly increase the RSEI index and improve the quality of the ecological environment.Additionally,other factors such as human activities and land-use changes are found to impact the ecological environment,especially in the areas of urban expansion and intensive agricultural activities,the RSEI index decreases significantly.
作者
丁源
王威
汪天柯
黄宇鹏
DING Yuan;WANG Wei;WANG Tianke;HUANG Yupeng(Dongtinghu National Climate Observatory,Hunan Yueyang 414000,China;Meteorological Disaster Prevention and Mitigation Affairs Center of Beihu District,Hunan Chenzhou 423000,China;Yueyang Meteorological Bureau,Hunan Yueyang 414000,China)
出处
《气象研究与应用》
2025年第1期102-108,共7页
Journal of Meteorological Research and Application
基金
岳阳市气象局科研项目(YYQXKJ2302)。
关键词
东洞庭湖湿地
生态指数
生态质量变化
主成分分析
East Dongting Lake Wetland
ecological index
ecological quality change
principal component analysis
作者简介
第一作者:丁源(1990-),助理工程师,主要从事气象遥感研究工作。E-mail:993147058@qq.com。
