摘要
生态环境质量评估监测是联合国可持续发展目标中的重要内容。本文利用2005年、2014年和2022年,共3期遥感影像数据,应用主成分分析法,将绿度、湿度、干度和热度等4个指标耦合成遥感生态指数(RSEI),对开封市2005~2022年的生态环境质量进行动态分析。结果表明:干度是对生态环境质量影响最大的指标,而热度的影响相对较小;RSEI能够较好地反映开封市的生态环境质量状况;开封市的生态环境质量在研究期间持续改善,RSEI的平均值从0.576增加到0.643,增幅达11.63%,约44.63%的区域生态环境质量得到改善,主要表现为一个等级的提升;生态环境质量分布格局发生较大变化,生态环境等级为良、优的区域大幅增加,主要分布在除开封市主城区西北部以外地区。
Ecological environment quality assessment and monitoring is an important part of the Sustainable Development Goals of the United Nations.In this paper,using three periods of remote sensing image data from 2005,2014 and 2022,the principal component analysis method was applied to combine greenness,humidity,dryness and heat into Remote Sensing Ecological Index(RSEI),and the ecological environment quality of Kaifeng City from 2005 to 2022 was dynamically analyzed.The results show that dryness is the index that has the greatest influence on the quality of ecological environment,while the influence of heat is relatively small.RSEI can reflect the ecological environment quality of Kaifeng City well.The ecological environment quality of Kaifeng City continued to improve during the study period,and the average RSEI increased from 0.576 to 0.643,increasing 11.63%.About 44.63%of the regional ecological environment quality was improved,which was mainly represented by a grade improvement;the distribution pattern of ecological environment quality has changed greatly,and the areas with good and excellent ecological environment grade have increased significantly,which mainly distributed in the areas except the main urban area of Kaifeng city in the northwest.
作者
任洪兵
杜崇
Ren Hongbing;Du Chong(College of Water Conservancy and Electric Power,Heilongjiang University,Harbin 150080,China)
出处
《吉林水利》
2024年第1期64-70,共7页
Jilin Water Resources
基金
黑龙江省省属高等学校基本科研业务费科研项目资助(2018KYYWF1570)。
关键词
RSEI
生态环境质量
主成分分析
开封市
RSEI
Ecological environment quality
Principal component analysis
Kaifeng City
