利用新型遥感生态指数的南宁市环境质量动态变化分析OA
Analysis of Dynamic Change of Environmental Quality in Nanning City Using New Remote Sensing Ecological Index
随着遥感技术的快速发展,利用遥感生态指数(Remote Sensing Ecological Index,RSEI)进行区域生态环境质量监测取得了一定进展,但是RSEI在应用不同区域中很少考虑空气质量对当地生态环境的影响.针对这一局限性,以南宁市为例,在RSEI的基础上,加入能精准监测城区高分辨率空气质量的差值霾指数(Difference Haze Index,DHI),构建新型遥感生态指数(new Remote Sensing Ecological Index,RSEInew),随后对 比分析RSEI与RSEInew的平均相关度和PC1,验证了构建的RSEInew模型更具有表征区域生态环境的代表性.利用RSEInew模型对南宁市生态环境质量进行动态变化分析,结果表明,2013-2021年,南宁市生态环境质量得到优化,RSEInew提升了 15％,整体生态环境水平处于中等(0.4～0.6)以上.
With the rapid development of remote sensing technology,the use of Remote Sensing Ecological Index(RSEI)to monitor regional ecological environment quality has made some progress,but the impact of air quality on local ecological environment is rarely considered in the application of RSEI in different regions.In view of this limitation,Nanning city is taken as an example.Based on RSEI,the Difference Haze Index(DHI),which can accurately monitor urban air quality with high resolution,is added to build a new Remote Sensing Ecological Index(RSEInew).Then,the average correlation between RSEI and RSEInew and PC1 are compared and analyzed.It is verified that the constructed RSElnew model is more representative of regional ecological environment.Finally,RSEInew model is used to analyze the dynamic change of ecological environment quality in Nanning city.The results show that from 2013 to 2021,the ecological environment quality of Nanning city was optimized,the RSEInew was increased by 15％,and the overall ecological environment level was above medium(0.4～0.6).
欧阳心如;陈天伟;杨卫聪
桂林理工大学测绘地理信息学院,广西桂林 541004桂林理工大学测绘地理信息学院,广西桂林 541004||广西空间信息与测绘重点实验室,广西桂林 541004
大气科学
新型遥感指数主成分分析生态环境质量南宁市
new remote sensing indexprincipal component analysisecological environment qualityNanning city
《无线电工程》 2024 (004)
947-953 / 7
国家自然科学基金(41861050);广西自然科学基金(2017GXNSFAA198308)National Natural Science Foundation of China(41861050);Guangxi Natural Science Foundation of China(2017 GXNSF A A198308)
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