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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。
Abstract：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 RSEInew 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).
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基本信息:
中图分类号:X321
引用信息:
[1]欧阳心如,陈天伟,杨卫聪.利用新型遥感生态指数的南宁市环境质量动态变化分析[J].无线电工程,2024,54(04):947-953.
基金信息:
国家自然科学基金（41861050）; 广西自然科学基金（2017GXNSFAA198308）~~
2023-09-04
2023-09-04
2023-09-04