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Assessing the Ecological Quality of Nanjing during Its Urbanization Process by Using Satellite, Meteorological, and Socioeconomic Data
Journal of Meteorological Research ( IF 3.2 ) Pub Date : 2020-05-11 , DOI: 10.1007/s13351-020-9150-6
Xin Hang , Yachun Li , Xiaochun Luo , Min Xu , Xiuzhen Han

Assessing the ecological status of different districts within a city undergoing urbanization is challenging given their complex surface types and fast pace of development. In this study, we utilized satellite data obtained from Landsat 5/TM (Thematic Mapper) and Landsat 8/OLI (Operational Land Imager) images in conjunction with meteorological and socioeconomic data to construct a remote sensing ecological index (RSEI) for monitoring the ecological quality of Nanjing, Jiangsu Province. A higher RSEI value corresponded to better ecological quality. Five ratings were associated with RSEI values of city districts: very poor, poor, average, good, and excellent. In Nanjing, the percentage of areas evidencing good RSEI ratings decreased from 55.9% in 2000 to 48.0% in 2018, whereas there was a slight increase in areas with very poor RSEI ratings during this period. Of the 11 city districts, 16.8%, 21.8%, and 61.4% respectively evidenced the increasing, decreasing, and stable ecological quality relative to their quality in 2000. Of the 11 administrative districts in Nanjing, the main urban districts evidenced increased RSEI values in 2018 compared with those in 2000, with the improved areas exceeding the ones that had deteriorated in these districts. However, the ecological quality of new urban and ed because of the urban expansion, with areas that had deteriorated exceeding the improved ones. Of the three protected ecological zones, the quality of Zijin Mountain National Forest Park was considerably better than that of Laoshan and Jiangxinzhou. Overall, the urbanization rate and RSEI evidenced a high negative correlation coefficient value (−0.76). The urbanization process of Nanjing induced a declining trend for the ecological quality, indicating the need of strong protection measures for the maintenance or improvement of its ecological environment.

中文翻译:

利用卫星,气象和社会经济数据评估南京城市化过程中的生态质量

考虑到城市表面类型复杂和发展速度快,评估城市化过程中不同地区的生态状况具有挑战性。在这项研究中,我们利用了从Landsat 5 / TM(专题测绘仪)和Landsat 8获得的卫星数据。/ OLI(运营土地成像)图像与气象和社会经济数据相结合,以构建遥感生态指数(RSEI),以监测江苏省南京市的生态质量。RSEI值越高,说明生态质量越好。五个评分与市区的RSEI值相关:非常差,差,中,好和极好。在南京,RSEI评级良好的地区所占比例从2000年的55.9%下降到2018年的48.0%,而在此期间,RSEI评级非常差的地区略有增加。在11个市区中,相对于其质量,2000年的生态质量分别上升,下降和稳定,分别为16.8%,21.8%和61.4%。在南京的11个行政区中,与2000年相比,2018年主要城市地区的RSEI值有所增加,改善的地区超过了这些地区恶化的地区。然而,由于城市的扩张,新城市和爱德的生态质量有所下降,其恶化的地区超过了改善的地区。在三个受保护的生态区中,紫金山国家森林公园的质量明显好于La山和江新洲。总体而言,城市化率和RSEI表现出较高的负相关系数值(-0.76)。南京的城市化进程引起了生态质量的下降趋势,这表明需要强有力的保护措施来维护或改善其生态环境。改善的地区超过了这些地区恶化的地区。然而,由于城市的扩张,新城市和爱德的生态质量有所下降,其恶化的地区超过了改善的地区。在三个受保护的生态区中,紫金山国家森林公园的质量明显好于La山和江新洲。总体而言,城市化率和RSEI表现出较高的负相关系数值(-0.76)。南京的城市化进程引起了生态质量的下降趋势,这表明需要强有力的保护措施来维护或改善其生态环境。改善的地区超过了这些地区恶化的地区。然而,由于城市的扩张,新城市和爱德的生态质量有所下降,其恶化的地区超过了改善的地区。在三个受保护的生态区中,紫金山国家森林公园的质量明显好于La山和江新洲。总体而言,城市化率和RSEI表现出较高的负相关系数值(-0.76)。南京的城市化进程引起了生态质量的下降趋势,这表明需要强有力的保护措施来维护或改善其生态环境。恶化的地区超过了改善的地区。在三个受保护的生态区中,紫金山国家森林公园的质量明显好于La山和江新洲。总体而言,城市化率和RSEI表现出较高的负相关系数值(-0.76)。南京的城市化进程引起了生态质量的下降趋势,这表明需要强有力的保护措施来维护或改善其生态环境。恶化的地区超过了改善的地区。在三个受保护的生态区中,紫金山国家森林公园的质量明显好于La山和江新洲。总体而言,城市化率和RSEI表现出较高的负相关系数值(-0.76)。南京的城市化进程引起了生态质量的下降趋势,这表明需要强有力的保护措施来维护或改善其生态环境。
更新日期:2020-05-11
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