Identifying urban haze islands and extracting their spatial features

被引:17
作者
Zhu, Lei [1 ]
Huang, Qingxu [1 ,2 ]
Ren, Qiang [1 ,2 ]
Yue, Huanbi [1 ,2 ]
Jiao, Chentai [1 ]
He, Chunyang [1 ,2 ]
机构
[1] Beijing Normal Univ, Ctr Human Environm Syst Sustainabil CHESS, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Sch Nat Resources, Beijing 100875, Peoples R China
基金
中国国家自然科学基金;
关键词
PM2.5; Urban-rural gradient; Modified sigmoid function; Urban sustainability; China; AIR-POLLUTION; PM2.5; CONCENTRATIONS; SPATIOTEMPORAL PATTERNS; CHINESE CITIES; URBANIZATION; IMPACT; SITES; CITY; DISEASES; QUALITY;
D O I
10.1016/j.ecolind.2020.106385
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Air pollution has great impacts on both human health and economic development. The difference in air pollution concentrations between urban and rural areas (urban haze island) is a widespread phenomenon. However, a method that can effectively depict the features of this phenomenon remains lacking. This study developed a method based on the concentric ring approach and modified sigmoid function to identify urban haze islands and extract three features: the background value of urban haze islands (BUHI), the intensity of urban haze islands (IUHI) and the extent of urban haze islands (EUHI). Using this method, we analyzed the PM2.5 concentration data from 346 Chinese cities in 2016 and examined the spatial characteristics and driving factors of the three features of urban haze islands. The results showed that about two-thirds (218/346) of Chinese cities had a significant urban haze island phenomenon, with an average BUHI of 36.8 mu g/m(3), an IUHI of 11.3 mu g/m(3), and an EUHI of 7.7 km. The developed method can successfully capture the variations of PM2.5 concentration, and the RMSE of the fitting curve was 0.46 mu g/m(3). On the national scale, natural factors had a greater impact (with the standardized regression coefficients varying from -0.74 similar to 0.80) on the BUHI and IUHI than socioeconomic factors (-0.32 similar to 0.32), while socioeconomic factors had a greater impact (0.29 similar to 0.38) on the EUHI than natural factors (-0.23 similar to 0.17). This study proposes a new and simple method to identify urban haze islands with high efficiency and wide applicability. Our results can be helpful for understanding urban-rural environmental differences and providing guidance for policymakers.
引用
收藏
页数:11
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