Assessing the impact of urban form and urbanization process on tropospheric nitrogen dioxide pollution in the Yangtze River Delta, China

被引:3
|
作者
Gao, Yuanyun [1 ,2 ,3 ]
Wang, Shuntian [4 ,5 ]
Zhang, Chengxin [2 ]
Xing, Chengzhi [1 ]
Tan, Wei [1 ]
Wu, Hongyu [6 ]
Niu, Xinhan [2 ]
Liu, Cheng [1 ,2 ]
机构
[1] Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
[2] Univ Sci & Technol China, Dept Precis Machinery & Precis Instrumentat, Hefei 230026, Peoples R China
[3] Minist Ecol & Environm China, Nanjing Inst Environm Sci, 8 Jiang Wang Miao St, Nanjing 210042, Peoples R China
[4] Swiss Fed Inst Technol, Swiss Fed Inst Technol, Dept Civil Environm & Geomatic Engn, Ecol Syst Design,Inst Environm Engn, CH-8093 Zurich, Switzerland
[5] Swiss Fed Inst Technol, Inst Sci Technol & Policy ISTP, Swiss Fed Inst Technol, Dept Humanities Social & Polit Sci, CH-8092 Zurich, Switzerland
[6] Univ Sci & Technol China, Sch Environm Sci & Optoelect Technol, Hefei 230026, Peoples R China
基金
中国国家自然科学基金;
关键词
Air pollution; Nitrogen dioxide; Urbanization; Urban form; GEOGRAPHICALLY WEIGHTED REGRESSION; AIR-QUALITY; HIGH-RESOLUTION; MAX-DOAS; PM2.5; CONCENTRATION; STRATOSPHERIC NO2; RANDOM FOREST; OMI; VALIDATION; MODEL;
D O I
10.1016/j.envpol.2023.122436
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Optimizing urban form through urban planning and management policies can improve air quality and transition to demand-side control. Nitrogen dioxide (NO2) in the urban atmosphere, mainly emitted by anthropogenic sources such as industry and vehicles, is a key precursor of fine particles and ozone pollution. Both NO2 and its secondary pollutants pose health risks for humans. Here we assess the interactions between urban forms and airborne NO2 pollution in different cities with various stages of urbanization in the Yangtze River Delta (YRD) in China, by using the machine learning and geographical regression model. The results reveal a strong correlation between urban fragmentation and tropospheric NO2 vertical column density (TVCD) in YRD cities in 2020, particularly those with lower or higher levels of urbanization. The correlation coefficients (R2) between NO2 TVCD and the largest patch index (a metric of urban fragmentation) in different cities are greater than 0.8. For cities at other urbanization stages, population and road density are strongly correlated with NO2 TVCD, with an R2 larger than 0.61. This study highlights the interdependence among urbanization, urban forms, and air pollution, emphasizing the importance of customized urban landscape management strategies for mitigating urban air pollution.
引用
收藏
页数:9
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