Title | The deposition mapping of polycyclic aromatic hydrocarbons in megacity Shanghai, China |
Authors | Li, Ye Huang, Ye Yuan, Lina He, Yue Yin, Guoyu He, Tianhao He, Erkai Ding, Fangfang Xia, Haibin Xu, Haoran Liu, Min Tao, Shu |
Affiliation | East China Normal Univ, Sch Geog Sci, Key Lab Geog Informat Sci, Minist Educ, 500 Dongchuan Rd, Shanghai 200241, Peoples R China Peking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China |
Keywords | GEOGRAPHICALLY WEIGHTED REGRESSION DRY DEPOSITION ATMOSPHERIC CONCENTRATIONS WET DEPOSITION PAHS URBAN EMISSIONS EXPOSURE REGION RISK |
Issue Date | 5-Feb-2023 |
Publisher | JOURNAL OF HAZARDOUS MATERIALS |
Abstract | The deposition of polycyclic aromatic hydrocarbon (PAHs) has far-reaching impacts on Earth's surface system and human health. However, a comprehensive understanding of PAHs' deposition in a high urbanized area is still lacking because of limited field measurements data and rough resolution of current models. In this research, a deposition map of PAHs with a resolution of 2 x 2 km in megacity Shanghai, China was established. Gridded annual total deposition of PAHs from July 2020 to June 2021 ranged from 385 to 10,631 ng/(m(2).d), with a mean value of 2,611 ng/(m(2).d). The highest PAHs deposition was found over the downtown Shanghai, which received 4.3 times the deposition flux of outlying areas. About 77 % of area in Shanghai was dominated by wet deposition which accounted for 62 % of total deposition in Shanghai. The total deposition showed a trend of summer>fall>spring>winter, which was similar to that of the amount of rain. Source apportionment and geographically weighted regression analysis showed that built-up land and human activities are key driving factors of PAHs' deposition in Shanghai. Our results suggest that intensive human activities could alter the PAHs deposition distribution in Shanghai, and improve the understanding of PAHs' environmental behavior in high urbanized area. |
URI | http://hdl.handle.net/20.500.11897/657866 |
ISSN | 0304-3894 |
DOI | 10.1016/j.jhazmat.2022.130173 |
Indexed | EI SCI(E) |
Appears in Collections: | 城市与环境学院 地表过程分析与模拟教育部重点实验室 |