Publication Date:
2012-02-16
Description:
Population exposure to pollutants is important for studies on the exposure-response relationship. However, it is difficult to evaluate population exposure to non-conventional pollutants due to limited data on concentration levels and the movement patterns of inhabitants. In this study, an air dispersion model was used to simulate N, N-dimethylformamide (DMF) concentrations, as a proxy to monitoring concentrations. A total of 1289 randomly selected household representatives were surveyed to obtain information on movement characteristics. Subsequently, population movement patterns were combined with DMF concentration levels on maps of 100 m×100 m resolution to calculate population exposure. During 2008, the estimated population exposure to DMF ranged from 0.002 to 0.64 mg/m 3 . The highest level of population exposure to DMF was found in the north and northwest sub-districts of the study area, ranging from 0.42 to 0.64 mg/m 3 . The population exposure to DMF for different occupational groups indicated that retired people and farmers were vulnerable subpopulations among people highly exposed to DMF. This was mainly because they spent most time at home where the DMF concentration was high. As pollutant concentrations were divided into small grids, we found that exposure levels were substantially impacted by population movement characteristics. Content Type Journal Article Pages 794-806 DOI 10.1631/jzus.A11b0381 Authors Yu-mei Wei, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Wei-li Tian, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Qing-yu Zhang, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Ying-yue Zheng, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Yi-ke Yang, Management Office of the New Rural Cooperative Medical Service, Longwan District Health Bureau, Wenzhou, 325011 China Zu-cheng Wu, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Qi Zhu, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Lei Zhou, Department of Environmental Engineering, Zhejiang University, Hangzhou, 310027 China Si-mai Fang, Department of Information Management, University of International Business and Economics, Beijing, 100029 China Journal Journal of Zhejiang University - Science A Online ISSN 1862-1775 Print ISSN 1673-565X Journal Volume Volume 12 Journal Issue Volume 12, Number 10
Print ISSN:
1673-565X
Electronic ISSN:
1862-1775
Topics:
Natural Sciences in General
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