期刊
ENVIRONMENTAL RESEARCH
卷 137, 期 -, 页码 308-315出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.envres.2015.01.003
关键词
Land use regression; Nitrogen dioxide; GIS; Exposure assessment; Air pollution
资金
- National Environmental Public Welfare Research Program of Ministry of Environmental Protection of China [201209008]
- National Basic Research Program (973 program) of China [2011CB503802]
- Public Welfare Research Program of National Health and Family Planning Commission of China [201402022]
- China Medical Board Collaborating Program [13-152]
- National Natural Science Foundation of China [81222036]
- Cyrus Tang Foundation [CTF2013001]
Limited by data accessibility, few exposure assessment studies of air pollutants have been conducted in China. There is an urgent need to develop models for assessing the intra-urban concentration of key air pollutants in Chinese cities. In this study, a land use regression (LUR) model was established to estimate NO2 during 2008-2011 in Shanghai. Four predictor variables were left in the final LUR model: the length of major road within the 2-km buffer around monitoring sites, the number of industrial sources (excluding power plants) within a 10-km buffer, the agricultural land area within a 5-km buffer, and the population counts. The model R-2 and the leave-one-out-cross-validation (LOOCV) R-2 of the NO2 LUR models were 0.82 and 0.75, respectively. The prediction surface of the NO2 concentration based on the LUR model was of high spatial resolution. The 1-year predicted concentration based on the ratio and the difference methods fitted well with the measured NO2 concentration. The LUR model of NO2 outperformed the kriging and inverse distance weighed (IDW) interpolation methods in Shanghai. Our findings suggest that the LUR model may provide a cost-effective method of air pollution exposure assessment in a developing country. (C) 2015 Elsevier Inc. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据