Literature DB >> 26176632

City as a major source area of fine particulate (PM2.5) in China.

Lijian Han1, Weiqi Zhou2, Weifeng Li3.   

Abstract

The PM2.5 concentration in 31% of China's territorial areas was less than 10 μg/m(3), and in 26% of China's territorial areas was higher than 35 μg/m(3). High concentrations of PM2.5 were found in the East China Plain, Sichuan province, and the Taklimakan desert. East China Plain was also found with strong significant positive trends. 73% of artificial surface (L01) was found with significant positive trends, but only 2% with significant negative trends. 76% of cropland (L02) was observed with significant positive trends, but only 2% with significant negative trends. The mean significant trends of PM2.5 concentration were 1.81 μg/m(3)·year for L01 and 1.71 μg/m(3)·year for L02, higher than that for the rest land covers. The PM2.5 pollution brought potential health risk to susceptible population: only 1% of thm lives at a safe level (<10 μg/m(3)), but 69% of them were exposed to heavy PM2.5 pollution (>35 μg/m(3)).
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Health risk; Land cover; Susceptible population; Urban air quality; Urbanization

Mesh:

Substances:

Year:  2015        PMID: 26176632     DOI: 10.1016/j.envpol.2015.06.038

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  12 in total

1.  Understanding Land System Change Through Scenario-Based Simulations: A Case Study from the Drylands in Northern China.

Authors:  Zhifeng Liu; Peter H Verburg; Jianguo Wu; Chunyang He
Journal:  Environ Manage       Date:  2016-12-22       Impact factor: 3.266

2.  Change in Environmental Benefits of Urban Land Use and Its Drivers in Chinese Cities, 2000-2010.

Authors:  Xiaoqing Song; Kang-Tsung Chang; Liang Yang; Jürgen Scheffran
Journal:  Int J Environ Res Public Health       Date:  2016-05-26       Impact factor: 3.390

3.  Spatiotemporal Pattern of PM2.5 Concentrations in Mainland China and Analysis of Its Influencing Factors using Geographically Weighted Regression.

Authors:  Jieqiong Luo; Peijun Du; Alim Samat; Junshi Xia; Meiqin Che; Zhaohui Xue
Journal:  Sci Rep       Date:  2017-01-12       Impact factor: 4.379

4.  Spatiotemporal Changes in Fine Particulate Matter Pollution and the Associated Mortality Burden in China between 2015 and 2016.

Authors:  Luwei Feng; Bo Ye; Huan Feng; Fu Ren; Shichun Huang; Xiaotong Zhang; Yunquan Zhang; Qingyun Du; Lu Ma
Journal:  Int J Environ Res Public Health       Date:  2017-10-30       Impact factor: 3.390

5.  The Spatial-Temporal Characteristics and Influential Factors of NOx Emissions in China: A Spatial Econometric Analysis.

Authors:  Beidi Diao; Lei Ding; Panda Su; Jinhua Cheng
Journal:  Int J Environ Res Public Health       Date:  2018-07-04       Impact factor: 3.390

6.  How Did Urban Land Expand in China between 1992 and 2015? A Multi-Scale Landscape Analysis.

Authors:  Min Xu; Chunyang He; Zhifeng Liu; Yinyin Dou
Journal:  PLoS One       Date:  2016-05-04       Impact factor: 3.240

7.  Detecting PM2.5's Correlations between Neighboring Cities Using a Time-Lagged Cross-Correlation Coefficient.

Authors:  Fang Wang; Lin Wang; Yuming Chen
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

8.  Multicontaminant air pollution in Chinese cities.

Authors:  Lijian Han; Weiqi Zhou; Steward Ta Pickett; Weifeng Li; Yuguo Qian
Journal:  Bull World Health Organ       Date:  2018-02-05       Impact factor: 9.408

9.  A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities.

Authors:  Fang Wang; Lin Wang; Yuming Chen
Journal:  Sci Rep       Date:  2018-05-10       Impact factor: 4.379

10.  A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities.

Authors:  Chiou-Jye Huang; Ping-Huan Kuo
Journal:  Sensors (Basel)       Date:  2018-07-10       Impact factor: 3.576

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