Literature DB >> 29258040

Spatial-temporal variation characteristics of air pollution in Henan of China: Localized emission inventory, WRF/Chem simulations and potential source contribution analysis.

Shuhan Liu1, Shenbing Hua2, Kun Wang3, Peipei Qiu4, Huanjia Liu1, Bobo Wu1, Pangyang Shao1, Xiangyang Liu1, Yiming Wu1, Yifeng Xue5, Yan Hao1, Hezhong Tian6.   

Abstract

Henan is the most populous province and one of the most seriously polluted areas in China at present. In this study, we establish an integrated atmospheric emission inventory of primary air pollutants in Henan province for the target year of 2012. The inventory developed here accounts for detailed activity levels of 11 categories of primary anthropogenic emission sources, and determines the best available representation of emission factors. Further, we allocate the annual emissions into a high spatial resolution of 3km×3km with ArcGIS methodology and surrogate indices, such as regional population distribution and gross domestic product (GDP). Our results show that the emissions of VOCs, SO2, PM10, PM2.5, NOX, NH3, CO, BC and OC are about 1.15, 1.24, 1.29, 0.70, 1.93, 1.05, 7.92, 0.27 and 0.25milliontons, respectively. The majority of these pollutant emissions comes from the Central Plain Urban Agglomeration (CPUA) region, particularly Zhengzhou and Pingdingshan. By combining with the emission inventory with the WRF/Chem modeling and backward trajectory analysis, we investigate the temporal and spatial variability of air pollution in the province and explore the causes of higher pollutants concentrations in the region of CPUA during the heavily polluted period of January. The results demonstrate that intensive pollutants emissions and unfavorable meteorological conditions are the main causes of the heavy pollution. Besides, Weighted Potential Source Contribution Function (WPSCF) analysis indicates that local emissions remain the major contributor of PM2.5 in Henan province, although emissions from the neighboring provinces (e.g. Shanxi, Shaanxi, Anhui, and Shandong) are also important contributors.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Emission inventory; Henan province of China; Spatial and temporal variation; WPSCF; WRF/Chem

Year:  2017        PMID: 29258040     DOI: 10.1016/j.scitotenv.2017.12.102

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  7 in total

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Authors:  Qingxia Ma; Weisi Wang; Dexin Liu; Rongke Zhao; Jingqi Zhao; Wanlong Li; Yanfang Pan; Daizhou Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-05-25       Impact factor: 4.614

2.  Estimating Ground-Level Concentrations of Multiple Air Pollutants and Their Health Impacts in the Huaihe River Basin in China.

Authors:  Deying Zhang; Kaixu Bai; Yunyun Zhou; Runhe Shi; Hongyan Ren
Journal:  Int J Environ Res Public Health       Date:  2019-02-16       Impact factor: 3.390

3.  Global and Geographically and Temporally Weighted Regression Models for Modeling PM2.5 in Heilongjiang, China from 2015 to 2018.

Authors:  Qingbin Wei; Lianjun Zhang; Wenbiao Duan; Zhen Zhen
Journal:  Int J Environ Res Public Health       Date:  2019-12-14       Impact factor: 3.390

4.  A high-resolution typical pollution source emission inventory and pollution source changes during the COVID-19 lockdown in a megacity, China.

Authors:  Xue Hu; Qizhen Liu; Qingyan Fu; Hao Xu; Yin Shen; Dengguo Liu; Yue Wang; Haohao Jia; Jinping Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2021-04-16       Impact factor: 4.223

5.  Uncovering the characteristics of air pollutants emission in industrial parks and analyzing emission reduction potential: case studies in Henan, China.

Authors:  Gengyu Gao; Shanshan Wang; Ruoyu Xue; Donghui Liu; He Ren; Ruiqin Zhang
Journal:  Sci Rep       Date:  2021-12-09       Impact factor: 4.379

6.  Spatiotemporal Heterogeneity and the Key Influencing Factors of PM2.5 and PM10 in Heilongjiang, China from 2014 to 2018.

Authors:  Longhui Fu; Qibang Wang; Jianhui Li; Huiran Jin; Zhen Zhen; Qingbin Wei
Journal:  Int J Environ Res Public Health       Date:  2022-09-15       Impact factor: 4.614

7.  Spatio-temporal variations and factors of a provincial PM2.5 pollution in eastern China during 2013-2017 by geostatistics.

Authors:  Xue Sun; Xiao-San Luo; Jiangbing Xu; Zhen Zhao; Yan Chen; Lichun Wu; Qi Chen; Dan Zhang
Journal:  Sci Rep       Date:  2019-03-05       Impact factor: 4.379

  7 in total

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