Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment

Litao Wang; Carey Jang; Yang Zhang; Kai Wang; Qiang Zhang; David Streets; Joshua Fu; Yu Lei; Jeremy Schreifels; Kebin He; Jiming Hao; Yun-Fat Lam; Jerry Lin; Nicholas Meskhidze; Scott Voorhees; Dale Evarts; Sharon Phillips

HERO ID

809027

Reference Type

Journal Article

Year

2010

Language

English

HERO ID 809027
In Press No
Year 2010
Title Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment
Authors Litao Wang; Carey Jang; Yang Zhang; Kai Wang; Qiang Zhang; David Streets; Joshua Fu; Yu Lei; Jeremy Schreifels; Kebin He; Jiming Hao; Yun-Fat Lam; Jerry Lin; Nicholas Meskhidze; Scott Voorhees; Dale Evarts; Sharon Phillips
Journal Atmospheric Environment
Volume 44
Issue 28
Page Numbers 3449-3457
Abstract Following the meteorological evaluation in Part I, this Part II paper presents the statistical evaluation of air quality predictions by the U.S. Environmental Protection Agency (U.S. EPA)'s Community Multi-Scale Air Quality (Models-3/CMAQ) model for the four simulated months in the base year 2005. The surface predictions were evaluated using the Air Pollution Index (API) data published by the China Ministry of Environmental Protection (MEP) for 31 capital cities and daily fine particulate matter (PM(2.5), particles with aerodiameter less than or equal to 2.5 mu m) observations of an individual site in Tsinghua University (THU). To overcome the shortage in surface observations, satellite data are used to assess the column predictions including tropospheric nitrogen dioxide (NO(2)) column abundance and aerosol optical depth (AOD). The result shows that CMAQ gives reasonably good predictions for the air quality. The air quality improvement that would result from the targeted sulfur dioxide (SO(2)) and nitrogen oxides (NO(x)) emission controls in China were assessed for the objective year 2010. The results show that the emission controls can lead to significant air quality benefits. SO(2) concentrations in highly polluted areas of East China in 2010 are estimated to be decreased by 30-60% compared to the levels in the 2010 Business-As-Usual (BAU) case. The annual PM(2.5) can also decline by 3-15 mu g m(-3) (4-25%) due to the lower SO(2) and sulfate concentrations. If similar controls are implemented for NO(x) emissions, NO(x) concentrations are estimated to decrease by 30-60% as compared with the 2010 BAU scenario. The annual mean PM(2.5) concentrations will also decline by 2-14 mu g m(-3) (3-12%). In addition, the number of ozone (O(3)) non-attainment areas in the northern China is projected to be much lower, with the maximum 1-h average O(3) concentrations in the summer reduced by 8-30 ppb. (C) 2010 Elsevier Ltd. All rights reserved.
Doi 10.1016/j.atmosenv.2010.05.058
Wosid WOS:000280891800013
Url http://linkinghub.elsevier.com/retrieve/pii/S1352231010004826
Is Certified Translation No
Dupe Override No
Comments Source: Web of Science WOS:000280891800013
Is Public Yes
Language Text English
Keyword Air pollution in China;Air quality modeling;Emission control;MM5/CMAQ;11th FYP
Is Qa No
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