Air quality modeling with WRF-Chem v3.5 in East Asia: Sensitivity to emissions and evaluation of simulated air quality

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Title:	Air quality modeling with WRF-Chem v3.5 in East Asia: Sensitivity to emissions and evaluation of simulated air quality
Authors:	林能暉;Zhong, Min;Saikawa, Eri;Liu, Yang;Naik, Vaishali;Horowitz, Larry W.;Takigawa, Masayuki;Zhao, Yu;Lin, Neng-Huei;Stone, Elizabeth A.
Contributors:	地球科學學院大氣科學學系
Keywords:	Aerosols;Air;Air pollution;Air quality;Air quality models;Analysis;Atmospheric models;Atmospheric research;Carbon;Carbon monoxide emissions;Chemistry;Computer simulation;Emission inventories;Emissions;Geographical distribution;Meteorological research;Mixing ratio;Modelling;Nitrogen compounds;Nitrogen oxides;Numerical weather prediction;Outdoor air quality;Ozone;Particulate matter;Pollutants;Regional variations;Seasonal variation;Sensitivity analysis;Simulation;Spatial discrimination;Spatial distribution;Spatial resolution;Studies;Sulfur dioxide;Weather forecasting
Date:	2016-04-01
Issue Date:	2026-04-21 14:13:00 (UTC+8)
Publisher:	Copernicus Gesellschaft mbH;Katlenburg-Lindau: Copernicus GmbH
Abstract:	摘要： We conducted simulations using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) version 3.5 to study air quality in East Asia at a spatial resolution of 20 km × 20 km. We find large discrepancies between two existing emissions inventories: the Regional Emission Inventory in ASia version 2 (REAS) and the Emissions Database for Global Atmospheric Research version 4.2 (EDGAR) at the provincial level in China, with maximum differences of up to 500 % for CO emissions, 190 % for NO, and 160 % for primary PM10. Such discrepancies in the magnitude and the spatial distribution of emissions for various species lead to a 40–70 % difference in surface PM10 concentrations, 16–20 % in surface O3 mixing ratios, and over 100 % in SO2 and NO2 mixing ratios in the polluted areas of China. WRF-Chem is sensitive to emissions, with the REAS-based simulation reproducing observed concentrations and mixing ratios better than the EDGAR-based simulation for July 2007. We conduct additional model simulations using REAS emissions for January, April, July, and October of 2007 and evaluate simulations with available ground-level observations. The model results illustrate clear regional variations in the seasonal cycle of surface PM10 and O3 over East Asia. The model meets the air quality model performance criteria for both PM10 (mean fractional bias, MFB ⩽ ±60 %) and O3 (MFB ⩽ ±15 %) at most of the observation sites, although the model underestimates PM10 over northeastern China in January. The model predicts the observed SO2 well at sites in Japan, while it tends to overestimate SO2 in China in July and October. The model underestimates observed NO2 in all 4 months. Our study highlights the importance of constraining emissions at the provincial level for regional air quality modeling over East Asia. Our results suggest that future work should focus on the improvement of provincial-level emissions especially estimating primary PM, SO2, and NOx. 出版者： Katlenburg-Lindau: Copernicus GmbH 出版日期： 2016-04-01 出處： Geoscientific Model Development, 2016-04, Vol.9 (3), p.1201-1218 資源來源： Publicly Available Content Database 版權： COPYRIGHT 2016 Copernicus GmbH 版權： 2016. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 識別號： ISSN: 1991-9603 識別號： ISSN: 1991-959X 識別號： ISSN: 1991-962X 識別號： EISSN: 1991-9603 識別號： EISSN: 1991-962X 識別號： DOI: 10.5194/gmd-9-1201-2016
Appears in Collections:	[Department of Atmospheric Sciences] journal & Dissertation

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