Abstract

Regional aerosol model calculations were made using the Weather Research and Forecasting (WRF)‐Community Multiscale Air Quality (CMAQ) and WRF‐chem models to study spatial and temporal variations of aerosols around Beijing, China, in the summer of 2006, when the Campaigns of Air Quality Research in Beijing and Surrounding Region 2006 (CAREBeijing) intensive campaign was conducted. Model calculations captured temporal variations of primary (such as elemental carbon (EC)) and secondary (such as sulfate) aerosols observed in and around Beijing. The spatial distributions of aerosol optical depth observed by the MODIS satellite sensors were also reproduced over northeast China. Model calculations showed distinct differences in spatial distributions between primary and secondary aerosols in association with synoptic‐scale meteorology. Secondary aerosols increased in air around Beijing on a scale of about 1000 × 1000 km2 under an anticyclonic pressure system. This air mass was transported northward from the high anthropogenic emission area extending south of Beijing with continuous photochemical production. Subsequent cold front passage brought clean air from the north, and polluted air around Beijing was swept to the south of Beijing. This cycle was repeated about once a week and was found to be responsible for observed enhancements/reductions of aerosols at the intensive measurement sites. In contrast to secondary aerosols, the spatial distributions of primary aerosols (EC) reflected those of emissions, resulting in only slight variability despite the changes in synoptic‐scale meteorology. In accordance with these results, source apportionment simulations revealed that primary aerosols around Beijing were controlled by emissions within 100 km around Beijing within the preceding 24 h, while emissions as far as 500 km and within the preceding 3 days were found to affect secondary aerosols.

Highlights

  • Title Spatial and temporal variations of aerosols around Beijing in summer 2006: Model evaluation and source apportionment

  • The DCO/DCO2 ratio showed reasonable agreement between observations and model calculations (Figure 3a), while model calculated NOx/DCO, SOx (= SO2 + SO42À)/DCO, EC/DCO, and POC/DCO ratios were systematically greater than observations by factors of 1.9, 4.1, 2.1, and 1.9, respectively (Figures 3b– 3e). These results show that there are some inconsistencies in emission data among the species presented here, and the model calculations cannot agree with all of the observed species simultaneously

  • [54] When we compared the results of the Weather Research and Forecasting (WRF)-chem model with those of the WRF-Community Multiscale Air Quality (CMAQ) model at the Peking University (PKU) and Yufa sites, it was found that concentrations of primary species, such as carbon monoxide (CO), NOx, SO2, POC, and EC, were generally greater in the WRF-chem model (Tables 4 and 6)

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Summary

Introduction

[2] In East Asia, recent rapid growth of industrial activity has been causing a large increase in emissions of pollutants such as aerosols and their precursor gases. An et al [2007] calculated PM2.5 and PM10 concentrations around Beijing using the Community Multiscale Air Quality (CMAQ) model, and compared modeling results with measured PM concentrations and aerosol optical depth (AOD) during a high concentration episode in April 2005. They reported that the percentage contribution of non-Beijing sources was about 39 and 15% in the northwest and southwest regions of urban Beijing. They showed that, on annual average, 35% of PM10 came from sources outside Beijing These studies suggested the importance of a regional-scale viewpoint to understand aerosol concentrations in Beijing. Level 2 Terra and Aqua AOD data (MOD04_L2) are used

Regional Three-Dimensional Model
WRF-chem Calculations and Comparison With WRF-CMAQ
Summary
Definitions for Statistical Evaluation
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