The 2013 severe haze over southern Hebei, China: model evaluation, source apportionment, and policy implications

被引:314
作者
Wang, L. T. [1 ,2 ,3 ]
Wei, Z. [1 ,2 ]
Yang, J. [1 ,2 ]
Zhang, Y. [3 ]
Zhang, F. F. [1 ,2 ]
Su, J. [1 ,2 ]
Meng, C. C. [1 ,2 ]
Zhang, Q. [4 ]
机构
[1] Hebei Univ Engn, Dept Environm Engn, Handan 056038, Hebei, Peoples R China
[2] State Environm Protect Key Lab Sources & Control, Beijing 100084, Peoples R China
[3] N Carolina State Univ, Dept Marine Earth & Atmospher Sci, Raleigh, NC 27695 USA
[4] Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
FINE PARTICULATE MATTER; AIR-QUALITY MODEL; SENSITIVITY-ANALYSIS; PART I; SEASONAL-VARIATIONS; RIVER DELTA; POLLUTION; OZONE; CMAQ; EMISSIONS;
D O I
10.5194/acp-14-3151-2014
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Extremely severe and persistent haze occurred in January 2013 over eastern and northern China. The record-breaking high concentrations of fine particulate matter (PM2.5) of more than 700 mu g m(-3) on hourly average and the persistence of the episodes have raised widespread, considerable public concerns. During that period, 7 of the top 10 polluted cities in China were within the Hebei Province. The three cities in southern Hebei (Shijiazhuang, Xingtai, and Handan) have been listed as the top three polluted cities according to the statistics for the first half of the year 2013. In this study, the Mesoscale Modeling System Generation 5 (MM5) and the Models-3/Community Multiscale Air Quality (CMAQ) modeling system are applied to simulate the 2013 severe winter regional hazes in East Asia and northern China at horizontal grid resolutions of 36 and 12 km, respectively, using the Multi-resolution Emission Inventory for China (MEIC). The source contributions of major source regions and sectors to PM2.5 concentrations in the three most polluted cities in southern Hebei are quantified by aiming at the understanding of the sources of the severe haze pollution in this region, and the results are compared with December 2007, the haziest month in the period 2001-2010. Model evaluation against meteorological and air quality observations indicates an overall acceptable performance and the model tends to underpredict PM2.5 and coarse particulate matter (PM10) concentrations during the extremely polluted episodes. The MEIC inventory is proven to be a good estimation in terms of total emissions of cities but uncertainties exist in the spatial allocations of emissions into fine grid resolutions within cities. The source apportionment shows that emissions from northern Hebei and the Beijing-Tianjin city cluster are two major regional contributors to the pollution in January 2013 in Shijiazhuang, compared with those from Shanxi and northern Hebei for December 2007. For Xingtai and Handan, the emissions from northern Hebei and Henan are important. The industrial and domestic sources are the most significant local contributors, and the domestic and agricultural emissions from Shandong and Henan are non-negligible regional sources, especially for Xingtai and Handan. Even in the top two haziest months (i.e., January 2013 and December 2007), a large fraction of PM2.5 in the three cities may originate from quite different regional sources. These results indicate the importance of establishing a regional joint framework of policymaking and action system to effectively mitigate air pollution in this area, not only over the Beijing-Tianjin-Hebei area, but also surrounding provinces such as Henan, Shandong, and Shanxi.
引用
收藏
页码:3151 / 3173
页数:23
相关论文
共 79 条
[1]  
[Anonymous], CHIN EN STAT YB 2012
[2]  
[Anonymous], 2012, CHIN STAT YB 2012
[3]  
[Anonymous], 2013, China Statistical Yearbook 2013
[4]   The Regional Particulate Matter Model .1. Model description and preliminary results [J].
Binkowski, FS ;
Shankar, U .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1995, 100 (D12) :26191-26209
[5]  
Blackadar A.K., 1976, 3 S ATMOSPHERIC TURB
[6]  
Boylan J., 2005, NAT REG PLANN ORG MO
[7]   Source apportionment of fine particulate matter over the Eastern U.S. Part II: source apportionment simulations using CAMx/PSAT and comparisons with CMAQ source sensitivity simulations [J].
Burr, Michael J. ;
Zhang, Yang .
ATMOSPHERIC POLLUTION RESEARCH, 2011, 2 (03) :318-336
[8]   Source apportionment of fine particulate matter over the Eastern U.S. Part I: source sensitivity simulations using CMAQ with the Brute Force method [J].
Burr, Michael J. ;
Zhang, Yang .
ATMOSPHERIC POLLUTION RESEARCH, 2011, 2 (03) :300-317
[9]   To What Extent Can Biogenic SOA be Controlled? [J].
Carlton, Annmarie G. ;
Pinder, Robert W. ;
Bhave, Prakash V. ;
Pouliot, George A. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2010, 44 (09) :3376-3380
[10]  
Carter W. P. L., 2000, IMPLEMENTATION SAPRC