Effects of NO_x and VOCs from Five Emission Sources on Summer Surface O_3 over the Beijing–Tianjin–Hebei Region  被引量:13

Effects of NO_x and VOCs from Five Emission Sources on Summer Surface O_3 over the Beijing–Tianjin–Hebei Region

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作  者:QU Yu AN Junling LI Jian CHEN Yong LI Ying LIU Xingang HU Min 

机构地区:[1]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry,Institute of Atmospheric Physics, Chinese Academy of Sciences [2]State Key Laboratory of Water Environment Simulation, School of Environment,Beijing Normal University [3]State Key Joint Laboratory of Environment Simulation and Pollution Control,College of Environmental Sciences and Engineering, Peking University

出  处:《Advances in Atmospheric Sciences》2014年第4期787-800,共14页大气科学进展(英文版)

基  金:jointly supported by a key project of the Chinese Academy of Sciences (Grant No. XDB05030301);the National Natural Science Foundation of China (Grant Nos. 40905055 and 41175105);the special fund of the State Key Joint Laboratory of Environment Simulation and Pollution Control (Grant No. 13K04ESPCP)

摘  要:The impacts of emissions from industry,power plant,transportation,residential,and biogenic sources on daily maximum surface ozone (O3DM) over the Beijing-Tianjin-Hebei (BTH) region in North China in the summer of 2007 were examined in a modeling study.The modeling system consisted of the Weather Research and Forecasting (WRF) model and the photochemical dispersion model,CAMx.The factor separation technique (FST) was used to quantify the effect of individual emission source types and the synergistic interactions among two or more types.Additionally,the effectiveness of emission reduction scenarios was explored.The industry,power plant,and transportation emission source types were found to be the most important in terms of their individual effects on O3DM.The key contributor to high surface O3 was power plant emissions,with a peak individual effect of 40 ppbv in the southwestern BTH area.The individual effect from the biogenic emission category was quite low.The synergistic effects from the combinations of each pair of anthropogenic emission types suppressed O3 formation,while the synergistic effects for combinations of three were favorable for O3 formation when the industrial and power plant emission source types coexisted.The quadruple synergistic effects were positive only with the combination of power plant,transportation,residential,and biogenic sources,while the quintuple synergistic effect showed only minor impacts on O3DM concentrations.A 30% reduction in industrial and transportation sources produced the most effective impacts on O3 concentrations,with a maximum decrease of 20 ppbv.These results suggested that the synergistic impacts among emission source types should be considered when formulating emission control strategies for O3 reduction.The impacts of emissions from industry,power plant,transportation,residential,and biogenic sources on daily maximum surface ozone (O3DM) over the Beijing-Tianjin-Hebei (BTH) region in North China in the summer of 2007 were examined in a modeling study.The modeling system consisted of the Weather Research and Forecasting (WRF) model and the photochemical dispersion model,CAMx.The factor separation technique (FST) was used to quantify the effect of individual emission source types and the synergistic interactions among two or more types.Additionally,the effectiveness of emission reduction scenarios was explored.The industry,power plant,and transportation emission source types were found to be the most important in terms of their individual effects on O3DM.The key contributor to high surface O3 was power plant emissions,with a peak individual effect of 40 ppbv in the southwestern BTH area.The individual effect from the biogenic emission category was quite low.The synergistic effects from the combinations of each pair of anthropogenic emission types suppressed O3 formation,while the synergistic effects for combinations of three were favorable for O3 formation when the industrial and power plant emission source types coexisted.The quadruple synergistic effects were positive only with the combination of power plant,transportation,residential,and biogenic sources,while the quintuple synergistic effect showed only minor impacts on O3DM concentrations.A 30% reduction in industrial and transportation sources produced the most effective impacts on O3 concentrations,with a maximum decrease of 20 ppbv.These results suggested that the synergistic impacts among emission source types should be considered when formulating emission control strategies for O3 reduction.

关 键 词:O3 CAMx model synergistic effect factor separation technique emission source 

分 类 号:X51[环境科学与工程—环境工程]

 

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