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长江三角洲夏季一次典型臭氧污染过程的模拟
引用本文:张亮,朱彬,高晋徽,康汉青,杨鹏,王红磊,李月娥,邵平.长江三角洲夏季一次典型臭氧污染过程的模拟[J].环境科学,2015,36(11):3981-3988.
作者姓名:张亮  朱彬  高晋徽  康汉青  杨鹏  王红磊  李月娥  邵平
作者单位:南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044;南京信息工程大学, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶-云-降水重点开放实验室, 南京 210044
基金项目:国家自然科学基金项目(41275143); 公益性行业(气象)科研专项(201206011); 江苏省高校自然科学研究重大基础研究项目(12KJA170003)
摘    要:利用WRF/Chem空气质量模式对长江三角洲夏季一次典型臭氧(O3)污染过程的时空分布特征和物理化学机制进行了数值模拟研究.结果表明,模式能够合理地再现这次长江三角洲夏季典型O3污染过程的时空分布特征和演变规律.2013年8月10~18日,长江三角洲主要受副热带高压影响,晴天、高温和小风的气象条件有利于光化学污染的形成.模拟结果表明,长江三角洲地区气象场、地理位置、区域输送和化学生成都对O3的时空分布有影响.敏感性实验表明,上海O3浓度在海洋性气流影响下较低,但上海排放源对长江三角洲O3浓度时空分布的影响较为显著;南京近地面高浓度O3主要贡献为化学生成(烯烃和芳香烃)和高层O3的垂直输送,杭州和苏州近地面高浓度O3主要来源于物理过程.在O3生成速率最大时(11~13h)对O3前体物减排,对长江三角洲15:00的O3峰值浓度影响较为明显.

关 键 词:臭氧  WRF/Chem  过程分析  排放源  长江三角洲
收稿时间:2015/5/16 0:00:00
修稿时间:2015/6/23 0:00:00

Modeling Study of A Typical Summer Ozone Pollution Event over Yangtze River Delta
ZHANG Liang,ZHU Bin,GAO Jin-hui,KANG Han-qing,YANG Peng,WANG Hong-lei,LI Yue-e and SHAO Ping.Modeling Study of A Typical Summer Ozone Pollution Event over Yangtze River Delta[J].Chinese Journal of Environmental Science,2015,36(11):3981-3988.
Authors:ZHANG Liang  ZHU Bin  GAO Jin-hui  KANG Han-qing  YANG Peng  WANG Hong-lei  LI Yue-e and SHAO Ping
Institution:Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China;Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 210044, China
Abstract:WRF/Chem model was used to analyze the temporal and spatial distribution characteristics and physical and chemical mechanism of a typical summer ozone pollution event over Yangtze River Delta (YRD). The result showed that the model was capable of reproducing the temporal and spatial distribution and evolution characteristics of the typical summer ozone pollution event over YRD. The YRD region was mainly affected by the subtropical high-pressure control, and the weather conditions of sunshine, high temperature and small wind were favorable for the formation of photochemical pollution on August 10-18, 2013. The results of simulation showed that the spatial and temporal distribution of O3 was obviously affected by the meteorological fields, geographic location, regional transport and chemical formation over YRD. The sensitivity experiment showed that the O3 concentration affected by maritime airstream was low in Shanghai, but the impact of Shanghai emissions on the spatial and temporal distribution of O3 concentration over YRD was significant; The main contribution of the high concentration of O3 in Nanjing surface was chemical generation (alkene and aromatic) and the vertical transport from high-altitude O3, whereas the main contribution of the high concentration of O3 in Hangzhou and Suzhou was physics process. The influence of the 15:00 peak concentration of O3 over YRD was very obvious when O3 precursor was reduced at the maximum O3 formation rate (11-13 h).
Keywords:ozone  WRF/Chem  process analysis  emission source  Yangtze River Delta
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