| 夏季长三角地区臭氧非线性响应曲面模型的建立及应用 |
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| 引用本文： | 严茹莎,李莉,安静宇,卢清,黄成,王书肖,朱云,Carey J. Jang,Joshua S. Fu.夏季长三角地区臭氧非线性响应曲面模型的建立及应用[J].环境科学学报,2016,36(4):1383-1392. |
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| 作者姓名： | 严茹莎 李莉 安静宇 卢清 黄成 王书肖 朱云 Carey J. Jang Joshua S. Fu |
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| 作者单位： | 1. 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 上海市环境科学研究院, 上海 200233,1. 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 上海市环境科学研究院, 上海 200233,1. 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 上海市环境科学研究院, 上海 200233,1. 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 上海市环境科学研究院, 上海 200233,1. 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 上海市环境科学研究院, 上海 200233,清华大学环境学院, 北京 100084,华南理工大学环境与能源学院, 广州 510006,Air Quality Modeling Group, Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, NC 27711, USA,Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, 37996,USA |
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| 基金项目： | 国家科技支撑计划项目(No.2014BAC22B03);上海市科委科技攻关项目(No.14DZ1202905);上海市环境保护局重大课题研究项目(No.沪环科(2014-01)) |
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| 摘 要： | 2013年8月上旬,长三角地区发生了一次大范围高浓度臭氧污染事件.本研究基于WRF-CMAQ空气质量模型系统,结合长三角地区大气污染物排放清单,构建了臭氧与其前体物之间的非线性响应曲面模型(Response surface modeling,RSM).基于RSM探讨了长三角地区O_3化学的敏感性特征,分析了上海市O_3的来源并预测不同情景下O_3的变化,提出O_3污染的最优控制方案.研究结果表明,长三角地区夏季O3主控因素区域差别较大,上海环科院、杭州卧龙桥、南京玄武湖等城区点位属于VOC控制型;徐州铜山、合肥肥西、丽水青田等郊区属于NOx控制型.O_3的敏感性特征在不同浓度水平下也呈现较大差异,随着O_3浓度水平的升高,各地区NOx敏感性均有所增加.从区域来源来看,远距离传输对平日上海O_3贡献较大,占50%以上;而在O_3污染日,本地及区域贡献为72.1%,而远距离传输贡献下降至27.9%.快速预测了110组减排情景,表明在本地及区域前体物均减排70%的情况下,2013年8月上海O_3浓度能完全达标.
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| 关 键 词： | 臭氧 非线性响应曲面 CMAQ 长三角 |
| 收稿时间： | 2015/3/30 0:00:00 |
| 修稿时间： | 2015/9/27 0:00:00 |
Establishment and application of nonlinear response surface model of ozone in the Yangtze River Delta region during summertime |
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| YAN Rush,LI Li,AN Jingyu,LU Qing,HUANG Cheng,WANG Shuxiao,ZHU Yun,Carey J. Jang and Joshua S. Fu.Establishment and application of nonlinear response surface model of ozone in the Yangtze River Delta region during summertime[J].Acta Scientiae Circumstantiae,2016,36(4):1383-1392. |
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| Authors: | YAN Rush LI Li AN Jingyu LU Qing HUANG Cheng WANG Shuxiao ZHU Yun Carey J Jang and Joshua S Fu |
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| Institution: | 1. State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233;2. Shanghai Academy of Environmental Sciences, Shanghai 200233,1. State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233;2. Shanghai Academy of Environmental Sciences, Shanghai 200233,1. State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233;2. Shanghai Academy of Environmental Sciences, Shanghai 200233,1. State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233;2. Shanghai Academy of Environmental Sciences, Shanghai 200233,1. State Environmental Protection Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai 200233;2. Shanghai Academy of Environmental Sciences, Shanghai 200233,School of Environment, Tsinghua University, Beijing 100084,College of Environment and Energy, South China University of Technology, Guangzhou 510006,Air Quality Modeling Group, Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency, NC 27711, USA and Civil and Environmental Engineering, University of Tennessee, Knoxville, TN, 37996,USA |
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| Abstract: | A large-scale ozone pollution episode occurred in early August 2013 in the Yangtze River Delta region. In this paper, the response surface model (RSM) was employed to build the functional relationships between ozone precursors (NOx and VOC) emissions and ozone concentration based on WRF-CMAQ air quality model and emission inventories of anthropogenic air pollutants in the Yangtze River Delta region. Sensitivity characteristics of ozone chemistry, source contributions of ozone and variations of ozone concentrations under different scenarios were analyzed, and the optimal control scheme based on case study was proposed. The dominant control factors for ozone pollution showed clear regional differences in the Yangtze River Delta region. The urban sites such as Shanghai Academy of Environmental Sciences, Hangzhou Wolong Bridge and Nanjing Xuanwu Lake were VOC-limited, while the rural areas such as Xuzhou Tongshan, Hefei Feixi, Lishui Qingtian were NOx-limited. The sensitivity characteristics of ozone were dependent on its concentrations. With the increase of ozone concentration, all areas presented higher sensitivity to NOx. The long-distance transport contributed more than 50% of ozone pollution in Shanghai on usual days. During pollution episodes, local and regional sources contributed 72.1%, while long-distance transport contribution decreased to 27.9%. By estimating ozone concentrations for 110 groups of scenarios by RSM, we concluded that ozone concentration would achieve attainment if the emission of ozone precursors from both local and regional sources were reduced by 70% in August 2013 in Shanghai. |
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| Keywords: | ozone response surface model(RSM) CMAQ YRD Region |
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