利用简化空气质量模型快速构建臭氧生成等浓度曲线及其应用

doi:10.13209/j.0479-8023.2020.120

北京大学学报自然科学版 ›› 2021, Vol. 57 ›› Issue (2): 311-321.DOI: 10.13209/j.0479-8023.2020.120

利用简化空气质量模型快速构建臭氧生成等浓度曲线及其应用

杜云松¹, 黄冉^2,†, 王馨陆², 秦墨梅³, 张雯娴², 张羽中^4,5, 杨耀⁶, 张巍¹, 罗彬⁶, 胡泳涛⁷, Armistead G. Russell⁷

1. 四川省生态环境监测总站, 成都 510081 2. 杭州矮马科技有限公司, 杭州 311121 3. 南京信息工程大学环境科学与工程学院, 南京 210044 4. 西湖大学工学院, 杭州 310024 5. 浙江西湖高等研究院, 前沿技术研究所, 杭州 310024 6. 四川省环境政策研究与规划院, 成都 510081 7. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332

收稿日期:2020-01-22 修回日期:2020-03-13 出版日期:2021-03-20 发布日期:2021-03-20
通讯作者: 黄冉, E-mail: ranhuang2019(at)163.com
基金资助:
国家重点研发计划(2018YFC0214004)和四川省科技厅重点研发项目(2018SZ0316)资助

Implementing Reduced Form Model to Construct Ozone Isopleths and Its Application

DU Yunsong¹, HUANG Ran^2,†, WANG Xinlu², QIN Momei³, ZHANG Wenxian2, ZHANG Yuzhong^4,5, YANG Yao⁶, ZHANG Wei¹, LUO Bin⁶, HU Yongtao⁷, Armistead G. Russell⁷#br#

1. Sichuan Bio-Environmental Monitoring Center, Chengdu 510081 2. Hangzhou AiMa Technologies, Hangzhou 311121 3. School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044 4. School of Engineering, Westlake University, Hangzhou 310024 5. Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024 6. Sichuan Academy of Environmental Policy and Planning, Chengdu 510081 7. School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332

Received:2020-01-22 Revised:2020-03-13 Online:2021-03-20 Published:2021-03-20
Contact: HUANG Ran, E-mail: ranhuang2019(at)163.com

摘要/Abstract

摘要：

提出一种快速构建臭氧生成等浓度曲线的新方法。该方法利用区域空气质量模式进行臭氧前体物的敏感性分析, 基于一阶和二阶敏感性系数构建简化模型, 快速计算前体物不同排放水平对应的臭氧生成浓度。使用该方法, 结合调整的源排放清单, 对2018年8月成都平原地区进行臭氧回溯模拟并绘制臭氧生成等浓度曲线图。在此基础上, 以成都市为例, 对城市臭氧污染控制提出对策建议。

关键词: 臭氧前体物, CMAQ-DDM, 臭氧污染控制

Abstract:

An efficient approach to construct ozone isopleths was established. It utilizes both first- and secondorder sensitivity analysis from a regional air quality model to build a reduced form model (RFM) for calculating ozone concentrations that respond to the different levels of nitrogen oxides (NOx) and volatile organic compounds (VOCs) emissions. The approach was applied to the Chengdu Plain area by simulating the ozone concentration and its sensitivities to anthropogenic emissions for August 2018 with adjusted emissions inventory. Ozone isopleth diagrams were plotted for cities in the area. Under the guidance of ozone isopleths, effective ozone control strategies were further suggested for Chengdu city as an example.

Key words: ozone precursors, CMAQ-DDM, surface ozone pollution control

杜云松, 黄冉, 王馨陆, 秦墨梅, 张雯娴, 张羽中, 杨耀, 张巍, 罗彬, 胡泳涛, Armistead G. Russell. 利用简化空气质量模型快速构建臭氧生成等浓度曲线及其应用[J]. 北京大学学报自然科学版, 2021, 57(2): 311-321.

DU Yunsong, HUANG Ran, WANG Xinlu, QIN Momei, ZHANG Wenxian, ZHANG Yuzhong, YANG Yao, ZHANG Wei, LUO Bin, HU Yongtao, Armistead G. Russell. Implementing Reduced Form Model to Construct Ozone Isopleths and Its Application[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2021, 57(2): 311-321.

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链接本文: https://xbna.pku.edu.cn/CN/10.13209/j.0479-8023.2020.120

https://xbna.pku.edu.cn/CN/Y2021/V57/I2/311

利用简化空气质量模型快速构建臭氧生成等浓度曲线及其应用

Implementing Reduced Form Model to Construct Ozone Isopleths and Its Application

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