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河南省夏季臭氧生成敏感性及其驱动因素分析
引用本文:白杨,王盼,赵鹏飞,郭建忠,王家耀. 河南省夏季臭氧生成敏感性及其驱动因素分析[J]. 遥感学报, 2022, 26(5): 988-1001
作者姓名:白杨  王盼  赵鹏飞  郭建忠  王家耀
作者单位:1.河南大学 地理与环境学院, 郑州 450046;2.河南省时空大数据技术创新中心, 郑州 450046;3.黄河中下游数字地理技术教育部重点实验室(河南大学), 开封 475004;4.河南省时空大数据产业技术研究院, 郑州 450046
基金项目:国家自然科学基金联合基金(编号: U21A2014);中国博士后科学基金(编号: 2018M640669);河南省高等学校重点科研项目(编号: 21A420001);河南省科技攻关项目(编号: 202102310014)
摘    要:明确当地臭氧生成敏感性变化的主控因子是制定有效臭氧污染控制策略的前提。采用卫星观测OMI FNR (Ratio of the tropospheric columns of Formaldehyde to Nitrogen dioxide,HCHO/NO2)指示剂将河南省夏季臭氧生成敏感性OFS (Ozone Formation Sensitivity)划分为VOCs控制区、协同控制区和NOx控制区。基于地理探测器,量化气象条件、人为源前体物及其交互作用与OFS的关系。研究揭示:(1)河南省夏季OFS以协同控制区为主,区域内臭氧污染严重,仅次于VOCS控制区。2005年—2015年,FNR值波动下降,OFS向协同控制区转变,主要受NOX减排的影响。2016年之后,FNR值变大,OFS有向NOX控制区转变的趋势。(2)人为源排放是OFS变化的主要驱动因子,平均可解释FNR变化的40.5%(q=0.405)。若CO、PM2.5、NOx和非甲烷挥发性有机物NMVOC (Non-met...

关 键 词:大气污染  臭氧生成敏感性  地理探测器  气象条件  人为源排放  交互作用
收稿时间:2021-06-02

Summertime ozone formation sensitivity and driving factors in Henan Province
BAI Yang,WANG Pan,ZHAO Pengfei,GUO Jianzhong,WANG Jiayao. Summertime ozone formation sensitivity and driving factors in Henan Province[J]. Journal of Remote Sensing, 2022, 26(5): 988-1001
Authors:BAI Yang  WANG Pan  ZHAO Pengfei  GUO Jianzhong  WANG Jiayao
Affiliation:1.College of Geography and Environmental Science, Henan University, Zhengzhou 450046, China;2.Henan Technology Innovation Center of Spatio-Temporal Big Data, Henan University, Zhengzhou 450046, China;3.Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, Kaifeng 475004, China;4.Henan Industrial Technology Academy of Spatio-Temporal Big Data, Henan University, Zhengzhou 450046, China
Abstract:Determining Ozone Formation Sensitivity (OFS) and its driving factors is conducive to formulating effective ozone pollution control strategies. This study characterizes spatial and temporal variations in OFS by calculating the ratio of formaldehyde (HCHO, a maker of VOCs) to nitrogen dioxide (NO2) in Henan Province from 2005 to 2016. The relationships of OFS with precursor emissions and meteorological factors are also analyzed.The Level 3 gridded retrievals from the Ozone Monitoring Instrument (OMI) were adopted to calculate Formaldehyde Nitrogen Ratio (FNR). Then, we took FNR<2.3 to indicate VOC-limited regime, FNR>4.2 to indicate NOx-limited regime, and FNR between 2.3 and 4.2 to indicate transitional regime. Finally, the geographic detector model (GeoDetector) was used to quantify the influence of meteorological factors, anthropogenic emission precursors, and their interactions on OFS.The OFS in Henan Province changes in time and space. Most cities are transitional regimes in summer, where the O3 concentrations are relatively higher. The drastic change in tropospheric NO2 concentration determines the increase or decrease in VOC-limited regime. From 2005 to 2015, the FNR values decreased due to NOx emission reduction, and OFS tended to be a transitional regime. After 2016, the FNR values increased, and OFS tended to be NOx-limited. Anthropogenic emissions are the main driving factor of OFS in summer, which explains 40.5% of FNR variation on average. With the increase in CO (q = 0.46), PM2.5 (q = 0.41), NOx (q = 0.38), and NMVOC (q = 0.37) emissions, the FNR value decreases, which makes OFS more sensitive to VOC emissions in summer. Its sensitivity to NOx emission reduction decreases. Surface net solar radiation (SSR, q = 0.321) and total column water (TCW, q = 0.302) are the top two meteorological factors influencing OFS in summer in Henan Province. As SSR increases, FNR decreases, which makes ozone formation more sensitive to VOCs. TCW has a complex effect on OFS. When TCW is less than 40 kg/m2, FNR decreases with the increase in TCW, and ozone formation becomes more sensitive to VOCs. When TCW is larger than 40 kg/m2, FNR increases with the rise in TCW, and ozone formation becomes more sensitive to NOx. Interaction among factors enhances the ability to explain the change in OFS. In other words, each pair of factors has a greater influence on OFS than either. The interactions between precursors and meteorological factors have the most significant influence on OFS.Research results can enhance understanding of the photochemical process of ozone formation and provide a basis for formulating reasonable pollution reduction measures. However, the applicability of the OMI FNR indicator for the classification of ground-level ozone sensitivity in various regions still needs to be strengthened. Understanding the influence of driving factors and their interactions on changes in ozone sensitivity remains a challenge due to the nonlinear relationship between ozone sensitivity and its precursors and the complex reactions between meteorological conditions and precursors.
Keywords:air pollution  ozone formation sensitivity  GeoDetector model  meteorological factors  anthropogenic emissions  interactive effects
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