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基于响应曲面法的臭氧生成敏感性分析 被引量:1

Sensitivity Analysis of Ozone Formation Using Response Surface Methodology
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摘要 准确判断臭氧(O_(3))生成敏感性对O_(3)污染成因分析和防控对策的制定至关重要.首次利用响应曲面方法设计最优试验方案,基于盒子模式模拟结果,快速量化O_(3)对其前体物变化的响应.结果表明,CO对O_(3)有正贡献,NO_(x)和VOCs与O_(3)呈现显著非线性关系,当φ(VOCs)与[φ(NO_(x))-13.75]比值大于4.17时,为NO_(x)控制区,小于4.17时,为VOCs控制区;烯烃为影响O_(3)生成的关键VOCs组分,当φ(烯烃)与[φ(NO_(x))-15]比值小于1.10且φ(烯烃)<35×10^(-9)时,烯烃有利于O_(3)的生成.响应曲面法在多因素和其交互作用对O_(3)生成影响的研究中取得了良好效果,为高效判断O_(3)敏感性提供了新的思路和方法. Identifying the nonlinear relationship between O_(3) and its precursors accurately plays an important role for the policy-making of O_(3) pollution control.In this study,the response surface methodology based on the box model simulation was used to quickly and efficiently quantify the O_(3) response to their precursors with the optimal experimental design.The results showed that CO had a positive contribution to ozone generation,whereas NO_(x) and VOCs had a significant nonlinear relationship with O_(3).When the ratio of φ(VOCs)to[φ(NO_(x))-13.75]was greater than 4.17,the ozone formation regime was NO_(x)-limited and became VOCs-limited when the ratio was less than 4.17.Olefin was the key VOCs'component to affect the formation of O_(3);when the radio of φ(olefin)to[φ(NO_(x))-15]was less than 1.10 and the value of theφ(olefin)was less than 35×10^(-9),olefin went far towards generating O_(3).Response surface methodology demonstrated that it can be well used to explore the influence of multiple factors and their interactions on O_(3) formation and provides a new approach for efficient O_(3) sensitivity analysis.
作者 朱禹寰 陈冰 张雅铷 刘晓 李光耀 舍静 陈强 ZHU Yu-huan;CHEN Bing;ZHANG Ya-ru;LIU Xiao;LI Guang-yao;SHE Jing;CHEN Qiang(Key Laboratory for Semi-Arid Climate Change,Ministry of Education,College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China;Focused Photonics(Hangzhou)Incorporated Company,Hangzhou 310000,China)
出处 《环境科学》 EI CAS CSCD 北大核心 2023年第7期3669-3675,共7页 Environmental Science
关键词 臭氧(O_(3)) 响应曲面 O_(3)敏感性 盒子模式 一氧化碳(CO) 挥发性有机物(VOCs) ozone(O_(3)) response surface O_(3)sensitivity box model carbon monoxide(CO) volatile organic compounds(VOCs)
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