摘要
以京津冀地区BVOCs排放清单为基础,采用WRF-CMAQ模型模拟与情景分析相结合的方式研究了2018年7月京津冀地区BVOCs排放对O_(3)和PM_(2.5)浓度贡献,解析了北京、邯郸、承德、保定等典型城市不同植被类型BVOCs排放对O_(3)和SOA浓度的影响水平,并应用O_(3)和SOA生成潜势核算结果对模拟结果进行验证.结果显示,BVOCs排放对北京、邯郸、承德、保定O_(3)生成贡献率分别为30.19%、24.77%、35.56%、26.73%,对SOA生成贡献率为2.55%、3.32%、4.17%、3.59%;北京、承德的乔木与果园BVOCs排放对O_(3)和SOA浓度贡献最大,邯郸、保定的草地与庄稼BVOCs排放对O_(3)和SOA浓度贡献最大;数值模拟结果与O_(3)、SOA生成潜势表征的潜在影响基本符合.
Based on the BVOCs emission inventory,WRF-CMAQ model was used with scenario analysis to investigate the effects of BVOCs emissions on O_(3)and PM_(2.5) in the Beijing-Tianjin-Hebei region in July 2018.The effects of BVOCs emissions from different vegetation types on O_(3)and SOA concentrations in Beijing,Handan,Chengde,Baoding and other cities were quantitatively analyzed,which was verified with the O_(3)and SOA formation potential method.As the results showed,the contributions of BVOCs emission to O_(3)in Beijing,Handan,Chengde and Baoding were 30.19%,24.77%,35.56%and 26.73%,respectively,and the contributions to SOA were 2.55%,3.32%,4.17%and 3.59%,respectively.Trees and orchards showed the greatest influences on O_(3)and SOA in Beijing and Chengde,while grassland and crops showed the greatest contributions in Handan and Baoding.Additionally,the results of numerical simulation and of potential generation method showed relatively consistent results.
作者
蔡斌
程昊淼
亓浩雲
李奥哲
康天放
CAI Bin;CHENG Hao-miao;QI Hao-yun;LI Ao-zhe;KANG Tian-fang(Key Laboratory of Beijing on Regional Air Pollution Control,Department of Environment and Life Sciences,Beijing University of Technology,Beijing 100124,China;College of Architecture and Urban Planning,Department of Architecture,Civil and Transportation Engineering,Beijing University of Technology,Beijing 100124,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2023年第6期2734-2743,共10页
China Environmental Science
基金
国家自然科学基金资助项目(52170174)。
