首页 | 本学科首页   官方微博 | 高级检索  
     


Analysis of ozone in the San Joaquin Valley of California
Affiliation:1. GEMMA and POLARIS Research Centers, Department of Earth and Environmental Sciences, University of Milano-Bicocca, Piazza della Scienza 1, 20126 Milan, Italy;2. Alfred-Wegener Institut für Polar- und Meeresforschung (AWI), Forschungsstelle Potsdam, Telegraphenberg 43A, 14473 Potsdam, Germany;3. Department of Chemistry, Biology and Biotechnology, University of Perugia, Via Elce di Sotto 8, 06123 Perugia, Italy;4. National Research Council, Institute of Atmospheric Sciences and Climate, (CNR-ISAC), Via P. Gobetti 101, 40129 Bologna, Italy;5. Department of Condensed Matter Physics, Jozef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia;6. Department of Chemistry, University of Florence, Via della Lastruccia 3, 50019 Sesto Fiorentino, Florence, Italy;1. Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China;2. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing 210044, China;3. Department of Chemistry & Environmental Science, Tibet University, Lhasa 850000, China;4. Environmental Monitoring Center Station of Tibet Autonomous Region, Lhasa 850000, China
Abstract:The dynamics of ozone in the San Joaquin Valley of central California are studied by systematic diagnostic runs of the three-dimensional SARMAP Air Quality Model. Air quality in the San Joaquin Valley is the result of a complex combination of local and transported emissions. Simulations show that relatively brisk winds at points of inflow to the Valley produce a strong dependence of ozone in the Valley on upwind conditions. Furthermore, NOx influx from boundaries and local emissions has significantly greater impact on ozone production than ROG influx and emissions.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号