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A numerical study of summer ozone concentration over the Kanto area of Japan using the MM5/CMAQ model

Journal of Environmental Sciences 2011年第2期23卷 236-246页

作者： Mai Khiem Ryozo Ooka Hong Huang Hiroshi Hayami Graduate School of Engineering The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo 153-8505 Japan Institute of Industrial Science The University of Tokyo 66-1 Kamaba Meguro-ku Tokyo 153-8505 Japan Center for Public Safety Research Tsinghua University Beijing 100084 China Central Research Institute of Electric Power Industry 1646 Abiko Abiko-shi Chiba 270-1194 Japan

We assessed the ability of the MM5/CMAQ model to predict ozone （O3） air quality over the Kanto area and to investigate the factors that affect simulation of O3. We find that the coupled MM5/CMAQ model is a useful tool for the analysis of urban environmental problems. The simulation results were compared with observational data and were found to accurately replicate most of the important observed characteristics, The initial and boundary conditions were found to have a significant effect on simulated O3 concentrations. The results show that on hot and dry days with high O3 concentration, the CMAQ model provides a poor simulation of O3 maxima when using initial and boundary conditions derived from the CMAQ default data. The simulation of peak O3 concentrations is improved with the JCAP initial and boundary conditions. On mild days, the default CMAQ initial and boundary conditions provide a more realistic simulation. Meteorological conditions also have a strong impact on the simulated distribution and accumulation of O3 concentrations in this area. Low O3 concentrations are simulated during mild weather conditions, and high concentrations are predicted during hot and dry weather. By investigating the effects of different meteorological conditions on each model process, we find that advection and diffusion differ the most between the two meteorological regimes. Thus, differences in the winds that govern the transport of O3 and its precursors are likely the most important meteorological drivers of ozone concentration over the central Kanto area.

关键词： air quality modeling ozone initial/boundary conditions meteorological conditions

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