A numerical study of summer ozone concentration over the Kanto area of
Japan using the MM5/CMAQ model |
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Authors: | Mai Khiem Ryozo Ook Hong Huang and Hiroshi Hayami |
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Institution: | [1]Graduate School of Engineering, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan [2]Institute of Industrial Science, The University of Tokyo, 66-1 Kamaba, Meguro-ku, Tokyo 153-8505, Japan [3]Center for Public Safety Research, Tsinghua University, Beijing 100084, China [4]Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko-shi, Chiba 270-1194, Japan |
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Abstract: | 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 a ect 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 e ect 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 e ects of di erent meteorological conditions on each model process, we find that advection and
di usion di er the most between the two meteorological regimes. Thus, di erences 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. |
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Keywords: | air quality modeling ozone initial/boundary conditions meteorological conditions |
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