Atmospheric movements
; Monte Carlo methods
; Ozone
; Pollution
; Uncertainty analysis
; Chemical transport models
; Chemistry transport model
; Correlation coefficient
; Emission inventories
; Meteorological condition
; Overestimated
; Surface ozone
; Surface ozone concentrations
; Air pollution
; carbon monoxide
; methane
; nitrogen oxide
; ozone
; surface ozone
; unclassified drug
; volatile organic compound
; atmospheric modeling
; atmospheric pollution
; atmospheric transport
; chemical process
; correlation
; diurnal variation
; emission inventory
; estimation method
; meteorology
; ozone
; regional pattern
; summer
; wind field
; air pollution
; Article
; circadian rhythm
; Japan
; meteorological phenomena
; photochemistry
; priority journal
; summer
; Honshu
; Japan
; Kanto
Scopus学科分类:
Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要:
Surface ozone is an air pollutant and harmful to human life. The spatial distribution of the air pollution has been estimated by chemical transport models, but still there are large uncertainties depending on detailed condition of the region. In this study, we extended Goto et al. (2015a) for implementing a chemical transport model to simulate short-lived gases such as ozone over Kanto area (around Tokyo in Japan) for August 2010. Comparison of simulation results with observed data indicated that the model had ability to capture observed ozone diurnal cycles over the target region with high correlation coefficients (0.69–0.81). The simulation result showed a vital role of meteorological conditions in the model performance. The correlation coefficients were much higher (0.78–0.87) and biases were lower (<35%) when the meteorological conditions were stable. In contrast, dominance of local pressure system and an associated complex wind field were main reasons for overestimated surface ozone concentrations in the unstable weather conditions. This study helped achieve a better understanding of the chemistry transport model performance under unstable meteorological conditions in the Kanto area. Maximal association between meteorological factors and surface ozone distribution was revealed. In addition, uncertainty of emission inventories of ozone precursors especially the underestimate NOxlevel certainly contributed to high level surface ozone during nighttime in this study. � 2017 The Authors
EORC, Japan Aerospace Exploration Agency, Tsukuba Space Center, Japan; National Institute for Environmental Studies, Tsukuba, Japan; Advanced Institute for Computational Science, RIKEN, Kobe, Japan; Atmosphere and Ocean Research Institute, The University of Tokyo, Kashiwa, Japan; Nagoya University, Nagoya, Japan; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan
Recommended Citation:
Trieu T,T,N,et al. Evaluation of summertime surface ozone in Kanto area of Japan using a semi-regional model and observation[J]. Atmospheric Environment,2017-01-01,153