Process analysis of ozone formation under different weather conditions over the Kanto region of Japan using the MM5/CMAQ modelling system

Khiem, Mai Van; Ooka, Ryozo; Hayami, Hiroshi; Yoshikado, Hiroshi; Huang, Hong; Kawamoto, Yoichi

doi:10.1016/j.atmosenv.2010.07.038

Cited by 32 publications

(13 citation statements)

References 14 publications

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“…IPR is widely used to quantify the effects of all the physical and chemical processes on model predictions (e.g., Khiem et al, 2010). To understand the effects of the physical and chemical processes on the surface EC concentrations simulated by the participating models, the simulated change rates of the EC concentrations caused by advection, vertical diffusion, emission, horizontal diffusion, dry deposition, and aqueous processes were derived by the IPR analysis.…”

Section: Process Analysesmentioning

confidence: 99%

Multi-Model Analyses of Dominant Factors Influencing Elemental Carbon in Tokyo Metropolitan Area of Japan

Chatani

Morino

Shimadera

et al. 2014

Aerosol Air Qual. Res.

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The first phase of the Urban air quality Model InterComparison Study in Japan (UMICS) has been conducted to find ways to improve model performance with regard to elemental carbon (EC). Common meteorology and emission datasets are used with eight different models. All the models underestimate the EC concentrations observed in Tokyo Metropolitan Area in the summer of 2007. Sensitivity analyses are conducted using these models to investigate the causes of this underestimation. The results of the analyses reveal that emissions and vertical diffusion are dominant factors that affect the simulated EC concentrations. A significant improvement in the accuracy of EC concentrations could be realized by applying appropriate scaling factors to EC emissions and boundary concentrations. Observation data from Lidar and radiosonde suggest the possible overestimation of planetary boundary layer height, which is a vital parameter representing vertical diffusion. The findings of this work can help to improve air quality models to that they can be used to develop more effective strategies for reducing PM 2.5 concentrations.

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Section: Process Analysesmentioning

confidence: 99%

Multi-Model Analyses of Dominant Factors Influencing Elemental Carbon in Tokyo Metropolitan Area of Japan

Chatani

Morino

Shimadera

et al. 2014

Aerosol Air Qual. Res.

Self Cite

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“…The PA tool embedded in the CMAQ model has been widely used in the studies in United States and other countries (e.g., O'Neill and Lamb, 2005;Tonse et al, 2008;Khiem et al, 2010;Liu et al, 2011aLiu et al, , 2011b. Regarding studies in China, Xu et al (2008) used the PA method with the CMAQ-MADRID model to define the difference in O 3 -forming photochemistry between the urban area and its downwind area in Beijing, China.…”

Section: Introductionmentioning

confidence: 99%

Process analysis of a regional air pollution episode over Pearl River Delta Region, China, using the MM5-CMAQ model

Fan

et al. 2013

Journal of the Air & Waste Management Association

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This study focuses on the influences of a warm high-pressure meteorological system on aerosol pollutants, employing the simulations by the Models-3/CMAQ system and the observations collected during October [10][11][12] 2004, over the Pearl River Delta (PRD) region. The results show that the spatial distributions of air pollutants are generally circular near Guangzhou and Foshan, which are cities with high emissions rates. The primary pollutant is particulate matter (PM) over the PRD. MM5 shows reasonable performance for major meteorological variables (i.e., temperature, relative humidity, wind direction) with normalized mean biases (NMB) of 4.5-38.8% and for their time series. CMAQ can capture one peak of all air pollutant concentrations on October 11, but misses other peaks. The CMAQ model systematically underpredicts the mass concentrations of all air pollutants. Compared with chemical observations, SO 2 and O 3 are predicted well with a correlation coefficient of 0.70 and 0.65. PM 2.5 and NO are significantly underpredicted with an NMB of 43% and 90%, respectively. The process analysis results show that the emission, dry deposition, horizontal transport, and vertical transport are four main processes affecting air pollutants. The contributions of each physical process are different for the various pollutants. The most important process for PM 10 is dry deposition, and for NO x it is transport. The contributions of horizontal and vertical transport processes vary during the period, but these two processes mostly contribute to the removal of air pollutants at Guangzhou city, whose emissions are high. For this high-pressure case, the contributions of the various processes show high correlations in cities with the similar geographical attributes. According to the statistical results, cities in the PRD region are divided into four groups with different features. The contributions from local and nonlocal emission sources are discussed in different groups.Implications: The characteristics of aerosol pollution episodes are intensively studied in this work using the high-resolution modeling system MM5/SMOKE/CMAQ, with special efforts on examining the contributions of different physical and chemical processes to air concentrations for each city over the PRD region by a process analysis method, so as to provide a scientific basis for understanding the formation mechanism of regional aerosol pollution under the high-pressure system over PRD.

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“…Aforementioned studies were conducted using the steady-state O 3 exposure system. Because there are seasonal and diurnal variations in tropospheric O 3 concentration (Khiem et al, 2010;EPA, 2006a;Yamaji et al, 2006), O 3 exposure system with the variations in the atmospheric concentration of O 3 observed in the fields needs to be used for the evaluation of the realistic effects of O 3 on forest tree species. Matsumura et al (1996) and Matsumura et al (1998) conducted experimental studies on the effects of O 3 on the growth of several Japanese forest tree species using an O 3 exposure system with seasonal and diurnal variations in the atmospheric concentration of O 3 .…”

Section: Introductionmentioning

confidence: 99%

Experimental Studies on the Effects of Ozone on Growth and Photosynthetic Activity of Japanese Forest Tree Species

Yamaguchi¹,

Watanabe²,

Matsumura³

et al. 2011

Asian J. Atmos. Environ

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Process analysis of ozone formation under different weather conditions over the Kanto region of Japan using the MM5/CMAQ modelling system

Cited by 32 publications

References 14 publications

Multi-Model Analyses of Dominant Factors Influencing Elemental Carbon in Tokyo Metropolitan Area of Japan

Multi-Model Analyses of Dominant Factors Influencing Elemental Carbon in Tokyo Metropolitan Area of Japan

Process analysis of a regional air pollution episode over Pearl River Delta Region, China, using the MM5-CMAQ model

Experimental Studies on the Effects of Ozone on Growth and Photosynthetic Activity of Japanese Forest Tree Species

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