Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion

Tewari, Mukul; Kusaka, Hiroyuki; Chen, Fei; Coirier, William J.; Kim, Sura; Wyszogrodzki, Andrzej A.; Warner, Thomas T.

doi:10.1016/j.atmosres.2010.01.006

Cited by 92 publications

(48 citation statements)

References 11 publications

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“…Jiang et al (2008) predicted impacts of land use change on surface ozone in the Houston. Tewari et al (2010) used the WRF model and CFD model for urban scale contaminant transport and dispersion simulation. Miao et al (2010) and Zhang et al (2010) showed that the WRF model coupled to the single-layer UCM could reproduce the monthly-average UHI over the Beijing and the Yangtze River Delta Economic Belt areas.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

Kusaka

Chen

Tewari

et al. 2012

Journal of the Meteorological Society of Japan

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The present study applies the WRF model involving the single-layer urban canopy model (hereafter, WRF_UCM) to urban climate simulation of the Tokyo metropolitan area for August (2004)(2005)(2006)(2007) and compare results to (a) observations, and (b) the WRF model involving the slab urban model (hereafter, WRF_SLAB). In this urban area, WRF_UCM accurately captures the observed monthly mean daytime and nocturnal UHI, whereas WRF_SLAB does not show a nocturnal UHI. Moreover, the observed diurnal variations of the surface air temperature for central Tokyo and Kumagaya, a nearby inland city, are reproduced well by WRF_UCM. However, WRF_SLAB exhibits both a 1-hr phase shift and a 6.2 C excess oscillation magnitude over observations. In addition, WRF_UCM accurately reproduces the frequency distribution of surface air temperatures, showing a maximum at 27 C, whereas WRF_SLAB produce a bimodal distribution, with double peaks at 23 and 33 C. Finally, WRF_UCM does a much better job than WRF_SLAB at modeling the relative humidity.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

Kusaka

Chen

Tewari

et al. 2012

Journal of the Meteorological Society of Japan

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“…Recent developments of NWPs achieve more and more detailed resolution, CFD models with enhanced computational capacity, parallel computing and LES simulation for anisotropic turbulence are becoming even better for planetary boundary layer simulations. Both the modification of an NWP model to perform microscale simulations (the domain size is~100 m) [59], and the extension of a CFD software for atmospheric studies hold promise, and these are current topics of research in both the meteorological and environmental engineering fields [132,134,140].…”

Section: Discussionmentioning

confidence: 99%

“…However, several weaknesses were pointed out that made CFD results less reliable as the scale increased [132,133]. Although nesting CFD into NWP models is difficult due to their different coordinates, governing equations and variables, [140] presented promising results using WRF and a three-dimensional CFD code. …”

Section: Computational Fluid Dynamics Modelsmentioning

confidence: 99%

Dispersion modeling of air pollutants in the atmosphere: a review

et al. 2014

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Modeling of dispersion of air pollutants in the atmosphere is one of the most important and challenging scientific problems. There are several natural and anthropogenic events where passive or chemically active compounds are emitted into the atmosphere. The effect of these chemical species can have serious impacts on our environment and human health. Modeling the dispersion of air pollutants can predict this effect. Therefore, development of various model strategies is a key element for the governmental and scientific communities. We provide here a brief review on the mathematical modeling of the dispersion of air pollutants in the atmosphere. We discuss the advantages and drawbacks of several model tools and strategies, namely Gaussian, Lagrangian, Eulerian and CFD models. We especially focus on several recent advances in this multidisciplinary research field, like parallel computing using graphical processing units, or adaptive mesh refinement.

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“…Lee and Kim Yoshie et al, 2007;Kim and Kim, 2009;Zheng et al, 2010; 로 바람 자료만을 연동한 연구들이 수행되어왔기 때문 에 (Baik et al, 2009;Choi et al, 2012;Tewari et al, 2010;Liu et al, 2011) Kwon and Kim, 2015;Yang and Kim, 2015 …”

Section: 최근에는 지리정보시스템(Geographic Informationunclassified

Effects of Differential Heating by Land-Use types on flow and air temperature in an urban area

Park¹,

Choi²,

Kang³

et al. 2016

Korean Journal of Remote Sensing

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:In this study, the effects of differential heating by land-use types on flow and air temperature at an Seoul Automated Synoptic Observing Systems (ASOS) located at Songwol-dong, Jongno-gu, Seoul was analyzed. For this, a computation fluid dynamics (CFD) model was coupled to the local data assimilation and prediction system (LDAPS) for reflecting the local meteorological characteristics at the boundaries of the CFD model domain. Time variation of temperatures on solid surfaces was calculated using observation data at El-Oued, Algeria of which latitude is similar to that of the target area. Considering land-use type and shadow, surface temperatures were prescribed in the LDAPS-CFD coupled model. The LDAPS overestimated wind speeds and underestimated air temperature compared to the observations. However, a coupled LDAPS-CFD model relatively well reproduced the observed wind speeds and air temperature, considering complicated flows and surface temperatures in the urban area. In the morning when the easterly was dominant around the target area, both the LDAPS and coupled LDAPS-CFD model underestimated the observed temperatures at the Seoul ASOS. This is because the Kyunghee Palace located at the upwind region was composed of green area and its surface temperature was relatively low. However, in the afternoon when the southeasterly was dominant, the LDAPS still underestimated, on the while, the coupled LDAPS-CFD model well reproduced the observed temperatures at the Seoul ASOS by considering the building-surface heating.

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Impact of coupling a microscale computational fluid dynamics model with a mesoscale model on urban scale contaminant transport and dispersion

Cited by 92 publications

References 11 publications

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

Numerical Simulation of Urban Heat Island Effect by the WRF Model with 4-km Grid Increment: An Inter-Comparison Study between the Urban Canopy Model and Slab Model

Dispersion modeling of air pollutants in the atmosphere: a review

Effects of Differential Heating by Land-Use types on flow and air temperature in an urban area

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