Numerical Simulations of Atmospheric Transport and Diffusion over Coastal Complex Terrain

Yamada, Tetsuji; Bunker, S.; Moss, Michael

doi:10.1175/1520-0450(1992)031<0565:nsoata>2.0.co;2

Cited by 26 publications

(7 citation statements)

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“…CALPUFF has been used worldwide for scientific and regulatory purposes [52][53][54][55]. The RAPTAD puff model was specifically designed for simulations around complex terrain [56,57] with both industrial and urban applications [58,59]. One of the most popular dispersion models is HYSPLIT, a hybrid puff-particle model developed by the NOAA Air Resources Laboratory.…”

Section: Puff 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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Section: Puff Modelsmentioning

confidence: 99%

Dispersion modeling of air pollutants in the atmosphere: a review

et al. 2014

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“…Lagrangian puff models are usually best suited for region-scale areas with timescales of hours to days. Examples of Lagrangian puff models include SCIPUFF/HPAC [7,8], HYSPLIT [24], CALPUFF [25], and HOTMAC/RAPTAD [26].…”

Section: Lagrangian Puff Modelsmentioning

confidence: 99%

Integrated Analysis of Environment-driven Operational Effects in Sensor Networks

Park¹,

Perumalla²

2007

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There is a rapidly growing need to evaluate sensor network functionality and performance in the context of the larger environment of infrastructure and applications in which the sensor network is organically embedded. This need, which is motivated by complex applications related to national security operations, leads to a paradigm fundamentally different from that of traditional data networks. In the sensor networks of interest to us, the network dynamics depend strongly on sensor activity, which in turn is triggered by events in the environment. Because the behavior of sensor networks is sensitive to these driving phenomena, the integrity of the sensed observations, measurements and resource usage by the network can widely vary. It is therefore imperative to accurately capture the environmental phenomena, and drive the simulation of the sensor network operation by accounting fully for the environment effects. In this paper, we illustrate the strong, intimate coupling between the sensor network operation and the driving phenomena in their applications with an example sensor network designed to detect and track gaseous plumes.

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“…SCHULTZ and WARNER (1982), using a twodimensional numerical model, investigated the importance of sea breeze, mountain valley, and urban circulation in the Los Angels basin and concluded that the urban heat island effect was negligible in their simulation. YAMADA et al (1992) demonstrated the feasibility of operating a three-dimensional, higher order closure model and a random puff model to forecast the transport and dispersion of airborne hazardous material at Vandenberg Air Force Base, California. FAST et al (1996) used a mesoscale model coupled with a LPD model to simulate the nocturnal evolution of wind and temperature fields within a small, elliptical basin located in western Colorado.…”

Section: Complex Terrain Modelingmentioning

confidence: 99%

Mathematical Modeling of Diffusion and Transport of Pollutants in the Atmospheric Boundary Layer

Sharan¹,

Gopalakrishnan

2003

Pure and Applied Geophysics

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The process of dispersion of air pollutants, in a broad sense, can be considered as the net outcome of various mechanisms involved in the transport of air pollutants from the source to the receptor. The major mechanisms are: (1) advection of pollutants by mean air motion, (2) mixing of pollutants by atmospheric turbulence and (3) mass diffusion due to concentration gradients. In addition, the physical and chemical nature of the effluent, the location of the stack and the nature of the terrain downwind from the stack, effect the dispersion of the pollutants. Various physical and mathematical aspects related to the transport and diffusion of air pollutants in the atmospheric boundary layer are discussed here. Further, some aspects of dispersion in a weak wind stable boundary layer are described. Finally, the current issues in the modeling of weak wind boundary layer are illustrated.

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Numerical Simulations of Atmospheric Transport and Diffusion over Coastal Complex Terrain

Cited by 26 publications

References 0 publications

Dispersion modeling of air pollutants in the atmosphere: a review

Dispersion modeling of air pollutants in the atmosphere: a review

Integrated Analysis of Environment-driven Operational Effects in Sensor Networks

Mathematical Modeling of Diffusion and Transport of Pollutants in the Atmospheric Boundary Layer

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