A tracer experiment study to evaluate the CALPUFF real time application in a near-field complex terrain setting

Cui, Huiling; Rentai, Yao; Xu, Xiaofeng; Xin, C. T.; Yang, Jinming

doi:10.1016/j.atmosenv.2011.08.041

Cited by 38 publications

(21 citation statements)

References 10 publications

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“…In this context, CAL-PUFF has been mostly applied for air quality management and risk assessments for cities and countries like Istanbul (Elbir et al, 2010), Beijing (Hao et al, 2007), and Thailand (Sakulniyomporn et al, 2011). In contrast, CALPUFF has also been used in short range but long-term dispersion studies in cases where complex flows induced by radical terrain and land use variability are deemed significant, with primary emphasis on model performance and validation (Cui et al, 2011;Dresser and Huizer, 2011) and exposure assessments (Macintosh et al, 2010). Furthermore, while perhaps premature and problematic, a growing body of knowledge is emerging on the viability of integrating Numerical Weather Predictions (NWP) with dispersion models for air quality assessments (USEPA, 2009).…”

Section: Introductionmentioning

confidence: 96%

Emissions characterization and regulatory compliance at an industrial complex: An integrated MM5/CALPUFF approach

Ghannam

El‐Fadel

2013

Atmospheric Environment

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Section: Introductionmentioning

confidence: 96%

Emissions characterization and regulatory compliance at an industrial complex: An integrated MM5/CALPUFF approach

Ghannam

El‐Fadel

2013

Atmospheric Environment

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“…This is because steady-state Gaussian models accept that transport varies linearly as a function of time and space. This approach is not well suited for complex terrains due to non-homogeneity of wind areas, uncertainties contained within altitude values, coastal evaporation, and geographical effects [43]. In addition, turbulence predictions made by the CALMET meteorological model are limited in complex terrains at high altitudes due to the nature of the model [44].…”

Section: Evaluation Of Model Performancesmentioning

confidence: 99%

Determining Performance and Application of Steady-State Models and Lagrangian Puff Model for Environmental Assessment of CO and NOx Emissions

Demirarslan¹,

Doğruparmak²

2016

Pol. J. Environ. Stud.

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Air quality modellings are highly useful systems used to investigate the possible impact of emissions diffusing into the atmosphere in any area they might have on that area. There are many modelling methods whose capacities are limited by their advantages and disadvantages or the equipment they use. In this study, therefore, both steady-state models (AERMOD and ISCST-3) and the Lagrangian model (CALPUFF) are used. This study has two purposes: one is to specify performance of the models. Performances were determined with various statistical methods such as fractional bias (FB), mean squared error (MSE), and geometric mean bias (MG). The other purpose of this study is to evaluate temporal and spatial variations of point (P), area (A), and line (L) -sourced CO and NO x emissions in the research area by using the modelling methods. The district of Körfez, which is one of the districts of the province of Kocaeli, was chosen as the study area.When the results obtained with modelling all P and A sources by three programs are analyzed, the highest annual concentration AERMOD, ISCST-3, and CALPUFF were found as 128.82, 86.96, and 201.30 µg/m 3 for CO, and 7.56, 26.31, and 6.10 µg/m 3 for NO x , respectively. On the other hand, when the results obtained with modelling all P and A and L sources by two programs are investigated, the highest annual concentration AERMOD and ISCST-3 were found to be 155.12, 92.46 µg/m 3 for CO, and 166.93 and 89.98 µg/m 3 for NO x , respectively. When contributions of the pollutant sources on pollution are evaluated, it was observed that area sources and line sources are more predominant than other sources for CO and NO x emissions. It was observed by analyzing the diffusion maps that residential areas in the district are more concentrated. Therefore, in the study the predicted and observed values were also compared with national and international limit values and determined to meet these limit values. According to the results obtained by evaluation of performances of the models with FB, MS, and MG statistical methods, performance sorting for NO x emissions was found to be ISCST-3 > CALPUFF > AERMOD, while for CO emissions it is given as

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“…Thus, the prognostic model can be run with a significantly larger horizontal grid spacing and lower grid resolution than that used in the diagnostic model [8,16], and to introduce into the diagnostic wind field results certain features of the flow fields that may not be captured in surface observational data. CALPUFF is a multi-layer non-steady-state puff dispersion model that can simulate the effects of temporally and spatially varying meteorological conditions on pollutant transport, transformation and removal.…”

Section: The Modelling Systemmentioning

confidence: 99%

“…This model is appropriate to be used on a case-by-case basis for studies in the near-field in complex terrain. Several studies [8,9] have been carried out to test the performance of CALPUFF in the near-field.…”

Section: Introduction: Background Area Description and Objectivesmentioning

confidence: 99%

Evaluations of benzene impacts of a coke plant in a complex-topography urban area with the RAMS-CALMET-CALPUFF modelling system

Valdenebro¹,

Cámara²,

Gangoiti³

et al. 2013

WIT Transactions on Ecology and the Environment

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The RAMS-CALMET-CALPUFF modelling system, together with observations, has been used to analyse the benzene impacts of a coke plant located in a narrow river valley over a nearby urban area in the estuary of Bilbao. The initial aim of this study was to set up a methodology suitable for dispersion studies in very complex areas, where pollutant dynamics are highly affected by mesoscale processes. Emphasis was put on the validation and improvement of the simulated meteorology. High spatio-temporal resolution meteorological simulations were performed with the non-hydrostatic mesoscale meteorological model RAMS, initialized with NCEP reanalysis data, for two ten-day periods. Results were validated against data recorded both at surface stations and by a wind profiler radar (WPR). Comparisons against the WPR revealed inaccurate NCEP data for one of the periods. Alternative nudging with ECMWF ERA-Interim data improved the results. The RAMS output was downscaled from 1 km to 250 m resolution with the CALMET diagnostic model. The main flows that affect dispersion in the area were mostly well simulated, but important disagreements with observed drainage flows were found for some days. The assimilation of surface meteorological observations into CALMET, greatly improved the results. The meteorological fields were input into the CALPUFF non-steady-state puff dispersion model for dispersion simulations. The actual daily cycles of ground level benzene were well reproduced but concentration levels were underestimated. The availability of good meteorological observations in the area and good emission inventory has shown to be of prime importance.

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A tracer experiment study to evaluate the CALPUFF real time application in a near-field complex terrain setting

Cited by 38 publications

References 10 publications

Emissions characterization and regulatory compliance at an industrial complex: An integrated MM5/CALPUFF approach

Emissions characterization and regulatory compliance at an industrial complex: An integrated MM5/CALPUFF approach

Determining Performance and Application of Steady-State Models and Lagrangian Puff Model for Environmental Assessment of CO and NOx Emissions

Evaluations of benzene impacts of a coke plant in a complex-topography urban area with the RAMS-CALMET-CALPUFF modelling system

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