Use of CALPUFF for exposure assessment in a near-field, complex terrain setting

Tulane University, Department of Earth and Environmental Sciences, New Orleans, LA 70118, USA
Atmospheric Environment (Impact Factor: 3.28). 01/2010; 44(2):262-270. DOI: 10.1016/j.atmosenv.2009.09.023


CALPUFF is an atmospheric source-receptor model recommended by the U.S. Environmental Protection Agency for use on a case-by-case basis in complex terrain and wind conditions. The ability of the model to provide useful information for exposure assessments in areas with those topographical and meteorological conditions has received little attention. This is an important knowledge gap for use of CALPUFF outside of regulatory applications, such as exposure analyses conducted in support of risk assessments and health studies. We compared deposition of cadmium (Cd), lead (Pb), and zinc (Zn) calculated with CALPUFF as a result of emissions from a zinc smelter with corresponding concentrations of the metals measured in attic dust and soil samples obtained from the surrounding area. On a point-by-point analysis, predictions from CALPUFF explained 11% (lead) to 53% (zinc) of the variability in concentrations measured in attic dust. Levels of heavy metals in soil interpolated to 100 residential addresses from the distribution of concentrations measured in soil samples also agreed well with deposition predicted with CALPUFF: R2 of 0.46, 0.76, and 079 for Pb, Cd, and Zn, respectively. Community-average concentrations of Cd, Pb, and Zn measured in soil were significantly (p < 0.0001) and strongly correlated (R2 ranged from 0.77 to 0.98) with predicted deposition rates. These findings demonstrate that CALPUFF can provide reasonably accurate predictions of the patterns of long-term air pollutant deposition in the near-field associated with emissions from a discrete source in complex terrain. Because deposition estimates are calculated as a linear function of air concentrations, CALPUFF is expected to be reliable model for prediction of long-term average, near-field ambient air concentrations in complex terrain as well.

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    • "This model contains algorithms to compute near-source effects, such as transitional plume rise, partial plume penetration, sub-grid-scale terrain interactions, sub-grid-scale coastal effects in the thermal internal boundary layer (TIBL), as well as longer-range effects, such as pollutant removal, chemical transformation, vertical wind shear, overwater transport, and coastal interactions. Therefore, CALPUFF is applied to obtain finer-scale air quality concentrations (MacIntosh et al. 2010; Yim et al. 2010), and it was adopted by the US Environmental Protection Agency (EPA) (ASG, 2012). "
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    ABSTRACT: The spatial decision support system (SDSS) is widely used in environmental problem management. In this paper, focusing on the air quality problem in the Pearl River Delta, China, we present a virtual geographic environment (VGE) system to integrate multiscale meteorological and air quality models for policy making. It is a comprehensive modeling tool to aid decision makers and various stakeholders to participate in air quality management by providing geographic visualizations and friendly interfaces. With nested multiscale models, a synthetic understanding of cross-boundary air quality processes can be captured to understand both regional and local effects. With the help of Linux-Apache-MySQL-Perl (LAMP) architecture, users can manage and retrieve modeling data and model parameterizations to reach a consensus on the simulation results and share modeling knowledge. Aided by a high-resolved emission inventory, such a multiscale system enables practical applications for various scenarios. As a case study, the system was applied to simulate and analyze the SO2 concentration process and local contribution in the Hong Kong Special Administrative Region (HKSAR) based on hourly simulation results with spatial resolutions of 0.5 and 3 km from multiscale models. The results from the multiscale modeling and the limited local contribution suggest that Hong Kong and the surrounding region should closely cooperate to develop a better environment.
    Full-text · Article · Sep 2015
    • "From 1990, a variety of models were developed for pollutant dissipation , including Gaussian processes for environmental impact assessments and ozone concentration evaluation (Grasic, Mlakar, and Boznar 2006;Olesen, Berkowicz, and Lofstrom 2007;Petelin, Grancharova, and Kocijan 2013); linear simple and multiple models for pollutant correlation in the Romanian Littoral (Barbes et al. 2014;Barbulescu and Barbes 2014); artificial neural networks for forecasting the concentration of airborne pollutants in urban areas and modeling the dissipation of inorganic pollutants in urban and industrial zones (Barbes et al. 2009;Barbulescu and Barbes 2013); fuzzy systems for forecasting the ozone concentration (Lin and Cobourn 2007;Nebot, Mugica, and Escobet 2008); and generalized autoregressive linear models for particulate dispersion (Hrdlickova et al. 2008). Also, different integrated modeling systems for simulation and prediction of atmospheric pollution dispersion (Karppinen et al. 2000;Owen et al. 2000;Carruthers, Sheng, and Vanvyve 2008;Macintosh et al. 2010;Zou et al. 2010) or for air quality simulation have been constructed (Paatero 2000;Matthias 2008;Pay et al. 2010;Appel et al. 2011). In this context, the interest in monitoring and modeling the dispersion of volatile organic compounds in the atmosphere is increasing (Li et al. 2001;Kabir and Kim 2010;Bereznicki et al. 2012;Wei et al. 2014). "
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    ABSTRACT: In the last decade, preserving air quality in the northern Romanian Littoral has become a national priority. To monitor pollution, benzene, toluene, ortho-, meta-, and para-xylene, ethyl-benzene, and styrene were determined at six monitoring sites in three industrial and three urban areas. The sampling was done by an active method and the analysis by gas chromatography. The statistical analysis demonstrated that the concentrations of the volatile organic compounds were under the limits established by the European Union’s laws and that the pollutant distributions were skewed. Models were proposed for the concentrations of the volatile organic compounds, using the general regression neural network, with wind speed, air temperature, and humidity as regressors. The theoretical fit well with the experimental results, showing that the model is an effective alternative to conventional approaches.
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    • "(Scire et al., 2000). Although the CALPUFF model is mostly recommended for long distances scenarios, there are some exceptions for short distances where the model is reliable to measure the behaviour of pollutants in the air (Macintosh et al., 2010). In the present study CALPUFF model has been used in the coal mining zone of the department of Cesar (Colombia), where the local weather is influenced by the mountain-savannah relationship. "
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    ABSTRACT: In the coal mining zone in the department of Cesar (Colombia), the programs MM5, CALMET and CALPUFF were used to simulate the PM10 contribution of the mining projects PLJ, Norcarbón and the Hatillo; with the objective of compare the results of the dispersion model CALPUFF with the registers of monitoring of the zone and evaluate this dispersion model in two different topographic sites. El Hatillo mining project is located a few kilometres from the village of La Loma, where topographical features are plain; in the other side are the mining projects PLJ and Norcarbón located in the low mountain zone of the Perijá, near to the La Jagua of Ibirico village. For the introduction of the variable emission in the CALPUFF model, was taken into account as provided in the study of the Monterrey Institute of Technology, Huertas et al., 2012. Although the CALPUFF model is mostly recommended for long distances scenarios, there are exceptions for short distances scenarios, where the model is reliable to measure the behaviour of pollutants in the air, (EPA 2005, 2008). In the present study was evaluated the CALPUFF in the coal mining zone of Cesar department, where the local weather is influenced by the relationship mountain-valley. The period of study was included in the dry period of January (2008). The concentration results obtained by the CALPUFF model were minor compared to the results obtained by monitoring System Monitoring Air Quality of the Department of Cesar, SVCADC; however is necessary a closer examination of the emission factors of the mining projects and other emissions that are not related to the mining projects.
    Full-text · Conference Paper · Jun 2014
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