2010
DOI: 10.1016/j.atmosenv.2009.09.023
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Use of CALPUFF for exposure assessment in a near-field, complex terrain setting

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Cited by 49 publications
(22 citation statements)
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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: 97%
“…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: 97%
“…It can calculate impacts of meteorological conditions that vary over time as a result of area effect on transport, removal, and chemical conversions of the pollutants [25][26]. Furthermore, the program also includes algorithms based on the distribution coefficient approach and dry-wet accumulation model [27]. CALPUFF splits the pollutants into a large number of different cells (puff) and each cell is influenced regardless of terrain conditions, meteorological conditions, chemical conversions, accumulations, and, in particular, time intervals [28].…”
Section: Calpuffmentioning
confidence: 99%
“…Recommended by its resolution at the local level in areas of complex terrain [26,27]. The three-dimensional winds field for CALPUFF is constructed based on observation data in surface and upper-air station using the Calmet model.…”
Section: Air Dispersion Modelmentioning
confidence: 99%