Dispersion of TSP and PM10 emissions from quarries in complex terrain

Tartakovsky, Dmitry; Stern, Eli; Broday, David M.

doi:10.1016/j.scitotenv.2015.10.133

Cited by 52 publications

(22 citation statements)

References 14 publications

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“…The CALPUFF modeling system was applied in several studies, especially for application in areas with complex terrain [11,[20][21][22]. It can be applied for long-range (>50 km) and complex terrains.…”

Section: Calpuff Modeling Systemmentioning

confidence: 99%

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Sirithian

Thepanondh

2016

Atmosphere

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Influences of different computational grid resolutions on modeled ambient benzene concentrations from open burning were assessed in this study. The CALPUFF (California Puff Mesoscale Dispersion Model) was applied to simulate maximum ground level concentration over the modeling domain of 100ˆ100 km 2 . Meteorological data of the year 2014 was simulated from the Weather Research and Forecasting (WRF) model. Four different grid resolutions were tested including 0.75 km, 1 km, 2 km and 3 km resolutions. Predicted values of the maximum 24-h average concentrations obtained from the finest grid resolution (0.75 km) were set as reference values. In total, there were 1089 receptors used as reference locations for comparison of the results from different computational grid resolutions. Comparative results revealed that the larger the grid resolution, the higher the over-prediction of the results. Nevertheless, it was found that increasing the grid resolution from the finest resolution (0.75 km) to coarser resolutions (1 km, 2 km and 3 km) resulted in reduction of computational time by approximately 66%, 97% and >99% as compared with the reference grid resolution, respectively. Results revealed that the grid resolution of 1 km is the most appropriate resolution with regard to both accuracy of predicted data and acceptable computational time for the model simulation of the open burning source.

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Section: Calpuff Modeling Systemmentioning

confidence: 99%

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Sirithian

Thepanondh

2016

Atmosphere

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“…Los procesos de extracción de materiales en canteras cambian drásticamente la naturaleza física y biológica de la zona de operación, puede causar afectaciones a comunidades cercanas y considerables contribución de partículas en el aire. Las canteras son fuentes antropogénicas que se caracterizan por sus tasas de emisiones de polvo a la atmósfera (Tartakovsky et al, 2016). La determinación de sus impactos en las concentraciones de material particulado fuera de los límites de extracción directa y en áreas residenciales cercanas está determinada por diferentes factores como ubicación y tiempo real de los equipos en espaciotiempo, meteorología de la zona, característica del material extraído y condiciones topográficas del terreno.…”

Section: Introductionunclassified

“…Mientras que algunas investigaciones muestran concordancia entre las concentraciones estimadas y observadas, otras muestran un rendimiento bajo del modelo para estimar concentraciones. En particular, las estimaciones relativamente bajas de CALPUFF informadas por Tartakovsky et al (2016) y Tartakovsky et al (2013) se atribuyeron a distancia relativamente grandes (~11 km) entre la cantera y las estaciones meteorológicas, información incierta sobre la ubicación de los puntos receptores, representación de los patrones de dispersión en el modelo de las áreas fuentes e inclusión de la deposición seca en las corridas. Por otro lado, Ghannam y El-Fadel (2013) y Karam y Tabbara (2011) informan estimaciones de concentraciones aceptables para complejos industriales que incluyen extracción de material en cantera.…”

Section: Introductionunclassified

Evaluación del CALPUFF para Estimar Concentraciones Ambientales de PM 10 de una Cantera en Terrenos Complejos

2018

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Se evalúa el rendimiento del modelo CALPUFF para estimar concentraciones ambientales de PM10 ocasionada por las emisiones de una cantera ubicada en un terreno montañoso en el norte de Colombia. Se simularon las dispersiones del contaminante para un dominio de 22 km x 18 km con resolución aproximada de 100 metros para incluir las características geofísicas del área de estudio. Las predicciones de las concentraciones promedio de PM10 desde las fuentes hasta los receptores fueron 17.50 µg/m 3 (a < 1km), 4.06 µg/m 3 (a < 2km), 2.16 µg/m 3 (a < 3km) y 0.82 µg/m 3 (a < 6km). Aunque subestimo las concentraciones en receptores, el modelo mostró un rendimiento satisfactorio y con criterios de aceptación enmarcados dentro de los indicadores estadísticos utilizados para evaluación de modelos ambientales. A diferencia de otros estudios donde se evaluó la utilidad del CALPUFF en fuentes similares, el modelo mostro una capacidad aceptable para estimar las concentraciones PM10 en terrenos complejos debido a la utilización de datos de estaciones meteorológicas cercanas a las fuentes, exactitud en el inventario de emisiones en función de espacio-tiempo, ubicación de receptores para validación y mayor resolución de la zona de dominio del modelado que no fueron contempladas en investigaciones anteriores.

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“…Although CALPUFF is generally recommended for long range dispersion calculations (50 km), can be used on a case-by-case basis also for near field applications [21,22]. This model has been used in many investigations in complex terrain and was used in this type of source [21,23,24]. In this research, the CALPUFF model was used to estimate the concentrations of PM 10 in the receptors on human settlement, whit meteorological data of stations located and operated by the Cerrejón.…”

Section: Introductionmentioning

confidence: 99%

PM₁₀emissions due to storage in coal piles in a mining industrial area

Rojano

Arregocés

Angulo

et al. 2016

WIT Transactions on Ecology and the Environment

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Fugitive material has been identified as the main source of air pollution, especially total suspended particulate (TSP) and particulate matter less than 10 micrometers (PM 10 ) in open pit mining. The aim of this research was to estimate the concentration of PM 10 and measure the impact of coal piles on nearby populations. The sources under consideration are three different areas for coal storing. All three areas are distributed along the mine with 14 piles with a total capacity of 3.2 Mton. Emissions were estimated and the contribution of PM 10 for the activities of loading, unloading, hauling coal, tractor operations and wind disturbances on the surface of the coal piles using the emission factors suggested by EPA. The contribution to environmental receptors was determined with the dispersion model CALPUFF. Although higher emissions occur in solar hours, characterised by high values of wind speed and higher insolation, the greater receptivity PM 10 measurements stations occur during the night hours by decreasing the mixing height. The model show that the activities involved in coal storage can provide 14.5% of daily environmental concentrations in receptors located 16.2 km downwind of the source, which showed that CALPUFF can be used for complex terrain and short distance from the source of emission.

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Dispersion of TSP and PM10 emissions from quarries in complex terrain

Cited by 52 publications

References 14 publications

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Evaluación del CALPUFF para Estimar Concentraciones Ambientales de PM 10 de una Cantera en Terrenos Complejos

PM₁₀emissions due to storage in coal piles in a mining industrial area

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Dispersion of TSP and PM10 emissions from quarries in complex terrain

Cited by 52 publications

References 14 publications

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Influence of Grid Resolution in Modeling of Air Pollution from Open Burning

Evaluación del CALPUFF para Estimar Concentraciones Ambientales de PM 10 de una Cantera en Terrenos Complejos

PM10emissions due to storage in coal piles in a mining industrial area

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PM₁₀emissions due to storage in coal piles in a mining industrial area