Assessment of the natural sources of particulate matter on the opencast mines air quality

Huertas, José Ignacio; Huertas, María E.; Cervantes, Guillermo González; Díaz, Julio César

doi:10.1016/j.scitotenv.2014.05.111

Cited by 37 publications

(17 citation statements)

References 11 publications

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“…Las TSP y PM10, pueden ser dispersadas a mayor velocidad de vientos. Las correlaciones observadas con la temperatura, humedad relativa y velocidad del viento, con partículas atmosféricas, han sido reportadas con iguales resultados por otros investigadores (Rojano et al, 2018;Huertas et al, 2014). A las condiciones de vientos estimadas en esta estación, también hay alta probabilidad que el aporte de TSP y PM10 se origine, en los tajos ubicados más al norte de la mina.…”

Section: Efectos De Las Variables Meteorológicasunclassified

Análisis y Origen de las Concentraciones de TSP y PM10 en Minería de Carbón a Cielo Abierto usando Gráficos Polares

et al. 2018

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ResumenSe estudiaron la variabilidad espacial y temporal de TSP y PM10 durante el período comprendido entre 2012 y 2016 en una de las minas de carbón a cielo abierto más grandes del mundo (El Cerrejón) ubicada en el noreste de Colombia. Los resultados mostraron concentraciones promedio de TSP y PM10 de 86 µgm -3 (CI95% 84-88 µgm -3 ) y 34 µgm -3 (CI95% 33-35 µgm -3 ), respectivamente. Se observó que las condiciones meteorológicas asociadas con los valores máximos de TSP y PM10, fueron vientos con velocidad mayor a 2 ms -1 y con dirección predominante NNE -NEE. Las gráficas polares y el análisis de función de probabilidad condicional estimado con el paquete openair de programa estadístico R, mostraron que los aportes de material particulado TSP y PM10, se relaciona directamente, con las operaciones mineras desarrolladas en los pit de explotación, aunque se registran aportes significativos de PM10 de fuentes regionales, no asociadas a la explotación de carbón. AbstractThe spatial and temporal variability of TSP and PM10 were studied during the period from 2012 to 2016 in one of the largest opencast coal mines in the world (El Cerrejón) located in northeastern Colombia. The results showed average concentrations of TSP and PM10 of 86 µgm -3 (CI95% 84-88 µgm-3) and 34 µgm -3 (CI95% 33-35 µgm -3 ), respectively. It was observed that the meteorological conditions associated with the maximum values of TSP and PM10, were winds with velocity greater than 2 ms -1 and predominant direction NNE -NEE. Polar plots and conditional probability function analysis showed that the contributions of particulate material TSP and PM10, is directly related to the mining operations developed in the pit, although there are significant contributions of PM10 from regional sources not associated with the open-pit coal mine.

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Section: Efectos De Las Variables Meteorológicasunclassified

Análisis y Origen de las Concentraciones de TSP y PM10 en Minería de Carbón a Cielo Abierto usando Gráficos Polares

et al. 2018

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“…The AERMOD modelling program used in the study is an experimental, refined, Gaussian steady-state model and can calculate plume distributions in order to evaluate the inert pollutants emitted into the atmosphere from different sources in terms of air quality [16][17][18]. AERMOD makes distribution calculations by using the meteorological characteristics of the study area, including data such as chimney height and diameter, emission temperature, pollutant exit velocity and air temperature turbulence, and wind speed and direction, and can be used in rural and urban areas, plain and complex terrains, and in multiple sources such as point, line, area, and volume [8][9][10][11][12][13][14][15][16][17][18].…”

Section: Aermodmentioning

confidence: 99%

“…AERMOD makes distribution calculations by using the meteorological characteristics of the study area, including data such as chimney height and diameter, emission temperature, pollutant exit velocity and air temperature turbulence, and wind speed and direction, and can be used in rural and urban areas, plain and complex terrains, and in multiple sources such as point, line, area, and volume [8][9][10][11][12][13][14][15][16][17][18]. The AERMOD program needs hourly surface and upper air layer data in order to be able to make these calculations [9].…”

Section: Aermodmentioning

confidence: 99%

“…The program includes algorithms that can calculate the Planetary Boundary Layer parameters with data such as friction velocity, Monin-Obukhov length, transmission speed and temperature scale, mixing height, and surface heat flux. Furthermore, this program can be used in studies conducted at simple and plain terrains as well as complex terrains [9][10][11][12][13][14][15][16][17][18][19]. AERMOD is composed of two scripts including AERMAP (a terrain data preprocessor) and AERMET (a meteorological data preprocessor).…”

Section: Aermodmentioning

confidence: 99%

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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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“…Air pollution problems vary with respect to area and the pollutant's behaviour [1,4]. The movement of vehicles carrying iron ore is contributing high suspended particulate matter in the region apart from the unpaved haul roads.…”

Section: Introductionmentioning

confidence: 99%

Concentration and Distribution of Particulate Matter in Subbarayanahalli Iron Ore Mine, Sandur, Karnataka, India - A Case Study

Gowda¹

2015

IJRET

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Assessment of the natural sources of particulate matter on the opencast mines air quality

Cited by 37 publications

References 11 publications

Análisis y Origen de las Concentraciones de TSP y PM10 en Minería de Carbón a Cielo Abierto usando Gráficos Polares

Análisis y Origen de las Concentraciones de TSP y PM10 en Minería de Carbón a Cielo Abierto usando Gráficos Polares

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

Concentration and Distribution of Particulate Matter in Subbarayanahalli Iron Ore Mine, Sandur, Karnataka, India - A Case Study

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