Heavy metals and their source identification in particulate matter (PM2.5) in Isfahan City, Iran

Soleimani, Mohsen; Amini, Nasibeh; Sadeghian, Babak; Wang, Dongsheng; Fang, Liping

doi:10.1016/j.jes.2018.01.002

Cited by 137 publications

(54 citation statements)

References 34 publications

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“…The air pollution was reported to have been accelerated by dust and particulate matters (PMs) particularly fine particles such as PM 2.5 and PM 10 which are released through natural and anthropogenic processes. Natural processes which release particulate matters into air include dust storms, soil erosion, volcanic eruptions and rock weathering, while anthropogenic activities are more industrial and transportation related [17].…”

Section: Effects On Airmentioning

confidence: 99%

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Environmental Contamination by Heavy Metals

Masindi¹,

Muedi²

2018

Heavy Metals

600

377

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The environment and its compartments have been severely polluted by heavy metals. This has compromised the ability of the environment to foster life and render its intrinsic values. Heavy metals are known to be naturally occurring compounds, but anthropogenic activities introduce them in large quantities in different environmental compartments. This leads to the environment's ability to foster life being reduced as human, animal, and plant health become threatened. This occurs due to bioaccumulation in the food chains as a result of the nondegradable state of the heavy metals. Remediation of heavy metals requires special attention to protect soil quality, air quality, water quality, human health, animal health, and all spheres as a collection. Developed physical and chemical heavy metal remediation technologies are demanding costs which are not feasible, time-consuming, and release additional waste to the environment. This chapter summarises the problems related to heavy metal pollution and various remediation technologies. A case study in South Africa mines were also used.

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Section: Effects On Airmentioning

confidence: 99%

“…corrosion, formation of acid rain, eutrophication and haze [9]. Amongst others, heavy metals such as group 1 metals (Cu, Cd, Pb), group 2 metals (Cr, Mn, Ni, V and Zn) and group 3 metals (Na, K, Ca, Ti, Al, Mg, Fe) originate from industrial areas, traffic and natural sources, respectively [17,18].…”

Section: Heavy Metalsmentioning

confidence: 99%

Environmental Contamination by Heavy Metals

Masindi¹,

Muedi²

2018

Heavy Metals

600

377

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“…Significant principal component is selected on the basis of Kaiser criteria with eigen value greater than 1. PC1 representing Mn and Pb indicating the main source as industrial activities like steel manufacturing industries, soil and crustal dust (Soleimani et al, 2018). Mn and Pb also originate from anthropogenic activities like vehicle exhaust and non-exhaust emissions, coal mining activities (Mansha et al, 2012, Pant et al, 2016.…”

Section: Back-trajectory Analysismentioning

confidence: 99%

“…In the recent past aerosols received special attention due to its effect on climate change and health. Among them fine particulate matter (PM 2.5 and PM 10 ) played an important role in affecting human health (Soleimani et al, 2018). Heavy metals and other trace elements emitted from various natural and man-made activities are found in aerosol.…”

Section: Introductionmentioning

confidence: 99%

Heavy Metals in PM10 Aerosols Over an Urban Industrial City

Khobragade¹,

Ahirwar²

2019

IJEAT

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PM10 aerosols were monitored and analyzed for heavy metal concentration at Raipur city Chhattisgarh, India for possible source identification of pollutants. Sampling of PM10 aerosols was carried out by using respirable dust sampler during the year 2016. Daily PM10 average concentrations varied between 122.033 and 197.854 µg/m3, 91.350 and 133.950 µg/m3 and 112.770 and 480.170 µg/m3 in summer, monsoon and winter respectively. Chemical analysis of PM10 samples was carried out for heavy metal determination. Heavy metal (Fe, Mn, Ni and Pb) were analyzed with the help of atomic absorption spectroscopy (AAS) and found in the range of 2.713-36.862, 0.131-9.129. 0.880-4.195 and 0.015-0.321 µg/m3 for Fe, Mn, Pb and Ni respectively. PM10 concentrations shows distinct seasonal variation being twice in winter season than in summer; winter (mean: 241.820 ± 33.912 µg/m3) > summer (mean: 159.512 ± 14.360 µg/m3) > monsoon (mean: 107.480 ± 9.213 µg/m3). The concentration of heavy metal was different in all the seasons depending on their sources. Identification of possible sources was done by principal component analysis (PCA) illustrating industrial activities, soil (crustal) dust and biomass burning as the major sources in the region. The back trajectory analysis of the air masses depicts that the local anthropogenic activities affect the concentration of pollutants at the source. Correlation analysis between the heavy metal concentrations agreed the results obtained by PCA. The work helped in observing the seasonal trend of particulate matter concentrations and in identification of major sources of air pollution in the city.

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“…Los aerosoles secundarios comprenden más del 50% de PM2.5 y son los principales responsables de alterar el balance de radiación de la tierra, la reducción de la visibilidad y la contaminación por neblina regional [2]. Debido a que la concentración y la composición de la masa de material particulado son variables y dependen en gran medida de muchos factores como la variación del clima, la ubicación geográfica y las fuentes de emisión [3]. El material particulado (PM) degrada la calidad del aire como resultado del aumento de la industrialización y crecimiento de la población humana.…”

Section: Introductionunclassified

Dispersión de material particulado 2.5 emitido por pollerías usando el modelo AERMOD en Huancayo Metropolitano, Perú

Lizarraga-Isla

Pomalaya-Valdez

Salas

et al. 2019

DYNA

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El presente estudio realizo la dispersión de PM2.5 emitidos por pollerías en Huancayo Metropolitano. Se utilizaron datos topográficos de 30 metros de resolución, datos meteorológicos superficiales y verticales de enero a diciembre del 2017 y características de la fuente como concentraciones de emisión de PM2.5 de pollerías. Para la determinar la eficiencia del modelo AERMOD en la dispersión de PM2.5 se instalaron estaciones de monitoreo de calidad de aire en tres áreas urbanas de Huancayo Metropolitano (UNCP, HYO y CHI), la campaña de muestreo se llevó a cabo de marzo a noviembre del 2017. Los resultados, identificaron la asociación de la dirección y velocidad del viento con la dispersión de PM2.5 y que las concentraciones obtenidas por el modelo AERMOD subestimaron con las obtenidas de las estaciones de monitoreo de calidad de aire, esto debido a que se modelo solo pollerías y no de otras aportaciones de fuentes de emisión. AERMOD provee buenas opciones para modelar dispersión de contaminantes del aire en regiones de montaña para gestión de la calidad del aire.

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Heavy metals and their source identification in particulate matter (PM2.5) in Isfahan City, Iran

Cited by 137 publications

References 34 publications

Environmental Contamination by Heavy Metals

Environmental Contamination by Heavy Metals

Heavy Metals in PM10 Aerosols Over an Urban Industrial City

Dispersión de material particulado 2.5 emitido por pollerías usando el modelo AERMOD en Huancayo Metropolitano, Perú

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