The study of TSP and PM10 concentration and their heavy metal content in central area of Tehran, Iran

Leili, Mostafa; Naddafi, Kazem; Nabizadeh, Ramin; Yunesian, Masud; Mesdaghinia, Alireza

doi:10.1007/s11869-008-0021-z

Cited by 76 publications

(33 citation statements)

References 11 publications

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“…The study of particulate matter (PM) as air pollutant is important because of its effects on human health, atmospheric visibility, climate change, etc. [2,3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Saleh¹,

Hasan²

2014

J Geophys Remote Sens

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The aim of this work is to produce an empirical model for the determination of particulate matter (PM10) concentration in the atmosphere using visible bands of Landsat 8 OLI satellite image over Kirkuk city-Iraq.The suggested algorithm is established on the aerosol optical reflectance model. The reflectance model is a function of the optical properties of the atmosphere, which can be related to its concentrations.The concentration of PM10 measurements was collected using Particle Mass Profiler and Counter in a Single Handheld Unit (Aerocet 531) meter simultaneously by the Landsat 8 OLI satellite image date. The PM10 measurement locations were defined by a handheld global positioning system (GPS).The obtained reflectance values for visible bands (Coastal aerosol, Blue, Green and blue bands) of landsat 8 OLI image were correlated with in-suite measured PM10.The feasibility of the proposed algorithms was investigated based on the correlation coefficient (R) and rootmean-square error (RMSE) compared with the PM10 ground measurement data. A choice of our proposed multispectral model was founded on the highest value correlation coefficient (R) and lowest value of the root mean square error (RMSE) with PM10 ground data. The outcomes of this research showed that visible bands of Landsat 8 OLI were capable of calculating PM10 concentration to an acceptable level of accuracy.

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“…The study of particulate matter (PM) as air pollutant is important because of its effects on human health, atmospheric visibility, climate change, etc. [2,3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Saleh¹,

Hasan²

2014

J Geophys Remote Sens

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“…Heavy metals associated with respirable particles have also been shown to increase lung or cardiopulmonary injuries caused by particulate air pollutant exposure (Espinosa et al, 2001;Cancio et al, 2008;Leili et al, 2008). Natural emissions (crustal minerals, forest fires and oceans), traffic and industrial emissions (combustion of fossil fuel and industrial metallurgical processes) are the principal sources of heavy metals in the ambient air (Park et al, 2008;Xu et al, 2010;Cheung et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Seasonal Variation and Sources of Heavy Metals in Atmospheric Aerosols in a Residential Area of Ulsan, Korea

Lee

Hieu²

2011

Aerosol Air Qual. Res.

112

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This study investigated seasonal variations in mass concentrations of particulate matter (PM) and compositions of heavy metals in PM 2.5 and PM 10 collected from a typical urban residential area in Ulsan, Korea. PM measurements were conducted during spring and summer of 2009. Mean concentrations of PM 2.5 in spring and summer were 23.2 and 18.1 µg/m 3 , respectively. Mean concentrations of PM 10 in spring and summer were 45.9 and 33.2 µg/m 3 , respectively. The lower summer PM concentrations as compared to the spring ones are due to the increased rainfall precipitation. Airborne PM was analyzed for these heavy metals: Fe, Zn, Cd, Mn, Pb, Cu, Cr and Ni. All of the metals in PM 2.5 and PM 10 had higher concentrations in spring than in summer, except Cr in PM 10 which shows similar concentrations between spring and summer. Seasonal differences in the metal concentrations may be due to differences in wind directions with some winds passing through industry or traffic areas. Analysis of enrichment factors of heavy metals showed highly enriched Cd, Zn, Pb and Cu. Principal component analysis for the heavy metals in PM 2.5 and PM 10 identified industrial emissions and road dust (soil and traffic) as major sources at the sampling site.

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“…It has been demonstrated that the PM10 concentrations which exceeded the AAQS were caused by coal consumption from industry and vehicle transportation, road dust, dust from city construction projects, fireworks during celebrations, and dust storm (26,(32)(33)(34)(35).…”

Section: Resultsmentioning

confidence: 99%

Determination of Particulate Matter and Toxic Gaseous in Ambient Air Adjacent to Industrial Area

Mohamed

Al‐Gheethi

Fahira

et al. 2017

IJEE

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A B S T R A C TAir quality in the residential areas adjacent to the industrial regions is of great concern due to the association with particulate matter and toxic gaseous which has adverse effects on human health. Therefore, the present study aimed to investigate the air quality in term of PM10 concentrations and toxic gaseous (CO and NO) at University Hussein Onn Malaysia (UTHM) residential college which is adjacent to a wood processing, electronic and fibre board factories. Four Stations defined as Station 1 (KKM), Station 2 (KKP), Station 3 (KKTDI) and Station 4 (KKTU) were selected for this investigation. PM10 concentrations were measured using the E-Sampler Particulate Matter for 24 hours period within the dry season (February -May 2016) which was associated with the heavily haze phenomenon in Malaysia. The distribution of selected toxic gases in UTHM student hostels was determined using the TSI IAQ (CO) and Dragger X-am 7000 (NO). PM10 and toxic gaseous levels were compared to the Ambient Air Quality Standard (AAQS) and to compute the assumption of the sources of PM10 by using Open Air R Package Software. Data were analysed using the R Software and packages (Open-air, BRT, Akima). The highest concentration of PM10 was 114 µg/m 3 recorded at KKTDI followed by 58 µg/m 3 at KKP. The maximum CO concentrations noted at KKP (1.8 ppm). However, both PM10 and CO concentrations not exceeded the AAQS of 150 µg/m 3 and 30 ppm respectively. Moreover, concentrations of NO at KKP (0.61 ppm) and KKM (2.18 ppm) exceeded the AAQS (0.17 ppm) indicating the possibility of presence health risk for students at UTHM due to poor air quality. The air quality is directly associated to level of energy consumption which causes climate changes and accumulation of greenhouse gases.

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The study of TSP and PM10 concentration and their heavy metal content in central area of Tehran, Iran

Cited by 76 publications

References 11 publications

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Estimation of PM10 Concentration using Ground Measurements and Landsat 8 OLI Satellite Image

Seasonal Variation and Sources of Heavy Metals in Atmospheric Aerosols in a Residential Area of Ulsan, Korea

Determination of Particulate Matter and Toxic Gaseous in Ambient Air Adjacent to Industrial Area

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