A comprehensive assessment of heavy metal contamination in road dusts along a hectic national highway of Bangladesh: spatial distribution, sources of contamination, ecological and human health risks

Kabir, Md. Humayun; Kormoker, Tapos; Shammi, Rifat Shahid; Tusher, Tanmoy Roy; Islam, Md. Saiful; Khan, Rahat; Omor, Md. Zohir Uddin; Sarker, Md. Eusuf; Yeasmin, Marjana; Idris, Abubakr M.

doi:10.1080/15569543.2021.1952436

Cited by 38 publications

(7 citation statements)

References 110 publications

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“…CO 2 , RH, PM 1 , PM 2.5 and PM 10 combined to create cluster 1, whereas temperature, SO 2 , NO 2 and O 3 made up cluster 2. The findings suggested that a certain cluster of contaminants may have come from anthropogenic sources (Kabir et al, 2022;Abulude, Oluwafemi, Arifalo, Elisha, & Kenni, 2023).…”

Section: Agjsrmentioning

confidence: 99%

Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Abulude,

Suriano,

Oluwagbayide

et al. 2023

AGJSR

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PurposeThis study aimed to characterize the concentrations of indoor pollutants (such as carbon dioxide (CO2), ozone (O3), nitrogen dioxide (NO2) and sulfur dioxide (SO2), as well as particulate matter (PM) (PM1, PM2.5 and PM10) in Akure, Nigeria, as well as the relationship between the parameters’ concentrations.Design/methodology/approachThe evaluation, which lasted four months, used a low-cost air sensor that was positioned two meters above the ground. All sensor procedures were correctly carried out.FindingsCO2 (430.34 ppm), NO2 (93.31 ppb), O3 (19.94 ppb), SO2 (40.87 ppb), PM1 (29.31 µg/m3), PM2.5 (43.56 µg/m3), PM10 (50.70 µg/m3), temperature (32.4°C) and relative humidity (50.53%) were the average values obtained. The Pearson correlation depicted the relationships between the pollutants and weather factors. With the exception of April, which had significant SO2 (18%) and low PM10 (49%) contributions, NO2 and PM10 were the most common pollutants in all of the months. The mean air quality index (AQI) for NO2 indicated that the AQI was “moderate” (51–100). In contrast to SO2, whose AQI ranged from “moderate” to “very unhealthy,” O3's AQI ranged from “good” (50) to “unhealthy” (151–200). Since PM1, PM2.5 and PM10 made up the majority of PC1’s contribution, both PM2.5 and PM10 were deemed “hazardous.”Practical implicationsThe practical implication of indoor air pollution is long-term health effects, including heart disease, lung cancer and respiratory diseases such as emphysema. Indoor air pollution can also cause long-term damage to people’s nerves, brain, kidneys, liver and other organs.Originality/valueLack of literature in terms of indoor air quality (IAQ) in Akure, Ondo State. With this work, the information obtained will assist all stakeholders in policy formulation and implementation. Again, the low-cost sensor used is new to this part of the world.

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Section: Agjsrmentioning

confidence: 99%

Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Abulude,

Suriano,

Oluwagbayide

et al. 2023

AGJSR

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“…Strong and significant (p < 0.05) correlations were obtained for various metal pairs, including: (a) Ti-V (r = 0.86), Ti-B (0.75), Ti-Mn (0.74), Ti-Pb (0.73); (b) Zn-Pb (0.77), Zn-Mn (0.77), Zn-Mo (0.72), Zn-Co (0.71); (c) Cu-Pb (0.91), Cu-Sn (0.89), Cu-Ni (0.8), Cu-Sb (0.82), Cu-Cr (0.76), Cu-Co (0.75), Cu-V (0.74); (d) Cr-Sn (0.9), Cr-Mo (0.87), Cr-Ni (0.86), Cr-Pb (0.73); (e) Pb-Sb (0.82), Pb-V (0.77), Pb-Sn (0.76), Pb-Co (0.71); (f) V-B (0.82), V-Co (0.79), V-Sb (0.71); (g) Ni-Sn (0.89), Ni-Mo (0.79), Ni-Sb (0.72); (h) Co-Sb (0.83), Co-Sn (0.83); (i) Sn-Mo (0.84), Sn-Sb (0.83); (j) Mo-Sb (0.75). Anthropogenic activities are well known as potential sources of metals in street-dust samples [23,55]. Processes including tire wear, brake wear, brake pads, diesel exhaust, lubricating oils, engine tires and wear of machine parts are possible sources of Zn, Pb, Ni, and Cr [47,48], while industrial processes, gas refineries, fuel combustion [56,57], and car paints are possible sources of Ni [21].…”

Section: The Correlation Coefficient Among the Heavy Metals In This S...mentioning

confidence: 99%

“…The results showed that the concentration of metals fluctuates widely up to 8430 mg/kg [6]. Various methods were employed to determine the level of metal pollution in dust, for example the enrichment factor (EF) [4], geo-accumulation index (I geo ) [18][19][20], pollution load index (PLI) [3,21], and ecological risk assessment (ERA) [4,5,[22][23][24][25][26]. The results all indicated significant potential risks of metals for human health as well as ecosystems.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and Risk Assessment of 16 Metals in Street Dust Collected from a Highway in a Densely Populated Metropolitan Area of Vietnam

Nguyen

Dat

et al. 2021

Atmosphere

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The present study focused on investigating the contamination and risk assessment for 16 metals in street dust from Ha Noi highway, Ho Chi Minh City. The results indicated that the concentrations of metals (mg/kg) were found, in decreasing order, to be Ti (676.3 ± 155.4) > Zn (519.2 ± 318.9) > Mn (426.6 ±113.1) > Cu (144.7 ± 61.5) > Cr (81.4 ± 22.6) > Pb (52.2 ± 22.9) > V (35.5 ± 5.6) > Ni (30.9 ± 9.5) > Co (8.3 ± 1.2) > As (8.3 ± 2.5) > Sn (7.0 ± 3.6) > B (5.7 ± 0.9) > Mo (4.1 ± 1.7) > Sb (0.8 ± 0.3) > Cd (0.6 ± 0.2) > Se (0.4 ± 0.1). The geo-accumulation index (Igeo) showed moderate contamination levels for Pb, Cd, Cu, Sn, Mo, and Zn. The enrichment factor (EF) values revealed moderate levels for Cd, Cu, Mo, and Sn but moderate–severe levels for Zn. The pollution load index of the heavy metals was moderate. The potential ecological risk (207.43) showed a high potential. Notably, 40.7% and 33.5% of the ecological risks were contributed by Zn and Mn, respectively. These findings are expected to provide useful information to decision-makers about environmental quality control strategies.

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“…Considering the environmental risks of heavy metals in dust, many international studies have been conducted in recent years on the levels, distribution characteristics, source identification of heavy metals in dust from urban roads [9,10], mining roads [11], highways [12], rural highways [13,14], kindergartens and young pupils roads [15,16], as well as ecological and human health risk hazards. These studies usually use PCA or PMF, and other methods to analyze the sources of heavy metals in sample dust.…”

Section: Introductionmentioning

confidence: 99%

Levels, Risk and Sources of Heavy Metals in Road Dust from University Campus - A Case Study of Xichang, Southwest China

Kun¹,

Chen²,

Lei³

et al. 2023

Pol. J. Environ. Stud.

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As the place where students live for the longest time, the levels, sources and health risks of heavy metals in road dust from university campuses have not been widely studied. In the present study, 41 road dust samples were collected and analyzed by ICP-MS for Zn, V, Pb, Cr, Ni and Cu. The isotopic composition of Pb was analyzed by MC-ICP MS. These heavy metals were specifically analyzed using enrichment factor, geoaccumulation index, principal component analysis, iso-sources model and health risk assessment model. Zn and Pb pollution levels were high in road dust, and they were defined as moderate enrichment and contaminated. The sources of Pb in road dust from university campus were traffic exhaust, steel smelting, soil, and fly ash, accounting for 59.4%, 23.2%, 12.2%, and 5.2%, respectively. The non-carcinogenic risk of female and male university students is safe, but the carcinogenic risk of Cr needs to be concerned by the authorities.

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A comprehensive assessment of heavy metal contamination in road dusts along a hectic national highway of Bangladesh: spatial distribution, sources of contamination, ecological and human health risks

Cited by 38 publications

References 110 publications

Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Study on indoor pollutants emission in Akure, Ondo State, Nigeria

Characteristics and Risk Assessment of 16 Metals in Street Dust Collected from a Highway in a Densely Populated Metropolitan Area of Vietnam

Levels, Risk and Sources of Heavy Metals in Road Dust from University Campus - A Case Study of Xichang, Southwest China

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