2019
DOI: 10.1038/s41598-019-52815-0
|View full text |Cite
|
Sign up to set email alerts
|

Human Health Risk Assessment associated with contaminants in the finest fraction of sidewalk dust collected in proximity to trafficked roads

Abstract: The objective of the study was to determine concentration of metals in sidewalk dust collected in close vicinity to heavily congested roads in Poland in order to assess non-carcinogenic and carcinogenic health risk for both children and adults associated with the ingestion, dermal contact and inhalation of sidewalk dust. Results revealed that sidewalk dust from Warsaw, Krakow, Wroclaw and Opole is heavily contaminated especially with Sb, Se, Cd, Cu, Zn, Pb, considered as indicators of traffic emission. Hazardo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
22
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 38 publications
(27 citation statements)
references
References 37 publications
1
22
0
Order By: Relevance
“…Therefore, resuspended dust in industrial areas is higher than that in urban areas owing to the accumulation of large amounts of RD and the increase in traffic-induced turbulence by large trucks. The fine particles present in RD are inhaled by humans and may have harmful effects on the respiratory system [75,76].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, resuspended dust in industrial areas is higher than that in urban areas owing to the accumulation of large amounts of RD and the increase in traffic-induced turbulence by large trucks. The fine particles present in RD are inhaled by humans and may have harmful effects on the respiratory system [75,76].…”
Section: Discussionmentioning
confidence: 99%
“…The non-carcinogenic and carcinogenic risks of PTEs in PM10 of RDS were calculated according to a health risk assessment model derived and advanced by the USEPA [82,83]. Ingestion, dermal contact and inhalation are the three major pathways of RDS exposure in humans [84][85][86]. According to the exposure factor handbook [63], the average daily dose (ADD, mg/kg/day) of PTEs due to PM10 in RDS exposure through ingestion (ADDing), dermal contact (ADDderm) and inhalation (ADDinh) can be estimated using the following equations, respectively:…”
Section: Non-carcinogenic Risk Assessmentmentioning
confidence: 99%
“…ABS is the dermal absorption factor (10 −3 ); BW is body weight (70 kg for adults); AT is the average lifetime (in days, ED×365); and PEF is the particle emission factor (1.316 × 10 9 m 3 ). The parameters necessary for the assessment of ADD were reported by Adamiec and Jarosz-Krzemińska; USEPA; Zhou et al; and Jose and Srimuruganandam [84,85,87,88].…”
Section: Non-carcinogenic Risk Assessmentmentioning
confidence: 99%
See 1 more Smart Citation
“…For the purpose of obtaining a more realistic distribution of district-wise traffic emissions, for the modelling of spatial pollution profiles, which might open new windows for conducting health exposure assessment especially during peak hours, this study attempts to develop a systematic geo-processing framework via data analytic means, which process available hourly traffic NO x and PM 2.5 emission records of all roads in Hong Kong. To the best of our knowledge, such fine-scale spatial investigations and potential health assessments (with social assumptions imposed) have only been conducted in other countries, like Canada, Poland and the United States [ 35 , 36 , 37 ], but not in highly dense and populated cities. Therefore, the main objectives, desired results and findings of this study are: (1) To establish an improved and comprehensive framework that combines geo-processing techniques, working norms, peak hours for human mobility, and building morphologies of Hong Kong to retrieve more realistic district-wise and street-level traffic NO x and PM 2.5 emissions from eight key road transport types; (2) to obtain diurnal variabilities of traffic NO x and PM 2.5 emissions from each transport type, with the aim of incorporating peak hours into the framework in a more scientific manner; (3) to look for the potential linkages between district-wise traffic emissions and health attributes in different case studies, with respective assumptions outlined in the framework; (4) to identify outlying districts in a highly dense city, then suggest feasible measures for reducing traffic-related health risks and maintaining environmental sustainability and living quality, based on prescribed statistical assumptions.…”
Section: Introductionmentioning
confidence: 99%