Multipathway Assessment of Heavy Metal Exposure in Urban Dust: Linking Ecological and Human Health Risks

Heavy metal contamination in settled urban dust was investigated across industrial, traffic, and residential areas of Erbil City, Kurdistan Region, Iraq. Twenty-five composite dust samples were analyzed for Pb, Cd, Cr, Ni, As, Cu, and Zn using ICP-OES. Industrial areas exhibited the highest metal concentrations, particularly Pb and Cd, followed by traffic and residential zones. Health risk assessment revealed that ingestion was the dominant exposure pathway (> 95%), and children experienced approximately 2.5-fold higher total chronic daily intake (CDI_total) than adults. Noncarcinogenic risk analysis indicated that chromium was the dominant contributor to the hazard quotient (HQ), followed by arsenic and lead, with the highest cumulative hazard index observed for children in industrial areas (HI = 0.670). Carcinogenic risk assessment showed that the incremental lifetime cancer risk (ILCR) for children exceeded the acceptable threshold (1 × 10<sup>-4</sup>) in industrial areas, with total cancer risk reaching 3.96 × 10<sup>-4</sup>. These findings highlight significant dust-mediated health risks, particularly for children, and underscore the need for targeted emission control and public health interventions in rapidly urbanizing cities.

Authors

Institutions

Publication Details

Journal
Journal of Applied Toxicology
Published
2026-02-23
DOI
https://doi.org/10.1002/jat.70126
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multipathway Assessment of Heavy Metal Exposure in Urban Dust: Linking Ecological and Human Health Risks

Ayansina Ayanlade, Muzhda Qasim Qader, P. O. Ayoola, Kaiwan K. Fatah et al.
Journal of Applied Toxicology
Heavy metals in environment
article

Multipathway Assessment of Heavy Metal Exposure in Urban Dust: Linking Ecological and Human Health Risks

Ayansina Ayanlade, Muzhda Qasim Qader, P. O. Ayoola, Kaiwan K. Fatah, Isaac Ayo Oluwatimilehin, Oluwatoyin Seun Ayanlade
article en

Abstract

Heavy metal contamination in settled urban dust was investigated across industrial, traffic, and residential areas of Erbil City, Kurdistan Region, Iraq. Twenty-five composite dust samples were analyzed for Pb, Cd, Cr, Ni, As, Cu, and Zn using ICP-OES. Industrial areas exhibited the highest metal concentrations, particularly Pb and Cd, followed by traffic and residential zones. Health risk assessment revealed that ingestion was the dominant exposure pathway (> 95%), and children experienced approximately 2.5-fold higher total chronic daily intake (CDI_total) than adults. Noncarcinogenic risk analysis indicated that chromium was the dominant contributor to the hazard quotient (HQ), followed by arsenic and lead, with the highest cumulative hazard index observed for children in industrial areas (HI = 0.670). Carcinogenic risk assessment showed that the incremental lifetime cancer risk (ILCR) for children exceeded the acceptable threshold (1 × 10<sup>-4</sup>) in industrial areas, with total cancer risk reaching 3.96 × 10<sup>-4</sup>. These findings highlight significant dust-mediated health risks, particularly for children, and underscore the need for targeted emission control and public health interventions in rapidly urbanizing cities.

Journal of Applied Toxicology
University of Kentucky (US), Hawler Medical University (IQ), Open Society (CZ), Obafemi Awolowo University (NG), Salahaddin University-Erbil (IQ)
Sustainable cities and communities
Openalex Percentile: Top 47%
Heavy metals in environment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.