A multimedia Environmental Model to Predict the Lead Concentration in Children’s Blood Near Al-Dorah Refinery in Baghdad

Authors

  • Afrah A. Ajeel Department of Biology, College of Science, Mustansiriyah University.
  • Ahmed K. Al-Lami Department of Physics, College of Science, Al-Nahrain University.
  • Ali A. Al-Maliki Environment and Water Directorate, Ministry of Higher Education & Scientific Research, Science and Technology, Baghdad

DOI:

https://doi.org/10.23851/mjs.v32i2.981

Keywords:

IEUBK, Lead pollution, Blood lead level, Soil contamination, Risk assessment

Abstract

Lead-contaminated water, soil, and air have been perceived as potential sources of lead exposure for a considerable length of time, which continues to threaten human health; particularly that of young children. An Integrated Exposure, Uptake, and Biokinetic (IEUBK) as a human health risk model were applied to predict the Blood lead levels (BLLs) in children. A variety of data for air, soil, and water were obtained from the industrial region in Al-Dorah city in Baghdad for the period 2012- 2014. The result found that the predicted BLLs value of 11.17 μg/dL obtained from the IEUBK model was exceeding the agency’s threshold of concern of 10 μg/jdL which was considered as the lowest level of concern for BLL in children, this result of the IEUBK model was in agreement with the actual value of BLLs which were taken from previous literature for 24 blood samples of school children matched for age curried out in the same Al-Dorah region. This technique propels logical comprehension of the connection between BLLs in children and environmental media in both air and soil for the pollute condition. It can control national health-based benchmarks for lead and related community public health decisions.

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Key Dates

Published

15-05-2021

How to Cite

[1]
A. A. Ajeel, A. K. Al-Lami, and A. A. Al-Maliki, “A multimedia Environmental Model to Predict the Lead Concentration in Children’s Blood Near Al-Dorah Refinery in Baghdad”, Al-Mustansiriyah Journal of Science, vol. 32, no. 2, pp. 40–46, May 2021, doi: 10.23851/mjs.v32i2.981.

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