Skip to main navigation Skip to search Skip to main content

Dispersion model on PM 2.5 fugitive dust and trace metals levels in Kuwait Governorates

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

Frequent dust storms and recent environmental changes were found to affect the human health especially in residents of arid countries. Investigations on the PM 2.5 fugitive dust in six Kuwait Governorate areas using dispersion Gaussian plume modeling revealed significant relationship between low rate of pollutant emission, low wind velocity, and stable weather conditions' matrix causing high rate of dust deposition in summer than in winter. The rate of dust deposition and trace metals levels in PM 2.5 were in the sequence of G-VI > G-I > G-II > G-V > G-III > G-IV. Trace metals were observed in the sequence of Al > Fe > Zn > Ni > Pb > Cd irrespective of the Governorate areas and the two seasons. The high rate of dust deposition and trace metals in PM 2.5 was reflected by the vast open area, wind velocity, and rapid industrialization besides natural and anthropogenic sources. A combination of air dispersion modeling and nephalometric and gravimetric studies of this kind not only determines the seasonal qualitative and quantitative analyses on the PM 2.5 dust deposition besides trace metals apportionment in six Kuwait Governorate areas, but also characterizes air pollution factors that could be used by environmentalist to deduce preventive measures.

Original languageEnglish
Pages (from-to)1731-1737
Number of pages7
JournalEnvironmental Monitoring and Assessment
Volume184
Issue number3
DOIs
StatePublished - Mar 2012

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Air pollution
  • Gaussian plume model
  • Kuwait
  • PM

Funding Agency

  • Kuwait Foundation for the Advancement of Sciences

Fingerprint

Dive into the research topics of 'Dispersion model on PM 2.5 fugitive dust and trace metals levels in Kuwait Governorates'. Together they form a unique fingerprint.

Cite this