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Air Quality Impacts at an E-Waste Site in Ghana Using Flexible, Moderate-Cost and Quality-Assured Measurements

  • Lawrencia Kwarteng
  • , Emmanuel Acquah Baiden
  • , Julius Fobil
  • , John Arko-Mensah
  • , Thomas Robins
  • , Stuart Batterman
  • University of Ghana
  • University of Michigan, Ann Arbor

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Air quality information is scarce in low- and middle-income countries. This study describes the application of moderate cost approaches that can provide spatial and temporal information on concentrations of particulate matter (PM) needed to assess community and occupational exposures. We evaluated PM levels at the Agbogbloshie e-waste and scrap yard site in Accra, Ghana, and at upwind and downwind locations, obtaining both optical and gravimetric measurements, local meteorological data and satellite aerosol optical depth. Due to overload issues, the gravimetric 24-hr samplers were modified for periodic sampling and some optical data were screened for quality assurance. Exceptionally high concentrations (e.g., 1-hr average PM10 exceeding 2000 μg/m3) were sometimes encountered near combustion sources, including open fires at the e-waste site and spoil piles. 24-hr PM2.5 levels averaged 31, 88 and 57 μg/m3 at upwind, e-waste and downwind sites, respectively, and PM10 averaged 145, 214 and 190 μg/m3, considerably exceeding air quality standards. Upwind levels likely reflected biomass burning that is prevalent in the surrounding informal settlements; levels at the e-waste and downwind sites also reflected contributions from biomass combustion and traffic. The highest PM levels occurred in evenings, influenced by diurnal changes in emission rates, atmospheric dispersion and wind direction shifts. We demonstrate that moderate cost instrumentation, with some modifications, appropriate data cleaning protocols, and attention to understanding local sources and background levels, can be used to characterize spatial and temporal variation in PM levels in urban and industrial areas.

Original languageEnglish
Article numbere2020GH000247
JournalGeoHealth
Volume4
Issue number8
DOIs
Publication statusPublished - 1 Aug 2020

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
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Air pollution
  • e-waste
  • fires
  • monitoring
  • particulate matter

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