Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Catchment scale assessment of macroplastic pollution in the Odaw river, Ghana

Rose Boahemaa Pinto, Linda Bogerd, Martine van der Ploeg, Kwame Duah, R. Uijlenhoet, Tim van Emmerik

Marine Pollution Bulletin · 2023

Read source ↗ All evidence

Summary

This study presents a catchment-scale approach to assessing macroplastic pollution in the Odaw river, Ghana, examining transport and density across spatially differentiated zones. Monitoring at ten locations in December 2021 revealed that urban riverine zones experienced the highest macroplastic transport, whilst urban tidal zones showed the highest riverbank and land macroplastic accumulation. The authors propose this methodology as a transferable framework for catchment-scale plastic pollution assessment in other global contexts.

UK applicability

Whilst the study focuses on Ghana's tropical riverine system, the catchment-scale assessment methodology could inform UK river pollution monitoring and plastic source-pathway-sink analysis in comparable urban-rural catchments. However, differences in plastic consumption patterns, waste management infrastructure, and hydrological regimes would require adaptation of the approach.

Key measures

Macroplastic transport rates and density on riverbanks and land across ten monitoring locations; categorisation and abundance of macroplastic types (water sachets, soft fragments, foam fragments)

Outcomes reported

The study quantified macroplastic transport and density across the Odaw river catchment in three zones (non-urban riverine, urban riverine, and urban tidal), identifying the most abundant plastic item types and their spatial distribution. Water sachets, soft fragments, and foam fragments were found to be the most prevalent macroplastic items.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
Ghana
System type
Other
DOI
10.1016/j.marpolbul.2023.115813
Catalogue ID
BFmor3g5wd-eu9qi5

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.