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GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana

This study employed GIS tools to help optimise faecal sludge (FS) management in the Greater Accra Metropolitan Area (GAMA) and its environs in Ghana. First, the rates of excreta generation, FS generation and FS collection were quantified based on literature, census and FS discharge data obtained fro...

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Autores principales: Sagoe, Gideon, Danquah, Felix Safo, Amofa-Sarkodie, Eric Simon, Appiah-Effah, Eugene, Ekumah, Elsie, Mensah, Emmanuel Kwaw, Karikari, Kenneth Sefa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6819848/
https://www.ncbi.nlm.nih.gov/pubmed/31687595
http://dx.doi.org/10.1016/j.heliyon.2019.e02505
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author Sagoe, Gideon
Danquah, Felix Safo
Amofa-Sarkodie, Eric Simon
Appiah-Effah, Eugene
Ekumah, Elsie
Mensah, Emmanuel Kwaw
Karikari, Kenneth Sefa
author_facet Sagoe, Gideon
Danquah, Felix Safo
Amofa-Sarkodie, Eric Simon
Appiah-Effah, Eugene
Ekumah, Elsie
Mensah, Emmanuel Kwaw
Karikari, Kenneth Sefa
author_sort Sagoe, Gideon
collection PubMed
description This study employed GIS tools to help optimise faecal sludge (FS) management in the Greater Accra Metropolitan Area (GAMA) and its environs in Ghana. First, the rates of excreta generation, FS generation and FS collection were quantified based on literature, census and FS discharge data obtained from treatment plants in the study area. Next, we mapped the FS collection to the administrative areas in GAMA based on discharge records obtained from Lavender Hill, the main faecal treatment (FTP) and estimated the travel distance and travel time from the various FS desludging neighbourhoods to the plant. The results of the study show that the excreta and FS generation rates in GAMA are 604 L/cap/yr and 4,137 L/cap/yr, respectively. About 1 million m(3) of FS was collected and treated in the study area in 2018, with a collection rate of 244 L/cap/yr. The private sector dominates this collection, haulage and treatment of FS in GAMA. The GIS analysis has provided fundamental data that will be useful in rationalising the FS emptying and transport cost in the study area. Moreover, it revealed that about 20–40% of the localities were outside the 15–25 km sustainable maximum transport distance recommended by some scholars. Finally, the findings highlight the importance of looking beyond administrative boundaries when planning for FS management logistics and infrastructure and also show that the most impoverished communities in the Accra metropolis may not necessarily be the least served when it comes to FS collection and haulage.
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spelling pubmed-68198482019-11-04 GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana Sagoe, Gideon Danquah, Felix Safo Amofa-Sarkodie, Eric Simon Appiah-Effah, Eugene Ekumah, Elsie Mensah, Emmanuel Kwaw Karikari, Kenneth Sefa Heliyon Article This study employed GIS tools to help optimise faecal sludge (FS) management in the Greater Accra Metropolitan Area (GAMA) and its environs in Ghana. First, the rates of excreta generation, FS generation and FS collection were quantified based on literature, census and FS discharge data obtained from treatment plants in the study area. Next, we mapped the FS collection to the administrative areas in GAMA based on discharge records obtained from Lavender Hill, the main faecal treatment (FTP) and estimated the travel distance and travel time from the various FS desludging neighbourhoods to the plant. The results of the study show that the excreta and FS generation rates in GAMA are 604 L/cap/yr and 4,137 L/cap/yr, respectively. About 1 million m(3) of FS was collected and treated in the study area in 2018, with a collection rate of 244 L/cap/yr. The private sector dominates this collection, haulage and treatment of FS in GAMA. The GIS analysis has provided fundamental data that will be useful in rationalising the FS emptying and transport cost in the study area. Moreover, it revealed that about 20–40% of the localities were outside the 15–25 km sustainable maximum transport distance recommended by some scholars. Finally, the findings highlight the importance of looking beyond administrative boundaries when planning for FS management logistics and infrastructure and also show that the most impoverished communities in the Accra metropolis may not necessarily be the least served when it comes to FS collection and haulage. Elsevier 2019-09-21 /pmc/articles/PMC6819848/ /pubmed/31687595 http://dx.doi.org/10.1016/j.heliyon.2019.e02505 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sagoe, Gideon
Danquah, Felix Safo
Amofa-Sarkodie, Eric Simon
Appiah-Effah, Eugene
Ekumah, Elsie
Mensah, Emmanuel Kwaw
Karikari, Kenneth Sefa
GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title_full GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title_fullStr GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title_full_unstemmed GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title_short GIS-aided optimisation of faecal sludge management in developing countries: the case of the Greater Accra Metropolitan Area, Ghana
title_sort gis-aided optimisation of faecal sludge management in developing countries: the case of the greater accra metropolitan area, ghana
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6819848/
https://www.ncbi.nlm.nih.gov/pubmed/31687595
http://dx.doi.org/10.1016/j.heliyon.2019.e02505
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