Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana
<p>Improvements in water, sanitation and hygiene (WASH) service provision are hampered by limited open data availability. This paper presents a data integration framework, collects the data and develops a material flow model, which aids data-based policy and infrastructure development for the...
| Main Authors: | , , , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
MDPI
2018
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| _version_ | 1797103481913344000 |
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| author | Koppelaar, RHEM Sule, MN Kis, Z Mensah, FK Wang, X Triantafyllidis, C Van Dam, KH Shah, N |
| author_facet | Koppelaar, RHEM Sule, MN Kis, Z Mensah, FK Wang, X Triantafyllidis, C Van Dam, KH Shah, N |
| author_sort | Koppelaar, RHEM |
| collection | OXFORD |
| description | <p>Improvements in water, sanitation and hygiene (WASH) service provision are hampered by limited open data availability. This paper presents a data integration framework, collects the data and develops a material flow model, which aids data-based policy and infrastructure development for the WASH sector. This model provides a robust quantitative mapping of the complete anthropogenic WASH flow-cycle: from raw water intake to water use, wastewater and excreta generation, discharge and treatment. This approach integrates various available sources using a process-chain bottom-up engineering approach to improve the quality of WASH planning. The data integration framework and the modelling methodology are applied to the Greater Accra Metropolitan Area (GAMA), Ghana. The highest level of understanding of the GAMA WASH sector is achieved, promoting scenario testing for future WASH developments. The results show 96% of the population had access to improved safe water in 2010 if sachet and bottled water was included, but only 67% if excluded. Additionally, 66% of 338,000 m<sup>3</sup> per day of generated wastewater is unsafely disposed locally, with 23% entering open drains, and 11% sewage pipes, indicating poor sanitation coverage. Total treated wastewater is <0.5% in 2014, with only 18% of 43,000 m<sup>3</sup> per day treatment capacity operational. The combined data sets are made available to support research and sustainable development activities.</p> |
| first_indexed | 2024-03-07T06:20:45Z |
| format | Journal article |
| id | oxford-uuid:f2a30793-7dbb-4d4f-9afe-c2695defb211 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T06:20:45Z |
| publishDate | 2018 |
| publisher | MDPI |
| record_format | dspace |
| spelling | oxford-uuid:f2a30793-7dbb-4d4f-9afe-c2695defb2112022-03-27T12:05:26ZFramework for WASH sector data improvements in data-poor environments, applied to Accra, GhanaJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f2a30793-7dbb-4d4f-9afe-c2695defb211EnglishSymplectic Elements at OxfordMDPI2018Koppelaar, RHEMSule, MNKis, ZMensah, FKWang, XTriantafyllidis, CVan Dam, KHShah, N<p>Improvements in water, sanitation and hygiene (WASH) service provision are hampered by limited open data availability. This paper presents a data integration framework, collects the data and develops a material flow model, which aids data-based policy and infrastructure development for the WASH sector. This model provides a robust quantitative mapping of the complete anthropogenic WASH flow-cycle: from raw water intake to water use, wastewater and excreta generation, discharge and treatment. This approach integrates various available sources using a process-chain bottom-up engineering approach to improve the quality of WASH planning. The data integration framework and the modelling methodology are applied to the Greater Accra Metropolitan Area (GAMA), Ghana. The highest level of understanding of the GAMA WASH sector is achieved, promoting scenario testing for future WASH developments. The results show 96% of the population had access to improved safe water in 2010 if sachet and bottled water was included, but only 67% if excluded. Additionally, 66% of 338,000 m<sup>3</sup> per day of generated wastewater is unsafely disposed locally, with 23% entering open drains, and 11% sewage pipes, indicating poor sanitation coverage. Total treated wastewater is <0.5% in 2014, with only 18% of 43,000 m<sup>3</sup> per day treatment capacity operational. The combined data sets are made available to support research and sustainable development activities.</p> |
| spellingShingle | Koppelaar, RHEM Sule, MN Kis, Z Mensah, FK Wang, X Triantafyllidis, C Van Dam, KH Shah, N Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title | Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title_full | Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title_fullStr | Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title_full_unstemmed | Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title_short | Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana |
| title_sort | framework for wash sector data improvements in data poor environments applied to accra ghana |
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