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Title: Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana
Authors: Koppelaar, R.H.E.M
Sule, M.N
Kis, Z
Mensah, F.K
Wang, X 
Triantafyllidis, C
van Dam, K.H
Shah, N
Keywords: Mapping
Open Data
Wastewater treatment
Infrastructure development
Integration frameworks
Modelling methodology
Planning tools
Quantitative mapping
Service provisions
Treated wastewater
Treatment capacity
Data integration
data set
detection method
mapping method
service provision
sustainable development
wastewater treatment
Greater Accra
Issue Date: 2018
Citation: Koppelaar, R.H.E.M, Sule, M.N, Kis, Z, Mensah, F.K, Wang, X, Triantafyllidis, C, van Dam, K.H, Shah, N (2018). Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana. Water (Switzerland) 10 (9) : 1278. ScholarBank@NUS Repository.
Rights: Attribution 4.0 International
Abstract: 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 ofWASH 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 theGAMAWASH 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 m3 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 m3 per day treatment capacity operational. The combined data sets are made available to support research and sustainable development activities. © 2019 by the authors.
Source Title: Water (Switzerland)
ISSN: 20734441
DOI: 10.3390/W10091278
Rights: Attribution 4.0 International
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