Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana

Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana

10.3390/W10091278

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Bibliographic Details
Main Authors: Koppelaar, R.H.E.M, Sule, M.N, Kis, Z, Mensah, F.K, Wang, X, Triantafyllidis, C, van Dam, K.H, Shah, N
Other Authors: CHEMICAL & BIOMOLECULAR ENGINEERING
Format: Article
Published: 2020
Subjects:
Mapping
Open Data
Sanitation
Sewage
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
wastewater treatment
Ghana
Greater Accra
Online Access:https://scholarbank.nus.edu.sg/handle/10635/178272
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/178272

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