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

Description
Summary:	10.3390/W10091278