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
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spelling sg-nus-scholar.10635-1782722024-03-26T08:56:58Z Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana Koppelaar, R.H.E.M Sule, M.N Kis, Z Mensah, F.K Wang, X Triantafyllidis, C van Dam, K.H Shah, N CHEMICAL & BIOMOLECULAR ENGINEERING 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 10.3390/W10091278 Water (Switzerland) 10 9 1278 2020-10-20T08:59:55Z 2020-10-20T08:59:55Z 2018 Article 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. https://doi.org/10.3390/W10091278 20734441 https://scholarbank.nus.edu.sg/handle/10635/178272 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic 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
spellingShingle 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
Koppelaar, R.H.E.M
Sule, M.N
Kis, Z
Mensah, F.K
Wang, X
Triantafyllidis, C
van Dam, K.H
Shah, N
Framework for WASH sector data improvements in data-poor environments, applied to Accra, Ghana
description 10.3390/W10091278
author2 CHEMICAL & BIOMOLECULAR ENGINEERING
author_facet CHEMICAL & BIOMOLECULAR ENGINEERING
Koppelaar, R.H.E.M
Sule, M.N
Kis, Z
Mensah, F.K
Wang, X
Triantafyllidis, C
van Dam, K.H
Shah, N
format Article
author Koppelaar, R.H.E.M
Sule, M.N
Kis, Z
Mensah, F.K
Wang, X
Triantafyllidis, C
van Dam, K.H
Shah, N
author_sort Koppelaar, R.H.E.M
title 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_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_sort framework for wash sector data improvements in data-poor environments, applied to accra, ghana
publishDate 2020
url https://scholarbank.nus.edu.sg/handle/10635/178272
_version_ 1795301217040072704

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