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Case studies of data collection and decision-making for small low-income community water supply in Nepal

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conference contribution
posted on 12.02.2018 by Sabitri Tripathi, M.R. Templeton, W. Yiu, N. Tapley
This project seeks to develop decision making tools to aid practitioners in Nepal to select appropriate improved water supply measures, using selected small low income communities as case studies. These include three rural communities (Bhalakhalak, Sonbarshi, Chamar Tolia) and a periurban squatter community near Kathmandu (Manohara). Household data was collected via questionnaires and site visits to assess the current practices and inform decision making. Standard water quality data was also collected to characterise water sources, several of which were deemed unsuitable for safe water supply. A decision framework, in the form of a ‘Yes/No’ decision tree, was then developed which incorporated site specific technical, demographic, and socioeconomic considerations and used literature information and local experience. It is hoped that the framework can be applied to decision making in other low income communities that face similar challenges.
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School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

TRIPATHI, S. ... et al, 2009. Case studies of data collection and decision-making for small low-income community water supply in Nepal. IN: Shaw, R.J. (ed). Water, sanitation and hygiene - Sustainable development and multisectoral approaches: Proceedings of the 34th WEDC International Conference, Addis Ababa, Ethiopia, 18-22 May 2009, 4p.p.

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© WEDC, Loughborough University

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VoR (Version of Record)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2009

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This is a conference paper.

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WEDC_ID:10932

Language

en

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