A decision support tool to place drinking water sources in rural communities.

Decision support tool Developing countries Drinking water GPS data Rural Water source choice

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
10 Aug 2022
Historique:
received: 31 10 2021
revised: 28 03 2022
accepted: 02 04 2022
pubmed: 11 4 2022
medline: 7 6 2022
entrez: 10 4 2022
Statut: ppublish

Résumé

Installing more drinking water sources is a promising way to achieve the 6th sustainable development goal "Clean water and sanitation" in rural communities. A key parameter for the installation of new water pumps is geographical position, because the number of people who could gain access to drinking water depends on the location of the pump. To improve the choice of the most appropriate location, we propose a decision support tool to place a new drinking water source in a rural community. This tool relies on four complementary maps, which are obtained from GPS data, survey data, and a water source choice model. The first map shows the spatial distribution of the households and of the existing water sources in the village. The three remaining maps present the following quantities as a function of the position of a new drinking water source in the village: the number of users of the new drinking water source, the improvement of drinking water access, and the daily water demand per capita at the new drinking water source. The decision support tool is applied to a village in Burkina Faso. Results indicate that using the proposed method could allow eight times more people to gain access to drinking water in comparison to a random positioning of the new drinking water source. The original contribution of this work is, first, the consideration of existing water sources in the village, as well as seasonality. Second, we base our analysis on a water source choice model, which accounts for water quality in addition to the distance to the water source. Third, we consider the variability of the water volume collected by the households throughout the village. The developed tool is generic, transferable to other villages and useful for various decision-making entities (e.g. local authorities and non-governmental organizations).

Identifiants

pubmed: 35398131
pii: S0048-9697(22)02162-3
doi: 10.1016/j.scitotenv.2022.155069
pii:
doi:

Substances chimiques

Drinking Water 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

155069

Informations de copyright

Copyright © 2022 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sébastien Ferreira (S)

Université Paris-Saclay, CentraleSupélec, CNRS, GeePs, 91192 Gif-sur-Yvette, France; Sorbonne Université, CNRS, GeePs, 75252 Paris, France; DargaTech SARL, Ouagadougou, Burkina Faso. Electronic address: sebastien.ferreira@centralesupelec.fr.

Simon Meunier (S)

Université Paris-Saclay, CentraleSupélec, CNRS, GeePs, 91192 Gif-sur-Yvette, France; Sorbonne Université, CNRS, GeePs, 75252 Paris, France.

Matthias Heinrich (M)

COSYS-GRETTIA, Université Gustave Eiffel, Marne-la-Vallée, France.

Judith A Cherni (JA)

Centre for Environmental Policy, Imperial College London, London SW7 2AZ, UK.

Arouna Darga (A)

Université Paris-Saclay, CentraleSupélec, CNRS, GeePs, 91192 Gif-sur-Yvette, France; Sorbonne Université, CNRS, GeePs, 75252 Paris, France.

Loïc Quéval (L)

Université Paris-Saclay, CentraleSupélec, CNRS, GeePs, 91192 Gif-sur-Yvette, France; Sorbonne Université, CNRS, GeePs, 75252 Paris, France.

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