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Identification of suitable zones for manual drilling using borehole data, thematic maps and remote sensing

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conference contribution
posted on 2018-02-12, 15:10 authored by Fabio Fussi, Cheik H. Kane, Francesco Fava, Biagio Di Mauro, Tullia Bonomi, Letizia Fumagalli, Margherita Di Leo, Gayane Faye, Magatte Niang, Souleye Wade, Barry Hamidou, Roberto Colombo
Manual drilling is a possible option to increase access to safe water with low cost techniques, but it can be applied only where hydrogeological conditions are suitable. To improve the method to produce maps of suitable zones for manual drilling, a research project has been carried out in Senegal and Guinea. The main objective is to elaborate a new method of interpretation of hydrogeological data and integrate indirect environmental information obtained from public data, available all over the world. The final results are more reliable and detailed maps to support manual drilling implementation, as well specific tools and method to process water point data. This paper presents the results obtained in Senegal and suggests some recommendations for future application.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

FUSSI, F. ... et al, 2015. Identification of suitable zones for manual drilling using borehole data, thematic maps and remote sensing. IN: Shaw, R.J. (ed). Water, sanitation and hygiene services beyond 2015 - Improving access and sustainability: Proceedings of the 38th WEDC International Conference, Loughborough, UK, 27-31 July 2015, 6pp.

Publisher

© WEDC, Loughborough University

Version

  • VoR (Version of Record)

Publisher statement

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

2015

Notes

This is a conference paper.

Other identifier

WEDC_ID:22173

Language

  • en

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