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A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data

Rausch, Lea and Friesen, John and Altherr, Lena and Meck, Marvin and Pelz, P. F. (2018):
A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data.
In: Remote Sensing 2018, MDPI, 10, (2), ISSN 2072-4292,
DOI: 10.3390/rs10020216,
[Online-Edition: http://www.mdpi.com/2072-4292/10/2/216/pdf],
[Article]

Abstract

Ensuring access to water and sanitation for all is Goal No. 6 of the 17 UN Sustainability Development Goals to transform our world. As one step towards this goal, we present an approach that leverages remote sensing data to plan optimal water supply networks for informal urban settlements. The concept focuses on slums within large urban areas, which are often characterized by a lack of an appropriate water supply. We apply methods of mathematical optimization aiming to find a network describing the optimal supply infrastructure. Hereby, we choose between different decentral and central approaches combining supply by motorized vehicles with supply by pipe systems. For the purposes of illustration, we apply the approach to two small slum clusters in Dhaka and Dar es Salaam. We show our optimization results, which represent the lowest cost water supply systems possible. Additionally, we compare the optimal solutions of the two clusters (also for varying input parameters, such as population densities and slum size development over time) and describe how the result of the optimization depends on the entered remote sensing data.

Item Type: Article
Erschienen: 2018
Creators: Rausch, Lea and Friesen, John and Altherr, Lena and Meck, Marvin and Pelz, P. F.
Title: A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data
Language: English
Abstract:

Ensuring access to water and sanitation for all is Goal No. 6 of the 17 UN Sustainability Development Goals to transform our world. As one step towards this goal, we present an approach that leverages remote sensing data to plan optimal water supply networks for informal urban settlements. The concept focuses on slums within large urban areas, which are often characterized by a lack of an appropriate water supply. We apply methods of mathematical optimization aiming to find a network describing the optimal supply infrastructure. Hereby, we choose between different decentral and central approaches combining supply by motorized vehicles with supply by pipe systems. For the purposes of illustration, we apply the approach to two small slum clusters in Dhaka and Dar es Salaam. We show our optimization results, which represent the lowest cost water supply systems possible. Additionally, we compare the optimal solutions of the two clusters (also for varying input parameters, such as population densities and slum size development over time) and describe how the result of the optimization depends on the entered remote sensing data.

Journal or Publication Title: Remote Sensing 2018
Volume: 10
Number: 2
Publisher: MDPI
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute for Fluid Systems (FST)
Date Deposited: 06 Feb 2018 09:25
DOI: 10.3390/rs10020216
Official URL: http://www.mdpi.com/2072-4292/10/2/216/pdf
URN: urn:nbn:de:tuda-tuprints-72423
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