Rausch, L. ; Friesen, John ; Altherr, Lena ; Meck, Marvin ; Pelz, P. F. (2018)
A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data.
In: Remote Sensing 2018, 10 (2)
doi: 10.3390/rs10020216
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, L. ; Friesen, John ; Altherr, Lena ; Meck, Marvin ; Pelz, P. F. |
| Type of entry: | Bibliographie |
| Title: | A Holistic Concept to Design Optimal Water Supply Infrastructures for Informal Settlements Using Remote Sensing Data |
| Language: | English |
| Date: | 1 February 2018 |
| Publisher: | MDPI |
| Journal or Publication Title: | Remote Sensing 2018 |
| Volume of the journal: | 10 |
| Issue Number: | 2 |
| DOI: | 10.3390/rs10020216 |
| URL / URN: | http://www.mdpi.com/2072-4292/10/2/216/pdf |
| Corresponding Links: | |
| 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. |
| Classification DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) > Sustainable System Design and Operation (2020 merged into Sustainable System Design) 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006) > Urbanization and Infrastructures |
| Date Deposited: | 06 Feb 2018 09:25 |
| Last Modified: | 25 May 2023 09:02 |
| PPN: | |
| Corresponding Links: | |
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