Advertisement

Designing a Water Supply Network for Slums in Rio de Janeiro Using Mixed-Integer Programming

  • Marvin Meck
  • Lea Rausch
  • John Friesen
  • Michael Wurm
  • Hannes Taubenböck
  • Lena Altherr
  • Peter F. PelzEmail author
Conference paper
Part of the Operations Research Proceedings book series (ORP)

Abstract

UN Sustainability Development Goal No. 6 aims at ensuring access to water and sanitation for all people by 2030. We address this goal in a multidisciplinary approach by applying mathematical optimisation methods to design optimal water supply systems for underserved areas, such as living environments of the urban poor, which are not integral part of the formal city. Hereby, we use remote sensing data to spatially localise the underserved areas operationalised by typical morphologic indicators for slum areas. With it, slum sizes and locations are spatial information available as input data for the decision problem. This problem is modelled as a MIP and chooses between different approaches combining supply by motorised vehicles with installed pipe systems while minimising overall costs. The solution of this MIP, the design of a low-cost water supply network, is presented and analysed for a slum cluster in Rio de Janeiro.

Keywords

Engineering optimisation Mixed-integer programming Sustainable development 

References

  1. 1.
    Taubenböck, H., Esch, T., Felbier, A., Wiesner, M., Roth, A., Dech, S.: Monitoring of mega cities from space. Remote Sens. Environ. 117, 162–176 (2012)CrossRefGoogle Scholar
  2. 2.
    Van der Bruggen, B., Borghgraef, K., Vinckier, C.: Causes of water supply problems in urbanised regions in developing countries. Water Resour. Manag. 24(9), 1885–1902 (2010)CrossRefGoogle Scholar
  3. 3.
    United Nations Human Settlements Programme: World Cities Report 2016 (2016)Google Scholar
  4. 4.
    Kraas, F., et al.: Der Umzug der Menschheit: Die transformative Kraft der Städte. WBGU—German Advisory Council on Global Change, Berlin (2016)Google Scholar
  5. 5.
    Rausch, L., Friesen, J., Altherr, L.C., Pelz, P.F.: Using mixed-integer programming for the optimal design of water supply networks for slums. In: Operations Research Proceedings 2017: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR). Springer, Berlin (2017)Google Scholar
  6. 6.
    Rausch, L., Friesen, J., Altherr, L.C., Meck, M., Pelz, P.F.: A holistic concept to design optimal water supply infrastructures for informal settlements using remote sensing data. Remote Sens. 10(2), 216 (2018)CrossRefGoogle Scholar
  7. 7.
    Wurm, M., Taubenböck, H.: Detecting social groups from space–remote sensing-based mapping of morphological slums and assessment with income data. Remote Sens. Lett. 9(1), 41–50 (2018)CrossRefGoogle Scholar
  8. 8.
    Taubenböck, H., Kraff, N.J., Wurm, M.: The morphology of the arrival city: a global categorization based on literature surveys and remotely sensed data. Appl. Geogr. 92, 150–167 (2018)CrossRefGoogle Scholar
  9. 9.
    Sliuzas, R., Mboup, G., de Sherbinin, A.: Report of the expert group meeting on slum identification and mapping (2008)Google Scholar
  10. 10.
    Kohli, D., Sliuzas, R., Kerle, N., Stein, A.: An ontology of slums for image – based classification. Comput. Environ. Urban. Syst. 36(2), 154–163 (2012)CrossRefGoogle Scholar
  11. 11.
    Spurk, J., Aksel, N.: Strömungslehre: Einführung in die Theorie der Strömungen. Springer-Lehrbuch. Springer, Berlin (2010)Google Scholar
  12. 12.
    Bird, R.B., Stewart, W.E., Lightfoot, E.N.: Transport Phenomena, 2nd edn. Wiley, London (2001)Google Scholar
  13. 13.
    DIN EN 10255: Non-Alloy steel tubes suitable for welding and threading - Technical delivery conditions. Standard, Deutsches Institut Für Normung (2007)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Marvin Meck
    • 1
  • Lea Rausch
    • 1
  • John Friesen
    • 1
  • Michael Wurm
    • 2
  • Hannes Taubenböck
    • 2
  • Lena Altherr
    • 1
  • Peter F. Pelz
    • 1
    Email author
  1. 1.Department of Mechanical EngineeringTechnische Universität DarmstadtDarmstadtGermany
  2. 2.Earth Observation Center (EOC)Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)WeßlingGermany

Personalised recommendations