KIT | KIT-Bibliothek | Impressum | Datenschutz

On the combination of water emergency wells and mobile treatment systems: a case study of the city of Berlin

Stallkamp, Christoph; Diehlmann, Florian; Lüttenberg, Markus; Wiens, Marcus; Volk, Rebekka; Schultmann, Frank

A shortage of water leads to severe consequences for populations. Recent examples like the ongoing water shortage in Kapstadt or in Gloucestershire in 2007 highlight both the challenges authorities face to restore the water supply and the importance of installing efficient preparedness measures and plans. This study develops a proactive planning approach of emergency measures for possible impairments of water supply systems and validates this with a case study on water contamination in the city of Berlin. We formulate a capacitated maximal covering problem as a mixed-integer optimization model where we combine existing emergency infrastructure with the deployment of mobile water treatment systems. The model selects locations for mobile water treatment systems to maximize the public water supply within defined constraints. With the extension to a multi-objective decision making model, possible trade-offs between the water supply coverage and costs, and between the coverage of differently prioritized demand points are investigated. Therefore, decision makers benefit from a significantly increased transparency regarding potential outcomes of their decisions, leading to improved decisions before and during a crisis.

Open Access Logo

Verlagsausgabe §
DOI: 10.5445/IR/1000124377
Veröffentlicht am 24.11.2020
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 0254-5330, 1572-9338
KITopen-ID: 1000124377
Erschienen in Annals of operations research
Verlag Springer
Projektinformation NOLAN (BMBF, EU 6. RP, 13N14457)
Vorab online veröffentlicht am 07.10.2020
Schlagwörter Humanitarian logistics, Water contamination, Emergency wells, Disaster, GIS, Optimization
Nachgewiesen in Web of Science
Relationen in KITopen
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page