Generalizing multi-reward functions aimed at identifying the best locations to install flow control devices in sewer systems

David F. Muñoz*, Nuno E. Simões, Luís M. de Sousa, Lucas Maluf, Alfeu Sá Marques, João P. Leitão

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

Multi-criteria decision models have been recently implemented in many urban flood risk management schemes due to the increasing demand of low-cost and reliable solutions to prevent and control overflow from sewer systems. Based on specific targets, these decision models encompass multiple reward (or objective) functions according to socio-economic requirements, vulnerability assessments and physical constraints on existing sewer systems. In this study, we present a simple algorithm to generalize reward functions aimed at locating the best sites to install in-sewer flow control devices, and thus controlling sewer overflow. The algorithm uses the mathematical structure of reward functions previously established, and adjust them based on hydraulic simulation results of two real sewer networks. Our results indicate that a single generalized reward function can efficiently identify strategic locations to guarantee (i) maximum in-sewer storage, (ii) minimum impact of possible flow control device failures and (iii) maximum flow discharge reduction upstream flood-prone urban areas.

Original languageEnglish
Pages (from-to)564-574
Number of pages11
JournalUrban Water Journal
Volume16
Issue number8
DOIs
Publication statusPublished - 14 Sept 2019

Keywords

  • in-sewer flow control device
  • multi-criteria decision models
  • reward function
  • sewer overflow
  • Spearman rank correlation coefficient
  • Urban flood control

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