Developing a stochastic conflict resolution model for urban runoff quality management: Application of info-gap and bargaining theories

Seyed Hamed Ghodsi, Reza Kerachian*, Siamak Malakpour Estalaki, Mohammad Reza Nikoo, Zahra Zahmatkesh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

In this paper, two deterministic and stochastic multilateral, multi-issue, non-cooperative bargaining methodologies are proposed for urban runoff quality management. In the proposed methodologies, a calibrated Storm Water Management Model (SWMM) is used to simulate stormwater runoff quantity and quality for different urban stormwater runoff management scenarios, which have been defined considering several Low Impact Development (LID) techniques. In the deterministic methodology, the best management scenario, representing location and area of LID controls, is identified using the bargaining model. In the stochastic methodology, uncertainties of some key parameters of SWMM are analyzed using the info-gap theory. For each water quality management scenario, robustness and opportuneness criteria are determined based on utility functions of different stakeholders. Then, to find the best solution, the bargaining model is performed considering a combination of robustness and opportuneness criteria for each scenario based on utility function of each stakeholder. The results of applying the proposed methodology in the Velenjak urban watershed located in the northeastern part of Tehran, the capital city of Iran, illustrate its practical utility for conflict resolution in urban water quantity and quality management. It is shown that the solution obtained using the deterministic model cannot outperform the result of the stochastic model considering the robustness and opportuneness criteria. Therefore, it can be concluded that the stochastic model, which incorporates the main uncertainties, could provide more reliable results.

Original languageEnglish
Pages (from-to)200-212
Number of pages13
JournalJournal of Hydrology
Volume533
DOIs
Publication statusPublished - Feb 1 2016

Keywords

  • Bargaining theory
  • Info-gap theory
  • Low Impact Development (LID)
  • SWMM
  • Uncertainty analysis
  • Urban runoff

ASJC Scopus subject areas

  • Water Science and Technology

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