TY - JOUR
T1 - Developing a stochastic conflict resolution model for urban runoff quality management
T2 - Application of info-gap and bargaining theories
AU - Ghodsi, Seyed Hamed
AU - Kerachian, Reza
AU - Estalaki, Siamak Malakpour
AU - Nikoo, Mohammad Reza
AU - Zahmatkesh, Zahra
N1 - Funding Information:
The authors would like to thank the handling editor and three anonymous reviewers for their insightful and constructive comments, which led to significant improvement of the paper. Also, the authors would like to acknowledge the financial support of the University of Tehran for this research under grant number 8102060/1/08. The technical contribution made by Ms. Maryam Soltani (Ph.D. Candidate at the School of Civil Engineering, University of Tehran, Iran) is also acknowledged.
Publisher Copyright:
© 2015 Elsevier B.V.
PY - 2016/2/1
Y1 - 2016/2/1
N2 - 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.
AB - 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.
KW - Bargaining theory
KW - Info-gap theory
KW - Low Impact Development (LID)
KW - SWMM
KW - Uncertainty analysis
KW - Urban runoff
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U2 - 10.1016/j.jhydrol.2015.11.045
DO - 10.1016/j.jhydrol.2015.11.045
M3 - Article
AN - SCOPUS:84951050341
SN - 0022-1694
VL - 533
SP - 200
EP - 212
JO - Journal of Hydrology
JF - Journal of Hydrology
ER -