A Stochastic Conflict Resolution Optimization Model for Flood Management in Detention Basins: Application of Fuzzy Graph Model

Abstract

Floods are a natural disaster of significant concern because of their considerable damages to people’s livelihood. To this extent, there is a critical need to enhance flood management techniques by establishing proper infrastructure, such as detention basins. Although intelligent models may be adopted for flood management by detention basins, there is a literature gap on the optimum design of such structures while facing flood risks. The presented study filled this research gap by introducing a methodology to obtain the optimum design of detention basins using a stochastic conflict resolution optimization model considering inflow hydrographs uncertainties. This optimization model was developed by minimizing the conditional value-at-risk (CvaR) of flood overtopping, downstream flood damage, and deficit risk of water demand, as well as the deviation of flood overtopping and downstream damage based on non-linear interval number programming (NINP), for four different outlets types via a robust optimization tool, namely the non-dominated sorting genetic algorithm-III (NSGA-III). Conflict resolution was performed using the graph model for conflict resolution (GMCR) technique, enhanced by fuzzy preferences, to comply with the authorities’ priorities. Results indicated that the proposed framework could effectively design optimum detention basins consistent with the regional and hydrological standards.

Efficient Reservoir Operation in an Arid Region with Extreme Hydrologic Flows: A Case Study, Oman's Largest Dam

“…Optimal dam reservoir water resource allocation is essential for efficient and sustainable environmental health and development (Agarwal et al, 2018;Nematollahi et al, 2021). The capability of adequate water resources management requires correctly understanding the physical system and the inclusion of hydrological procedures (Mustafa & Yusuf, 2012;Yazdandoost et al, 2021;Nematollahi et al, 2022). Climate change is an essential factor affecting the efficiency of water resource systems (Hong et al, 2016).…”