Climate change impacts on rainfall intensity–duration–frequency curves in local scale catchments
Muyuan Xu,
Lelys Bravo de Guenni,
José Rafael Córdova
Abstract:The increasing intensity and frequency of rainfall events, a critical aspect of climate change, pose significant challenges in the construction of intensity–duration–frequency (IDF) curves for climate projection. These curves are crucial for infrastructure development, but the non-stationarity of extreme rainfall raises concerns about their adequacy under future climate conditions. This research addresses these challenges by investigating the reasons behind the IPCC climate report’s evidence about the validity… Show more
This article proposes a novel approach to tackle the ambiguity and limitation of the Fuzzy Risk Index in assessing the severity of river pollution based on a regret theory named River Quality Regret Index (RQRI). RQRI and total treatment cost respectively represent the conflicting objectives of environmental protection and pollutant management within the river-pollutant system. Using a multi-objective optimizer simulator model, Nash bargaining identifies the agreement from the non-dominant solutions found on the exchange curve of these objectives.To further account for the spatial distribution of pollutant discharge, a new framework, Namin rule, is developed by integrating RQRI with the bankruptcy approach for waste load allocation.Implementation of this methodology on the KhoramAbad River using quantitative and qualitative data reveals the efficacy of RQRI compared to the Fuzzy risk, particularly when pollutant sources are dispersed. Additionally, Namin rule, compared to the constrained equal awards rule, demonstrates a greater utilization of the river's self-purification capacity in such scenarios. This framework offers a robust and flexible tool for managing river pollution by balancing environmental and economic considerations.
This article proposes a novel approach to tackle the ambiguity and limitation of the Fuzzy Risk Index in assessing the severity of river pollution based on a regret theory named River Quality Regret Index (RQRI). RQRI and total treatment cost respectively represent the conflicting objectives of environmental protection and pollutant management within the river-pollutant system. Using a multi-objective optimizer simulator model, Nash bargaining identifies the agreement from the non-dominant solutions found on the exchange curve of these objectives.To further account for the spatial distribution of pollutant discharge, a new framework, Namin rule, is developed by integrating RQRI with the bankruptcy approach for waste load allocation.Implementation of this methodology on the KhoramAbad River using quantitative and qualitative data reveals the efficacy of RQRI compared to the Fuzzy risk, particularly when pollutant sources are dispersed. Additionally, Namin rule, compared to the constrained equal awards rule, demonstrates a greater utilization of the river's self-purification capacity in such scenarios. This framework offers a robust and flexible tool for managing river pollution by balancing environmental and economic considerations.
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