Expression of Concern: Fuzzy-probabilistic modeling the flood characteristics using bivariate frequency analysis and α-cut decomposition

Abstract

Water allocation in agricultural lands, optimal design of hydraulic structures and climatic phenomena are the events in water management science that face hydrological uncertainties. The purpose of this study is to estimate the characteristics of surface runoff based on probabilistic and fuzzy analysis. Separation and generation of basic hydrological information, probabilistic modeling, fuzzy analysis, and optimization to achieve the solution were the main steps of the decision-making problem. Long-term hydrological data of the study area were collected, analyzed and used as a basis for the simulation model. In this study, a copula-based stochastic method was developed to deal with uncertainties related to rainfall and runoff characteristics as well as to address the nonlinear dependence between multiple random variables. The relationship between rainfall variables and flood characteristics was formulated through fuzzy set theory. The feasible domain of the fuzzy problem was searched using the non-dominated sorting genetic algorithm to find the optimal extreme points. The obtained solutions were used as a fuzzy response to calculate the flood of the Baghmalek plain in Khuzestan province in southwestern Iran. The results showed that the maximum model error occurred in predicting rainfall depth and flood volume, and the maximum rainfall rate and runoff flow could be calculated more accurately. Moreover, the developed fuzzy-probabilistic model was able to predict more than 90% of flood events within the defined fuzzy range.

Research on application of ecohydrology to disaster prevention and mitigation in China: a review

“…Disaster is a major disruption to the functioning of a community or society involving serious human, material, economic or environmental losses (Lalehzari & Kerachian 2020;Sun & Khayatnezhad 2021;Zhu et al 2021). Disasters are seen in contemporary academia as the consequence of poorly controlled risk (Ren 2021).…”

The Intensity of Agriculture in the Covid-19 from Indonesia – A Systematic Literature Review

“…Germination uniformity was calculated based on the time required for 90% germination subtracted by the time required for 10% germination, namely D90-D10, in which scores with a lower value indicate a shorter time interval between 10% and 90% of seed germination and more favorable germination uniformity [34]. Some researchers also stated that the lower absolute value for the obtained values indicated more uniformity for the germinated seeds [35][36][37][38][39][40][41][42][43][44]. Accordingly, since these seeds absorb water more rapidly under the same conditions, their germination rate and D10 occur higher and lower values, respectively.…”

Coupling coordination analysis of water-energy-food-ecology in the Yangtze River Delta

“…Projection pursuit (PP) can project the high-dimension data into low-dimensional space, which is effective in evaluate the comprehensive development level (CDL) of each subystem in WEFE. Meanwhile, due to the Genetic Algorithm (GA) can find the optimization value based on the biological evolution law and genetic mechanism (Bradford et al 2018;Sun & Khayatnezhad 2021). Therefore, we coupled GA and PP to calculate the CDL.…”