An analytical framework for flood water conservation considering forecast uncertainty and acceptable risk
W Ding, C Zhang, Y Peng, R Zeng… - Water Resources …, 2015 - Wiley Online Library
This paper addresses how much flood water can be conserved for use after the flood season
through the operation of reservoir by taking into account the residual flood control capacity …
through the operation of reservoir by taking into account the residual flood control capacity …
Variability effect of hydrological regime on river quality pattern and its uncertainties: case study of Zarjoob River in Iran
S Ebrahimi, M Khorram - Journal of Hydroinformatics, 2021 - iwaponline.com
River water quality assessment, affected by pollution load, and river regime changes in
various climate conditions, is an implementation that simplifies water resources …
various climate conditions, is an implementation that simplifies water resources …
Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network
Due to the complicated nature of environmental processes, consideration of uncertainty is
an important part of environmental modelling. In this paper, a new variant of the machine …
an important part of environmental modelling. In this paper, a new variant of the machine …
Uncertainty-based rainfall network design using a fuzzy spatial interpolation method
The importance of optimization of rain gauge stations locations is critical given that rainfall
data is central to various water-related studies. As rainfall data has vagueness in nature …
data is central to various water-related studies. As rainfall data has vagueness in nature …
A Fuzzy Multidimensional Risk Assessment Method for Sewer Asset Management
This paper presents a flexible framework that aims at estimating the risk of structural failure
in sewer pipes by utilizing limited or imperfect data. To this end, classical risk analysis is …
in sewer pipes by utilizing limited or imperfect data. To this end, classical risk analysis is …
An uncertainty-based regional comparative analysis on the performance of different bias correction methods in statistical downscaling of precipitation
Abstract Statistical downscaling of General Circulation Models (GCM) simulations is widely
used for projecting precipitation at different spatiotemporal scales. However, the …
used for projecting precipitation at different spatiotemporal scales. However, the …
Global gridded products efficiency in closing water balance models: various modeling scenarios for behavioral assessments
Nowadays, large-scale and remotely sensed products have been widely used, and this
study aims to investigate the effect of precipitation and evapotranspiration (ET) products on …
study aims to investigate the effect of precipitation and evapotranspiration (ET) products on …
Application of multi-criteria decision making and GIS for check dam Layout in the Ilanlu Basin, Northwest of Hamadan Province, Iran
Monitoring and managing floods and sediments are considered major challenges in the
sustainable management of watersheds. Hence, an effective layout of the hydraulic …
sustainable management of watersheds. Hence, an effective layout of the hydraulic …
A fuzzy B ayesian approach to flood frequency estimation with imprecise historical information
JL Salinas, A Kiss, A Viglione, R Viertl… - Water resources …, 2016 - Wiley Online Library
This paper presents a novel framework that links imprecision (through a fuzzy approach)
and stochastic uncertainty (through a Bayesian approach) in estimating flood probabilities …
and stochastic uncertainty (through a Bayesian approach) in estimating flood probabilities …
Do direct and inverse uncertainty assessment methods present the same results?
Hydrological models are simplified imitations of natural and man-made water systems, and
because of this simplification, always deal with inherent uncertainty. To develop more …
because of this simplification, always deal with inherent uncertainty. To develop more …