An overview of flood concepts, challenges, and future directions
This review provides a broad overview of the current state of flood research, current
challenges, and future directions. Beginning with a discussion of flood-generating …
challenges, and future directions. Beginning with a discussion of flood-generating …
The science behind scour at bridge foundations: A review
Foundation scour is among the main causes of bridge collapse worldwide, resulting in
significant direct and indirect losses. A vast amount of research has been carried out during …
significant direct and indirect losses. A vast amount of research has been carried out during …
Stochastic planning of a multi-microgrid considering integration of renewable energy resources and real-time electricity market
This paper presents a stochastic planning algorithm to plan an operation of a multi-microgrid
(MMG) in an electricity market considering the integration of stochastic renewable energy …
(MMG) in an electricity market considering the integration of stochastic renewable energy …
A global-scale investigation of stochastic similarities in marginal distribution and dependence structure of key hydrological-cycle processes
To seek stochastic analogies in key processes related to the hydrological cycle, an extended
collection of several billions of data values from hundred thousands of worldwide stations is …
collection of several billions of data values from hundred thousands of worldwide stations is …
Identification of the most suitable probability distribution models for maximum, minimum, and mean streamflow
Hydrological studies are useful in designing, planning, and managing water resources,
infrastructure, and ecosystems. Probability distribution models are applied in extreme flood …
infrastructure, and ecosystems. Probability distribution models are applied in extreme flood …
Application of hybrid machine learning models and data pre-processing to predict water level of watersheds: Recent trends and future perspective
SJ Mohammed, SL Zubaidi, S Ortega-Martorell… - Cogent …, 2022 - Taylor & Francis
The community's well-being and economic livelihoods are heavily influenced by the water
level of watersheds. The changes in water levels directly affect the circulation processes of …
level of watersheds. The changes in water levels directly affect the circulation processes of …
A multilayer perceptron model for stochastic synthesis
Time series analysis is a major mathematical tool in hydrology, with the moving average
being the most popular model type for this purpose due to its simplicity. During the last 20 …
being the most popular model type for this purpose due to its simplicity. During the last 20 …
Simulation of non-Gaussian correlated random variables, stochastic processes and random fields: Introducing the anySim R-Package for environmental applications …
Stochastic simulation has a prominent position in a variety of scientific domains including
those of environmental and water resources sciences. This is due to the numerous …
those of environmental and water resources sciences. This is due to the numerous …
Projecting the future of rainfall extremes: Better classic than trendy
T Iliopoulou, D Koutsoyiannis - Journal of Hydrology, 2020 - Elsevier
Non-stationarity approaches have been increasingly popular in hydrology, reflecting
scientific concerns regarding intensification of the water cycle due to global warming. A …
scientific concerns regarding intensification of the water cycle due to global warming. A …
Revealing hidden persistence in maximum rainfall records
T Iliopoulou, D Koutsoyiannis - Hydrological Sciences Journal, 2019 - Taylor & Francis
Clustering of extremes is critical for hydrological design and risk management and
challenges the popular assumption of independence of extremes. We investigate the links …
challenges the popular assumption of independence of extremes. We investigate the links …