Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices

L Tan, J Guo, S Mohanarajah, K Zhou - Natural Hazards, 2021 - Springer
There has been an unsettling rise in the intensity and frequency of natural disasters due to
climate change and anthropogenic activities. Artificial intelligence (AI) models have shown …

A systematic review of Muskingum flood routing techniques

A Salvati, A Moghaddam Nia… - Hydrological …, 2024 - Taylor & Francis
Flood routing is an important topic in engineering hydrology and an integral part of flood
management and hydrodynamic modelling studies. Muskingum and Muskingum-Cunge …

Development of a distributed nonlinear Muskingum model by considering snowmelt effects for flood routing in the Red River

V Atashi, R Barati, YH Lim - Scientific Reports, 2023 - nature.com
This research paper presents the development of a nonlinear Muskingum model which
achieves precise flood routing through river reaches while considering lateral inflow …

Improving the Muskingum flood routing method using a hybrid of particle swarm optimization and bat algorithm

M Ehteram, F Binti Othman, Z Mundher Yaseen… - Water, 2018 - mdpi.com
Flood prediction and control are among the major tools for decision makers and water
resources planners to avoid flood disasters. The Muskingum model is one of the most widely …

Flood hydrograph prediction using machine learning methods

G Tayfur, VP Singh, T Moramarco, S Barbetta - Water, 2018 - mdpi.com
Machine learning (soft) methods have a wide range of applications in many disciplines,
including hydrology. The first application of these methods in hydrology started in the 1990s …

Investigation the effect of using variable values for the parameters of the linear Muskingum method using the particle swarm algorithm (PSO)

J Bazargan, H Norouzi - Water Resources Management, 2018 - Springer
Flood routing is a technique to determine the flood hydrograph at a point of downstream
where is of great importance and flood-induced risks can cause irreparable damages …

Comparison of the gene expression programming, artificial neural network (ANN), and equivalent Muskingum inflow models in the flood routing of multiple branched …

A Pashazadeh, M Javan - Theoretical and Applied Climatology, 2020 - Springer
Floods are considered as natural hazards. The parameter estimation of hydrologic methods
is time-consuming in the flood routing of multiple inflows river systems. This paper presents …

Nature-Inspired Approaches for Optimizing Food Drying Processes: A Critical Review

SHM Ashtiani, A Martynenko - Food Engineering Reviews, 2025 - Springer
Food drying is a critical process in food preservation, directly impacting the quality, energy
consumption, and environmental sustainability of the final product. Traditional optimization …

Development of a new 8-parameter muskingum flood routing model with modified inflows

EH Lee - Water, 2021 - mdpi.com
Flood routing can be subclassified into hydraulic and hydrologic flood routing; the former
yields accurate values but requires a large amount of data and complex calculations. The …

Analysis and evaluation of flood routing using Muskingum method

J Alhumoud - Journal of Applied Engineering Science, 2022 - aseestant.ceon.rs
There are several mathematical procedures that deal with hydrologic flood routing. The
Muskingum technique is one of the most common techniques used for flood routing for river …