Flood hazard mapping methods: A review

RB Mudashiru, N Sabtu, I Abustan, W Balogun - Journal of hydrology, 2021 - Elsevier
Flood hazard mapping (FHM) has undergone significant development in terms of approach
and capacity of the result to meet the target of policymakers for accurate prediction and …

Deep learning with a long short-term memory networks approach for rainfall-runoff simulation

C Hu, Q Wu, H Li, S Jian, N Li, Z Lou - Water, 2018 - mdpi.com
Considering the high random and non-static property of the rainfall-runoff process, lots of
models are being developed in order to learn about such a complex phenomenon. Recently …

IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling

B Mohammadi, MJS Safari, S Vazifehkhah - Scientific Reports, 2022 - nature.com
As a complex hydrological problem, rainfall-runoff (RR) modeling is of importance in runoff
studies, water supply, irrigation issues, and environmental management. Among the variety …

Soil moisture for hydrological applications: Open questions and new opportunities

L Brocca, L Ciabatta, C Massari, S Camici, A Tarpanelli - Water, 2017 - mdpi.com
Soil moisture is widely recognized as a key parameter in the mass and energy balance
between the land surface and the atmosphere and, hence, the potential societal benefits of …

Physics-aware machine learning revolutionizes scientific paradigm for machine learning and process-based hydrology

Q Xu, Y Shi, J Bamber, Y Tuo, R Ludwig… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …

Enhancing flood susceptibility modeling using multi-temporal SAR images, CHIRPS data, and hybrid machine learning algorithms

M Riazi, K Khosravi, K Shahedi, S Ahmad, C Jun… - Science of The Total …, 2023 - Elsevier
Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …

Effects of low impact development on the stormwater runoff and pollution control

G Fan, R Lin, Z Wei, Y Xiao, H Shangguan… - Science of The Total …, 2022 - Elsevier
The frequent urbanization and extreme rainfall events have posed the threat to the urban
environment. The implementation of low impact development (LID) practices with great …

New neural fuzzy-based machine learning ensemble for enhancing the prediction accuracy of flood susceptibility mapping

R Costache, R Țîncu, I Elkhrachy… - Hydrological …, 2020 - Taylor & Francis
High-accuracy flood susceptibility maps play a crucial role in flood vulnerability assessment
and risk mitigation. This study assesses the potential application of three new ensemble …

Exploiting satellite-based surface soil moisture for flood forecasting in the Mediterranean area: State update versus rainfall correction

C Massari, S Camici, L Ciabatta, L Brocca - Remote Sensing, 2018 - mdpi.com
Many satellite soil moisture products are today globally available in near real-time. These
observations are of paramount importance for enhancing the understanding of the …

A comparison of continuous and event-based rainfall–runoff (RR) modelling using EPA-SWMM

S Hossain, GA Hewa, S Wella-Hewage - Water, 2019 - mdpi.com
This study investigates the comparative performance of event-based and continuous
simulation modelling of a stormwater management model (EPA-SWMM) in calculating total …