A new benchmark on machine learning methodologies for hydrological processes modelling: a comprehensive review for limitations and future research directions

ZM Yaseen - Knowledge-Based Engineering …, 2023 - … journals.publicknowledgeproject.org
The best practice of watershed management is through the understanding of the
hydrological processes. As a matter of fact, hydrological processes are highly associated …

[HTML][HTML] Digital elevation model for flood hazards analysis in complex terrain: Case study from Jeddah, Saudi Arabia

AM Al-Areeq, HO Sharif, SI Abba, S Chowdhury… - International Journal of …, 2023 - Elsevier
Abstract Global Digital Elevation Models (GDEMs) have been increasingly used to assess
the risk of flooding worldwide. However, their effectiveness and the performance of flood risk …

[HTML][HTML] Water, Resources, and Resilience: Insights from Diverse Environmental Studies

K Pietrucha-Urbanik, J Rak - Water, 2023 - mdpi.com
Water is our most precious resource, and its responsible management and utilization are
paramount in the face of ever-growing environmental challenges.“Water, Resources, and …

Enhancing rainfall-runoff simulation via meteorological variables and a deep-conceptual learning-based framework

M Achite, B Mohammadi, M Jehanzaib, N Elshaboury… - Atmosphere, 2022 - mdpi.com
Accurate streamflow simulation is crucial for many applications, such as optimal reservoir
operation and irrigation. Conceptual techniques employ physical ideas and are suitable for …

Near future flash flood prediction in an arid region under climate change

G Al-Rawas, MR Nikoo, SFM Janbehsarayi… - Scientific Reports, 2024 - nature.com
Flash floods represent a significant threat, triggering severe natural disasters and leading to
extensive damage to properties and infrastructure, which in turn results in the loss of lives …

A Synergistic Use of Remote Sensing and Hydrodynamic Techniques for Flash Flood Mitigation Toward Sustainable Urban Expansion in Najran Valley, Saudi Arabia

AA El-Aal, AE Radwan, M Abdelshafy… - Earth Systems and …, 2024 - Springer
Flash floods are significant threats, particularly in semi-arid regions where prolonged rainfall
and/or over-discharge can lead to catastrophic downstream flooding. While Saudi Arabia's …

Detection of flood vulnerable areas in urban basins using multi-criteria analysis and geospatial tools: a case study from eastern Mediterranean

HG Abdo, KS Darwish, AA Bindajam, A Niknam… - Environmental Earth …, 2024 - Springer
Abstract The Eastern Mediterranean region is affected by devastating annual flood events
that cause massive socio-economic losses, especially in Syria. The displacement of …

[PDF][PDF] Appraisal of data-driven techniques for predicting short-term streamflow in tropical catchment

KL Yeoh, HT Puay, R Abdullah… - Water Science & …, 2023 - iwaponline.com
Short-term streamflow prediction is essential for managing flood early warning and water
resources systems. Although numerical models are widely used for this purpose, they …

[HTML][HTML] Spatiotemporal estimation of groundwater and surface water conditions by integrating deep learning and physics-based watershed models

S Kim, E Lee, HT Hwang, JC Pyo, D Yun, SS Baek… - Water Research X, 2024 - Elsevier
The impacts of climate change on hydrology underscore the urgency of understanding
watershed hydrological patterns for sustainable water resource management. The …

Rainfall Prediction Using an Ensemble Machine Learning Model Based on K-Stars

G Tuysuzoglu, KU Birant, D Birant - Sustainability, 2023 - mdpi.com
Predicting the rainfall status of a region has a great impact on certain factors, such as
arranging agricultural activities, enabling efficient water planning, and taking precautionary …