Assessing the effectiveness of nature-based solutions-strengthened urban planning mechanisms in forming flood-resilient cities

M Mabrouk, H Han, C Fan, KI Abdrabo, G Shen… - Journal of …, 2023 - Elsevier
Cities have experienced rapid urbanization-induced harsh climatic events, especially
flooding, inevitably resulting in negative and irreversible consequences for urban resilience …

Improving structural MRI preprocessing with hybrid transformer GANs

O Grigas, R Maskeliūnas, R Damaševičius - Life, 2023 - mdpi.com
Magnetic resonance imaging (MRI) is a technique that is widely used in practice to evaluate
any pathologies in the human body. One of the areas of interest is the human brain …

Improvement of flood susceptibility mapping by introducing hybrid ensemble learning algorithms and high-resolution satellite imageries

ARMT Islam, MMR Bappi, S Alqadhi, AA Bindajam… - Natural Hazards, 2023 - Springer
Flood, a dangerous hydro-geomorphic hazard, is one of the most critically applied science
research issue. The restoration and recovery are costly and can interrupt communities' …

[HTML][HTML] Integrated hydrological modeling for watershed analysis, flood prediction, and mitigation using meteorological and morphometric data, SCS-CN, HEC-HMS …

H El-Bagoury, A Gad - Water, 2024 - mdpi.com
Flooding is a natural disaster with extensive impacts. Desert regions face altered flooding
patterns owing to climate change, water scarcity, regulations, and rising water demands …

Sustainable groundwater management in coastal cities: Insights from groundwater potential and vulnerability using ensemble learning and knowledge-driven models

P Huang, M Hou, T Sun, H Xu, C Ma, A Zhou - Journal of Cleaner …, 2024 - Elsevier
The rapid economic growth of the Pearl River Delta, one of China's most economically
developed areas, has led to a sharp increase in the demand for water resources …

Risk assessment of flood disasters in the Poyang lake area

X Wang, W Chen, J Yin, L Wang, H Guo - International Journal of Disaster …, 2024 - Elsevier
Floods are one type of common and catastrophic disaster and cause extensive destruction
areas, enormous casualties, and huge economic and environmental losses worldwide …

Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility mapping in transboundary river basin

Y Bhattarai, S Duwal, S Sharma… - International Journal of …, 2024 - Taylor & Francis
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …

Revisiting Urban Resilience: A Systematic Review of Multiple-Scale Urban Form Indicators in Flood Resilience Assessment

M Mabrouk, H Han, MGN Mahran, KI Abdrabo… - Sustainability, 2024 - mdpi.com
Despite the increasing number of flood studies, the interrelationships between urban form
indices (UFIs) and flood resilience (FR) have received little attention and hold miscellaneous …

[HTML][HTML] Advancing Hydrology through Machine Learning: Insights, Challenges, and Future Directions Using the CAMELS, Caravan, GRDC, CHIRPS, PERSIANN …

F Hasan, P Medley, J Drake, G Chen - Water, 2024 - mdpi.com
Machine learning (ML) applications in hydrology are revolutionizing our understanding and
prediction of hydrological processes, driven by advancements in artificial intelligence and …

A novel estimation of the composite hazard of landslides and flash floods utilizing an artificial intelligence approach

M Wahba, M El-Rawy, N Al-Arifi, MM Mansour - Water, 2023 - mdpi.com
Landslides and flash floods are significant natural hazards with substantial risks to human
settlements and the environment, and understanding their interconnection is vital. This …