The state of the art in deep learning applications, challenges, and future prospects: A comprehensive review of flood forecasting and management

V Kumar, HM Azamathulla, KV Sharma, DJ Mehta… - Sustainability, 2023 - mdpi.com
Floods are a devastating natural calamity that may seriously harm both infrastructure and
people. Accurate flood forecasts and control are essential to lessen these effects and …

High temporal resolution urban flood prediction using attention-based LSTM models

L Zhang, H Qin, J Mao, X Cao, G Fu - Journal of Hydrology, 2023 - Elsevier
Rapid and accurate urban flood forecasting with high temporal resolution is critical to
address future flood risks under urbanization and climate change. Machine learning models …

[HTML][HTML] A novel framework for addressing uncertainties in machine learning-based geospatial approaches for flood prediction

MSG Adnan, ZS Siam, I Kabir, Z Kabir… - Journal of …, 2023 - Elsevier
Globally, many studies on machine learning (ML)-based flood susceptibility modeling have
been carried out in recent years. While majority of those models produce reasonably …

Open-source data alternatives and models for flood risk management in Nepal

S Thakuri, BP Parajuli, P Shakya, P Baskota… - Remote Sensing, 2022 - mdpi.com
Availability and applications of open-source data for disaster risk reductions are increasing.
Flood hazards are a constant threat to local communities and infrastructures (eg, built-up …

[HTML][HTML] LULC changes to riverine flooding: A case study on the Jamuna River, Bangladesh using the multilayer perceptron model

MM Hasan, MSM Nilay, NH Jibon, RM Rahman - Results in Engineering, 2023 - Elsevier
In riverine nations like Bangladesh, floods are frequent, bringing disaster that impairs
people's lives and the national economy. Due to climate change, uncontrolled growth, rapid …

[HTML][HTML] Flood risk mapping of the flood-prone Rangpur division of Bangladesh using remote sensing and multi-criteria analysis

SMS Rana, SMA Habib, MNH Sharifee… - Natural Hazards …, 2024 - Elsevier
Identification of potential flood risk areas is crucial to reduce flood damage for the frequently
flooded and low-lying South Asian developing countries. The present study has prepared …

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 …

Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India

ZA Khan, B Jhamnani - Journal of Spatial Science, 2024 - Taylor & Francis
Flooding is a regular danger in the Idukki district of Kerala causing serious damage to life
and property. An attempt has been undertaken in this research to identify crucial zones in …

Flood vulnerability assessment in the Jamuna river floodplain using multi-criteria decision analysis: A case study in Jamalpur district, Bangladesh

KTK Nahin, SB Islam, S Mahmud, I Hossain - Heliyon, 2023 - cell.com
Flood is one of the most common hazards in many countries, affecting both life and
properties. The recent climatic changes have brought a rise in both flood frequency and …

GIS and AHP-based flood susceptibility mapping: a case study of Bangladesh

Z Kader, MR Islam, MT Aziz, MM Hossain… - Sustainable Water …, 2024 - Springer
Bangladesh, situated within the vast Bengal Delta, faces a significant challenge due to its
low-lying and flat topography: frequent and devastating floods. Acknowledging the influence …