A novel swarm intelligence: cuckoo optimization algorithm (COA) and SailFish optimizer (SFO) in landslide susceptibility assessment

RMA Ikram, AA Dehrashid, B Zhang, Z Chen… - … Research and Risk …, 2023 - Springer
Inherent hazards such as landslides pose a threat to human life and may inflict significant
harm on the surrounding ecosystem. For planning, controlling, and avoiding landslide …

GIS-based hybrid machine learning for flood susceptibility prediction in the Nhat Le–Kien Giang watershed, Vietnam

HD Nguyen - Earth Science Informatics, 2022 - Springer
Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …

The quantitative assessment of impact of pumping capacity and LID on urban flood susceptibility based on machine learning

Y Wu, D She, J Xia, J Song, T Xiao, Y Zhou - Journal of Hydrology, 2023 - Elsevier
Drainage facilities such as drainage pumping systems and Low Impact Development (LID)
practices are effective measures to reduce urban flood risk. The quantitative identification of …

Deep learning to assess the effects of land use/land cover and climate change on landslide susceptibility in the Tra Khuc river basin of Vietnam

QV Viet Du, HD Nguyen, VT Pham… - Geocarto …, 2023 - Taylor & Francis
Understanding the negative effects of climate change and changes to land use/land cover
on natural hazards is an important feature of sustainable development worldwide, as these …

Mitigating urban flood Hazards: Hybrid strategy of structural measures

HT Moon, JS Kim, J Chen, SK Yoon, YI Moon - International Journal of …, 2024 - Elsevier
Effective reduction of urban flood risk can be accomplished through structural mitigation
measures such as underground drainage tunnels and implementing drainage practices …

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

HD Nguyen, DK Dang, QT Bui, AI Petrisor - Transactions in GIS, 2023 - Wiley Online Library
Natural hazards constitute a diverse category and are unevenly distributed in time and
space. This hinders predictive efforts, leading to significant impacts on human life and …

A framework for flood depth using hydrodynamic modeling and machine learning in the coastal province of Vietnam

HD Nguyen, DK Dang, YN Nguyen, CP Van… - Vietnam Journal of Earth …, 2023 - vjs.ac.vn
Flood models based on traditional hydrodynamic modeling encounter significant difficulties
with real-time predictions, require enormous computational resources, and perform poorly in …

Resilient urban expansion: Identifying critical conflict patches by integrating flood risk and land use predictions: A case study of Min Delta Urban Agglomerations in …

Q Wang, G Zhao, R Zhao - International Journal of Disaster Risk Reduction, 2024 - Elsevier
The increasing occurrence of floods due to global climate change is a challenge to the
growth of urban resilience. However, few studies have investigated strategies to avoid flood …

Evaluating the effects of land-use strategies on future flood risk reduction in urban areas

CA Ku - Cities, 2024 - Elsevier
Extreme flooding events have brought severe damages to cities around the world. In order to
reduce the possible effects of flooding in urban areas, spatial planning is increasingly …

[PDF][PDF] Predicting land use effects on flood susceptibility using machine learning and remote sensing in coastal Vietnam

VT Vu, HD Nguyen, PL Vu, MC Ha, VD Bui… - Water Practice & …, 2023 - iwaponline.com
Flood damage is becoming increasingly severe in the context of climate change and
changes in land use. Assessing the effects of these changes on floods is important, to help …