Multi-hazard risk assessment and landslide susceptibility mapping: a case study from Bensekrane in Algeria
F Benzenine, MA Allal, C Abdelbaki, N Kumar… - Sustainability, 2023 - mdpi.com
Landslides and their disastrous consequences on the environment and human life have
emphasized the need for a better understanding of the dangers associated with slope …
emphasized the need for a better understanding of the dangers associated with slope …
Stormwater management modeling and machine learning for flash flood susceptibility prediction in Wadi Qows, Saudi Arabia
F Alamoudi, M Saber, SA Kantoush… - Hydrological Research …, 2023 - jstage.jst.go.jp
Predicting flash flood-prone areas is essential for proac‐tive disaster management.
However, such predictions are challenging to obtain accurately with physical hydrological …
However, such predictions are challenging to obtain accurately with physical hydrological …
Performance of Machine Learning Algorithms for Multi-hazard Susceptibility Assessment in the Mountainous Regions: An Overview
HN Bhaguna, S Bahuguna, HR Zaini - Available at SSRN 4909320, 2024 - papers.ssrn.com
The performance of machine learning algorithms for multi-hazard susceptibility assessment
in the mountainous regions is characterised by variability and regionality. High level …
in the mountainous regions is characterised by variability and regionality. High level …
[PDF][PDF] FLOODING AND LANDSLIDE POTENTIAL MAPPING OF PUBLIC HOUSING AFTER LANDUSED CHANGE
F Hermawan, E Sulistyaningrum… - Konferensi …, 2023 - konteks17.uniba-bpn.ac.id
ST-13 FLOODING AND LANDSLIDE POTENTIAL MAPPING OF PUBLIC HOUSING AFTER
LANDUSED CHANGE Page 1 KoNTekS Ke-17 Balikpapan, 16 – 17 November 2023 300 …
LANDUSED CHANGE Page 1 KoNTekS Ke-17 Balikpapan, 16 – 17 November 2023 300 …