Advances in machine learning for natural hazards risk assessment
Advances in machine learning for natural hazards risk assessment
Editor(s): Vitor Silva, Caroline M. Gevaert, David Lallemant, Sabine Loos, and Philip Ward More information

Download citations of all papers

04 Oct 2022
Machine learning nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
EGUsphere, https://doi.org/10.5194/egusphere-2022-950,https://doi.org/10.5194/egusphere-2022-950, 2022
Preprint under review for NHESS (discussion: open, 0 comments)
Short summary
01 Sep 2022
Development of a Seismic Loss Prediction Model for Residential Buildings using Machine Learning – Christchurch, New Zealand
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-227,https://doi.org/10.5194/nhess-2022-227, 2022
Preprint under review for NHESS (discussion: open, 2 comments)
Short summary
16 Aug 2022
Application of bagging, boosting and stacking ensemble and EasyEnsemble methods to landslide susceptibility mapping in the Three Gorges Reservoir area of China
Xueling Wu and Junyang Wang
EGUsphere, https://doi.org/10.5194/egusphere-2022-697,https://doi.org/10.5194/egusphere-2022-697, 2022
Revised manuscript under review for NHESS (discussion: final response, 6 comments)
Short summary
20 Jul 2022
Using machine learning algorithms to identify predictors of social vulnerability in the event of an earthquake: Istanbul case study
Oya Kalaycioglu, Serhat Emre Akhanli, Emin Yahya Mentese, Mehmet Kalaycioglu, and Sibel Kalaycioglu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-198,https://doi.org/10.5194/nhess-2022-198, 2022
Preprint under review for NHESS (discussion: final response, 3 comments)
Short summary
13 Jul 2022
Forecasting the cost of drought events in France by super learning
Geoffrey Ecoto and Antoine Chambaz
EGUsphere, https://doi.org/10.5194/egusphere-2022-541,https://doi.org/10.5194/egusphere-2022-541, 2022
Preprint under review for NHESS (discussion: final response, 10 comments)
Short summary
17 Jun 2022
Comparison of machine learning techniques for reservoir outflow forecasting
Orlando García-Feal, José González-Cao, Diego Fernández-Nóvoa, Gonzalo Astray Dopazo, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-171,https://doi.org/10.5194/nhess-2022-171, 2022
Preprint under review for NHESS (discussion: final response, 6 comments)
Short summary
20 May 2022
Landsifier v1.0: a Python library to estimate likely triggers of mapped landslides
Kamal Rana, Nishant Malik, and Ugur Ozturk
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-141,https://doi.org/10.5194/nhess-2022-141, 2022
Revised manuscript accepted for NHESS (discussion: closed, 4 comments)
Short summary
01 Apr 2022
A Scenario-based Case Study: AI to analyse casualties from landslides in Chittagong Metropolitan Area, Bangladesh
Fahim Sufi, Edris Alam, and Abu Islam
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-90,https://doi.org/10.5194/nhess-2022-90, 2022
Preprint under review for NHESS (discussion: final response, 12 comments)
Short summary
22 Feb 2022
What weather variables are important for wet and slab avalanches under a changing climate in low altitude mountain range in Czechia?
Markéta Součková, Roman Juras, Kryštof Dytrt, Vojtěch Moravec, Johanna Ruth Blöcher, and Martin Hanel
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-44,https://doi.org/10.5194/nhess-2022-44, 2022
Revised manuscript accepted for NHESS (discussion: closed, 5 comments)
Short summary
16 Sep 2022
Machine learning models to predict myocardial infarctions from past climatic and environmental conditions
Lennart Marien, Mahyar Valizadeh, Wolfgang zu Castell, Christine Nam, Diana Rechid, Alexandra Schneider, Christine Meisinger, Jakob Linseisen, Kathrin Wolf, and Laurens M. Bouwer
Nat. Hazards Earth Syst. Sci., 22, 3015–3039, https://doi.org/10.5194/nhess-22-3015-2022,https://doi.org/10.5194/nhess-22-3015-2022, 2022
Short summary
CC BY 4.0