Suitability estimation for urban development using multi-hazard assessment map

GD Bathrellos, HD Skilodimou, K Chousianitis… - Science of the total …, 2017 - Elsevier
Preparation of natural hazards maps are vital and essential for urban development. The
main scope of this study is to synthesize natural hazard maps in a single multi-hazard map …

Multi-hazard assessment modeling via multi-criteria analysis and GIS: a case study

HD Skilodimou, GD Bathrellos, K Chousianitis… - Environmental Earth …, 2019 - Springer
Multi-hazard assessment modeling comprises an essential tool in any plan that aims to
mitigate the impact of future natural disasters. For a particular area they can be generated by …

[HTML][HTML] Multi-hazard susceptibility mapping based on Convolutional Neural Networks

K Ullah, Y Wang, Z Fang, L Wang, M Rahman - Geoscience Frontiers, 2022 - Elsevier
Multi-hazard susceptibility prediction is an important component of disasters risk
management plan. An effective multi-hazard risk mitigation strategy includes assessing …

Evaluation of multi-hazard map produced using MaxEnt machine learning technique

N Javidan, A Kavian, HR Pourghasemi, C Conoscenti… - Scientific reports, 2021 - nature.com
Natural hazards are diverse and uneven in time and space, therefore, understanding its
complexity is key to save human lives and conserve natural ecosystems. Reducing the …

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in …

W Chen, A Shirzadi, H Shahabi, BB Ahmad… - … , Natural Hazards and …, 2017 - Taylor & Francis
The main objective of this study was to produce landslide susceptibility maps for Langao
County, China, using a novel hybrid artificial intelligence method based on rotation forest …

A geospatial analysis of multi-hazard risk in Dharan, Nepal

SK Aksha, LM Resler, L Juran… - … , Natural Hazards and …, 2020 - Taylor & Francis
Natural hazard risk assessment generally focuses on a single hazard type, such as
earthquakes, landslides, or floods. This emphasis tends to consider physical processes in …

Physical and anthropogenic factors related to landslide activity in the Northern Peloponnese, Greece

HD Skilodimou, GD Bathrellos, E Koskeridou, K Soukis… - Land, 2018 - mdpi.com
The geological, geomorphic conditions of a mountainous environment along with
precipitation and human activities influence landslide occurrences. In many cases, their …

Comparative study of convolutional neural network (CNN) and support vector machine (SVM) for flood susceptibility mapping: a case study at Ras Gharib, Red Sea …

AM Youssef, B Pradhan, A Dikshit… - Geocarto …, 2022 - Taylor & Francis
Geohazard risk is high in Arab countries due to ineffective disaster preparedness measures,
mismanagement, lack of public awareness, inadequate funding and lack of stakeholder …

Permanent displacement reliability analysis of soil slopes subjected to mainshock-aftershock sequences

G Wang, R Pang, X Yu, B Xu - Computers and Geotechnics, 2023 - Elsevier
It is of great significance for disaster prevention to study the influence of mainshock-
aftershock sequences on reliability of the soil slope. Considering the uncertainty of the …

Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis

M Karpouza, K Chousianitis, GD Bathrellos… - Natural Hazards, 2021 - Springer
The present study aims to suggest an approach that allows the simultaneous hazard
zonation mapping of earthquake-induced secondary effects. The modeling process of the …