[HTML][HTML] 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 …

Multi-hazard probability assessment and mapping in Iran

HR Pourghasemi, A Gayen, M Panahi, F Rezaie… - Science of the total …, 2019 - Elsevier
Several areas of Iran are prone to numerous natural hazards. An effective multi-hazard risk
reduction requires analysis of the individual hazards and their interplay. This research …

[HTML][HTML] Multi-hazard exposure mapping using machine learning techniques: A case study from Iran

O Rahmati, S Yousefi, Z Kalantari, E Uuemaa… - Remote Sensing, 2019 - mdpi.com
Mountainous areas are highly prone to a variety of nature-triggered disasters, which often
cause disabling harm, death, destruction, and damage. In this work, an attempt was made to …

[HTML][HTML] A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

S Pouyan, HR Pourghasemi, M Bordbar… - Scientific Reports, 2021 - nature.com
We used three state-of-the-art machine learning techniques (boosted regression tree,
random forest, and support vector machine) to produce a multi-hazard (MHR) map …

[HTML][HTML] Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?

HR Pourghasemi, A Gayen, M Edalat, M Zarafshar… - Geoscience …, 2020 - Elsevier
Natural hazards are often studied in isolation. However, there is a great need to examine
hazards holistically to better manage the complex of threats found in any region. Many …

[HTML][HTML] A machine learning framework for multi-hazards modeling and mapping in a mountainous area

S Yousefi, HR Pourghasemi, SN Emami, S Pouyan… - Scientific Reports, 2020 - nature.com
This study sought to produce an accurate multi-hazard risk map for a mountainous region of
Iran. The study area is in southwestern Iran. The region has experienced numerous extreme …

[HTML][HTML] Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

HR Pourghasemi, N Kariminejad, M Amiri, M Edalat… - Scientific reports, 2020 - nature.com
The aim of the current study was to suggest a multi-hazard probability assessment in Fars
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …

[HTML][HTML] Multi-hazard exposure mapping using machine learning for the State of Salzburg, Austria

TG Nachappa, O Ghorbanzadeh, K Gholamnia… - Remote Sensing, 2020 - mdpi.com
We live in a sphere that has unpredictable and multifaceted landscapes that make the risk
arising from several incidences that are omnipresent. Floods and landslides are widespread …

[HTML][HTML] Multi-hazard spatial modeling via ensembles of machine learning and meta-heuristic techniques

M Bordbar, H Aghamohammadi, HR Pourghasemi… - Scientific Reports, 2022 - nature.com
Considering the large number of natural disasters on the planet, many areas in the world are
at risk of these hazards; therefore, providing an integrated map as a guide map for multiple …

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 …