The little ice age in Iberian mountains

M Oliva, J Ruiz-Fernández, M Barriendos, G Benito… - Earth-Science …, 2018 - Elsevier
Abstract The Little Ice Age (LIA) is known as one of the coldest stages of the Holocene. Most
records from the Northern Hemisphere show evidence of significantly colder conditions …

Interpreting historical, botanical, and geological evidence to aid preparations for future floods

B Wilhelm, JA Ballesteros Cánovas… - Wiley …, 2019 - Wiley Online Library
River flooding is among the most destructive of natural hazards globally, causing
widespread loss of life, damage to infrastructure and economic deprivation. Societies are …

[HTML][HTML] Flood susceptibility modelling using advanced ensemble machine learning models

ARMT Islam, S Talukdar, S Mahato, S Kundu… - Geoscience …, 2021 - Elsevier
Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

Prediction success of machine learning methods for flash flood susceptibility mapping in the Tafresh watershed, Iran

S Janizadeh, M Avand, A Jaafari, TV Phong, M Bayat… - Sustainability, 2019 - mdpi.com
Floods are some of the most destructive and catastrophic disasters worldwide. Development
of management plans needs a deep understanding of the likelihood and magnitude of future …

Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution

H Hong, M Panahi, A Shirzadi, T Ma, J Liu… - Science of the total …, 2018 - Elsevier
Floods are among Earth's most common natural hazards, and they cause major economic
losses and seriously affect peoples' lives and health. This paper addresses the development …

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction

E Dodangeh, B Choubin, AN Eigdir, N Nabipour… - Science of the Total …, 2020 - Elsevier
Flood susceptibility projections relying on standalone models, with one-time train-test data
splitting for model calibration, yields biased results. This study proposed novel integrative …

[HTML][HTML] Flood susceptibility zonation using advanced ensemble machine learning models within Himalayan foreland basin

S Ghosh, S Saha, B Bera - Natural Hazards Research, 2022 - Elsevier
Floods are considered as one of nature's most destructive fluvio-hydrological extremes
because of the massive damage to agricultural land, roads and buildings and human …

GIS based hybrid computational approaches for flash flood susceptibility assessment

BT Pham, M Avand, S Janizadeh, TV Phong… - Water, 2020 - mdpi.com
Flash floods are one of the most devastating natural hazards; they occur within a catchment
(region) where the response time of the drainage basin is short. Identification of probable …

Geospatial mapping of flood susceptibility and hydro-geomorphic response to the floods in Ulhas basin, India

S Das - Remote Sensing Applications: Society and …, 2019 - Elsevier
Flood is a common natural disaster that causes immense damage to the natural
environment, construction and casualties every year around the world. The effectiveness of …

Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin, India

S Das, A Gupta - Geoscience Frontiers, 2021 - Elsevier
Abstract The Subarnarekha River in east India experiences frequent high magnitude
flooding in monsoon season. In this study, we present an in-depth analysis of flood …