Flood risk assessment using geospatial data and multi-criteria decision approach: a study from historically active flood-prone region of Himalayan foothill, India

S Roy, A Bose, IR Chowdhury - Arabian Journal of Geosciences, 2021 - Springer
In recent years, floods have acquired global importance due to their devastating nature that
can cause massive damage to infrastructure and society. The Himalayan foothill is very …

A novel hybrid approach to flood susceptibility assessment based on machine learning and land use change. Case study: a river watershed in Vietnam

HD Nguyen, B Quang-Thanh, QH Nguyen… - Hydrological …, 2022 - Taylor & Francis
This study aims to develop a comprehensive approach including an analysis of the
relationships between flood susceptibility and land-use change, based on the relevance …

Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin, Egypt

BA El-Haddad, AM Youssef, HR Pourghasemi… - Natural Hazards, 2021 - Springer
Floods represent catastrophic environmental hazards that have a significant impact on the
environment and human life and their activities. Environmental and water management in …

[HTML][HTML] Gis-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India

NI Saikh, P Mondal - Natural Hazards Research, 2023 - Elsevier
The unique characteristics of drainage conditions in the Pagla river basin cause flooding
and harm the socioeconomic environment. The main purpose of this study is to investigate …

[HTML][HTML] Field based index of flood vulnerability (IFV): A new validation technique for flood susceptible models

S Mahato, S Pal, S Talukdar, TK Saha, P Mandal - Geoscience Frontiers, 2021 - Elsevier
The flood hazard management is one of the major challenges in the floodplain regions
worldwide. With the rise in population growth and the spread of infrastructural development …

[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 …

Flood susceptible prediction through the use of geospatial variables and machine learning methods

NM Gharakhanlou, L Perez - Journal of hydrology, 2023 - Elsevier
Floods are one of the most perilous natural calamities that cause property destruction and
endanger human life. The spatial patterns of flood susceptibility were assessed in this study …

[PDF][PDF] Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

SV Shivaprasad Sharma, PS Roy… - … , Natural Hazards and …, 2018 - researchgate.net
ABSTRACT A multi-criteria analysis (MCA) approach to describe the effective utilization of
geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) …

Flood risk assessment using multi-criteria analysis: a case study from Kopili River Basin, Assam, India

SS SV, PS Roy, CV - Geomatics, Natural Hazards and Risk, 2018 - Taylor & Francis
ABSTRACT A multi-criteria analysis (MCA) approach to describe the effective utilization of
geospatial techniques for disaster risk reduction at village level in Kopili River Basin (KRB) …

Artificial neural network for flood susceptibility mapping in Bangladesh

RR Rudra, SK Sarkar - Heliyon, 2023 - cell.com
The objective of the research is to investigate flood susceptibility in the Sylhet division of
Bangladesh. Eight influential factors (ie, elevation, slope, aspect, curvature, TWI, SPI …