Flood susceptibility mapping using machine learning boosting algorithms techniques in Idukki district of Kerala India

S Saravanan, D Abijith, NM Reddy, KSS Parthasarathy… - Urban Climate, 2023 - Elsevier
Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

Flood susceptibility mapping using AutoML and a deep learning framework with evolutionary algorithms for hyperparameter optimization

AM Vincent, KSS Parthasarathy, P Jidesh - Applied Soft Computing, 2023 - Elsevier
Flooding is one of the most common natural hazards that have extremely detrimental
consequences. Understanding which areas are vulnerable to flooding is crucial to …

Comparative assessment of groundwater vulnerability using GIS-based DRASTIC and DRASTIC-AHP for Thoothukudi District, Tamil Nadu India

S Saravanan, S Pitchaikani, M Thambiraja… - Environmental …, 2023 - Springer
The groundwater is very precious in the world. Rapid urbanization and industrialization
create tremendous stress on groundwater quality and quantity. Unscientific groundwater …

Evaluation of bivariate statistical and hybrid models for the preparation of flood hazard susceptibility maps in the Brahmani River Basin, India

AK Anand, SP Pradhan - Environmental Earth Sciences, 2023 - Springer
Floods are one of the natural disasters that occur most frequently in the Brahmani River of
Eastern India. Frequent floods in the area, results from anthropogenic activities, climate …

Spatial mapping of flood susceptibility using decision tree–based machine learning models for the Vembanad Lake System in Kerala, India

P Kulithalai Shiyam Sundar… - Journal of Water …, 2023 - ascelibrary.org
Floods have claimed the lives of countless people and caused significant property damage
in many countries, putting their livelihoods in the jeopardy. The Vembanad lake system …

Predicting phosphorus and nitrate loads by using SWAT model in Vamanapuram River Basin, Kerala, India

S Saravanan, L Singh, S Sathiyamurthi… - Environmental …, 2023 - Springer
Evaluations of probable environmental impacts of point and diffuse source pollution at
regional sizes are essential to achieve sustainable development of natural resources such …

Multi-hazards (landslides, floods, and gully erosion) modeling and mapping using machine learning algorithms

AM Youssef, AM Mahdi, MM Al-Katheri… - Journal of African Earth …, 2023 - Elsevier
The current study aimed at producing a multi-hazard susceptibility map for the Hasher-Fayfa
Basin. The basin is part of the Jazan region in southwestern Saudi Arabia and is …

Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam

HD Nguyen, DK Dang, QT Bui, AI Petrisor - Transactions in GIS, 2023 - Wiley Online Library
Natural hazards constitute a diverse category and are unevenly distributed in time and
space. This hinders predictive efforts, leading to significant impacts on human life and …

Artificial intelligence algorithms in flood prediction: a general overview

M Pandey - Geo-information for Disaster Monitoring and …, 2024 - Springer
This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

Development of flood susceptibility map using a GIS-based AHP approach: a novel case study on Idukki district, India

ZA Khan, B Jhamnani - Journal of Spatial Science, 2024 - Taylor & Francis
Flooding is a regular danger in the Idukki district of Kerala causing serious damage to life
and property. An attempt has been undertaken in this research to identify crucial zones in …