Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river …
The occurrences of flash floods in sub-tropical climatic regions like India are ubiquitous
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
phenomena, particularly during the monsoon season. This type of flood occurs within a short …
Effect of hydrogeochemical behavior on groundwater resources in Holocene aquifers of moribund Ganges Delta, India: Infusing data-driven algorithms
One of the fundamental sustainable development goals has been recognized as having
access to clean water for drinking purposes. In the Anthropocene era, rapid urbanization put …
access to clean water for drinking purposes. In the Anthropocene era, rapid urbanization put …
Flood susceptibility assessment of the Agartala Urban Watershed, India, using machine learning algorithm
Frequent floods are a severe threat to the well-being of people the world over. This is
particularly severe in develo** countries like India where tropical monsoon climate …
particularly severe in develo** countries like India where tropical monsoon climate …
Application of data-mining technique and hydro-chemical data for evaluating vulnerability of groundwater in Indo-Gangetic Plain
Vulnerability of groundwater is critical for the sustainable development of groundwater
resources, especially in freshwater-limited coastal Indo-Gangetic plains. Here, we intend to …
resources, especially in freshwater-limited coastal Indo-Gangetic plains. Here, we intend to …
Flood susceptibility modeling in the urban watershed of Guwahati using improved metaheuristic-based ensemble machine learning algorithms
The urban watershed of Guwahati is a highly flood-prone region and the fastest growing city
situated on the bank of the Brahmaputra River. Therefore, this study aims to the urban flood …
situated on the bank of the Brahmaputra River. Therefore, this study aims to the urban flood …
Soft Computing Paradigm for Climate Change Adaptation and Mitigation in Iran, Pakistan, and Turkey: A Systematic Review
This systematic review examines the application of artificial intelligence (AI), including
machine learning (ML) and deep learning (DL), for climate change adaptation and mitigation …
machine learning (ML) and deep learning (DL), for climate change adaptation and mitigation …
Investigating the role of the key conditioning factors in flood susceptibility map** through machine learning approaches
KM Al-Kindi, Z Alabri - Earth Systems and Environment, 2024 - Springer
This study harnessed the formidable predictive capabilities of three state-of-the-art machine
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
learning models—extreme gradient boosting (XGB), random forest (RF), and CatBoost (CB) …
Develo** a new method for future groundwater potentiality map** under climate change in Bisha watershed, Saudi Arabia
This study proposes a new groundwater potentiality model (GPM) in the Bisha watershed,
Saudi Arabia, by integrating logistic-regression (LR)-weighted and fuzzy logic-based …
Saudi Arabia, by integrating logistic-regression (LR)-weighted and fuzzy logic-based …
[HTML][HTML] Evaluation of potentially susceptible flooding areas leveraging geospatial technology with multicriteria decision analysis in Edo State, Nigeria
Floods have claimed lives and devastated societal and ecological systems. Because of their
catastrophic tendency and the financial and fatalities they cause, floods have become more …
catastrophic tendency and the financial and fatalities they cause, floods have become more …
[HTML][HTML] Integrated GIS and analytic hierarchy process for flood risk assessment in the Dades Wadi watershed (Central High Atlas, Morocco)
Flood risk assessment is crucial for delineating flood hazard zones and formulating effective
mitigation strategies. Employing a multi-criteria decision support system, this study focused …
mitigation strategies. Employing a multi-criteria decision support system, this study focused …