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Article
Open AccessSpatiotemporal snowline status and climate variability impact assessment: a case study of Pindari River Basin, Kumaun Himalaya, India
The snowline exhibits significant seasonal shifts upward and downward, reflecting the ever-changing dynamics of the seasons and being influenced by climate variations, which can vary annually. These fluctuatio...
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Article
Open AccessFlood map** based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning
Among the various natural disasters that take place around the world, flood is considered to be the most extensive. There have been several floods in Buzău river basin, and as a result of this, the area has be...
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Article
Hydrogeochemical properties of groundwater and associated human health hazards in coastal multiaquifers of India
Due to the scarcity of water supplies, coastal groundwater quality most importantly influences sustainable development in the coastal region. Rising groundwater pollution through heavy metal contamination is a...
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Article
Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models
Globally, coastal erosion significantly impacts the socio-economic conditions and infrastructure development of coastal regions, with Vietnam facing considerable challenges due to its extensive coastline. This...
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An Overview of Machine Learning Applications in Disaster Waste Management
This study provides an overview of the problem of natural disaster waste (NDW) and their management (NDWM), some of the most disastrous events in the twenty-first century, their causes, natural disasters vis-à...
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Article
Open AccessPrediction of white spot disease susceptibility in shrimps using decision trees based machine learning models
Recently, the spread of white spot disease in shrimps has a major impact on the aquaculture activity worldwide affecting the economy of the countries, especially South-East Asian countries like Vietnam. This d...
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Article
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Landslides are among the most destructive natural hazards causing loss of life, destruction of infrastrucures and damage to properties, especially in hilly and mountaneous areas all over the world. To properly...
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Article
Receptor model-based source-specific health risks of toxic metal(loid)s in coal basin-induced agricultural soil in northwest Bangladesh
Toxic metal(loid)s (TMLs) in agricultural soils cause detrimental effects on ecosystem and human health. Therefore, source-specific health risk apportionment is very crucial for the prevention and control of T...
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Article
Wetland health, water quality, and resident perceptions of declining ecosystem services: a case study of Mount Abu, Rajasthan, India
Ecosystem services provided by wetlands are essential for communities living near wetlands, especially in an underdeveloped semi-arid landscape. The land use land cover changes and ecosystem degradation and wa...
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Article
Development of geo-environmental factors controlled flash flood hazard map for emergency relief operation in complex hydro-geomorphic environment of tropical river, India
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 period of time and makes i...
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Article
Combination of data-driven models and best subset regression for predicting the standardized precipitation index (SPI) at the Upper Godavari Basin in India
Standardized precipitation index prediction and monitoring are essential to mitigating the effect of drought actions on precision farming, environments, climate-smart agriculture, and the water cycle. In this ...
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Article
Flood vulnerability of a few areas in the foothills of the Western Ghats: a comparison of AHP and F-AHP models
Flooding is one of the most destructive natural catastrophes that can strike anywhere in the world. With the recent, but frequent catastrophic flood events that occurred in the narrow stretch of land in southe...
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Article
Modelling of groundwater potential zone in hard rock-dominated drought-prone region of eastern India using integrated geospatial approach
Worldwide, the ever-increasing population and urbanization have put tremendous pressure on groundwater (GW). It has provoked the over-exploitation of groundwater and hindered the percolation of rainwater benea...
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Article
Open AccessSpatial implementation of frequency ratio, statistical index and index of entropy models for landslide susceptibility map** in Al-Balouta river basin, Tartous Governorate, Syria
Landslide vulnerability prediction maps are among the most important tools for managing natural hazards associated with slope stability in river basins that affect ecosystems, properties, infrastructure and so...
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Article
A generalized artificial intelligence model for estimating the friction angle of clays in evaluating slope stability using a deep neural network and Harris Hawks optimization algorithm
In landslide susceptibility map** or evaluating slope stability, the shear strength parameters of rocks and soils and their effectiveness are undeniable. However, they have not been studied for all-natural m...
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Article
Enhancing the Accuracy of the REPTree by Integrating the Hybrid Ensemble Meta-Classifiers for Modelling the Landslide Susceptibility of Idukki District, South-western India
Idukki district, situated in the Western Ghats of Peninsular India, is one of the high landslide susceptible zones with frequent landslide occurrences during monsoon. Though plentiful studies have been carrie...
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Article
Novel approach for soil classification using machine learning methods
In this study, we have proposed a new classification method for determining different soil classes based on three machine learning approaches, namely: support vector classification (SVC), multilayer perceptron...
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Article
New Machine Learning Ensemble for Flood Susceptibility Estimation
Floods are among the most severe natural hazard phenomena that affect people around the world. Due to this fact, the identification of zones highly susceptible to floods became a very important activity in the...
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Article
A framework employing the AHP and FR methods to assess the landslide susceptibility of the Western Ghats region in Kollam district
Landslides are the most frequently occurring geohazard in the Western Ghats due to the steep terrain and heavy rainfall the area receives. This research aims to develop a framework to demarcate the zones susce...
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Article
Application of the novel state-of-the-art soft computing techniques for groundwater potential assessment
Groundwater is one of the important ecological elements which are now considered as vulnerable resources. The absence and shortage of this precious resource can be grown into an ecologically fragile condition....
