Arsenic speciation dynamics in paddy rice soil-water environment: sources, physico-chemical, and biological factors-a review
Rice is the main staple carbohydrate source for billions of people worldwide. Natural
geogenic and anthropogenic sources has led to high arsenic (As) concentrations in rice …
geogenic and anthropogenic sources has led to high arsenic (As) concentrations in rice …
Arsenic biogeochemical cycling in paddy soil-rice system: Interaction with various factors, amendments and mineral nutrients
Arsenic (As) contamination is a well-recognized environmental and health issue, threatening
over 200 million people worldwide with the prime cases in South and Southeast Asian and …
over 200 million people worldwide with the prime cases in South and Southeast Asian and …
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility mapping in Icheon, South Korea
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
environment of highlands or mountain slopes. Landslide susceptibility mapping is an …
Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road …
Landslide susceptibility maps are vital for disaster management and for planning
development activities in the mountainous country like Nepal. In the present study, landslide …
development activities in the mountainous country like Nepal. In the present study, landslide …
Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya
Abstract The Mugling–Narayanghat road section falls within the Lesser Himalaya and
Siwalik zones of Central Nepal Himalaya and is highly deformed by the presence of …
Siwalik zones of Central Nepal Himalaya and is highly deformed by the presence of …
Modelling landslide susceptibility prediction: a review and construction of semi-supervised imbalanced theory
Fully supervised machine learning models are widely applied for landslide susceptibility
prediction (LSP), mainly using landslide and non-landslide samples as output variables and …
prediction (LSP), mainly using landslide and non-landslide samples as output variables and …
Reactive transport in evolving porous media
N Seigneur, KU Mayer… - Reviews in Mineralogy …, 2019 - pubs.geoscienceworld.org
Reactive transport modeling is a process-based approach that accounts for advection,
diffusion, dispersion and a multitude of biogeochemical reactions. The occurrence of these …
diffusion, dispersion and a multitude of biogeochemical reactions. The occurrence of these …
Stability prediction of a natural and man-made slope using various machine learning algorithms
In this paper, an attempt has been made to implement various machine learning techniques
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
to predict the factor of safety of a natural residual soil slope and a man-made overburden …
Artificial neural network and sensitivity analysis in the landslide susceptibility mapping of Idukki district, India
J Jacinth Jennifer, S Saravanan - Geocarto International, 2022 - Taylor & Francis
Idukki district faced adverse mishappenings during the 2018 Kerala landslides due to
incessant torrential rainfall. This study emphasizes developing an efficient and accurate …
incessant torrential rainfall. This study emphasizes developing an efficient and accurate …
Spatial prediction of landslide susceptibility using GIS-based statistical and machine learning models in Wanzhou County, Three Gorges Reservoir, China
T Xiao, K Yin, T Yao, S Liu - Acta Geochimica, 2019 - Springer
Landslide susceptibility mapping is vital for landslide risk management and urban planning.
In this study, we used three statistical models [frequency ratio, certainty factor and index of …
In this study, we used three statistical models [frequency ratio, certainty factor and index of …