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[HTML][HTML] State of the art and recent advancements in the modelling of land subsidence induced by groundwater withdrawal
Land subsidence is probably one of the most evident environmental effects of groundwater
pum**. Globally, freshwater demand is the leading cause of this phenomenon. Land …
pum**. Globally, freshwater demand is the leading cause of this phenomenon. Land …
A review on assessing and map** soil erosion hazard using geo-informatics technology for farming system management
Soil erosion is a severe threat to food production systems globally. Food production in
farming systems decreases with increasing soil erosion hazards. This review article focuses …
farming systems decreases with increasing soil erosion hazards. This review article focuses …
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility map** 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 map** is an …
environment of highlands or mountain slopes. Landslide susceptibility map** is an …
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
W Chen, X ** by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India
Flooding is the overflow of water from stream, river, lake and sea that occurs all over the
world and has disastrous effects on human society and environment. Frequent severe flood …
world and has disastrous effects on human society and environment. Frequent severe flood …
Landslide susceptibility assessment in Lianhua County (China): a comparison between a random forest data mining technique and bivariate and multivariate …
Landslides are an important natural hazard that causes a great amount of damage around
the world every year, especially during the rainy season. The Lianhua area is located in the …
the world every year, especially during the rainy season. The Lianhua area is located in the …
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Preparation of landslide susceptibility map is the first step for landslide hazard mitigation
and risk assessment. The main aim of this study is to explore potential applications of two …
and risk assessment. The main aim of this study is to explore potential applications of two …
Application of GIS based data driven evidential belief function model to predict groundwater potential zonation
The objective of this paper is to exploit potential application of an evidential belief function
(EBF) model for spatial prediction of groundwater productivity at Langat basin area …
(EBF) model for spatial prediction of groundwater productivity at Langat basin area …
Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method
Flood is one of the most commonly occurred natural hazards worldwide. Severe flood
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …
occurrences in Kelantan, Malaysia cause damage to both life and property every year. Due …