[HTML][HTML] Flood vulnerability mapping using frequency ratio (FR) model: a case study on Kulik river basin, Indo-Bangladesh Barind region
D Sarkar, P Mondal - Applied Water Science, 2020 - Springer
Flood is a natural but inevitable phenomenon occurring over the period of time. It not only
damages the life, property and resources, but also hampers the economy of a nation. In this …
damages the life, property and resources, but also hampers the economy of a nation. In this …
GIS-based spatial prediction of flood prone areas using standalone frequency ratio, logistic regression, weight of evidence and their ensemble techniques
M Shafapour Tehrany, F Shabani… - … , Natural Hazards and …, 2017 - Taylor & Francis
The aim of this research was to evaluate the predictive performances of frequency ratio (FR),
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …
logistic regression (LR) and weight of evidence (WoE), in flood susceptibility mapping in …
Groundwater potential mapping using remote sensing and GIS-based machine learning techniques
Adequate groundwater development for the rural population is essential because
groundwater is an important source of drinking water and agricultural water. In this study …
groundwater is an important source of drinking water and agricultural water. In this study …
Landslide susceptibility evaluation using hybrid integration of evidential belief function and machine learning techniques
Y Li, W Chen - Water, 2019 - mdpi.com
In this study, Random SubSpace-based classification and regression tree (RSCART) was
introduced for landslide susceptibility modeling, and CART model and logistic regression …
introduced for landslide susceptibility modeling, and CART model and logistic regression …
Assessment of landslide susceptibility zonation using frequency ratio and statistical index: a case study of Al-Fawar basin, Tartous, Syria
HG Abdo - International Journal of Environmental Science and …, 2022 - Springer
Landslide is one of the most morpho-dynamic patterns of slopes in the coastal region of
Syria. The assessment of landslide susceptibility is a complex procedure because of limited …
Syria. The assessment of landslide susceptibility is a complex procedure because of limited …
Fuzzy gamma operator model for preparing landslide susceptibility zonation mapping in parts of Kohima Town, Nagaland, India
Growing population and expansion of settlements over hilly areas have largely increased
the impact of landslide. This paper deals with the use of Geoinformatics technology and …
the impact of landslide. This paper deals with the use of Geoinformatics technology and …
Slope failure characteristics and slope movement susceptibility assessment using GIS in a medium scale: a case study from Ouled Driss and Machroha municipalities …
GIS-based slope movement susceptibility (SMS) map is developed for both the Ouled Driss
and Machroha districts of northeastern Algeria, using the logistic regression technique …
and Machroha districts of northeastern Algeria, using the logistic regression technique …
Comparative performance of new hybrid ANFIS models in landslide susceptibility mapping
Many landslides occur in the Karun watershed in the Zagros Mountains. In the present study,
we employed a novel comparative approach for spatial modeling of landslides given the …
we employed a novel comparative approach for spatial modeling of landslides given the …
Debris flow susceptibility zonation using statistical models in parts of Northwest Indian Himalayas—implementation, validation, and comparative evaluation
RK Dash, PO Falae, DP Kanungo - Natural Hazards, 2022 - Springer
Debris flows are natural disasters with devastating consequences and frequent recurrence
in changing climatic regime of the Indian Himalayas. Therefore, it is necessary to delineate …
in changing climatic regime of the Indian Himalayas. Therefore, it is necessary to delineate …
Evaluation of landslide susceptibility mapping by evidential belief function, logistic regression and support vector machine models
The main purpose of this study was to produce landslide susceptibility maps using evidential
belief function (EBF), logistic regression (LR) and support vector machine (SVM) models and …
belief function (EBF), logistic regression (LR) and support vector machine (SVM) models and …