[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Sahana et al., 2019 - Google Patents

A comparison of frequency ratio and fuzzy logic models for flood susceptibility assessment of the lower Kosi River Basin in India

Sahana et al., 2019

Document ID
837635669249734843
Author
Sahana M
Patel P
Publication year
Publication venue
Environmental Earth Sciences

External Links

Snippet

The Kosi megafan region of eastern Bihar, India, comprising of eight districts, is regularly afflicted by large floods that cause extensive damage. Mapping the possible inundation susceptible zones in the region accurately is, therefore, paramount for land resource …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/10Devices for predicting weather conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05Geographic models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
    • G01V99/00Subject matter not provided for in other groups of this subclass
    • G01V99/005Geomodels or geomodelling, not related to particular measurements

Similar Documents

Publication Publication Date Title
Sahana et al. A comparison of frequency ratio and fuzzy logic models for flood susceptibility assessment of the lower Kosi River Basin in India
Avand et al. DEM resolution effects on machine learning performance for flood probability mapping
Samanta et al. Flood susceptibility mapping using geospatial frequency ratio technique: a case study of Subarnarekha River Basin, India
Allafta et al. GIS-based multi-criteria analysis for flood prone areas mapping in the trans-boundary Shatt Al-Arab basin, Iraq-Iran
Gayen et al. Application of weights-of-evidence (WoE) and evidential belief function (EBF) models for the delineation of soil erosion vulnerable zones: a study on Pathro river basin, Jharkhand, India
Pal et al. Threats of climate change and land use patterns enhance the susceptibility of future floods in India
Nsangou et al. Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau
Youssef et al. Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models
Youssef et al. Landslide susceptibility maps using different probabilistic and bivariate statistical models and comparison of their performance at Wadi Itwad Basin, Asir Region, Saudi Arabia
Naghibi et al. Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran
Youssef Landslide susceptibility delineation in the Ar-Rayth area, Jizan, Kingdom of Saudi Arabia, using analytical hierarchy process, frequency ratio, and logistic regression models
Hong et al. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Pourghasemi et al. GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)
Sarkar et al. Landslide susceptibility assessment using information value method in parts of the Darjeeling Himalayas
Akgun et al. Landslide susceptibility mapping for Ayvalik (Western Turkey) and its vicinity by multicriteria decision analysis
Zare et al. Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Althuwaynee et al. Application of an evidential belief function model in landslide susceptibility mapping
Bahrawi et al. Potential flood risk due to urbanization expansion in arid environments, Saudi Arabia
Arabameri et al. Spatial modelling of gully erosion in the Ardib River Watershed using three statistical-based techniques
Pandey et al. Flood susceptibility modeling in a subtropical humid low-relief alluvial plain environment: application of novel ensemble machine learning approach
Saadatkhah et al. Susceptibility assessment of shallow landslides in Hulu Kelang area, Kuala Lumpur, Malaysia using analytical hierarchy process and frequency ratio
Mudashiru et al. A comparison of three multi-criteria decision-making models in mapping flood hazard areas of Northeast Penang, Malaysia
Kaur et al. Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India
Singh et al. Evaluating the influence of watershed characteristics on flood vulnerability of Markanda River basin in north-west India
Sujatha et al. Landslide susceptibility mapping of Tevankarai Ar sub-watershed, Kodaikkanal taluk, India, using weighted similar choice fuzzy model