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Saha, Sunil, Sarkar, Debabrata, Mondal, Prolay (2022) Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India. Stochastic Environmental Research and Risk Assessment, 36 (6) 1721-1742 doi:10.1007/s00477-021-02115-9

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Reference TypeJournal (article/letter/editorial)
TitleEfficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India
JournalStochastic Environmental Research and Risk Assessment
AuthorsSaha, SunilAuthor
Sarkar, DebabrataAuthor
Mondal, ProlayAuthor
Year2022 (June)Volume36
Issue6
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-021-02115-9Search in ResearchGate
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Mindat Ref. ID15348766Long-form Identifiermindat:1:5:15348766:0
GUID0
Full ReferenceSaha, Sunil, Sarkar, Debabrata, Mondal, Prolay (2022) Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India. Stochastic Environmental Research and Risk Assessment, 36 (6) 1721-1742 doi:10.1007/s00477-021-02115-9
Plain TextSaha, Sunil, Sarkar, Debabrata, Mondal, Prolay (2022) Efficiency exploration of frequency ratio, entropy and weights of evidence-information value models in flood vulnerabilityassessment: a study of raiganj subdivision, Eastern India. Stochastic Environmental Research and Risk Assessment, 36 (6) 1721-1742 doi:10.1007/s00477-021-02115-9
In(2022, June) Stochastic Environmental Research and Risk Assessment Vol. 36 (6) Springer Science and Business Media LLC

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Saha, Sunil, Gayen, Amiya, Bayen, Bijoy (2022) Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India. Stochastic Environmental Research and Risk Assessment, 36 (10) 3295-3310 doi:10.1007/s00477-022-02195-1
Saha, Sunil, Gayen, Amiya, Bayen, Bijoy (2022) Correction to: Deep learning algorithms to develop Flood susceptibility map in Data-Scarce and Ungauged River Basin in India. Stochastic Environmental Research and Risk Assessment, 36 (11) 4013-4015 doi:10.1007/s00477-022-02232-z
Costache, Romulus (2019) Flash-flood Potential Index mapping using weights of evidence, decision Trees models and their novel hybrid integration. Stochastic Environmental Research and Risk Assessment, 33 (7). 1375-1402 doi:10.1007/s00477-019-01689-9
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Islam Saikh, Nur, Sarkar, Debabrata, Saha, Sunil, Mondal, Prolay (2024) Application of Machine Learning Algorithms for Soil Erosion Susceptibility Estimation in Gumani River Basin, Eastern India. Journal of the Geological Society of India, 100 (3) 320-334 doi:10.17491/jgsi/2024/173839
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