Artykuł  

Flood-susceptibility Analysis of Kolhapur City Using Frequency Ratio Model

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creativeworkseries.issn1898-1135
dc.contributor.authorPowar, Sudhir K.
dc.contributor.authorPanhalkar, Sachin S.
dc.date.issued2024
dc.description.abstractFlooding is an inevitable but natural process that happens over the period of time; it not only endangers people’s health, wealth, and assets, but it has also a negative impact on a country’s economy. Hence, effective flood management is required in order to minimize the influence of flooding on human lives and livelihoods. The aim of this research is to use a frequency ratio model (FRM) to identify flood-susceptibility areas in the city of Kolhapur. The research was conducted in two parts. Initially, field-survey data was used to create a flood-inventory map. There were 255 flood locations identified throughout the research region; of these, 178 locations (70%) were used for training data, and 77 (30%) were used for verification purposes. The spatial database was then used; from this, ten flood contributing parameters were generated: slope, elevation, rainfall, distance from a river, a stream power index (SPI), a topographical wetness index (TWI), a topographical roughness index (TRI), a plan curvature and profile curvature, and land use/land cover. Finally, an FR model database was created for flood-susceptible mapping. The prepared database was separated into four flood-susceptibility zones: low susceptibility, medium susceptibility, high susceptibility, and very high susceptibility. About 26.08% of the land was classified as ‘very high susceptibility,’ while 21.18% was classified as ‘high susceptibility.’ The final flood-susceptibility map was verified by using the receiver operating characteristic (ROC) curve. The results indicated that the method that was used in this study provided accurate results (with a success rate of 87%); this indicated an acceptable result for our flood-susceptibility zonation. Local administrations, researchers, and planners will benefit greatly from this flood-susceptibility analysis in developing flood-prevention plans.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/geom.2024.18.6.23
dc.identifier.eissn2300-7095
dc.identifier.issn1898-1135
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/110797
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectflood susceptibilityen
dc.subjectfrequency ratio modelen
dc.subjectreceiver operating characteristic curveen
dc.subjectgeographic information systemen
dc.titleFlood-susceptibility Analysis of Kolhapur City Using Frequency Ratio Modelen
dc.title.relatedGeomatics and Environmental Engineeringen
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 6
publicationissue.paginationpp. 23-45
publicationvolume.volumeNumberVol. 18
relation.isJournalIssueOfPublicationc86b55ee-f4e1-49a0-a9fd-d2ee5e69e7c3
relation.isJournalIssueOfPublication.latestForDiscoveryc86b55ee-f4e1-49a0-a9fd-d2ee5e69e7c3
relation.isJournalOfPublication102998b2-3fd0-4247-98bf-973d6a9ba2d9
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