Determination of potential flooding of inebolu basin by cn method with a gis-based software

Basit Öğe Kaydı
dc.authorscopusid57211713934
dc.authorscopusid57211711467
dc.authorscopusid35298917400
dc.authorscopusid54882441600
dc.authorscopusid57211715041
dc.authorscopusid57211711191
dc.authorscopusid57211711344
dc.contributor.authorKatmerlikaya S.
dc.contributor.authorKurucak G.
dc.contributor.authorDabanli A.
dc.contributor.authorKocamaz A.F.
dc.contributor.authorSarica O.O.
dc.contributor.authorDogan A.
dc.contributor.authorBaltaci E.
dc.date.accessioned2024-08-04T20:03:57Z
dc.date.available2024-08-04T20:03:57Z
dc.date.issued2019
dc.departmentİnönü Üniversitesien_US
dc.description2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019 -- 21 September 2019 through 22 September 2019 -- 153040en_US
dc.description.abstractInaccurate planning and methods of land cover / use occurring in the basins increase the intensity and frequency of flood events. The fact that floods are predictable before they occur is of great importance for preventive activities. Therefore, modeling of the basin; plays an important role in planning and developing local resources. In this study, flooding in İnebolu basin of Kastamonu province is modeled. In this context, GIS-based, flexible and user-friendly grid-based software is developed. Surface water retention capacity and the amount of water flowing on the surface were calculated for each grid. Thus, flood formation areas could be determined in the region where the study was carried out. © 2019 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2019.8875967
dc.identifier.isbn9781728129327
dc.identifier.scopus2-s2.0-85074889853en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2019.8875967
dc.identifier.urihttps://hdl.handle.net/11616/92239
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2019 International Conference on Artificial Intelligence and Data Processing Symposium, IDAP 2019en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGISen_US
dc.subjectGrid Baseden_US
dc.subjectIneboluen_US
dc.subjectRunoffen_US
dc.titleDetermination of potential flooding of inebolu basin by cn method with a gis-based softwareen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu