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Hydrological and hydraulic models for determination of flood-prone and flood inundation areas

Araştırma sonucu: Dergiye katkıKonferans makalesibilirkişi

44 Atıf (Scopus)

Özet

Geographic Information Systems (GIS) are widely used in most studies on water resources. Especially, when the topography and geomorphology of study area are considered, GIS can ease the work load. Detailed data should be used in this kind of studies. Because of, either the complication of the models or the requirement of highly detailed data, model outputs can be obtained fast only with a good optimization. The aim in this study, firstly, is to determine flood-prone areas in a watershed by using a hydrological model considering two wetness indexes; the topographical wetness index, and the SAGA (System for Automated Geoscientific Analyses) wetness index. The wetness indexes were obtained in the Quantum GIS (QGIS) software by using the Digital Elevation Model of the study area. Flood-prone areas are determined by considering the wetness index maps of the watershed. As the second stage of this study, a hydraulic model, HEC-RAS, was executed to determine flood inundation areas under different return period-flood events. River network cross-sections required for this study were derived from highly detailed digital elevation models by QGIS. Also river hydraulic parameters were used in the hydraulic model. Modelling technology used in this study is made of freely available open source softwares. Based on case studies performed on watersheds in Turkey, it is concluded that results of such studies can be used for taking precaution measures against life and monetary losses due to floods in urban areas particularly.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)137-141
Sayfa sayısı5
DergiIAHS-AISH Proceedings and Reports
Hacim373
DOI'lar
Yayın durumuYayınlandı - 12 May 2016
Etkinlik7th International Water Resources Management Conference of IAHS-ICWRS 2016 - Bochum, Germany
Süre: 18 May 201620 May 2016

Bibliyografik not

Publisher Copyright:
© Author(s) 2016.

Finansman

This study is based on the research project “A Scientific Network for Earthquake, Landslide and Flood Hazard Prevention – SciNetNatHazPrev” (no. TR11C1.01-02/309) which is implemented under the Black Sea Basin Joint Operational Program, co-funded by the European Union and national funds of the participating countries. Acknowledgements. This study is based on the research project “A Scientific Network for Earthquake, Landslide and Flood Hazard Prevention – SciNetNatHazPrev” (no. TR11C1.01-02/309) which is implemented under the Black Sea Basin Joint Operational Program, co-funded by the European Union and national funds of the participating countries.

FinansörlerFinansör numarası
European Commission
ScionTR11C1.01-02/309

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