Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 137-141 |
| Number of pages | 5 |
| Journal | IAHS-AISH Proceedings and Reports |
| Volume | 373 |
| DOIs | |
| Publication status | Published - 12 May 2016 |
| Event | 7th International Water Resources Management Conference of IAHS-ICWRS 2016 - Bochum, Germany Duration: 18 May 2016 → 20 May 2016 |
Bibliographical note
Publisher Copyright:© Author(s) 2016.
Funding
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.
| Funders | Funder number |
|---|---|
| European Commission | |
| Scion | TR11C1.01-02/309 |
