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

被引:29
作者
Aksoy, Hafzullah [1 ]
Kirca, Veysel Sadan Ozgur [1 ]
Burgan, Halil Ibrahim [1 ]
Kellecioglu, Dorukhan [1 ]
机构
[1] Istanbul Tech Univ, Hydraul Div, Dept Civil Engn, TR-34469 Istanbul, Turkey
来源
SPATIAL DIMENSIONS OF WATER MANAGEMENT - REDISTRIBUTION OF BENEFITS AND RISKS | 2016年 / 373卷
关键词
INDEX;
D O I
10.5194/piahs-373-137-2016
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:137 / 141
页数:5
相关论文
共 11 条
[1]  
Aksoy H., 2014, P MED M MON MOD EARL, P205
[2]  
Beven K.J., 1979, Hydrological Sciences Bulletin, V24, P43, DOI DOI 10.1080/02626667909491834
[3]  
Dilley M, 2005, DISAST RISK MANAGE, P1
[4]  
Ermis I. S., 2015, DETERMINATION FLOOD
[5]   DIGITAL TERRAIN MODELING - A REVIEW OF HYDROLOGICAL, GEOMORPHOLOGICAL, AND BIOLOGICAL APPLICATIONS [J].
MOORE, ID ;
GRAYSON, RB ;
LADSON, AR .
HYDROLOGICAL PROCESSES, 1991, 5 (01) :3-30
[6]  
Onoz B., 2012, C1209047 ITU CEC
[7]   THE LN(A/TAN-BETA) INDEX - HOW TO CALCULATE IT AND HOW TO USE IT WITHIN THE TOPMODEL FRAMEWORK [J].
QUINN, PF ;
BEVEN, KJ ;
LAMB, R .
HYDROLOGICAL PROCESSES, 1995, 9 (02) :161-182
[8]   DEM-Based Approaches for the Delineation of Flood-Prone Areas in an Ungauged Basin in Africa [J].
Samela, Caterina ;
Manfreda, Salvatore ;
De Paola, Francesco ;
Giugni, Maurizio ;
Sole, Aurelia ;
Fiorentino, Mauro .
JOURNAL OF HYDROLOGIC ENGINEERING, 2016, 21 (02)
[9]   On the calculation of the topographic wetness index: evaluation of different methods based on field observations [J].
Sorensen, R ;
Zinko, U ;
Seibert, J .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2006, 10 (01) :101-112
[10]  
USACE [United States Army Corps of Engineers], 2010, HEC RAS US MAN VERS