Flood Hazard Zoning Using HEC-RAS in GIS Environment and Impact of Manning Roughness Coefficient Changes on Flood Zones in Semi-Arid Climate

Flood Hazard Zoning Using HEC-RAS in GIS Environment and Impact of Manning Roughness Coefficient Changes on Flood Zones in Semi-Arid Climate

Archive of SID DESERT Desert Online at http://desert.ut.ac.ir Desert 21-1 (2016) – 24-34 Flood hazard zoning using HEC-RAS in GIS environment and impact of manning roughness coefficient changes on flood zones in Semi-arid climate M. Golshana, A. Jahanshahia, A. Afzalib* a Department of watershed Management, Faculty of Natural Resources, Natural Resources and Agricultural Science University, Sari, Iran b Desert Management Dept., International Desert Research Center (IDRC), University of Tehran, Tehran, Iran Received: 30 August 2015; Received in revised form: 30 November 2015; Accepted: 22 February 2016 Abstract Development of rural areas in rivers margins and flood plains, without understanding and attention to the dynamical and hydrological conditions and upstream areas of the rivers will cause to increase flood risk and loss of life and financial. Flood zoning has many applications, in floodplain management. For management of the three major branches of the Halilrood River, Rabor, Roodar and Javaran in Safarood watershed in Kerman Province, flood hazard zonation was considered in this research. For this purpose, Flood levels in 2 to 200 return periods in three mentioned reaches (72.13 km) using HEC-RAS and HEC-GeoRAS extension were determined in GIS environment. Initially, Rivers Plan was divided to 163 cross sections and in 75 of them, hydrological data were collected and roughness coefficient was determined by Manning method. Results showed that 90.26 percent of the total area affected by the 200-year flood, Susceptible to flooding by the flood under 25 years as well as study on flood depth in the floodplain showed that 68.26 percent of the average depth of floods with 200 years return period is belonged to floods with under 25 year return period. Survey on roughness coefficient in the return period of 200 years, revealed that with a doubling of the roughness coefficient, area under flood 7.15 percent increase which proves direct relationship between the return period and flood area. The result confirms accuracy of combination geographic information system and HEC-RAS software in flood zoning and river modeling. Keywords: Zoning; Flood; Manning coefficient; Halilrood 1. Introduction (Rezaei Moghaddam and Esmaili, 2005). Due to the recognition of flood zones and In international culture, flood is defined as a management to reduce flood damage, water flow with high discharge, which water preparation and study of flood zoning maps rises and drowning out its land around that are have been used extensively in flood plains not usually under water (Ghodsian, 1998). management studies and it is considered in the Flood plains are often fertile lands, which are agenda of the relevant agencies as one of the under flood risk (Ahmadi, 2007). In recent years basic and important information in studies of the development of the cities that are on the development projects in the world, Before rivers margins, the growing population, lack of making any investment or conducting attention to the environment capacity and development projects in flood plains (Alizadeh, inappropriate use of resources has led to damage 2012). Determining the rivers’ bed floor and to the mentioned communities that indicates the verge, studying and justifying the economic necessity of applying flood plains management feasibility of development projects, flood forecasting and warning, rescue operation and Corresponding author. Tel.: +98 912 3317789, flood insurance are some applications of these Fax: +98 21 88971717. maps. There are different ways to prepare these E-mail address: [email protected] maps, which one of the newest methods is the www.SID.ir Archive of SID 26 Golshan et al. / Desert 21-1(2016) – 24-34 use of geographic information systems (GIS) along with the program’s results reveal the fact and its combination with the hydraulic and that more than half of the built-up areas of hydrological models (Rezaei Moghaddam and Zamostea village are established along brooks, Esmaili, 2005). Results of flood plain zone are within the floodplain area (Haliuc and Frantiuc, compared with the two hydraulic models, 2013) assessed the agricultural losses caused by MIKE11 and HEC-RAS. Initially The Analysis floods using HEC-RAS and GIS in a reach of of hydraulic flood is performed with entry data 29.5 km long of Garehsou River in Kermanshah geometric cross sections, boundary conditions Watershed and concluded that the presented and initial data after calibration then the results suggestions for the combined plan of reform and of the model that consists of flood zones as dredging had no huge differences with the layers of data transfer to ARCVIEW software reform plan and dredging plan in terms of and overlay with topographic maps 1/2500 reducing the damage (Hekmati Far et al., 2009). national mapping agency. Finally, results are assessment of flood hazard by developing a shown in flood zone maps for the HEC-RAS flood hazard map for mid-eastern Dhaka (37.16 and MIKE11 models. When we compared the km2) was carried out by 1D hydrodynamic results of the two models, we found little simulation on the basis of digital elevation difference between the models (Montazami et model (DEM) data from Shuttle Radar al., 2014). In these models, Manning roughness Topography Mission and the hydrologic field- coefficient can be noted among several factors observed data for 32 years (1972–2004). The which are effective on velocity, depth and water inundation simulation was conducted using stress during the floods. Several studies have hydrodynamic program HEC-RAS for flood of been conducted on flood hazard zonation and 100-year return period. The simulation has flood areas in Iran and the world. Rezaei revealed that the maximum depth is 7.55 m at Moghaddam and Ismaili (Mousavi Baygi et al., the southeastern part of that area and affected 2012) studied the geomorphologic effects of area is more than 50% (Masood and Takeuchi, floods in Raeskola Watershed, after preparing 2011). Studied the zoning of Karoon River some cross sections using HEC-RAS software, between Babdgir to Ahvaz using the HEC-RAS shear stress, river power and other needed model. They calculated the output flooding parameters were determined and it was clear using the hydraulic method and hydrograph that the size of floods could be more accurately index and drew 44 sections along 43 km of river predicted for small steep mountain rivers by and achieved the maximum water surface ancient water table and stream power indices. elevation at certain levels for return periods of 5 Ismaili et al (Esmaili and Hasouni Zadeh, 2009) to 100 years and calculated the area of flood studied the hydraulic behavior of Konchancham hazard (Qomi Oili et al., 2010). The River in Ilam Province against possible floods vulnerability assessment from the 1979 flood damage in order to reduce the damage. They event simulated by HEC-RAS model presents used HEC-RAS software and HEC-GeoRAS the intensity of risk to which the City of Jackson extension to display the study area and extract is exposed with its major transportation the needed data. The results showed that the corridors (I-55, Highway 80) and numerous combination of hydraulic models is not only critical facilities getting affected by flood feasible but also facilitates the hydraulic waters. Flood risk assessed by simulating higher modeling. Examined the flood zoning in magnitude flood Events using such hybrid Gorganroud watershed by the combination of approach magnifies the vulnerability of the HEC-HMS and HEC-RAS models. By region and reinforces that any land Use planning determining the area of flood zones in GIS decisions in floodplains should make informed environment, they concluded that the Dogh choices by incorporating scientifically derived River watershed had greatest amount of information in their decision making process flooding. Finally, the number of damaged (Yerramilli, 2012). Examined the flood hazard villages and towns and the amount of flooding zonation using HEC-RAS model and ArcGIS in rural, urban and agricultural lands were software and HEC-GeoRAS extension in a predicted (Shaebanlou et al., 2009). Study in reach of 4.5 km long of Gezilouzan River. They part of Zamostea village (Romania) was used as prepared zoning maps for periods of 2, 5, 10, a pilot drainage basin for the flash-flood 25, 50, 100 and 200 years and found that simulation using the Hec-Ras program and the 86.14% of the total flood zone with 200 years ArcGIS extension, HecGeo-Ras. The programs return period was belonged to floods with under are capable to simulate the water flow and to 25 year return period (Ghaffari and Amini, investigate the floodway encroachments in the 2010). Studied the Manning roughness study area. The damages evaluated in the field coefficient changes in flood zones of Atrak www.SID.ir Archive of SID Golshan et al. / Desert 21-1(2016) – 24-34 27 River. They found that for return periods of 5- accuracy of these models in estimating the water 100 years with the roughness coefficient of 0- surface in these zones. Considering that the first 100%, by increasing in roughness coefficient step in flood management plans is preparation the level and depth of water would significantly of flood hazard zoning maps; as well as the increase. One-dimensional model HEC-RAS results of studies conducted by researchers in was used to simulate the flood zoning in the Iran and other countries show that the Kota Tinggi district in Johor state. combination of HEC-RAS hydraulic model and Implementation processes of the zoning on GIS has an acceptable accuracy for determining catchment for return periods of 2, 25, 50 and flood zones, which is used in the present study 100 years were applied with different roughness (Napradean and Chira, 2006). coefficients. In order to improve the results of Given that the river floodplains of the facilities flood zoning from the obtained results, it is and different user is located, to manage these better to include the items for changing areas in case of flooding and keep them, so hydraulic platform as a different scenario's when it comes zoning is flooding with different problem.

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