Spatial Resolution Effect of Remotely Sensed Data on Flood Hydrograph Simulation
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RESEARCH ARTICLE
Spatial Resolution Effect of Remotely Sensed Data on Flood Hydrograph Simulation Javad Chezgi1 • Mehdi Vafakhah1
•
Samereh Falahatkar2
Received: 29 May 2019 / Accepted: 10 October 2019 Ó Indian Society of Remote Sensing 2019
Abstract The objective of this study is to compare the effect of different spatial resolution of satellite images (Landsat-8, Sentinel-2 and Gaofen-1) for deriving LULC map and its effects on the performance of HEC-HMS lumped and Flood Hydro distributed models in flood hydrograph simulation in the Ammameh Watershed, Iran. The Soil Conservation Service Curve Number method was used for considering the rainfall loss rate in both models. The value of curve number was determined based on hydrologic soil groups and produced LULC maps from the satellite images with respect to soil moisture conditions. The performance of HEC-HMS lumped and Flood Hydro distributed models in flood hydrograph simulation was evaluated for 15 and five rainfall-runoff events, respectively. The simulation results of flood hydrographs in validation phase showed that both models provided acceptable results, and there were no significant differences among the results of three remotely sensed images for simulating the flood hydrographs. Keywords Land use Rainfall-runoff model Flood hydrograph Natural Resources Conversation Service ModClark
Introduction The peak discharge and flood hydrograph are essential for predicting the hydrologic behavior of basin in watershed management and planning, bridges design, structural design, dam design and flood control and management (Zhang et al. 2015). Because the observed data are usually insufficient or unavailable, hydrological models are designed (Eisenbies et al. 2007). The Soil Conservation Service Curve Number (SCS-CN) method, developed by the United States
& Mehdi Vafakhah [email protected] Javad Chezgi [email protected] Samereh Falahatkar [email protected] 1
Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Noor, Mazandaran province, Iran
2
Department of Environmental Science, Faculty of Natural Resources, Tarbiat Modares University, Noor, Mazandaran province, Iran
Department of Agriculture-Soil Conservation Service (Mishra and Singh 2013), is widely used for direct runoff estimation in a given rainfall event from small agricultural watersheds, and it has been widely accepted by hydrologists, water resource planners and engineers (Patil et al. 2008). In addition, the SCS-CN method has been used in different watershed models such as CREAMS (Knisel 1980), AGNPS (Young et al. 1989), EPIC (Sharpley 1990), HEC-HMS (Scharffenberg and Fleming 2006) and SWAT (Bosch et al. 2004). Digital elevation model (DEM), land-use/land-cover (LULC) and soil characteristics are the main inputs in hydrological models (Bosch et al. 2004; Bronstert et al. 2002; Conly and Van Der Kamp 2001). The spatial resolution of these data significantly affects the accuracy of hydrological models. Recently, re
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