Spatial Resolution Effect of Remotely Sensed Data on Flood Hydrograph Simulation

被引：3
作者：
Chezgi, Javad [1 ]
Vafakhah, Mehdi [1 ]
Falahatkar, Samereh [2 ]
机构：
[1] Tarbiat Modares Univ, Fac Nat Resources, Dept Watershed Management Engn, Noor, Mazandaran Prov, Iran
[2] Tarbiat Modares Univ, Fac Nat Resources, Dept Environm Sci, Noor, Mazandaran Prov, Iran
来源：
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING | 2020年 / 48卷 / 01期
关键词：
Land use; Rainfall-runoff model; Flood hydrograph; Natural Resources Conversation Service; ModClark; LAND-USE CHANGE; HYDROLOGY; CLIMATE; RUNOFF; GIS; MODEL;
D O I：
10.1007/s12524-019-01060-z
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
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.
引用
收藏
页码：97 / 112
页数：16
相关论文
共 36 条
[1]  
Abdul-Qadir A.M.H., 2010, Journal of Iraqi Desert Studies, V2, P19
[2]   GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus [J].
Alexakis, D. D. ;
Grillakis, M. G. ;
Koutroulis, A. G. ;
Agapiou, A. ;
Themistocleous, K. ;
Tsanis, I. K. ;
Michaelides, S. ;
Pashiardis, S. ;
Demetriou, C. ;
Aristeidou, K. ;
Retalis, A. ;
Tymvios, F. ;
Hadjimitsis, D. G. .
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2014, 14 (02) :413-426
[3]  
Alvarez D., 2008, ASPRS 2008 ANN C POR
[4]  
[Anonymous], 2009, Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels, DOI DOI 10.1017/CBO9780511627217
[5]   Effects of land-use land-cover data resolution and classification methods on SWAT model flow predictive reliability [J].
Asante K. ;
Leh M.D. ;
Cothren J.D. ;
Di Luzio M. ;
Van Brahana J. .
International Journal of Hydrology Science and Technology, 2017, 7 (01) :39-62
[6]  
Bosch DD, 2004, T ASAE, V47, P1493, DOI 10.13031/2013.17629
[7]   Effects of climate and land-use change on storm runoff generation:: present knowledge and modelling capabilities [J].
Bronstert, A ;
Niehoff, D ;
Bürger, G .
HYDROLOGICAL PROCESSES, 2002, 16 (02) :509-529
[8]  
Chandra A.M., 2006, Remote sensing and geographical information system, VI
[9]   Effect of DEM data resolution on SWAT output uncertainty [J].
Chaubey, I ;
Cotter, AS ;
Costello, TA ;
Soerens, TS .
HYDROLOGICAL PROCESSES, 2005, 19 (03) :621-628
[10]  
Chen P.-Y., 2005, PEC 16 GLOB PER LAND
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