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Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment

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  • Ali Suliman
  • Milad Jajarmizadeh
  • Sobri Harun
  • Intan Mat Darus

Abstract

Predicting streamflow in a large arid and semi-arid basin is of great importance in understanding the availability of water for spatial planning and water resource management. In this study, two geographic information system-based (GIS-based) semi-distributed hydrological models were compared for predicting flow. TOPMODEL and SWAT require the use of a GIS to process input data obtained from various sources, such as the digital elevation model (DEM), topographic index (TI), hydrologic response unit (HRU), meteorological stations, and soil- and land-use maps. Daily hydro-meteorological data were collected from 1989 to 2007, and 90-m resolution of DEM was considered. The models were compared, and their performances for the prediction of peak flows and runoff volumes were discussed. TOPMODEL and SWAT obtained good coefficient values for the validation period, i.e., 0.61 and 0.68, respectively. According to relative error percentage (RE %) criteria, TOPMODEL provided a promising value for the validation period (64 %) for peak flows, whereas SWAT provided about 70 %. TOPMODEL provided 5-year overestimation and 1-year underestimation for runoff volume; SWAT provided 2-year underestimation and 4-year overestimation. For this study, both models obtained promising simulation results for surface flow. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ali Suliman & Milad Jajarmizadeh & Sobri Harun & Intan Mat Darus, 2015. "Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3095-3110, July.
    • Handle: RePEc:spr:waterr:v:29:y:2015:i:9:p:3095-3110
    DOI: 10.1007/s11269-015-0984-0
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    References listed on IDEAS

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    1. Taymoor Awchi, 2014. "River Discharges Forecasting In Northern Iraq Using Different ANN Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 801-814, February.
    2. Peng Shi & Chao Chen & Ragahavan Srinivasan & Xuesong Zhang & Tao Cai & Xiuqin Fang & Simin Qu & Xi Chen & Qiongfang Li, 2011. "Evaluating the SWAT Model for Hydrological Modeling in the Xixian Watershed and a Comparison with the XAJ Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2595-2612, August.
    3. Saeed Ghavidelfar & Sayed Alvankar & Arash Razmkhah, 2011. "Comparison of the Lumped and Quasi-distributed Clark Runoff Models in Simulating Flood Hydrographs on a Semi-arid Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1775-1790, April.
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    1. Milad Jajarmizadeh & Lariyah Mohd Sidek & Majid Mirzai & Sina Alaghmand & Sobri Harun & Mohammad Rafee Majid, 2016. "Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(8), pages 2627-2640, June.
    2. Vinit Sehgal & Venkataramana Sridhar & Luke Juran & Jactone Arogo Ogejo, 2018. "Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S," Sustainability, MDPI, vol. 10(9), pages 1-27, August.
    3. Sílvio Luís Rafaeli Neto & Eder Alexandre Schatz Sá & Aline Bernarda Debastiani & Víctor Luís Padilha & Thiago Alves Antunes, 2019. "Efficacy of Rainfall-Runoff Models in Loose Coupling Spacial Decision Support Systems Modelbase," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 889-904, February.
    4. Ali H. Ahmed Suliman & Ayob Katimon & Intan Zaurah Mat Darus & Shamsuddin Shahid, 2016. "TOPMODEL for Streamflow Simulation of a Tropical Catchment Using Different Resolutions of ASTER DEM: Optimization Through Response Surface Methodology," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3159-3173, July.
    5. Xiaoyan Zhai & Liang Guo & Ronghua Liu & Yongyong Zhang & Yongqiang Zhang, 2021. "Comparing Three Hydrological Models for Flash Flood Simulations in 13 Humid and Semi-humid Mountainous Catchments," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1547-1571, March.

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