A Modified LAPSUS Model to Enhance the Effective Rainfall Estimation by SCS-CN Method
Masoud Eshghizadeh (),
Ali Talebi and
Mohamad-Taghi Dastorani
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Masoud Eshghizadeh: University of Gonabad
Ali Talebi: Yazd University
Mohamad-Taghi Dastorani: Ferdowsi University of Mashhad
Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2018, vol. 32, issue 10, No 14, 3473-3487
Abstract:
Abstract In this study, LAPSUS model is modified to enhance the effective rainfall estimation by SCS curve number method. The LAPSUS model calculates discharge based on effective rainfall and routs it towards lower neighbouring grid cells following the multiple flow direction principle. Then, the sediment transport capacity and sediment transport rate are calculated in each grid cell. Finally, erosion or sedimentation is calculated by comparing the sediment transport rate with the sediment already in the transport of each grid cell. The amount of rainfall, curve number, convergence factor, discharge exponent, slope exponent, erodibility factor, and sedimentation ability factor are inputted to the application page of the modified model that was created in the C++ programming. The outputs of the model are runoff and erosion maps in ASCII format. Evaluating performance of the modified model showed a high accuracy of its results. The value of the coefficient of determination (R2) calculated 0.99 for runoff and 0.97 for erosion. The Nash-Sutcliffe efficiency was 0.96 for runoff and 0.97 for erosion. The value of the precision index calculated 0.81 for both runoff and erosion. Also, the nRMSE calculated 3% for both runoff and erosion. The result showed that the modified model capable to estimate the runoff and erosion on a landscape in a micro sub-catchment scale.
Keywords: CN; Effective rainfall; LAPSUS; SCS (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:waterr:v:32:y:2018:i:10:d:10.1007_s11269-018-2002-9
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DOI: 10.1007/s11269-018-2002-9
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