Universiti Teknologi Malaysia Institutional Repository

The calibration of a rainfall-runoff model

Yusop, Zulkifli and Ling, Lloyd (2015) The calibration of a rainfall-runoff model. In: International Conference on Advances in Civil and Environmental Engineering 2015, 28-30 Jul, 2015, Pulau Pinang, Malaysia.

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Abstract

Since the inception of SCS (now USDA) runoff prediction model in 1954, worldwide researchers reported inconsistent study results. Non parametric inferential statistics was used to guide the numerical analysis to search for optimum results for the model calibration in this article. The technique was tested in a case study and a significant improved runoff prediction model was formulated with Nash-Sutcliffe of 0.82 and 16% less residual sum of squares (RSS) than the conventional model. The methodology proposed herewith also addressed the common selection dilemma between mean and median. It identified optimum value used to calibrate the conventional model and also formulated a better runoff predictive model with statistical significance than those by either mean or median. An adjustment equation was also introduced to amend the conventional USDA runoff prediction model.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:bootstrapping, SPSS, non-parametric inferential statistics
Subjects:H Social Sciences > HD Industries. Land use. Labor
Divisions:Civil Engineering
ID Code:61448
Deposited By: Widya Wahid
Deposited On:25 Apr 2017 11:46
Last Modified:25 Apr 2017 11:46

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