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|Title:||Catchment parameters estimation using probabilistic techniques||Authors:||Ibrahim, Y.
|Issue Date:||1992||Citation:||Ibrahim, Y.,Liong, S.Y. (1992). Catchment parameters estimation using probabilistic techniques. ScholarBank@NUS Repository.||Abstract:||This paper presents a method of estimating the catchment calibration parameters with respect to one runoff characteristic or response of interest. The calibration parameters are assumed to be random and uniformly distributed within certain bounds. These bounds are such that there exist combinations of the calibration parameters leading to predicted responses which bound the measured response. The objective is to find an estimate of the calibration parameters which will cause the predicted response to be equal to the measured response. This is done by first obtaining a response function in terms of the calibration parameters. The best estimate is then obtained by matching the measured response to a point on the response function at which the joint probability density is a maximum. This method is demonstrated on a catchment in Singapore and the results obtained are very good. (Authors)||URI:||http://scholarbank.nus.edu.sg/handle/10635/67848|
|Appears in Collections:||Staff Publications|
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