Civil Engineering Dimension
Vol. 16 No. 1 (2014): MARCH 2014

Prediction of Missing Streamflow Data using Principle of Information Entropy

Santosa, B. (Department of Civil Engineering, Gunadarma University, Depok, 16424)
Legono, D. (Hydraulics Laboratory, Department of Civil and Environmental Engineering, Gadjah Mada University, Grafika 2, Yogyakarta 55281)
, Suharyanto (Department of Civil Engineering, Diponegoro University, Jl. Prof. Soedarto, SH., Tembalang, Semarang, 50275)



Article Info

Publish Date
01 Mar 2014

Abstract

Incomplete (missing) of streamflow data often occurs. This can be caused by a not continous data recording or poor storage. In this study, missing consecutive streamflow data are predicted using the principle of information entropy. Predictions are performed ​​using the complete monthly streamflow information from the nearby river. Data on average monthly streamflow used as a simulation sample are taken from observation stations Katulampa, Batubeulah, and Genteng, which are the Ciliwung Cisadane river areas upstream. The simulated prediction of missing streamflow data in 2002 and 2003 at Katulampa Station are based on information from Genteng Station, and Batubeulah Station. The mean absolute error (MAE) average obtained was 0,20 and 0,21 in 2002 and the MAE average in 2003 was 0,12 and 0,16. Based on the value of the error and pattern of filled gaps, this method has the potential to be developed further.

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