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Prediction of Missing Streamflow Data using Principle of Information Entropy

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 i...

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Hlavní autoři: Santosa, B., Legono, D., , Suharyanto
Médium: Artigo
Jazyk:Inglês
Vydáno: Petra Christian University 2014-01-01
Edice:Civil Engineering Dimension
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On-line přístup:http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/18935
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