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 streamfl...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Petra Christian University
2014-01-01
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| Series: | Civil Engineering Dimension |
| Subjects: | |
| Online Access: | http://puslit2.petra.ac.id/ejournal/index.php/civ/article/view/18935 |