A Methodology for Water Level Predictions using Artificial Neural Network

HWANDON, JUN , and JIHO LEE,, MOOJONG PARK (2014) A Methodology for Water Level Predictions using Artificial Neural Network. In: International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2014, 07- 08 June,2014, Rome, Italy.

20140711_042134.pdf - Published Version

Download (2MB) | Preview
Official URL: https://www.seekdl.org/conferences/paper/details/3...


We suggest the methodology of possible water level predictions on a short time period for the mid and small river flood warning system which is excluded the results of rainfall- runoff model. Technique is proposed that it can predict water level within 30 minutes based on upstream water level by using ANN (Artificial Neural Network). Accuracy of water level forecasting was verified by applying to Nam river dam upstream of the Nakdong river basin.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: mid and small rivers, flood warning, Artificial Neural Network, water level prediction, lead time
Depositing User: Mr. John Steve
Date Deposited: 21 May 2019 10:53
Last Modified: 21 May 2019 10:53
URI: http://publications.theired.org/id/eprint/2585

Actions (login required)

View Item View Item