Study of water level-discharge relationship using Artificial Neural Network (ANN) in Sungai Gumum, Tasik Chini Pahang Malaysia

Othman Jaafar, Mohd. Ekhwan Toriman, Mushrifah Idris, Sharifah Mastura Syed Abdullah, Hafizan Hj Juahir, Nor Azlina Abdul Aziz, Khairul Amri Kamarudin, Nor Rohaizah Jamil

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

The prediction of discharge (Q) and its variability in a river and lake are an essential component of hydrological regime studies. For the purpose, two tasks were developed to study the relationship in the Sungai Gumum and Tasik Chini Pahang. First, using simple functional relationship between water level and Q and expressed as a rating curve. Second, using complex non-linear Artificial Neural Network (ANN) method to train and validate the Q data of Sungai Gumum and its relationship to Tasik Chini water level fluctuation. The rating curve indicates that maximum Q was calculated at 0.09 m3 sec-1 at 0.64 m depth and the minimum of 0.02 m3 sec-1 at 0.1 m depth. Meanwhile, the ANN model explains 65.9% of the validation data set yielded result within 5% of error in predicting the stream Q. The relationship between ANN prediction of Q and the mean water level of Tasik Chini show highly positive correlation (R2 = 0.89). This indicates that Sungai Gumum plays a vital role in supplying fresh water into Tasik Chini. Restoration of the hydrological aspects through regulating the water level in Tasik Chini is essential to ensure prolongs water-based activities.

Original languageEnglish
Pages (from-to)20-26
Number of pages7
JournalResearch Journal of Applied Sciences
Volume5
Issue number1
DOIs
Publication statusPublished - 2010

Fingerprint

Malaysia
Water levels
Neural networks
water
ratings
Water
fresh water
Discharge (fluid mechanics)
Restoration
supplying
Lakes
curves
predictions
lakes
restoration
Rivers
rivers

Keywords

  • Artificial neural network
  • River discharge
  • Sungai Gumum
  • Tasik Chini
  • Water level

ASJC Scopus subject areas

  • General
  • Engineering(all)

Cite this

Study of water level-discharge relationship using Artificial Neural Network (ANN) in Sungai Gumum, Tasik Chini Pahang Malaysia. / Jaafar, Othman; Toriman, Mohd. Ekhwan; Idris, Mushrifah; Syed Abdullah, Sharifah Mastura; Juahir, Hafizan Hj; Aziz, Nor Azlina Abdul; Kamarudin, Khairul Amri; Jamil, Nor Rohaizah.

In: Research Journal of Applied Sciences, Vol. 5, No. 1, 2010, p. 20-26.

Research output: Contribution to journalArticle

Jaafar, Othman ; Toriman, Mohd. Ekhwan ; Idris, Mushrifah ; Syed Abdullah, Sharifah Mastura ; Juahir, Hafizan Hj ; Aziz, Nor Azlina Abdul ; Kamarudin, Khairul Amri ; Jamil, Nor Rohaizah. / Study of water level-discharge relationship using Artificial Neural Network (ANN) in Sungai Gumum, Tasik Chini Pahang Malaysia. In: Research Journal of Applied Sciences. 2010 ; Vol. 5, No. 1. pp. 20-26.
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