Universiti Teknologi Malaysia Institutional Repository

Testing a 1-D analytical salt intrusion model and its predictive equations in Malaysian estuaries

Gisen, Jacqueline Isabella and Savenije, Hubert H. G. and Nijzink, Remko C. and Abd. Wahab, Ahmad Khairi (2015) Testing a 1-D analytical salt intrusion model and its predictive equations in Malaysian estuaries. Hydrological Sciences Journal-Journal Des Sciences Hydrologiques, 60 (1). pp. 156-172. ISSN 0196-8904

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Official URL: http://dx.doi.org/10.1080/02626667.2014.889832

Abstract

Little is known about the salt intrusion behaviour in Malaysian estuaries. Study of salt intrusion generally requires large amounts of data, especially if 2-D or 3-D numerical models are used; thus, in data-poor environments, 1-D analytical models are more appropriate. A fully analytical 1-D salt intrusion model, which is simple to implement and requires minimal data, was tested in six previously unsurveyed Malaysian estuaries (Kurau, Perak, Bernam, Selangor, Muar and Endau). The required data can be collected during a single day of observations. Site measurements were conducted during the dry season (June–August 2012 and February–March 2013) near spring tide. Data on cross-sections (by echo-sounding), water levels (by pressure loggers) and salinity (by moving boat) were collected as model input. A good fit was demonstrated between the simulated and observed salinity distribution for all six estuaries. Additionally, the two calibration parameters (the Van der Burgh coefficient and the boundary condition for the dispersion) were compared with the existing predictive equations. Since gauging stations were only present in some nested catchments in the drainage basins, the river discharge had to be up-scaled to represent the total discharge contribution of the catchments. However, the correspondence between the calibration coefficients and the predictive equations was good, particularly in view of the uncertainty in the river discharge data used. This confirms that the predictive salt intrusion model is valid for the cases studied in Malaysia. The model provides a reliable, predictive tool, which the water authority of Malaysia can use for making decisions on water abstraction or dredging.

Item Type:Article
Uncontrolled Keywords:ammonia, microchannel heat sink, multi-objective genetic algorithm, optimization, thermal resistance indexed keywords
Subjects:A General Works
ID Code:58896
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 12:07
Last Modified:25 Sep 2017 11:47

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