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Physical laws are fundamental to natural systems across many fields in environmental science. For example, a study of fluid dynamics can be used to describe the dispersion of water pollutants. In this study, the best-fit model was produced to predict spatial sedimentation rates at Loagan Bunut Lake. The lake is a flood plain lake that is located wi...
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... graphs and the coefficient of determinant, R 2 are in Fig. 3. The coefficients of determinant were 0.8 or higher. At this area, sedimentation rate decreased exponentially with distance from Trap 1. All samples showed highly similar decay exponential pattern with distance from Trap 1. An initial value of sedimentation rate before entering the lake was ranging from 8.42 g day -1 m -2 to 22.24 g day -1 m - 2 . The exponential index was ranging from – 0.0007 to – 0.0021. An average of sedimentation rate with distance from Trap 1 for all samples at the area has R 2 = 0.94 (Fig. 4). The best-fit of average sedimentation rates distributed by advective force of inflow at the distance 0-600 m from Bunut River was S x = 16.25 e − 0 . 0017 x where 16.25 = sedimentation rate at at Bunut River/Lake confluence in units g day -1 m -2 , S x = sedimentation rate at x distance from Trap 1, x = linear distance from Trap 1 in unit m , 0.0017 = a coefficient of sedimentation rate. In general, the equation can be written as S x = S o e − kx where s o and k are sedimentation rate at x distance from Trap 1 and a coefficient of sedimentation rate ...
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A wastewater modeling contributes a valuable information in managing wastewater problems. Therefore, this study presented a multiple linear regression modeling on waste water in terms of heavy metal concentrations (lead, copper and zinc) and water quality parameters (BOD, COD, TSS, pH, temperature). The multiple linear regression was performed eight independent variables at three selected stations in six different times. The samples were collected from waste water produced by a variety of food stalls in the urban region of Southern Malaysia. The results showed that the water pH was not influenced by lead dependent variable at all sampling stations. Pearson correlation was performed to investigate the significant relationship among continuous variables such as BOD, COD, TSS, pH, temperature, lead, copper and zinc. The 'one sample t-test' was used in order to know the significant difference between numerical variables in all stations during the sampling period. Multiple comparisons and Fisher's LSD method were also implemented for investigating the differentiation of interested numerical variables.
This paper is to predict dominant factors influencing temporal sedimentation rates at Loagan Bunut Lake using best-fit model of sedimentation rate and distance from Bunut River. The lake is a flood plain lake located in Sarawak, Malaysia. Twenty two cylindrical traps were installed at the lake from November 2005 until April 2008. Each sample was collected after about four to five months of deployment. Dry sedimentation rates from the traps and the linear distances from Trap 1 located at the confluence of Bunut River were measured. The factors that influence the temporal sedimentation at the lake were both internal and external physical changes of the lake. The factors were net ws (net Stoke’s settling velocity) and water volume in the lake for suspended sediment distribution.
