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The best-fit model to predict spatial sedimentation rates at Loagan Bunut Lake, Miri, Sarawak

机译:最佳拟合模型,用于预测沙捞越美里Loagan Bunut湖的空间沉积速率

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摘要

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 within the boundaries of Loagan Bunut National Park in the northeast part of the state of Sarawak. Twenty-two cylindrical traps were installed at the lake. The traps were placed in November 2005 until April 2008. Each sample was collected after about four to five months of deployment. A dry sedimentation rates and linear distances from Trap 1 located at the confluence of Bunut River were measured. Based on strong coefficient of determinant, the best-fit model of sedimentation rates distributed by advective force at the distance 0-600 m from Bunut River was S = So e-kx or S = So e Rx/ws. Reynold ’s theorem of mass flux was used to explain coefficient k in the equation.
机译:物理定律是环境科学许多领域中自然系统的基础。例如,对流体动力学的研究可以用来描述水污染物的扩散。在这项研究中,建立了最合适的模型来预测Loagan Bunut湖的空间沉降速率。该湖是一个泛滥的平原湖,位于砂拉越州东北部的卢甘·布努特国家公园(Loagan Bunut National Park)的边界内。湖上安装了22个圆柱形陷阱。诱集装置于2005年11月至2008年4月放置。每个样本在部署约4至5个月后收集。测量了位于布努特河汇合处的陷阱1的干沉降速率和线性距离。基于强决定因素,在距布努特河0-600 m处,由平流力分配的最佳沉降速率模型为S = So e-kx或S = So e Rx / ws。雷诺的质量通量定理用于解释方程中的系数k。

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