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Dimensionless Light Attenuation Number for Modeling Suspended Sediment Concentration in Open Channels

机译:用于模拟明渠中悬浮泥沙浓度的无量纲光衰减数

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The present work focuses on estimating suspended sediment concentration in rivers using sediment transport modeling coupled with wireless sensors. The vertical attenuation of light intensity within the water column of open channels with suspended sediment closely fallows the exponential Beer-Lambert Law but varies considerably due to sediment physical characteristics. Dimensional analysis is performed using principles of optical physics in a liquid and dimensionless arrangement of controlling variables to formulate a light attenuation number that includes sediment density, particle size, concentration and attributes of the incident light. The light attenuation number is used to predict a dimensionless light attenuation coefficient that parameterizes the Beer-Lambert Law. Dimensional analysis results are tested for a range of laboratory and field data of light attenuation by sediment in rivers and lakes reported in the literature and laboratory data collected in this study. We used our recently developed light attenuation sediment sensors for stream sediments in the lab to collect data results for natural and engineered sediments. Results show that the light attenuation number predicts well data across a range of sediment characteristics. And, implications are that knowledge of sediment properties allows the light attenuation number combined with sensor measurements and transport models to predict suspended sediment concentration in rivers. We also highlight that the low cost wireless light attenuation sediment sensors are well suited for sediment measurements within watershed sensor networks that can be coupled to more traditional sediment transport modeling approaches.
机译:本工作着重于使用结合无线传感器的泥沙输送模型估算河流中的悬浮泥沙浓度。悬垂沉积物的明渠水柱内光强度的垂直衰减接近于指数比尔-朗伯定律,但由于沉积物的物理特性而有很大变化。使用光学物理学原理以液体和无量纲控制变量进行尺寸分析,以制定光衰减数,包括沉积物密度,粒径,浓度和入射光的属性。光衰减数用于预测参数化比尔-朗伯定律的无量纲光衰减系数。尺寸分析结果针对一系列实验室和现场数据进行了测试,这些数据在文献中报告了河流和湖泊中的沉积物对光衰减的作用,并且对本研究中收集的实验室数据进行了测试。我们在实验室中使用最新开发的光衰减沉积物传感器对河流沉积物进行收集,以收集天然和工程沉积物的数据结果。结果表明,光衰减数可预测一系列沉积物特征中的油井数据。而且,这意味着对沉积物特性的了解可以使光衰减数与传感器测量值和运输模型相结合,以预测河流中悬浮的沉积物浓度。我们还强调指出,低成本无线光衰减沉积物传感器非常适合流域传感器网络中的沉积物测量,该流域传感器网络可以与更传统的沉积物传输建模方法结合使用。

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