Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, LA 70803, USA.
Sci Total Environ. 2012 Dec 15;441:176-81. doi: 10.1016/j.scitotenv.2012.09.059. Epub 2012 Nov 6.
Dissolved Oxygen (DO) levels in streams with nutrient enriched fine-grained sediment are highly affected by sediment resuspension. This paper presents a new model, called VART-DOS model, for simulation of instream DO transport, DO exchanges across water-sediment and water-air interfaces, and DO variation in response to sediment resuspension. The sediment resuspension effect is described by introducing a lumped term as a product of DO concentration and a rate of sediment resuspension-induced DO consumption (Λ). The rate parameter Λ is defined as a nonlinear function of average summer temperature of water and several sediment erosion-related parameters. This is a novel and unique feature of the VART-DOS model. Based on sensitivity analysis, effects of BOD and Sediment Oxygen Demand (SOD) on DO consumption are not so important as compared to sediment resuspension which can cause up to 83% reduction in DO level during high flow. The VART-DOS model was applied to the Lower Amite River in Louisiana, USA to perform continuous simulations of DO fluctuations in the winter month January and the summer month July involving several flood-induced sediment resuspension events. Simulation results indicate that the VART-DOS model is capable of capturing overall variation trends in DO concentration. The Normalized Root Mean Square Error (RMSE) between VART-DOS simulated and observed DO levels was 0. 42 for January and 0.23 for July, demonstrating the efficacy of the VART-DOS model.
溶解氧(DO)在富含营养物质的细颗粒沉积物的溪流中受到沉积物再悬浮的高度影响。本文提出了一种新模型,称为 VART-DOS 模型,用于模拟水流中的 DO 输运、水-沉积物和水-气界面的 DO 交换以及对沉积物再悬浮的 DO 变化响应。通过引入 DO 浓度和沉积物再悬浮引起的 DO 消耗(Λ)的速率的乘积作为一个集中项,来描述沉积物再悬浮的影响。速率参数Λ被定义为水的平均夏季温度和几个与泥沙侵蚀有关的参数的非线性函数。这是 VART-DOS 模型的一个新颖而独特的特征。基于敏感性分析,与沉积物再悬浮相比,BOD 和沉积物需氧量(SOD)对 DO 消耗的影响并不那么重要,因为在高流量期间,DO 水平可能会降低 83%。VART-DOS 模型应用于美国路易斯安那州的下阿密河,以在冬季 1 月和夏季 7 月进行 DO 波动的连续模拟,其中涉及几次洪水引起的沉积物再悬浮事件。模拟结果表明,VART-DOS 模型能够捕捉 DO 浓度的整体变化趋势。VART-DOS 模拟与观测 DO 水平之间的归一化均方根误差(RMSE)分别为 0.42(1 月)和 0.23(7 月),证明了 VART-DOS 模型的有效性。