Peleg Eshel, Teitelbaum Yoni, Arnon Shai
Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel.
Zuckerberg Institute for Water Research, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Israel.
Water Res. 2024 Feb 1;249:120952. doi: 10.1016/j.watres.2023.120952. Epub 2023 Nov 30.
Microplastics (MP) of all sizes and densities have been found deposited in streambeds. Several delivery processes were proposed to explain these observations. However, none of the previous studies explored these processes systematically, especially in cases of streambeds made of fine sediments that are regularly in motion. In this study, we quantified the effect of streambed motion on the deposition and accumulation of MP in streambed sediments using particle tracking simulations in a numerical flow and transport model. The model was run for streamwater velocities of 0.1-0.5 m s and median grain sizes of 0.15-0.6 mm. Streambed morphodynamics were estimated from these input parameters using empirical relationships. MP propensity to become trapped in porous media was simulated using a filtration coefficient. For each grain size and streamwater velocity, a wide variety of filtration coefficients was used in simulations in order to predict the fate of particles in the sediment. We found that exchange due to sediment turnover leads to burial and long-term deposition of MP that originally were not expected to enter the bed due to size exclusion. The results also show that in streambeds with fine sediments, localized deposits of MP are expected to occur as a horizontal layer below the moving fraction of the bed (upper layer). However, increasing celerity reduces the depth of MP deposition in the streambed. We conclude that models that do not include the effect of bed motion on MP deposition are likely miscalculating the deposition, retention, resuspensions and long-term accumulation of MP in streambed sediments.
各种尺寸和密度的微塑料(MP)已被发现沉积在河床中。人们提出了几种输送过程来解释这些观测结果。然而,以前的研究都没有系统地探讨这些过程,特别是在由经常处于运动状态的细颗粒沉积物构成的河床情况下。在本研究中,我们使用数值水流和输运模型中的粒子追踪模拟,量化了河床运动对MP在河床沉积物中沉积和积累的影响。该模型针对0.1 - 0.5米/秒的河水速度和0.15 - 0.6毫米的中值粒径运行。利用经验关系从这些输入参数估算河床形态动力学。使用过滤系数模拟MP被困在多孔介质中的倾向。对于每个粒径和河水速度,在模拟中使用了各种各样的过滤系数,以便预测沉积物中颗粒的归宿。我们发现,由于沉积物周转导致的交换会使原本因尺寸排斥而预计不会进入河床的MP被掩埋并长期沉积。结果还表明,在有细颗粒沉积物的河床中,MP的局部沉积物预计会在河床移动部分(上层)下方以水平层的形式出现。然而,流速增加会减少MP在河床中的沉积深度。我们得出结论,不包括河床运动对MP沉积影响的模型可能会错误计算MP在河床沉积物中的沉积、滞留、再悬浮和长期积累情况。