Department of Civil and Environmental Engineering, Environmental and Water Studies, Stanford University , Stanford, California 94305, United States.
Environ Sci Technol. 2013 Oct 15;47(20):11554-61. doi: 10.1021/es402492f. Epub 2013 Oct 1.
Microbial pollutants from coastal discharges can increase illness risks for swimmers and cause beach advisories. There is presently no predictive model for estimating the entrainment of pollution from coastal discharges into the surf zone. We present a novel, quantitative framework for estimating surf zone entrainment of pollution at a wave-dominant open beach. Using physical arguments, we identify a dimensionless parameter equal to the quotient of the surf zone width l(sz) and the cross-flow length scale of the discharge la = M(j) (1/2)/U(sz), where M(j) is the discharge's momentum flux and U(sz) is a representative alongshore velocity in the surf zone. We conducted numerical modeling of a nonbuoyant discharge at an alongshore uniform beach with constant slope using a wave-resolving hydrodynamic model. Using results from 144 numerical experiments we develop an empirical relationship between the surf zone entrainment rate α and l(sz)/(la). The empirical relationship can reasonably explain seven measurements of surf zone entrainment at three diverse coastal discharges. This predictive relationship can be a useful tool in coastal water quality management and can be used to develop predictive beach water quality models.
沿海排放的微生物污染物会增加游泳者患病的风险,并导致海滩发布警报。目前还没有预测模型可以估算沿海排放物进入冲浪区的夹带量。我们提出了一种新颖的、定量的方法来估算波浪主导的开阔海滩的冲浪区污染物夹带量。我们使用物理论点,确定了一个无量纲参数,该参数等于冲浪区宽度 l(sz)与排放物的横向流动长度尺度 la 的商,其中 M(j) 是排放物的动量通量,U(sz) 是冲浪区的代表性沿岸速度。我们使用波浪解析水动力模型对具有恒定坡度的沿海水域的非浮力排放物进行了数值模拟。我们使用 144 次数值实验的结果,得出了冲浪区夹带率 α 与 l(sz)/(la) 之间的经验关系。该经验关系可以合理地解释在三个不同的沿海排放物中七个冲浪区夹带的测量结果。这种预测关系可以成为沿海水质管理的有用工具,并可用于开发预测性海滩水质模型。