Scarlatos P D
Department of Ocean Engineering, Florida Atlantic University, Boca Raton 33431, USA.
Water Sci Technol. 2001;44(7):9-16.
This study is focused on the investigation of the sources, distribution and fate of fecal coliform populations in the North Fork of the New River that flows through the City of Fort Lauderdale, Florida, USA. The dynamics of this brackish river are driven by weak tides, regulated freshwater discharges, overland runoff, storm water drainage from sewers, and groundwater exchange. Extensive field studies failed to document any alleged source(s) of contamination, including birds, domesticated and undomesticated mammals, humans, septic tank leakage, urban runoff, non-point discharges from agricultural lands, waste disposal from live-aboard vessels and/or in situ re-growth of fecal coliform. In order to facilitate field sampling, and support the data analyses efforts, computer simulations were applied to assess the likelihood of the various possible pollution scenarios. The physically based computer model used is the WASP (Water Quality Analysis Simulation Program Modeling System) of the US Environmental Protection Agency. In addition, the Neural Network MATLAB Toolbox was utilized for data analysis. WASP was able to accurately simulate the water hydrodynamics and coliform concentrations within the North Fork, while the neural network assisted in identifying correlations between fecal coliform and the various parameters involved. The numerical results supported the conclusion that fecal coliform were introduced by the animal populations along the riverbanks and by storm water washout of the adjacent drainage basins and the banks. The problem is exaggerated due to the low flashing capacity of the river.
本研究聚焦于对流经美国佛罗里达州劳德代尔堡市的新河(New River)北支流中粪大肠菌群的来源、分布和归宿进行调查。这条微咸河的动态变化受弱潮汐、调节后的淡水排放、地表径流、下水道雨水排水以及地下水交换驱动。广泛的实地研究未能记录到任何所谓的污染源,包括鸟类、家养和野生哺乳动物、人类、化粪池泄漏、城市径流、农田面源排放、住家船废物处理和/或粪大肠菌群的原位再生长。为便于实地采样并支持数据分析工作,应用了计算机模拟来评估各种可能污染情景的可能性。所使用的基于物理的计算机模型是美国环境保护局的WASP(水质分析模拟程序建模系统)。此外,利用神经网络MATLAB工具箱进行数据分析。WASP能够准确模拟北支流内的水流动力学和大肠菌群浓度,而神经网络则有助于识别粪大肠菌群与所涉及的各种参数之间的相关性。数值结果支持了以下结论:粪大肠菌群是由河岸沿线的动物种群以及相邻排水流域和河岸的雨水冲刷带入的。由于河流的低泄洪能力,问题被放大了。