Evaluation of E.coli losses in a tidal river network using a refined 1-D numerical model
Evaluation of E.coli losses in a tidal river network using a refined 1-D numerical model
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DOI：
10.1016/j.envsoft.2018.07.009
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发表时间：
2018-10
期刊：
影响因子：
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通讯作者：
Guoxian Huang;R. Falconer;B. Lin
中科院分区：
文献类型：
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作者：
Guoxian Huang;R. Falconer;B. Lin
预测管网中坐骨大肠杆菌（E.coli）的损失率是沐浴沃茨水管理所需的关键条件之一，经过充分验证的数值模型是用于预测区域沐浴水质的有效工具现场数据有限。本研究首先建立了一个独特的有限体积法（FVM）一维模型来求解具有多个移动驻点的河网中的物质输运过程。应用该模型预测了英国Ribble河网中大肠杆菌的浓度分布，该河网在潮汐子河网中普遍存在多滞点和不同流向的现象。模型的验证表明，该方法给出了合理的准确的解决方案。验证结果表明，模型预测值与实测流量、水位和E.对Ribble网络16个一年情景运行的分析表明，由于河流和河口地区复杂的河流流量模式和潮汐流，微咸水沃茨的衰减率相对较大，滞留时间较长，因此，E. coloncentrations的主要减少发生在河流和河口地区。
Predicting the rate ofEscherischia coli (E.coli)loss in a river network is one of the key conditions required in the management of bathing waters, with well verified numerical models being effective tools used to predict bathing water quality in regions with limited field data. In this study, a unique finite volume method (FVM) one-dimensional model is firstly developed to solve the mass transport process in river networks, with multiple moving stagnation points. The model is then applied to predict the concentration distribution ofE.coliin the river Ribble network, UK, where the phenomena of multiple stagnation points and different flow directions appear extensively in a tidal sub-channel network. Validation of the model demonstrates that the proposed method gives reasonably accurate solution. The verification results show that the model predictions generally agree well with measured discharges, water levels andE.coliconcentration values, with mass conservation of the solution reaching 99.0% within 12 days for the Ribble case. An analysis of 16 one-year scenario runs for the Ribble network shows that the main reduction inE.coliconcentrations occurs in the riverine and estuarine regions due to the relatively large decay rate in the brackish riverine waters and the long retention time, due to the complex river discharge patterns and the tidal flows in the regions.