{"title":"Dynamic hydraulic models to study sedimentation in drinking water networks in detail","authors":"I. Pothof, E. Blokker","doi":"10.5194/DWES-5-87-2012","DOIUrl":null,"url":null,"abstract":"Sedimentation in drinking water networks can lead to discolouration complaints. A sufficient criterion to prevent sedimentation in the Dutch drinking water networks is a daily maximum velocity of 0.25 m s?1. Flushing experiments have shown that this criterion is a sufficient condition for a clean network, but not a necessary condition. Drinking water networks include many locations with a maximum velocity well below 0.25 m s?1 without accumulated sediments. Other criteria need to be developed to predict which locations are susceptible to sedimentation and to prevent sedimentation in future networks. More distinctive criteria are helpful to prioritise flushing operations and to prevent water quality complaints. The authors use three different numerical modelling approaches – quasi-steady, rigid column and water hammer – with a temporal discretisation of 1 s in order to assess the influence of unsteady flows on the wall shear stress, causing resuspension of sediment particles. The model predictions are combined with results from flushing experiments in the drinking water distribution system of Purmerend, the Netherlands. The waterhammer model does not result in essentially different flow distribution patterns, compared to the rigid column and quasi-steady modelling approach. The extra information from the waterhammer model is a velocity oscillation of approximately 0.02 m s?1 around the quasi-steady solution. The presence of stagnation zones and multiple flow direction reversals seem to be interesting new parameters to predict sediment accumulation, which are consistent with the observed turbidity data and theoretical considerations on critical shear stresses.","PeriodicalId":53581,"journal":{"name":"Drinking Water Engineering and Science","volume":"5 1","pages":"87-92"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5194/DWES-5-87-2012","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drinking Water Engineering and Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/DWES-5-87-2012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 15
Abstract
Sedimentation in drinking water networks can lead to discolouration complaints. A sufficient criterion to prevent sedimentation in the Dutch drinking water networks is a daily maximum velocity of 0.25 m s?1. Flushing experiments have shown that this criterion is a sufficient condition for a clean network, but not a necessary condition. Drinking water networks include many locations with a maximum velocity well below 0.25 m s?1 without accumulated sediments. Other criteria need to be developed to predict which locations are susceptible to sedimentation and to prevent sedimentation in future networks. More distinctive criteria are helpful to prioritise flushing operations and to prevent water quality complaints. The authors use three different numerical modelling approaches – quasi-steady, rigid column and water hammer – with a temporal discretisation of 1 s in order to assess the influence of unsteady flows on the wall shear stress, causing resuspension of sediment particles. The model predictions are combined with results from flushing experiments in the drinking water distribution system of Purmerend, the Netherlands. The waterhammer model does not result in essentially different flow distribution patterns, compared to the rigid column and quasi-steady modelling approach. The extra information from the waterhammer model is a velocity oscillation of approximately 0.02 m s?1 around the quasi-steady solution. The presence of stagnation zones and multiple flow direction reversals seem to be interesting new parameters to predict sediment accumulation, which are consistent with the observed turbidity data and theoretical considerations on critical shear stresses.
饮用水网中的沉淀物会引起变色投诉。在荷兰的饮用水网络中,防止沉积的一个充分标准是每日最大流速为0.25 m s?1。冲洗实验表明,该准则是清洁网络的充分条件,但不是必要条件。饮用水网络包括许多最大流速远低于0.25 m / s的地点。1 .无沉积物堆积。需要制定其他标准,以预测哪些地点容易淤积,并防止未来水网淤积。制订更有特色的准则,有助安排冲厕作业的先后次序,以及防止有关水质的投诉。作者使用三种不同的数值模拟方法-准稳定、刚性柱和水锤-具有1 s的时间离散,以评估非定常流对壁面剪切应力的影响,导致泥沙颗粒的再悬浮。模型预测与荷兰Purmerend饮用水分配系统的冲洗实验结果相结合。与刚性柱和准稳态建模方法相比,水锤模型没有产生本质上不同的流动分布模式。来自水锤模型的额外信息是大约0.02 m / s的速度振荡。1绕准稳态解。停滞带和多次水流方向逆转的存在似乎是预测沉积物堆积的有趣的新参数,这与观测到的浊度数据和临界剪应力的理论考虑一致。