Literature DB >> 24675269

Experimental testing and modeling analysis of solute mixing at water distribution pipe junctions.

Yu Shao1, Y Jeffrey Yang2, Lijie Jiang3, Tingchao Yu3, Cheng Shen3.   

Abstract

Flow dynamics at a pipe junction controls particle trajectories, solute mixing and concentrations in downstream pipes. The effect can lead to different outcomes of water quality modeling and, hence, drinking water management in a distribution network. Here we have investigated solute mixing behavior in pipe junctions of five hydraulic types, for which flow distribution factors and analytical equations for network modeling are proposed. First, based on experiments, the degree of mixing at a cross is found to be a function of flow momentum ratio that defines a junction flow distribution pattern and the degree of departure from complete mixing. Corresponding analytical solutions are also validated using computational-fluid-dynamics (CFD) simulations. Second, the analytical mixing model is further extended to double-Tee junctions. Correspondingly the flow distribution factor is modified to account for hydraulic departure from a cross configuration. For a double-Tee(A) junction, CFD simulations show that the solute mixing depends on flow momentum ratio and connection pipe length, whereas the mixing at double-Tee(B) is well represented by two independent single-Tee junctions with a potential water stagnation zone in between. Notably, double-Tee junctions differ significantly from a cross in solute mixing and transport. However, it is noted that these pipe connections are widely, but incorrectly, simplified as cross junctions of assumed complete solute mixing in network skeletonization and water quality modeling. For the studied pipe junction types, analytical solutions are proposed to characterize the incomplete mixing and hence may allow better water quality simulation in a distribution network. Published by Elsevier Ltd.

Entities:  

Keywords:  Cross junctions; Double-Tee junctions; Drinking water distribution; Solute mixing; Water quality modeling

Mesh:

Substances:

Year:  2014        PMID: 24675269     DOI: 10.1016/j.watres.2014.02.053

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  2 in total

1.  Mixing at double-Tee junctions with unequal pipe sizes in water distribution systems.

Authors:  Tingchao Yu; Hongying Qiu; Jeffrey Yang; Yu Shao; Liang Tao
Journal:  Water Sci Technol Water Supply       Date:  2016-05-21       Impact factor: 1.033

2.  Demand-Driven Spatiotemporal Variations of Flow Hydraulics and Water Age by Comparative Modeling Analysis of Distribution Network.

Authors:  Yingying Zhao; Y Jeffrey Yang; Yu Shao; Yeongho Lee; Tuqiao Zhang
Journal:  J Water Resour Plan Manag       Date:  2018       Impact factor: 3.054

  2 in total

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