Comparative analysis of hydrodynamics of treatment wetlands using finite volume models with empirical data
Sharma, Rakesh Kumar
Brown, Larry C.
Date of Issue2014
School of Civil and Environmental Engineering
A numerical visualization study of wetlands is detailed in this article using finite volume methods. The aim of this study is to model treatment efficiency of the wetlands in terms of the residence time distribution function. Shape and depth of wetlands are critically analysed to find the optimal flow requirement for effective treatment. Laminar three-dimensional flow dynamics is used to simulate the slow water flows that occur in treatment wetlands. Slow inlet flows are assumed. Dye is used as the tracer to characterize the hydrodynamics within the wetlands. Three different geometrical configurations, namely square, square with two islands, and triangle, respectively, are simulated. The variation in the tracer concentration is studied as a function of recirculation volumes, flow rates, time and depth of the wetland for each of the wetland shapes. The change in the variation of tracer concentration at inlet and exit helps to assess treatment effectiveness. In another case, glycerine is used to simulate sewage flow. Plug flow is prominent in sewage-laden wetlands. The results obtained from the above-illustrated case studies are compared with each other to assess the reproducibility of the optimal flow model. Multi-parameter regression models for residence time distribution functions are derived to characterize flow through constructed wetlands of different shapes.
DRNTU::Engineering::Environmental engineering::Water treatment
Desalination and water treatment
© 2014 Balaban Desalination Publications. This paper was published in Desalination and Water Treatment and is made available as an electronic reprint (preprint) with permission of Balaban Desalination Publications. The paper can be found at the following official DOI: [http://dx.doi.org/10.1080/19443994.2014.957957]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.