Simplified residence time prediction models for constructed wetland water recycling systems

The experimental farmland–channel–wetland systems (FCWS) in Guilin, China have been recently designed based on wetland water recycling systems in Midwest USA. The present article develops a methodology for simplifying the prediction of residence time as a function of the flow rate and physical shape...

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Main Authors: Wei, Xiaohua, Wang, Xiugui, Dong, Bing, Li, Xinjian, Plappally, Anand K., Mao, Zhi, Brown, Larry C.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/100188
http://hdl.handle.net/10220/10966
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1001882020-03-07T11:43:40Z Simplified residence time prediction models for constructed wetland water recycling systems Wei, Xiaohua Wang, Xiugui Dong, Bing Li, Xinjian Plappally, Anand K. Mao, Zhi Brown, Larry C. School of Civil and Environmental Engineering Maritime Research Centre The experimental farmland–channel–wetland systems (FCWS) in Guilin, China have been recently designed based on wetland water recycling systems in Midwest USA. The present article develops a methodology for simplifying the prediction of residence time as a function of the flow rate and physical shape of these contaminant removal systems. A series of two-dimensional simulation studies on surface flow through FCWS wetland of different shapes are performed. Parameters influencing hydraulic characteristics such as empirical values of inlet and outlet flow conditions, and wetland shapes are utilized as inputs to the study. Roughness coefficient was assumed to be constant across the different wetland designs discussed in this article. The mean velocity values within the wetland decreases with increase in ratio of variant inlet widths and wetland inflow rates. The results from the simulation are used as inputs for performing a multivariate multiparameter regression algorithm. This framework models the residence time within the wetland independently as a function of shape, mass inflow, and inlet geometry. This simplified model can be used with ease to evaluate existing as well as new wetland system designs for potential improvement in its function of desalting and filtering waters. Published version 2013-07-05T02:17:37Z 2019-12-06T20:18:05Z 2013-07-05T02:17:37Z 2019-12-06T20:18:05Z 2013 2013 Journal Article Wei, X., Wang, X., Dong, B., Li, X., Plappally, A. K., Mao, Z., et al. (2013). Simplified residence time prediction models for constructed wetland water recycling systems. Desalination and Water Treatment, 51(7-9), 1494-1502. 1944-3994 https://hdl.handle.net/10356/100188 http://hdl.handle.net/10220/10966 10.1080/19443994.2012.708522 en Desalination and water treatment © 2013 Desalination Publications. This paper was published in Desalination and Water Treatment and is made available as an electronic reprint (preprint) with permission of Desalination Publications. The paper can be found at the following official DOI: [http://dx.doi.org/10.1080/19443994.2012.708522]. 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. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
description The experimental farmland–channel–wetland systems (FCWS) in Guilin, China have been recently designed based on wetland water recycling systems in Midwest USA. The present article develops a methodology for simplifying the prediction of residence time as a function of the flow rate and physical shape of these contaminant removal systems. A series of two-dimensional simulation studies on surface flow through FCWS wetland of different shapes are performed. Parameters influencing hydraulic characteristics such as empirical values of inlet and outlet flow conditions, and wetland shapes are utilized as inputs to the study. Roughness coefficient was assumed to be constant across the different wetland designs discussed in this article. The mean velocity values within the wetland decreases with increase in ratio of variant inlet widths and wetland inflow rates. The results from the simulation are used as inputs for performing a multivariate multiparameter regression algorithm. This framework models the residence time within the wetland independently as a function of shape, mass inflow, and inlet geometry. This simplified model can be used with ease to evaluate existing as well as new wetland system designs for potential improvement in its function of desalting and filtering waters.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Wei, Xiaohua
Wang, Xiugui
Dong, Bing
Li, Xinjian
Plappally, Anand K.
Mao, Zhi
Brown, Larry C.
format Article
author Wei, Xiaohua
Wang, Xiugui
Dong, Bing
Li, Xinjian
Plappally, Anand K.
Mao, Zhi
Brown, Larry C.
spellingShingle Wei, Xiaohua
Wang, Xiugui
Dong, Bing
Li, Xinjian
Plappally, Anand K.
Mao, Zhi
Brown, Larry C.
Simplified residence time prediction models for constructed wetland water recycling systems
author_sort Wei, Xiaohua
title Simplified residence time prediction models for constructed wetland water recycling systems
title_short Simplified residence time prediction models for constructed wetland water recycling systems
title_full Simplified residence time prediction models for constructed wetland water recycling systems
title_fullStr Simplified residence time prediction models for constructed wetland water recycling systems
title_full_unstemmed Simplified residence time prediction models for constructed wetland water recycling systems
title_sort simplified residence time prediction models for constructed wetland water recycling systems
publishDate 2013
url https://hdl.handle.net/10356/100188
http://hdl.handle.net/10220/10966
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