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Transport phenomena in drinking water systems.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
書名/作者:	Transport phenomena in drinking water systems.
作者:	Romero-Gomez, Pedro.
面頁冊數:	111 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-02, Section: B, page: 0894.
Contained By:	Dissertation Abstracts International71-02B.
標題:	Engineering, Civil.
標題:	Water Resource Management.
ISBN:	9781109606133
摘要、提要註:	The current computer models used for simulating water quality in potable water distribution systems assume perfect mixing at pipe junctions and non-dispersive solute transport in pipe flows. To improve the prediction accuracy, the present study examines and expands these modeling assumptions using transport phenomena analyses. Whereas the level of solute mixing at a cross-type junction is evaluated numerically via Computational Fluid Dynamics (CFD), the axial transport in laminar flows is investigated with both CFD simulations and corresponding experimental runs in a single pipe. The findings show that solute mixing at junctions is rather incomplete owing to the limited spatio-temporal interaction that occurs between incoming flows with different qualities. Incomplete mixing shifts the expected propagation patterns of a chemical or microbial constituent from widely-spread to narrowly-concentrated over the service area. On the other hand, solute dispersion is found to prevail over advective transport in laminar pipe flows. Thus, this work develops axial dispersion rates through parameter optimization techniques. By accounting for axial dispersive effects, the patterns of solute delivery shifted from high concentrations over short time periods to lower doses at prolonged exposure times. In addition, the present study integrates the incomplete mixing model into the optimal placement of water quality monitoring stations aimed at detecting contaminant intrusions.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3390710

Transport phenomena in drinking water systems.
Romero-Gomez, Pedro.

Transport phenomena in drinking water systems. - 111 p.

Source: Dissertation Abstracts International, Volume: 71-02, Section: B, page: 0894.

Thesis (Ph.D.)--The University of Arizona, 2010.

The current computer models used for simulating water quality in potable water distribution systems assume perfect mixing at pipe junctions and non-dispersive solute transport in pipe flows. To improve the prediction accuracy, the present study examines and expands these modeling assumptions using transport phenomena analyses. Whereas the level of solute mixing at a cross-type junction is evaluated numerically via Computational Fluid Dynamics (CFD), the axial transport in laminar flows is investigated with both CFD simulations and corresponding experimental runs in a single pipe. The findings show that solute mixing at junctions is rather incomplete owing to the limited spatio-temporal interaction that occurs between incoming flows with different qualities. Incomplete mixing shifts the expected propagation patterns of a chemical or microbial constituent from widely-spread to narrowly-concentrated over the service area. On the other hand, solute dispersion is found to prevail over advective transport in laminar pipe flows. Thus, this work develops axial dispersion rates through parameter optimization techniques. By accounting for axial dispersive effects, the patterns of solute delivery shifted from high concentrations over short time periods to lower doses at prolonged exposure times. In addition, the present study integrates the incomplete mixing model into the optimal placement of water quality monitoring stations aimed at detecting contaminant intrusions.

ISBN: 9781109606133Subjects--Topical Terms:

423226
Engineering, Civil.

Transport phenomena in drinking water systems.
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100 1 $a Romero-Gomez, Pedro. $3 423290
245 1 0 $a Transport phenomena in drinking water systems.
300 $a 111 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-02, Section: B, page: 0894.
500 $a Adviser: Christopher Y. Choi.
502 $a Thesis (Ph.D.)--The University of Arizona, 2010.
520 $a The current computer models used for simulating water quality in potable water distribution systems assume perfect mixing at pipe junctions and non-dispersive solute transport in pipe flows. To improve the prediction accuracy, the present study examines and expands these modeling assumptions using transport phenomena analyses. Whereas the level of solute mixing at a cross-type junction is evaluated numerically via Computational Fluid Dynamics (CFD), the axial transport in laminar flows is investigated with both CFD simulations and corresponding experimental runs in a single pipe. The findings show that solute mixing at junctions is rather incomplete owing to the limited spatio-temporal interaction that occurs between incoming flows with different qualities. Incomplete mixing shifts the expected propagation patterns of a chemical or microbial constituent from widely-spread to narrowly-concentrated over the service area. On the other hand, solute dispersion is found to prevail over advective transport in laminar pipe flows. Thus, this work develops axial dispersion rates through parameter optimization techniques. By accounting for axial dispersive effects, the patterns of solute delivery shifted from high concentrations over short time periods to lower doses at prolonged exposure times. In addition, the present study integrates the incomplete mixing model into the optimal placement of water quality monitoring stations aimed at detecting contaminant intrusions.
520 $a Keywords: drinking water, model, quality, axial dispersion, mixing, sensor location.
590 $a School code: 0009.
650 4 $a Engineering, Civil. $3 423226
650 4 $a Water Resource Management. $3 423292
690 $a 0543
690 $a 0595
710 2 $a The University of Arizona. $b Agricultural & Biosystems Engineering. $3 423291
773 0 $t Dissertation Abstracts International $g 71-02B.
790 1 0 $a Choi, Christopher Y., $e advisor
790 1 0 $a Kacira, Murat $e committee member
790 1 0 $a Riley, Mark R. $e committee member
790 1 0 $a Lansey, Kevin E. $e committee member
790 1 0 $a Pepper, Ian L. $e committee member
790 $a 0009
791 $a Ph.D.
792 $a 2010
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