New model of chlorine-wall reaction for simulating chlorine concentration in drinking water distribution systems

被引:56
|
作者
Fisher, Ian [1 ]
Kastl, George [2 ]
Sathasivan, Arumugam [2 ]
机构
[1] Watervale Syst, POB 318, Potts Point, NSW 1335, Australia
[2] Western Sydney Univ, Sch Comp Engn & Math, Locked Bag 1797, Penrith, NSW 2791, Australia
关键词
Chlorine decay model; Wall-reaction rate; Bulk decay; System model; Biofilm; Mass-transport; BULK DECAY; PIPE WALL; TEMPERATURE; PROFILES;
D O I
10.1016/j.watres.2017.08.066
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate modelling of chlorine concentrations throughout a drinking water system needs sound mathematical descriptions of decay mechanisms in bulk water and at pipe walls. Wall-reaction rates along pipelines in three different systems were calculated from differences between field chlorine profiles and accurately modelled bulk decay. Lined pipes with sufficiently large diameters (>500 mm) and higher chlorine concentrations (>0.5 mg/L) had negligible wall-decay rates, compared with bulk decay rates. Further downstream, wall-reaction rate consistently increased (peaking around 0.15 mg/dm(2)/h) as chlorine concentration decreased, until mass-transport to the wall was controlling wall reaction. These results contradict wall-reaction models, including those incorporated in the EPANET software, which assume wall decay is of either zero-order (constant decay rate) or first-order (wall-decay rate reduces with chlorine concentration). Instead, results are consistent with facilitation of the wall reaction by biofilm activity, rather than surficial chemical reactions. A new model of wall reaction combines the effect of biofilm activity moderated by chlorine concentration and mass-transport limitation. This wall reaction model, with an accurate bulk chlorine decay model, is essential for sufficiently accurate prediction of chlorine residuals towards the end of distribution systems and therefore control of microbial contamination. Implementing this model in EPANET-MSX (or similar) software enables the accurate chlorine modelling required for improving disinfection strategies in drinking water networks. New insight into the effect of chlorine on biofilm can also assist in controlling biofilm to maintain chlorine residuals. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:427 / 437
页数:11
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