Modeling residual chlorine response to a microbial contamination event in drinking water distribution systems.

Changes in chlorine residual concentrations in water distribution systems could be used as an indicator of microbial contamination. Consideration is given on how to model the behavior of chlorine within the distribution system following a microbial contamination event. Existing multispecies models require knowledge of specific reaction kinetics that are unlikely to be known. A method to parameterize a rate expression describing microbially induced chlorine decay over a wide range of conditions based on a limited number of batch experiments is described. This method is integrated into EPANET-MSX using the programmer’s toolkit. The model was used to simulate a series of microbial contamination events in a small community distribution system. Results of these simulations showed that changes in chlorine induced by microbial contaminants can be observed throughout a network at nodes downstream from and distant to the contaminated node. Some factors that promote or inhibit the transport of these chlorine demand...

[1]  Christopher Y. Choi,et al.  Mixing at Cross Junctions in Water Distribution Systems. II: Experimental Study , 2008 .

[2]  P. Vieira,et al.  Accounting for the influence of initial chlorine concentration, TOC, iron and temperature when modelling chlorine decay in water supply , 2004 .

[3]  J. Vanbriesen,et al.  Continuous monitoring of residual chlorine concentrations in response to controlled microbial intrusions in a laboratory-scale distribution system. , 2008, Water research.

[4]  E. Cohen Making the Nation Safer: The Role of Science and Technology in Countering Terrorism , 2002 .

[5]  Richard J Gelting,et al.  Surveillance for waterborne disease and outbreaks associated with drinking water and water not intended for drinking--United States, 2003-2004. , 2006, Morbidity and mortality weekly report. Surveillance summaries.

[6]  Roy C. Haught,et al.  On–Line water quality parameters as indicators of distribution system contamination , 2007 .

[7]  Mitchell J. Small,et al.  Vulnerability Assessment of a Drinking Water Distribution System: Implications for Public Water Utilities , 2007 .

[8]  Andreas Krause,et al.  Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks , 2008 .

[9]  Richard G Luthy Bioterrorism and water security. , 2002, Environmental science & technology.

[10]  Feng Shang,et al.  Modeling reaction and transport of multiple species in water distribution systems. , 2008, Environmental science & technology.

[11]  H. Akaike A new look at the statistical model identification , 1974 .

[12]  Mitchell J. Small,et al.  Identifying Sets of Key Nodes for Placing Sensors in Dynamic Water Distribution Networks , 2008 .

[13]  Robert M. Clark,et al.  Modeling Chlorine Residuals in Drinking‐Water Distribution Systems , 1994 .

[14]  Cynthia A. Phillips,et al.  Sensor Placement in Municipal Water Networks with Temporal Integer Programming Models , 2006 .

[15]  Robert M. Clark,et al.  Modeling contaminant propagation in drinking-water distribution systems , 1993 .

[16]  A. Heitz,et al.  A new method for calculation of the chlorine demand of natural and treated waters. , 2006, Water research.

[17]  C F Forster,et al.  The decay of chlorine associated with the pipe wall in water distribution systems. , 2002, Water research.

[18]  Charles N. Haas,et al.  Kinetics of wastewater chlorine demand exertion , 1984 .

[19]  J. Vanbriesen,et al.  Free chlorine demand and cell survival of microbial suspensions. , 2007, Water research.

[20]  Avi Ostfeld,et al.  The Battle of the Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms , 2008 .

[21]  Christopher Y. Choi,et al.  Mixing at Cross Junctions in Water Distribution Systems. I: Numerical Study , 2008 .

[22]  J. Vanbriesen,et al.  Booster Disinfection for Response to Contamination in a Drinking Water Distribution System , 2009 .

[23]  Kenneth Carlson,et al.  Expanded Summary: Real‐time detection of intentional chemical contamination IN THE DISTRIBUTION SYSTEM , 2005 .

[24]  Cynthia A. Phillips,et al.  Sensor Placement in Municipal Water Networks , 2003 .

[25]  David Byer,et al.  Real‐time detection of intentional chemical contamination in the distribution system , 2005 .

[26]  R. Clark,et al.  Predicting Chlorine Residuals in Drinking Water: Second Order Model , 2002 .

[27]  A. E. Greenberg,et al.  Standard methods for the examination of water and wastewater : supplement to the sixteenth edition , 1988 .

[28]  S. Condón,et al.  Relationship between inactivation kinetics of a Listeria monocytogenes suspension by chlorine and its chlorine demand , 2004, Journal of applied microbiology.

[29]  C. F. Forster,et al.  Performance of Various Kinetic Models for Chlorine Decay , 2000 .

[30]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[31]  Avi Ostfeld,et al.  Optimal Layout of Early Warning Detection Stations for Water Distribution Systems Security , 2004 .

[32]  C. F. Forster,et al.  Factors which control bulk chlorine decay rates , 2000 .

[33]  James G Uber,et al.  A reactive species model for chlorine decay and THM formation under rechlorination conditions. , 2003, Water research.