TY - GEN
T1 - An Early Warning Detection System (EWDS) for Drinking Water Distribution Systems Security
AU - Ostfeld, Avi
AU - Salomons, Elad
PY - 2003
Y1 - 2003
N2 - Since September 11, 2001 the US EPA's water protection task force and regional offices have initiated massive actions to improve the security of drinking water infrastructure. This paper deals with the development and application of a methodology for finding the optimal layout of a detection system, taking explicitly into account the unsteady hydraulics, and the dilution and decay properties of the water quality constituents as distributed with flow. The detection system outcome is a set of monitoring stations aimed at capturing contaminant entries within a pre-specified level of service, defined as the maximum volume of polluted water exposure to public at a concentration higher than a minimum hazard level. The detection system provides an early warning system for a deliberate terrorist external hazard intrusion - a problem that currently has not been solved. The methodology is casted in a genetic algorithm framework tailored made with EPANET. An example application for Anytown U.S.A. is provided.
AB - Since September 11, 2001 the US EPA's water protection task force and regional offices have initiated massive actions to improve the security of drinking water infrastructure. This paper deals with the development and application of a methodology for finding the optimal layout of a detection system, taking explicitly into account the unsteady hydraulics, and the dilution and decay properties of the water quality constituents as distributed with flow. The detection system outcome is a set of monitoring stations aimed at capturing contaminant entries within a pre-specified level of service, defined as the maximum volume of polluted water exposure to public at a concentration higher than a minimum hazard level. The detection system provides an early warning system for a deliberate terrorist external hazard intrusion - a problem that currently has not been solved. The methodology is casted in a genetic algorithm framework tailored made with EPANET. An example application for Anytown U.S.A. is provided.
UR - http://www.scopus.com/inward/record.url?scp=0942279352&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0942279352
SN - 0784406855
T3 - World Water and Environmental Resources Congress
SP - 283
EP - 289
BT - World Water and Environmental Resources Congress
A2 - Bizier, P.
A2 - DeBarry, P.
T2 - World Water and Environmental Resources Congress 2003
Y2 - 23 June 2003 through 26 June 2003
ER -
