Scientific Results

  • ID:
    publications-4184
  • Type:
    article
  • Year:
    2008
  • Authors:
    Baranowski, T. M. and Baranowski, T. M. and LeBoeuf, Eugene J. and LeBoeuf, Eugene J.
  • Title:
    Consequence Management Utilizing Optimization
  • Venue/Journal:
    Journal of Water Resources Planning and Management
  • DOI:
    10.1061/(asce)0733-9496(2008)134:4(386)
  • Research type:
  • Water System:
  • Technical Focus:
  • Abstract:
    Following the identification of a contaminant in a water distribution network, a variety of response actions must be examined in order to implement the most beneficial consequence management strategy. Optimization techniques can be employed to determine the cost/benefit of reducing impacts to the network from contamination by isolating and/or flushing the system. In this current effort, we employ a genetic algorithm to minimize contaminant concentrations in a network while minimizing the cost of demand alteration. Application of this technique to two relatively simple networks demonstrates the usefulness of this optimization method as a consequence management strategy to reduce contaminant concentration. For the EPANET Example 1 network, the optimal response solution included closure of two pipes and alteration of the demand at one node, reducing the total network concentration by 95\%, with a 73\% increase in total network demand. For the Anytown network, the optimal response solution included altering the demand at four nodes, which resulted in a 12\% increase in total network demand, while closing four pipes reduced the total network concentration by 54\%.
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