In designing water distribution networks (WDN) against emergency situations
, efforts must be made to achieve two objectives: maximizing reliability an
d minimizing cost. For such optimization, it is necessary first to quantify
the reliability of WDN using a surrogate measure. Hydraulic-connectivity i
s selected as a surrogate measure in this study, which indicates a probabil
ity that every demand node in a network is connected to at least one supply
source with required flow at adequate pressure. An optimization model usin
g hydraulic-connectivity and the genetic algorithm (GA) is formulated. For
illustration, the optimization model is applied to the New York City water
supply tunnel. This tunnel cannot satisfy the minimum pressure with existin
g diameters. The new optimal design with required flow at adequate pressure
is found to be lower than the existing tunnel cost by US$25.252 million wh
en the hydraulic-connectivity is 0.9778. It is also noted that this approac
h allows the exploration of the trade-off between cost and reliability dire
ctly. This permits designers to design WDN based on more quantitative infor
mation regarding cost and reliability.