Water for Urban Areas (UNU, 2000, 243 p.) |

8. Emergency water supply and disaster vulnerability |

Adequate water supplies can be assured (i.e. made reliable) via an optimum design programme involving: robust hardware, alternative flexible emergency response resources, redundant supplies and networks, and real-time control systems.

Although urban water supply systems are notable for the high degree of redundancy of their distribution networks, they are also, in a larger sense, significantly serial in nature. That is, many urban water supply systems are typically serially connected sub-systems, with many cities having only one major supply/watershed, connected by transmission along only one right-of-way, and with only one or a few treatment plants prior to connection to terminal reservoirs and the highly interconnected distribution system. Of course, each of these sub-systems (especially the distribution system) is more complex. For the overall serially connected system, or any of the sub-systems, two types of analysis can be performed:

(a)Connectivity analysesmeasure post-earthquake completeness, "connectedness," or "cut-ness" of links and nodes in a network. Such analyses ignore link, node, or system capacities and seek only to determine whether, or with what probability, a path remains operational between given sources and given destinations.(b)

Serviceability analysesseek an additional valuable item of information: if a path or paths connect selected nodes following an earthquake, what is the remaining, or residual, capacity between these nodes? The residual capacity is found mathematically by convolving link and node capacities with network "connectedness."

Thus, serviceability analyses seek to determine adequacy. For the simplest series system (assuming each element is independent),

the probability that Start will be

where

Using this type of analysis, the probability of
non-serviceability or failure, *P*_{F} = 1 - *P*_{s},
can be determined, and combined with the consequences of failure to determine
the expected cost of failure. For example, analyses may show that a number of
ignitions will occur as a result of an earthquake, and that these ignitions will
grow into a conflagration of dimensions such that *N *buildings and
property will be destroyed by the fire. If the analysis also determines that
*x *flow of water is required to prevent these ignitions from growing into
a conflagration, then the expected cost of failure given the event is _{}

where