An Emergency Restoration Model for Water Supply Network Damage due to Earthquakes

Abstract

In this paper the two analytical models which predict damage, post-earthquake restoration strategies and its period of water supply pipeline network are presented. The detailed model evaluates emergency restoration period of water supply pipeline network using the actual network data and the several restoration strategies that was provided from the experiences of past earthquakes. The simplified model also evaluates restoration period by strategy restoring from the side of distribution reservoir using the 1 km grid data of pipeline length of pipe type and diameter estimated from population data of reference area and water-supply pipeline expansion data. Using actual data of water supply pipeline network of three waterworks bureaus in Japan, we studies the accuracy of grid data of the proposed pipeline length modeling of the simplified model. Finally the efficiency and accuracy of approximate restoration period using the simplified model are confirmed by comparing with the results of two models about damage estimates and restoration periods.

Case Study on Characteristics of Effect of Damage Reduction Measures Against Multiple Disasters of Earthquakes and Floods

“…It was assumed that the excess number of evacuees over the accommodating capacity of evacuation centers in the area were safely evacuated to outside of the area after the emergency road clearance. The technique for estimating the process of water recovery is further explained in, e.g., Nagata et al 17) , and similarly, the technique for the number of evacuees after failures of critical (life-support) systems in, e.g., Tokyo Metropolitan Government 18) . 9,500 55 1,700,000 1,700,000 1,200,000 240,000 84,000 1,500 450,000 460,000 320,000 690,000 550,000 320,000 180,000 250,000 330,000 In the area 180,000 250,000 320,000 Out of the area 510,000 290,000 0 In the area 180,000 84,000 1,500 Out of the area 60,000 0 0 1,500,000 1,600,000 1,900,000 1,900,000 2,100,000 2,200,000 2,600 1,700 19 * "Number of people in water outage" does not include "Number of people needing to be rescued".…”