平成23年度第2回総合防災セミナーのご案内

総合防災研究グループでは、平成23年度の第2回総合防災セミナーを下記の要領で開催しますので、ご案内させていただきます。お誘い合わせの上、是非ご参加いただきますようお願い申し上げます。

 

日時:
Date:

平成23年12月2日(金)14:00-17:00
Dec. 2, 2011 (Fri.) 14:00-17:00

場所:
Venue:

京都大学宇治キャンパス 防災研究所連携研究棟ホール(アクセスマップ)(構内地図
Kyoto Univ., Uji Campus, DPRI RENKEI KENKYU TOU (former Research Center for Disaster Reduction Systems Building, see No.5 of Campus Map), 3F Seminar Room (Access Map) (Campus Map)

プログラム:
Program:

14:30 - 15:30

 
 

講演者:
Lecturer:

Dr. Ariane Ducellier, engineer
BRGM, Risks Division, Seismic Risk unit

 

講演タイトル:
Theme:

On the use of average horizontal to vertical spectral ratios of earthquake data for one dimensional velocity structure inversion

 

講演概要:
Abstract:

Site effects are of great importance in seismology and earthquake engineering because they modify the frequency content of the incident wave and lead to an amplification of the wave propagating inside the site. As a result, the damage pattern of the engineering structures is often linked to the subsurface geology. The aim of this study is to carry out a detailed wave propagation analysis of one dimensional soil columns, in order to obtain quantitative physical parameters, e.g. shear-wave velocity, pressure-wave velocity and thickness of soil layers.
In this study, we consider elastic media and flat layered sites and we restrict ourselves to deep earthquake sources with small epicentral distances. The surface waves can then be neglected and the illumination can be conceived as produced by incident plane waves. In that case, the average of normalized ground motion spectral densities will depend only on depth and a one dimensional description of wave propagation for a diffuse field of ground motions can be applied. In the diffuse field formalism, average strong motion horizontal to vertical spectral ratio is related to the ratio of horizontal and vertical transfer function for a plane, vertically incident wave (Kawase et al., 2011).
A Genetic Algorithm is then used to perform inversions of soil columns for sites from KiK-net and K-NET networks in the Tohoku region, in order to demonstrate the validity of the method.

15:30 - 17:00

 
 

講演者:
Lecturer:

京都大学防災研究所巨大災害研究センター 国際災害情報ネットワーク研究領域 William Siembieda 客員教授
Dr. Prof. William Siembieda (DPRI)

 

講演タイトル:
Theme:

Resiliency and Adaptation: How San Francisco and Berkeley California Protect Themselves

 

講演概要:
Abstract:

Two municipal level risk adaptation models in the cities of San Francisco and Berkeley California are analyzed in this paper. Berkeley focuses on creating a resilient built environment (structural policy) and a resilient local population (behavioral policy), while San Francisco focuses on a resilient government structure that is fiscally sound and adaptable to post-event needs (administrative policy). These are two different models seeking similar outcomes. The Berkeley approach addresses the seismic risks in the built environment by retrofitting older public and private buildings. It addresses the natural environment through fire protection schemes. It addresses the social environment through building in citizen needs through participation on public boards and through neighborhood-level training and support. It addresses institutional capacity through integration in plans and programs. The City of San Francisco creates a program directed at identifying opportunities for rapid recovery after an event. The San Francisco project actions range from fiscal resiliency through designing post-event budgets; creating “earthquake proof” credit instruments, labor agreements with unions to suspend work rules in post-event periods; and ways to reorganize government agencies to address post-event needs. This paper describes the organizational environment that supports these approaches and the major planning decisions taken by a bottoms-up versus a top-down approach.

お問い合わせ:
Contact :

 

無料。どなたでも聴講いただけます。お申し込みの必要はありません。

お問い合わせは下記担当までお願いいたします。

 京都大学防災研究所巨大災害研究センター 鈴木 進吾
 TEL:0774-38-4284 Eメール:shingoのあとに@drs.dpri.kyoto-u.ac.jpをつけてください

     
Copyright 2011 Disaster Prevention Research Institute, Kyoto University. All rights reserved.