Seismic hazard mapping and mitigation policy development in the central USA and western China
Seismic hazard mapping and mitigation policy development in the central USA and western China
复制标题
美国中部和中国西部地震灾害测绘和减灾政策制定
DOI:
10.1007/s11069-015-2086-y
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发表时间:
2016-03
期刊:
影响因子:
3.7
通讯作者:
Woolery Edward W
中科院分区:
文献类型:
--
作者:
Wang Zhenming;Orton Alice M;Wang Lanmin;Woolery Edward W
Communities need sound seismic hazard maps for formulating policies such as engineering design for buildings and other structures to reduce potential earthquake losses. However, developing scientifically sound seismic hazard maps is challenging because there are large inherent uncertainties and many unknowns (or even sheer ignorance). It is critical for any seismic hazard mapping that these uncertainties be quantified and communicated clearly to engineers, policy makers, and the public. Although probabilistic seismic hazard analysis (PSHA) has been the most widely used method for seismic hazard mapping, the hazard maps produced from PSHA are artifacts and difficult, even impossible, to understand because PSHA is a pure computer model without a sound earth science (physics) basis and its mathematics is simply wrong. The use of PSHA hazard maps has led to overly stringent engineering design and mitigation policies in the central USA, and unsafe engineering design and other mitigation policies in western China. On the other hand, the hazard maps derived from deterministic seismic hazard analysis (DSHA) or Neo-DSHA have a clear physical and statistical meaning and are easy to understand. Deterministic (or scenario) hazard maps have been proven to be effective. Thus, deterministic hazard maps are more appropriate for engineering design and other mitigation policy considerations in the central USA and western China, as well as other areas in the world.
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影响因子:
--
作者:
G. Panza;F. Romanelli;F. Vaccari
通讯作者:
G. Panza;F. Romanelli;F. Vaccari
DOI:
10.1130/2012.2493(13
发表时间:
2013
期刊:
--
影响因子:
--
作者:
Zhenming Wang;J. C. Cobb
通讯作者:
Zhenming Wang;J. C. Cobb
影响因子:
7.4
作者:
J. Klügel
通讯作者:
J. Klügel
影响因子:
2
作者:
E. Zuccolo;F. Vaccari;A. Peresan;G. Panza
通讯作者:
E. Zuccolo;F. Vaccari;A. Peresan;G. Panza
影响因子:
2
作者:
Zhenming Wang
通讯作者:
Zhenming Wang