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Titlebook: Engineering Decisions for Life Quality; How Safe is Safe Eno J. S. Nathwani,N. C. Lind,M. D. Pandey Book 2009 Springer-Verlag London 2009 D

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发表于 2025-3-21 19:40:10 | 显示全部楼层 |阅读模式
书目名称Engineering Decisions for Life Quality
副标题How Safe is Safe Eno
编辑J. S. Nathwani,N. C. Lind,M. D. Pandey
视频video
概述Presents a rational procedure to assess public risks on a universal yardstick such that the outcome is in the public interest.Includes supplementary material:
丛书名称Springer Series in Reliability Engineering
图书封面Titlebook: Engineering Decisions for Life Quality; How Safe is Safe Eno J. S. Nathwani,N. C. Lind,M. D. Pandey Book 2009 Springer-Verlag London 2009 D
描述.Engineering Decisions for Life Quality: How Safe is Safe Enough?. provides a foundation and a theoretical basis for managing risk to an acceptable level under the real-world constraint of limited resources. The focus is not on risks as such, but on what can be done to maximize the positive outcomes of risk in terms of improvements to the quality of life....The principal focus of .Engineering Decisions for Life Quality: How Safe is Safe Enough?. is on the development of guidance for establishing rational standards of practice. Standards should meet the requirement of utilizing resources to achieve the maximum net overall benefit to society within society’s capacity to commit such resources....The ideas discussed within this book will be of interest to engineers; advanced undergraduate and graduate students; public health officials; and risk specialists..
出版日期Book 2009
关键词Decision-making; Life Quality Index (LQI); Managing Risk; Public Health; RM; Societal Capacity to Commit
版次1
doihttps://doi.org/10.1007/978-1-84882-602-1
isbn_softcover978-1-4471-2511-2
isbn_ebook978-1-84882-602-1Series ISSN 1614-7839 Series E-ISSN 2196-999X
issn_series 1614-7839
copyrightSpringer-Verlag London 2009
The information of publication is updating

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Judging Risks Using the Life Quality Method,l impacts on individual welfare and the quality of life. The approach transcends traditional cost–benefit analysis by drawing into account demographics, economic productivity, and life safety impacts. Here we illustrate the computational procedures required to develop the guidance in practical conte
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Optimal Design of a Flood Protection Levee, designed to a fuzzy quantity called the PMF (“probable” maximum flood). Proper probabilistic design is preferable, but it requires that hydrological data be translated into a . flood probability distribution. It is inadequate merely to do a conventional estimation of the distribution, since the app
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https://doi.org/10.1007/978-3-658-41635-5 Work creates wealth, but it also adds to, and creates, risk to life, health, and the environment. We take a good portion of that wealth and use it to reduce those risks. How big should that portion be, and how should it be distributed over the hundreds of risk-reducing options? We can answer this q
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