Hydrosystems Engineering Uncertainty Analysis (McGraw-Hill Civil Engineering)

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Stochastic Hydrology and Hydraulics. Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.

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Regionalization of unit hydrograph Parameters: 2. Uncertainty analysis

Uncertainty analysis. Authors Authors and affiliations K. If this option is available: A "View Offer" button will be displayed on this page next to the shop's offer. Which payment methods do you accept? How long does delivery take?

Sankaran Mahadevan: Risk and Reliability Engineering & Management, Civil Engineering, Vanderbilt

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The aim of this book is to bring together these uncertainty analysis techniques in one book and to demonstrate their applications and limitations for a wide variety of hydrosystem engineering problems. Other books in this series. Scour Technology George W. Add to basket. Back cover copy Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.

Created by internationally respected authorities, Hydrosystems Engineering Uncertainty Analysis deals with the uncertainties inherent in engineering projects such as dams, levees, and storm sewer systems. Going beyond unpredictability in geophysical processes such as extreme rainfalls and floods, Drs. Tung and Yen address uncertainties arising from imperfect models, imprecise parameters, data errors, and other sources. The authors call on work in uncertainty analysis from the past two decades to provide and illustrate mathematical tools of varying sophistication available for quantifying the integrated effect of different uncertainties and making the uncertain more knowable.

Table of contents PrefaceAcknowledgmentsChapter 1. Uncertainties in Hydrosystems Engineering and ManagementChapter 2. Regression AnalysisChapter 4.