LDR   03715nam^^22003253a^4500
001        FI15060992_00001
005        20171020112604.0
006        m^^^^^o^^d^^^^^^^^
007        cr^^n^---ma^mp
008        150623n^^^^^^^^xx^||||^o^^^^^|||^u^eng^d
024 7    |a 10.1061 |2 doi
245 00 |a Revisiting the Concepts of Return Period and Risk for Nonstationary Hydrologic Extreme Events |h [electronic resource].
260        |a [S.l.] : |b American Society of Civil Engineers, |c 2012-10-03.
490        |a American Society of Civil Engineers Journal of Hydrologic Engineering.
506        |a Please contact the owning institution for licensing and permissions. It is the user's responsibility to ensure use does not violate any third party rights.
520 3    |a Current practice using probabilistic concepts and methods applied for designing hydraulic structures generally assume that extreme events are stationary. But many studies in the past decades have shown that hydrological records exhibit some type of nonstationarity such as trends and shifts. Human intervention in river basins (e.g. urbanization), the effect of low frequency climatic variability (e.g. Pacific Decadal Oscillation), and climate change due to increased greenhouse gasses in the atmosphere have been suggested to be the leading causes of changes in the hydrologic cycle of river basins. As a consequence changes in the magnitude and frequency of hydrologic events such as extreme floods and extreme sea levels have been observed in certain parts of the globe. To tackle the various types of nonstationarities in hydrologic extremes several statistical approaches have been proposed in literature such as frequency analysis where the parameters of a given model (e.g. the Gumbel model) may vary with time. The aim of this paper is to show that some basic concepts and methods used in designing flood-related hydraulic structures such as return period and risk assuming a stationary world can be extended into a nonstationary framework. In particular, the concepts of return period and risk are formulated by extending the geometric distribution to allow for changing exceeding probabilities over time. Building on previous developments suggested in the statistical and climate change literature, we present a simple and unified framework to estimate the return period and risk for nonstationary hydrologic events along with examples and applications so that it can be accessible to a broad audience in the field. The applications demonstrate that the return period and risk estimates for nonstationary situations can be quite different than those corresponding to stationary conditions. They also suggest that the nonstationary analysis can be helpful in making appropriate assessment of the reliability (risk) of a hydraulic structure during the planned project life. Some possible extensions of the proposed methods are also discussed.
533        |a Electronic reproduction. |c Florida International University, |d 2015. |f (dpSobek) |n Mode of access: World Wide Web. |n System requirements: Internet connectivity; Web browser software.
650    0 |a Sea Level Rise.
650    0 |a Climate Change.
650    0 |a Hydrology.
720        |a Salas,Jose D..
720 1    |a Obeysekera, Jayantha.
773 0    |t Revisiting the Concepts of Return Period and Risk for Nonstationary Hydrologic Extreme Events
830    0 |a dpSobek.
830    0 |a Sea Level Rise.
852        |a dpSobek |c Sea Level Rise
856 40 |u http://dpanther.fiu.edu/dpService/dpPurlService/purl/FI15060992/00001 |y Click here for full text
856 42 |3 Host material |u http://ascelibrary.org/doi/abs/10.1061/(ASCE)HE.1943-5584.0000820 |y Revisiting the Concepts of Return Period and Risk for Nonstationary Hydrologic Extreme Events
992 04 |a http://dpanther.fiu.edu/sobek/content/FI/15/06/09/92/00001/Salas_Obeysekera_2013_Revisiting the concepts of return period and risk for nonstationary hydrologic
997        |a Sea Level Rise


The record above was auto-generated from the METS file.