Relevant bibliographies by topics / Probabilistic regional envelope curves

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Probabilistic regional envelope curves'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Probabilistic regional envelope curves"

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Guse, Björn, Annegret H. Thieken, Attilio Castellarin, and Bruno Merz. "Deriving probabilistic regional envelope curves with two pooling methods." Journal of Hydrology 380, no. 1-2 (2010): 14–26. http://dx.doi.org/10.1016/j.jhydrol.2009.10.010.

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Guse, B., Th Hofherr, and B. Merz. "Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function." Hydrology and Earth System Sciences 14, no. 12 (2010): 2465–78. http://dx.doi.org/10.5194/hess-14-2465-2010.

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Abstract. A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For this purpose, large flood quantiles, i.e. pairs of a discharge and its corresponding recurrence interval, as well as an upper bound discharge, are combined within a mixed bounded distribution function. The large flood quantiles are derived using probabilistic regional envelope curves (PRECs) for all sites of a pooling group. These PREC flood quantiles are introduced into an at-site flood
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Guse, B., T. Hofherr, and B. Merz. "Introducing empirical and probabilistic regional envelope curves into a mixed bounded distribution function." Hydrology and Earth System Sciences Discussions 7, no. 4 (2010): 4253–90. http://dx.doi.org/10.5194/hessd-7-4253-2010.

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Abstract. A novel approach to consider additional spatial information in flood frequency analyses, especially for the estimation of discharges with recurrence intervals larger than 100 years, is presented. For this purpose, large flood quantiles, i.e. pairs of a discharge and its corresponding recurrence interval, as well as an upper bound discharge, are combined within a mixed bounded distribution function. Large flood quantiles are derived using probabilistic regional envelope curves (PRECs) for all sites of a pooling group. These PREC flood quantiles are introduced into an at-site flood fre
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Guse, B., A. Castellarin, A. H. Thieken, and B. Merz. "Effects of intersite dependence of nested catchment structures on probabilistic regional envelope curves." Hydrology and Earth System Sciences Discussions 6, no. 2 (2009): 2845–92. http://dx.doi.org/10.5194/hessd-6-2845-2009.

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Abstract. Regional flood quantile estimates are affected by intersite correlation between flood sequences observed at different discharge gauges. This study analyses the intersite dependence of nested catchment structures and investigates the possibility of improving the accuracy of regional flood quantiles, by modelling cross-correlations for pairs of nested and unnested catchments separately. Probabilistic Regional Envelope Curves are utilised to derive regional flood quantiles for 89 catchments belonging to Saxony, in the Southeast of Germany. The study area has a nested structure and a def
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Guse, B., A. Castellarin, A. H. Thieken, and B. Merz. "Effects of intersite dependence of nested catchment structures on probabilistic regional envelope curves." Hydrology and Earth System Sciences 13, no. 9 (2009): 1699–712. http://dx.doi.org/10.5194/hess-13-1699-2009.

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Abstract. This study analyses the intersite dependence of nested catchment structures by modelling cross-correlations for pairs of nested and unnested catchments separately. Probabilistic regional envelope curves are utilised to derive regional flood quantiles for 89 catchments located in Saxony, in the Southeast of Germany. The study area has a nested structure and the intersite correlation is much stronger for nested pairs of catchments than for unnested ones. Pooling groups of sites (regions) are constructed based on several candidate sets of catchment descriptors using the Region of Influe
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Lam, Daryl, Chris Thompson, and Jacky Croke. "Improving at-site flood frequency analysis with additional spatial information: a probabilistic regional envelope curve approach." Stochastic Environmental Research and Risk Assessment 31, no. 8 (2016): 2011–31. http://dx.doi.org/10.1007/s00477-016-1303-x.

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Castellarin, Attilio, Ralf Merz, and Günter Blöschl. "Probabilistic envelope curves for extreme rainfall events." Journal of Hydrology 378, no. 3-4 (2009): 263–71. http://dx.doi.org/10.1016/j.jhydrol.2009.09.030.

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De Angelis, Alessandra, Fabrizio Ascione, Rosa Francesca De Masi, Maria Rosaria Pecce, and Giuseppe Peter Vanoli. "A Novel Contribution for Resilient Buildings. Theoretical Fragility Curves: Interaction between Energy and Structural Behavior for Reinforced Concrete Buildings." Buildings 10, no. 11 (2020): 194. http://dx.doi.org/10.3390/buildings10110194.

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The paper introduces a new semi-probabilistic methodology for the definition of energy fragility curves suitable for a macro-classification of building stock inspired to and coupled with the widely adopted method of seismic fragility curves. The approach is applied to the reinforced concrete residential buildings of the Italian stock. Starting from a classification according to the climatic zone and the construction period, some reference buildings in terms of building envelope typologies have been defined and simulated by means of dynamic modeling tools. Then, cumulative distributions of the
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Manzour, Hasan, Rachel A. Davidson, Nick Horspool, and Linda K. Nozick. "Seismic Hazard and Loss Analysis for Spatially Distributed Infrastructure in Christchurch, New Zealand." Earthquake Spectra 32, no. 2 (2016): 697–712. http://dx.doi.org/10.1193/041415eqs054m.

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The new Extended Optimization-Based Probabilistic Scenario method produces a small set of probabilistic ground motion maps to represent the seismic hazard for analysis of spatially distributed infrastructure. We applied the method to Christchurch, New Zealand, including a sensitivity analysis of key user-specified parameters. A set of just 124 ground motion maps were able to match the hazard curves based on a million-year Monte Carlo simulation with no error at the four selected return periods, mean spatial correlation errors of 0.03, and average error in the residential loss exceedance curves
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Rollo, Fabio, and Sebastiano Rampello. "Probabilistic assessment of seismic-induced slope displacements: an application in Italy." Bulletin of Earthquake Engineering 19, no. 11 (2021): 4261–88. http://dx.doi.org/10.1007/s10518-021-01138-5.

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AbstractEarthquake-induced slope instability is one of the most important hazards related to ground shaking, causing damages to the environment and, often, casualties. Therefore, it is important to assess the seismic performance of slopes, especially in the near fault regions, evaluating the permanent displacements induced by seismic loading. This paper applies a probabilistic approach to evaluate the seismic performance of slopes using an updated database of ground motions recorded during the earthquakes occurred in Italy. The main advantage of this approach is that of accounting for the alea
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Dissertations / Theses on the topic "Probabilistic regional envelope curves"

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Guse, Björn Felix. "Improving flood frequency analysis by integration of empirical and probabilistic regional envelope curves." Phd thesis, Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4926/.

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Flood design necessitates discharge estimates for large recurrence intervals. However, in a flood frequency analysis, the uncertainty of discharge estimates increases with higher recurrence intervals, particularly due to the small number of available flood data. Furthermore, traditional distribution functions increase unlimitedly without consideration of an upper bound discharge. Hence, additional information needs to be considered which is representative for high recurrence intervals. Envelope curves which bound the maximum observed discharges of a region are an adequate regionalisation metho
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Guse, Björn Felix [Verfasser], and Bruno [Akademischer Betreuer] Merz. "Improving flood frequency analysis by integration of empirical and probabilistic regional envelope curves / Björn Felix Guse ; Betreuer: Bruno Merz." Potsdam : Universität Potsdam, 2010. http://d-nb.info/1218391049/34.

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Tagliaferri, Lorenza. "Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2008. http://amslaurea.unibo.it/99/.

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A regional envelope curve (REC) of flood flows summarises the current bound on our experience of extreme floods in a region. RECs are available for most regions of the world. Recent scientific papers introduced a probabilistic interpretation of these curves and formulated an empirical estimator of the recurrence interval T associated with a REC, which, in principle, enables us to use RECs for design purposes in ungauged basins. The main aim of this work is twofold. First, it extends the REC concept to extreme rainstorm events by introducing the Depth-Duration Envelope Curves (DDEC), which are
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Conference papers on the topic "Probabilistic regional envelope curves"

1

Benedict, Stephen T. "Development of Regional Envelope Curves for Assessing Limits and Trends in Scour." In World Environmental and Water Resources Congress 2007. American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)379.

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Aslam, Usman, Jorge Burgos, Craig Williams, et al. "Closing the Loop on a History Match for a Permian EOR Field Using Relative Permeability Data Uncertainty." In SPE Western Regional Meeting. SPE, 2021. http://dx.doi.org/10.2118/200807-ms.

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Abstract Reservoir production forecasts are inherently uncertain due to the lack of quality data available to build predictive reservoir models. Multiple data types, including historical production, well tests (RFT/PLT), and time-lapse seismic data, are assimilated into reservoir models during the history matching process to improve predictability of the model. Traditionally, a ‘best estimate’ for relative permeability data is assumed during the history matching process, despite there being significant uncertainty in the relative permeability. Relative permeability governs multiphase flow in t
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Peyghaleh, Elnaz, and Tarek Alkhrdaji. "Resource Allocation Model Toward Seismic Water Pipeline Risk Mitigation Measures." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93057.

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Abstract History of earthquake’s damages have illustrated the high vulnerability and risks associated with failure of water transfer and distribution systems. Adequate mitigation plans to reduce such seismic risks are required for sustainable development. The first step in developing a mitigation plan is prioritizing the limited available budget to address the most critical mitigation measures. This paper presents an optimization model that can be utilized for financial resource allocation towards earthquake risk mitigation measures for water pipelines. It presents a framework that can be used
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