A Bayesian Copula-Based Nonstationary Framework for Compound Flood Risk Assessment along US Coastlines
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Title
A Bayesian Copula-Based Nonstationary Framework for Compound Flood Risk Assessment along US Coastlines
Authors
Keywords
Compound flooding, Bayesian framework, Copula functions, Nonstationarity, Flood risk
Journal
JOURNAL OF HYDROLOGY
Volume -, Issue -, Pages 128005
Publisher
Elsevier BV
Online
2022-06-02
DOI
10.1016/j.jhydrol.2022.128005
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Note: Only part of the references are listed.- Consequences of groundwater overexploitation on land subsidence in Fars Province of Iran and its mitigation management program
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- Climate Extremes and Compound Hazards in a Warming World
- (2020) Amir AghaKouchak et al. Annual Review of Earth and Planetary Sciences
- The effect of surge on riverine flood hazard and impact in deltas globally
- (2020) Dirk Eilander et al. Environmental Research Letters
- Sea-level rise exponentially increases coastal flood frequency
- (2020) Mohsen Taherkhani et al. Scientific Reports
- Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation
- (2020) Goutam Konapala et al. Nature Communications
- Compound Events under Global Warming: A Dependence Perspective
- (2020) Zengchao Hao et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Compound Inundation Impacts of Coastal Climate Change: Sea-Level Rise, Groundwater Rise, and Coastal Precipitation
- (2020) Reyhaneh Rahimi et al. Water
- Linking statistical and hydrodynamic modeling for compound flood hazard assessment in tidal channels and estuaries
- (2019) Hamed Moftakhari et al. ADVANCES IN WATER RESOURCES
- A generalized framework for process-informed nonstationary extreme value analysis
- (2019) Elisa Ragno et al. ADVANCES IN WATER RESOURCES
- Higher probability of compound flooding from precipitation and storm surge in Europe under anthropogenic climate change
- (2019) E. Bevacqua et al. Science Advances
- Development of a Bayesian-copula-based frequency analysis method for hydrological risk assessment – The Naryn River in Central Asia
- (2019) Y.R. Liu et al. JOURNAL OF HYDROLOGY
- Dependence between high sea-level and high river discharge increases flood hazard in global deltas and estuaries
- (2018) Philip J Ward et al. Environmental Research Letters
- Multihazard Scenarios for Analysis of Compound Extreme Events
- (2018) Mojtaba Sadegh et al. GEOPHYSICAL RESEARCH LETTERS
- Techniques for assessing water infrastructure for nonstationary extreme events: a review
- (2018) J. D. Salas et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A Bayesian Hierarchical Approach to Multivariate Nonstationary Hydrologic Frequency Analysis
- (2018) C. Bracken et al. WATER RESOURCES RESEARCH
- A Framework for Exploring Joint Effects of Conditional Factors on Compound Floods
- (2018) Zhiyong Liu et al. WATER RESOURCES RESEARCH
- Future climate risk from compound events
- (2018) Jakob Zscheischler et al. Nature Climate Change
- Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach
- (2018) Mumtaz Ali et al. AGRICULTURAL AND FOREST METEOROLOGY
- Nonstationary Flood Frequency Analysis for Annual Flood Peak and Volume Series in Both Univariate and Bivariate Domain
- (2018) Jianzhu Li et al. WATER RESOURCES MANAGEMENT
- Time-varying extreme rainfall intensity-duration-frequency curves in a changing climate
- (2017) Ali Sarhadi et al. GEOPHYSICAL RESEARCH LETTERS
- Comparison of four nonstationary hydrologic design methods for changing environment
- (2017) Lei Yan et al. JOURNAL OF HYDROLOGY
- Compounding effects of sea level rise and fluvial flooding
- (2017) Hamed R. Moftakhari et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Bivariate frequency analysis of flood and extreme precipitation under changing environment: case study in catchments of the Loess Plateau, China
- (2017) Aijun Guo et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Predicting nonstationary flood frequencies: Evidence supports an updated stationarity thesis in the United States
- (2017) Adam Luke et al. WATER RESOURCES RESEARCH
- Multivariate Copula Analysis Toolbox (MvCAT): Describing dependence and underlying uncertainty using a Bayesian framework
- (2017) Mojtaba Sadegh et al. WATER RESOURCES RESEARCH
- Sea level rise drives increased tidal flooding frequency at tide gauges along the U.S. East and Gulf Coasts: Projections for 2030 and 2045
- (2017) Kristina A. Dahl et al. PLoS One
- Sea-level rise induced amplification of coastal protection design heights
- (2017) Arne Arns et al. Scientific Reports
- Doubling of coastal flooding frequency within decades due to sea-level rise
- (2017) Sean Vitousek et al. Scientific Reports
- Hydrologic risk analysis in the Yangtze River basin through coupling Gaussian mixtures into copulas
- (2016) Y.R. Fan et al. ADVANCES IN WATER RESOURCES
- A copula-based approach for the estimation of wave height records through spatial correlation
- (2016) R. Jane et al. COASTAL ENGINEERING
- Review of dependence modeling in hydrology and water resources
- (2016) Zengchao Hao et al. PROGRESS IN PHYSICAL GEOGRAPHY
- Trend Analysis of Maximum Hydrologic Drought Variables Using Mann-Kendall and Şen's Innovative Trend Method
- (2016) F. Tosunoglu et al. RIVER RESEARCH AND APPLICATIONS
- A multivariate copula-based framework for dealing with hazard scenarios and failure probabilities
- (2016) G. Salvadori et al. WATER RESOURCES RESEARCH
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- (2016) Hyun-Han Kwon et al. WATER RESOURCES RESEARCH
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- Towards a global higher-frequency sea level dataset
- (2016) P. L. Woodworth et al. Geoscience Data Journal
- Bivariate return periods and their importance for flood peak and volume estimation
- (2016) Manuela Irene Brunner et al. Wiley Interdisciplinary Reviews-Water
- Stationarity is undead: Uncertainty dominates the distribution of extremes
- (2015) Francesco Serinaldi et al. ADVANCES IN WATER RESOURCES
- The probability distribution of intense daily precipitation
- (2015) Nicholas R. Cavanaugh et al. GEOPHYSICAL RESEARCH LETTERS
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- Increasing risk of compound flooding from storm surge and rainfall for major US cities
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- Probabilistic 21st and 22nd century sea-level projections at a global network of tide-gauge sites
- (2014) Robert E. Kopp et al. Earths Future
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- (2013) Michelle T.H. van Vliet et al. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
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- Sea level projections to AD2500 with a new generation of climate change scenarios
- (2011) S. Jevrejeva et al. GLOBAL AND PLANETARY CHANGE
- Block bootstrap for Mann-Kendall trend test of serially dependent data
- (2011) Bihrat Önöz et al. HYDROLOGICAL PROCESSES
- Stationarity Is Dead: Whither Water Management?
- (2008) P. C. D. Milly et al. SCIENCE
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