What drives uncertainty surrounding riverine flood risks?

Hosseini-Shakib, Iman; Alipour, Atieh; Seiyon Lee, Benjamin; Srikrishnan, Vivek; Nicholas, Robert E.; Keller, Klaus; Sharma, Sanjib

doi:10.1016/j.jhydrol.2024.131055

Title: What drives uncertainty surrounding riverine flood risks?

Journal Article · 30 April 2024 · Journal of Hydrology

DOI: https://doi.org/10.1016/j.jhydrol.2024.131055 · OSTI ID:2322606

Hosseini-Shakib, Iman; Alipour, Atieh; Seiyon Lee, Benjamin;

; Nicholas, Robert E.;

; Sharma, Sanjib

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Sponsoring Organization:: USDOE

OSTI ID:: 2322606

Alternate ID(s):: OSTI ID: 2338149

Journal Information:: Journal of Hydrology, Journal Name: Journal of Hydrology Journal Issue: C Vol. 634; ISSN 0022-1694

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (60)

Determining sectoral and regional sensitivity to climate and socio-economic change in Europe using impact response surfaces Fronzek, Stefan; Carter, Timothy R.; Pirttioja, Nina Regional Environmental Change, Vol. 19, Issue 3 https://doi.org/10.1007/s10113-018-1421-8	journal	October 2018
Characteristics of river floods and flooding: a global overview, 1985–2003 Douben, Klaas-Jan Irrigation and Drainage, Vol. 55, Issue S1 https://doi.org/10.1002/ird.239	journal	January 2006
A high-resolution global flood hazard model: A HIGH-RESOLUTION GLOBAL FLOOD HAZARD MODEL Sampson, Christopher C.; Smith, Andrew M.; Bates, Paul D. Water Resources Research, Vol. 51, Issue 9 https://doi.org/10.1002/2015WR016954	journal	September 2015
An Approach to Sensitivity Analysis of Computer Models: Part I—Introduction, Input Variable Selection and Preliminary Variable Assessment Iman, Ronald L.; Helton, Jon C.; Campbell, James E. Journal of Quality Technology, Vol. 13, Issue 3 https://doi.org/10.1080/00224065.1981.11978748	journal	July 1981
Neglecting uncertainties biases house-elevation decisions to manage riverine flood risks Zarekarizi, Mahkameh; Srikrishnan, Vivek; Keller, Klaus Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-19188-9	journal	October 2020
Multi-method global sensitivity analysis of flood inundation models Pappenberger, Florian; Beven, Keith J.; Ratto, Marco Advances in Water Resources, Vol. 31, Issue 1 https://doi.org/10.1016/j.advwatres.2007.04.009	journal	January 2008
Ranking sources of uncertainty in flood damage modelling: a case study on the cost-benefit analysis of a flood mitigation project in the Orb Delta, France Saint-Geours, N.; Grelot, F.; Bailly, J. -S. Journal of Flood Risk Management, Vol. 8, Issue 2 https://doi.org/10.1111/jfr3.12068	journal	September 2013
Climate Risk Management Keller, Klaus; Helgeson, Casey; Srikrishnan, Vivek Annual Review of Earth and Planetary Sciences, Vol. 49, Issue 1 https://doi.org/10.1146/annurev-earth-080320-055847	journal	May 2021
Flood risk assessment and associated uncertainty Apel, H.; Thieken, A. H.; Merz, B. Natural Hazards and Earth System Sciences, Vol. 4, Issue 2 https://doi.org/10.5194/nhess-4-295-2004	journal	April 2004
Quantifying the importance of spatial resolution and other factors through global sensitivity analysis of a flood inundation model: GSA OF A FLOOD INUNDATION MODEL Thomas Steven Savage, James; Pianosi, Francesca; Bates, Paul Water Resources Research, Vol. 52, Issue 11 https://doi.org/10.1002/2015WR018198	journal	November 2016
Estimates of present and future flood risk in the conterminous United States Wing, Oliver E. J.; Bates, Paul D.; Smith, Andrew M. Environmental Research Letters, Vol. 13, Issue 3 https://doi.org/10.1088/1748-9326/aaac65	journal	February 2018
Understanding the Metropolis-Hastings Algorithm Chib, Siddhartha; Greenberg, Edward The American Statistician, Vol. 49, Issue 4 https://doi.org/10.1080/00031305.1995.10476177	journal	November 1995
A probabilistic calibration of climate sensitivity and terrestrial carbon change in GENIE-1 Holden, Philip B.; Edwards, N. R.; Oliver, K. I. C. Climate Dynamics, Vol. 35, Issue 5 https://doi.org/10.1007/s00382-009-0630-8	journal	July 2009
Markov Chain Monte Carlo: Can We Trust the Third Significant Figure? Flegal, James M.; Haran, Murali; Jones, Galin L. Statistical Science, Vol. 23, Issue 2 https://doi.org/10.1214/08-STS257	journal	May 2008
Flooding in the Northeastern United States, 2011 Suro, Thomas P.; Roland, Mark A.; Kiah, Richard G. https://doi.org/10.3133/pp1821	report	December 2015
Flood risk behaviors of United States riverine metropolitan areas are driven by local hydrology and shaped by race Knighton, James; Hondula, Kelly; Sharkus, Cielo Proceedings of the National Academy of Sciences, Vol. 118, Issue 13 https://doi.org/10.1073/pnas.2016839118	journal	March 2021
Accounting for uncertainties in compound flood hazard assessment: The value of data assimilation Muñoz, David F.; Abbaszadeh, Peyman; Moftakhari, Hamed Coastal Engineering, Vol. 171 https://doi.org/10.1016/j.coastaleng.2021.104057	journal	January 2022
Joint Monte Carlo and possibilistic simulation for flood damage assessment Yu, J. J.; Qin, X. S.; Larsen, O. Stochastic Environmental Research and Risk Assessment, Vol. 27, Issue 3 https://doi.org/10.1007/s00477-012-0635-4	journal	August 2012
Risk‐based floodplain management: A case study from Greece Ganoulis, J. International Journal of River Basin Management, Vol. 1, Issue 1 https://doi.org/10.1080/15715124.2003.9635191	journal	March 2003
Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models: Distributed evaluation of local sensitivity analysis Rakovec, O.; Hill, M. C.; Clark, M. P. Water Resources Research, Vol. 50, Issue 1 https://doi.org/10.1002/2013WR014063	journal	January 2014
Multi-model ensembles for assessment of flood losses and associated uncertainty Figueiredo, Rui; Schröter, Kai; Weiss-Motz, Alexander Natural Hazards and Earth System Sciences, Vol. 18, Issue 5 https://doi.org/10.5194/nhess-18-1297-2018	journal	January 2018
Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management Oddo, Perry C.; Lee, Ben S.; Garner, Gregory G. Risk Analysis, Vol. 40, Issue 1 https://doi.org/10.1111/risa.12888	journal	September 2017
Asymptotic normality and efficiency of two Sobol index estimators Janon, Alexandre; Klein, Thierry; Lagnoux, Agnès ESAIM: Probability and Statistics, Vol. 18 https://doi.org/10.1051/ps/2013040	journal	January 2014
Quantification of uncertainties in flood risk assessments Apel, Heiko; Merz, Bruno; Thieken, Annegret H. International Journal of River Basin Management, Vol. 6, Issue 2 https://doi.org/10.1080/15715124.2008.9635344	journal	June 2008
Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index Saltelli, Andrea; Annoni, Paola; Azzini, Ivano Computer Physics Communications, Vol. 181, Issue 2 https://doi.org/10.1016/j.cpc.2009.09.018	journal	February 2010
Sensitivity of Coastal Flood Risk Assessments to Digital Elevation Models van de Sande, Bas; Lansen, Joost; Hoyng, Claartje Water, Vol. 4, Issue 3 https://doi.org/10.3390/w4030568	journal	July 2012
U.S. Floods Cigler, Beverly A. State and Local Government Review, Vol. 49, Issue 2 https://doi.org/10.1177/0160323X17731890	journal	June 2017
Equation of State Calculations by Fast Computing Machines Metropolis, Nicholas; Rosenbluth, Arianna W.; Rosenbluth, Marshall N. The Journal of Chemical Physics, Vol. 21, Issue 6 https://doi.org/10.1063/1.1699114	journal	June 1953
Factorial Sampling Plans for Preliminary Computational Experiments Morris, Max D. Technometrics, Vol. 33, Issue 2 https://doi.org/10.1080/00401706.1991.10484804	journal	May 1991
Neglecting model structural uncertainty underestimates upper tails of flood hazard Wong, Tony E.; Klufas, Alexandra; Srikrishnan, Vivek Environmental Research Letters, Vol. 13, Issue 7 https://doi.org/10.1088/1748-9326/aacb3d	journal	July 2018
Global sensitivity analysis in hydrodynamic modeling and flood inundation mapping Alipour, Atieh; Jafarzadegan, Keighobad; Moradkhani, Hamid Environmental Modelling & Software, Vol. 152 https://doi.org/10.1016/j.envsoft.2022.105398	journal	June 2022
Uncertainty in flood damage estimation* Egorova, Regina; van Noortwijk, Jan M.; Holterman, Stephanie R. International Journal of River Basin Management, Vol. 6, Issue 2 https://doi.org/10.1080/15715124.2008.9635343	journal	June 2008
Flood risk curves and uncertainty bounds Merz, Bruno; Thieken, Annegret H. Natural Hazards, Vol. 51, Issue 3 https://doi.org/10.1007/s11069-009-9452-6	journal	September 2009
Uncertainty and sensitivity of flood risk calculations for a dike ring in the south of the Netherlands de Moel, Hans; Bouwer, Laurens M.; Aerts, Jeroen C. J. H. Science of The Total Environment, Vol. 473-474 https://doi.org/10.1016/j.scitotenv.2013.12.015	journal	March 2014
Comparing sensitivity analysis methods to advance lumped watershed model identification and evaluation Tang, Y.; Reed, P.; Wagener, T. Hydrology and Earth System Sciences, Vol. 11, Issue 2 https://doi.org/10.5194/hess-11-793-2007	journal	January 2007
Probabilistic flood forecasting and decision-making: an innovative risk-based approach Dale, Murray; Wicks, Jon; Mylne, Ken Natural Hazards, Vol. 70, Issue 1 https://doi.org/10.1007/s11069-012-0483-z	journal	November 2012
Probability-weighted hazard maps for comparing different flood risk management strategies: a case study Di Baldassarre, Giuliano; Castellarin, Attilio; Montanari, Alberto Natural Hazards, Vol. 50, Issue 3 https://doi.org/10.1007/s11069-009-9355-6	journal	February 2009
Estimation uncertainty of direct monetary flood damage to buildings Merz, B.; Kreibich, H.; Thieken, A. Natural Hazards and Earth System Sciences, Vol. 4, Issue 1 https://doi.org/10.5194/nhess-4-153-2004	journal	March 2004
Certain trends in uncertainty and sensitivity analysis: An overview of software tools and techniques Douglas-Smith, Dominique; Iwanaga, Takuya; Croke, Barry F. W. Environmental Modelling & Software, Vol. 124 https://doi.org/10.1016/j.envsoft.2019.104588	journal	February 2020
Uncertainty Analysis in Multi‐Sector Systems: Considerations for Risk Analysis, Projection, and Planning for Complex Systems Srikrishnan, Vivek; Lafferty, David C.; Wong, Tony E. Earth's Future, Vol. 10, Issue 8 https://doi.org/10.1029/2021EF002644	journal	August 2022
Raising risk preparedness by flood risk communication Maidl, E.; Buchecker, M. Natural Hazards and Earth System Sciences, Vol. 15, Issue 7 https://doi.org/10.5194/nhess-15-1577-2015	journal	July 2015
New insights into US flood vulnerability revealed from flood insurance big data Wing, Oliver E. J.; Pinter, Nicholas; Bates, Paul D. Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-15264-2	journal	March 2020
Community flood vulnerability and risk assessment: An empirical predictive modeling approach Wang, Yi (Victor); Sebastian, Antonia Journal of Flood Risk Management, Vol. 14, Issue 3 https://doi.org/10.1111/jfr3.12739	journal	July 2021
Establishing priorities for Pennsylvania community flood resilience Iulo, Lisa; Arora, Aashna; Fowler, Lara Penn State Initiative for Resilient Communities https://doi.org/10.31235/osf.io/qa4z7	journal	September 2020
How much physical complexity is needed to model flood inundation? Neal, Jeffrey; Villanueva, Ignacio; Wright, Nigel Hydrological Processes, Vol. 26, Issue 15 https://doi.org/10.1002/hyp.8339	journal	November 2011
Precalibrating an intermediate complexity climate model Edwards, Neil R.; Cameron, David; Rougier, Jonathan Climate Dynamics, Vol. 37, Issue 7-8 https://doi.org/10.1007/s00382-010-0921-0	journal	October 2010
A framework for uncertainty analysis in flood risk management decisions Hall, Jim; Solomatine, Dimitri International Journal of River Basin Management, Vol. 6, Issue 2 https://doi.org/10.1080/15715124.2008.9635339	journal	June 2008
An effective screening design for sensitivity analysis of large models Campolongo, Francesca; Cariboni, Jessica; Saltelli, Andrea Environmental Modelling & Software, Vol. 22, Issue 10 https://doi.org/10.1016/j.envsoft.2006.10.004	journal	October 2007
Fluvial flood risk management in a changing world Merz, B.; Hall, J.; Disse, M. Natural Hazards and Earth System Science, Vol. 10, Issue 3 https://doi.org/10.5194/nhess-10-509-2010	journal	January 2010
An Example of Augmenting Regional Sensitivity Analysis Using Machine Learning Software Spear, Robert C.; Cheng, Qu; Wu, Sean L. Water Resources Research, Vol. 56, Issue 4 https://doi.org/10.1029/2019WR026379	journal	April 2020
A risk-based approach to flood management decisions in a nonstationary world Rosner, Ana; Vogel, Richard M.; Kirshen, Paul H. Water Resources Research, Vol. 50, Issue 3 https://doi.org/10.1002/2013WR014561	journal	March 2014
Flood Risk Assessment, Future Trend Modeling, and Risk Communication: A Review of Ongoing Research Salman, Abdullahi M.; Li, Yue Natural Hazards Review, Vol. 19, Issue 3 https://doi.org/10.1061/(ASCE)NH.1527-6996.0000294	journal	August 2018
Distributed Sensitivity Analysis of Flood Inundation Model Calibration Hall, J. W.; Tarantola, S.; Bates, P. D. Journal of Hydraulic Engineering, Vol. 131, Issue 2 https://doi.org/10.1061/(ASCE)0733-9429(2005)131:2(117)	journal	February 2005
Uncertainty and Sensitivity Analysis of the HAZUS-MH Flood Model Tate, Eric; Muñoz, Cristina; Suchan, Jared Natural Hazards Review, Vol. 16, Issue 3 https://doi.org/10.1061/(ASCE)NH.1527-6996.0000167	journal	August 2015
Drawing lines: FEMA and the politics of mapping flood zones Pralle, Sarah Climatic Change, Vol. 152, Issue 2 https://doi.org/10.1007/s10584-018-2287-y	journal	September 2018
Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates de Moel, H.; Aerts, J. C. J. H. Natural Hazards, Vol. 58, Issue 1 https://doi.org/10.1007/s11069-010-9675-6	journal	December 2010
sensobol: An R Package to Compute Variance-Based Sensitivity Indices Puy, Arnald; Piano, Samuele Lo; Saltelli, Andrea Journal of Statistical Software, Vol. 102, Issue 5 https://doi.org/10.18637/jss.v102.i05	journal	January 2022
Rethinking flood risk communication Rollason, E.; Bracken, L. J.; Hardy, R. J. Natural Hazards, Vol. 92, Issue 3 https://doi.org/10.1007/s11069-018-3273-4	journal	March 2018
Flood Risk Delineation in the United States: How Much Loss Are We Capturing? Blessing, Russell; Sebastian, Antonia; Brody, Samuel D. Natural Hazards Review, Vol. 18, Issue 3 https://doi.org/10.1061/(ASCE)NH.1527-6996.0000242	journal	August 2017
A fatigue model with local sensitivity analysis Castillo, E.; FernÁNdez‐Canteli, A.; Hadi, A. S. Fatigue & Fracture of Engineering Materials & Structures, Vol. 30, Issue 2 https://doi.org/10.1111/j.1460-2695.2006.01099.x	journal	February 2007

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