Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 18, issue 9
Articles | Volume 18, issue 9
https://doi.org/10.5194/hess-18-3777-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-3777-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 18, issue 9
Research article
 | 
29 Sep 2014
Research article |  | 29 Sep 2014

Robust global sensitivity analysis of a river management model to assess nonlinear and interaction effects

L. J. M. Peeters, G. M. Podger, T. Smith, T. Pickett, R. H. Bark, and S. M. Cuddy

Related authors

Sub3DNet1.0: a deep-learning model for regional-scale 3D subsurface structure mapping
Zhenjiao Jiang, Dirk Mallants, Lei Gao, Tim Munday, Gregoire Mariethoz, and Luk Peeters
Geosci. Model Dev., 14, 3421–3435, https://doi.org/10.5194/gmd-14-3421-2021,https://doi.org/10.5194/gmd-14-3421-2021, 2021
Short summary
Identifying recharge under subtle ephemeral features in a flat-lying semi-arid region using a combined geophysical approach
Brady A. Flinchum, Eddie Banks, Michael Hatch, Okke Batelaan, Luk J. M. Peeters, and Sylvain Pasquet
Hydrol. Earth Syst. Sci., 24, 4353–4368, https://doi.org/10.5194/hess-24-4353-2020,https://doi.org/10.5194/hess-24-4353-2020, 2020
Short summary
High-resolution paleovalley classification from airborne electromagnetic imaging and deep neural network training using digital elevation model data
Zhenjiao Jiang, Dirk Mallants, Luk Peeters, Lei Gao, Camilla Soerensen, and Gregoire Mariethoz
Hydrol. Earth Syst. Sci., 23, 2561–2580, https://doi.org/10.5194/hess-23-2561-2019,https://doi.org/10.5194/hess-23-2561-2019, 2019
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Uncertainty analysis
Evaluating the impact of post-processing medium-range ensemble streamflow forecasts from the European Flood Awareness System
Gwyneth Matthews, Christopher Barnard, Hannah Cloke, Sarah L. Dance, Toni Jurlina, Cinzia Mazzetti, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 26, 2939–2968, https://doi.org/10.5194/hess-26-2939-2022,https://doi.org/10.5194/hess-26-2939-2022, 2022
Short summary
Coupled effects of observation and parameter uncertainty on urban groundwater infrastructure decisions
Marina R. L. Mautner, Laura Foglia, and Jonathan D. Herman
Hydrol. Earth Syst. Sci., 26, 1319–1340, https://doi.org/10.5194/hess-26-1319-2022,https://doi.org/10.5194/hess-26-1319-2022, 2022
Short summary
Disentangling sources of future uncertainties for water management in sub-Saharan river basins
Alessandro Amaranto, Dinis Juizo, and Andrea Castelletti
Hydrol. Earth Syst. Sci., 26, 245–263, https://doi.org/10.5194/hess-26-245-2022,https://doi.org/10.5194/hess-26-245-2022, 2022
Short summary
Possibilistic response surfaces: incorporating fuzzy thresholds into bottom-up flood vulnerability analysis
Thibaut Lachaut and Amaury Tilmant
Hydrol. Earth Syst. Sci., 25, 6421–6435, https://doi.org/10.5194/hess-25-6421-2021,https://doi.org/10.5194/hess-25-6421-2021, 2021
Short summary
Future hot-spots for hydro-hazards in Great Britain: a probabilistic assessment
Lila Collet, Shaun Harrigan, Christel Prudhomme, Giuseppe Formetta, and Lindsay Beevers
Hydrol. Earth Syst. Sci., 22, 5387–5401, https://doi.org/10.5194/hess-22-5387-2018,https://doi.org/10.5194/hess-22-5387-2018, 2018
Short summary
More articles (14)

Cited articles

Bark, R., Peeters, L., Lester, R., Pollino, C., Crossman, N., and Kandulu, J.: Understanding the sources of uncertainty to reduce the risks of undesirable outcomes in large-scale freshwater ecosystem restoration projects: An example from the Murray-Darling Basin, Australia, Environ. Sci. Pol., 33, 97–108, 2013.
Borgonovo, E.: A new uncertainty importance measure, Reliability Eng. Syst. Safety, 92, 771–784, 2007.
Borgonovo, E., Castaings, W., and Tarantola, S.: Moment Independent Importance Measures: New Results and Analytical Test Cases, Risk Anal., 31, 404–428, 2011.
Campolongo, F., Cariboni, J., and Saltelli, A.: An effective screening design for sensitivity analysis of large models, Environ. Modell. Softw., 22, 1509–1518, 2007.
Castaings, W., Dartus, D., Le Dimet, F.-X., and Saulnier, G.-M.: Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods, Hydrol. Earth Syst. Sci., 13, 503–517, https://doi.org/10.5194/hess-13-503-2009, 2009.
More articles (33)
Download