Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6219-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-6219-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Moment-based metrics for global sensitivity analysis of hydrological systems
Aronne Dell'Oca
CORRESPONDING AUTHOR
Dipartimento di Ingegneria Civile e Ambientale (DICA), Politecnico di
Milano, Piazza L. Da Vinci, 32, 20133 Milan, Italy
Monica Riva
Dipartimento di Ingegneria Civile e Ambientale (DICA), Politecnico di
Milano, Piazza L. Da Vinci, 32, 20133 Milan, Italy
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona, USA
Alberto Guadagnini
Dipartimento di Ingegneria Civile e Ambientale (DICA), Politecnico di
Milano, Piazza L. Da Vinci, 32, 20133 Milan, Italy
Department of Hydrology and Atmospheric Sciences, University of
Arizona, Tucson, Arizona, USA
Viewed
Total article views: 3,115 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,954 | 1,059 | 102 | 3,115 | 105 | 119 |
- HTML: 1,954
- PDF: 1,059
- XML: 102
- Total: 3,115
- BibTeX: 105
- EndNote: 119
Total article views: 2,273 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 Dec 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,421 | 780 | 72 | 2,273 | 81 | 73 |
- HTML: 1,421
- PDF: 780
- XML: 72
- Total: 2,273
- BibTeX: 81
- EndNote: 73
Total article views: 842 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 06 Mar 2017)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
533 | 279 | 30 | 842 | 24 | 46 |
- HTML: 533
- PDF: 279
- XML: 30
- Total: 842
- BibTeX: 24
- EndNote: 46
Viewed (geographical distribution)
Total article views: 3,115 (including HTML, PDF, and XML)
Thereof 3,011 with geography defined
and 104 with unknown origin.
Total article views: 2,273 (including HTML, PDF, and XML)
Thereof 2,186 with geography defined
and 87 with unknown origin.
Total article views: 842 (including HTML, PDF, and XML)
Thereof 825 with geography defined
and 17 with unknown origin.
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1
1
Cited
57 citations as recorded by crossref.
- Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher 10.1029/2020WR028544
- Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis M. Cohen et al. 10.5194/hess-28-1585-2024
- Experimental study and modeling of final fracture conductivity during acid fracturing H. Mehrjoo et al. 10.1016/j.petrol.2021.109192
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty H. Dai et al. 10.1029/2023WR036096
- Sensitivity analysis in the wavelet domain: a comparison study G. Chiogna et al. 10.1007/s00477-023-02654-3
- Assessment of Hydrological Processes in an Ungauged Catchment in Eritrea E. Baioni et al. 10.3390/hydrology9050068
- Extremum sensitivity analysis with polynomial Monte Carlo filtering C. Wong et al. 10.1016/j.ress.2021.107609
- Uncertainty Quantification and Global Sensitivity Analysis of Subsurface Flow Parameters to Gravimetric Variations During Pumping Tests in Unconfined Aquifers F. Maina & A. Guadagnini 10.1002/2017WR021655
- Global sensitivity analysis: A Bayesian learning based polynomial chaos approach B. Bhattacharyya 10.1016/j.jcp.2020.109539
- Stochastic Inverse Modeling and Parametric Uncertainty of Sediment Deposition Processes Across Geologic Time Scales S. Patani et al. 10.1007/s11004-020-09911-z
- A two-step Bayesian network-based process sensitivity analysis for complex nitrogen reactive transport modeling H. Dai et al. 10.1016/j.jhydrol.2024.130903
- Analysis of the performance of a crude-oil desalting system based on historical data E. Ranaee et al. 10.1016/j.fuel.2020.120046
- Distribution-based sensitivity analysis from a generic input-output sample F. Pianosi & T. Wagener 10.1016/j.envsoft.2018.07.019
- Implications of uncertain bioreactive parameters on a complex reaction network of atrazine biodegradation in soil G. Porta et al. 10.1016/j.advwatres.2018.08.002
- Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model Y. Sawada 10.1029/2020JD032688
- Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. 10.1007/s00477-020-01868-z
- Probabilistic assessment of failure of infiltration structures under model and parametric uncertainty A. Dell’Oca et al. 10.1016/j.jenvman.2023.118466
- Probabilistic indicators for soil and groundwater contamination risk assessment D. la Cecilia et al. 10.1016/j.ecolind.2020.106424
- Local and Global Sensitivity Analysis of Cr (VI) Geogenic Leakage Under Uncertain Environmental Conditions G. Ceriotti et al. 10.1029/2018WR022857
- Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping Y. Li et al. 10.1007/s00477-022-02237-8
- An effective strategy for combining variance- and distribution-based global sensitivity analysis G. Baroni & T. Francke 10.1016/j.envsoft.2020.104851
- Operational sensitivity analysis of flooding volume in urban areas L. Sandoval et al. 10.1016/j.scs.2024.105928
- A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models A. Manzoni et al. 10.5194/hess-28-2661-2024
- Modeling solute transport and mixing in heterogeneous porous media under turbulent flow conditions E. Baioni et al. 10.1063/5.0065734
- Stochastic inverse modeling and global sensitivity analysis to assist interpretation of drilling mud losses in fractured formations A. Russian et al. 10.1007/s00477-019-01729-4
- A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models S. Razavi & H. Gupta 10.1016/j.envsoft.2018.12.002
- Integration of moment equations in a reduced-order modeling strategy for Monte Carlo simulations of groundwater flow C. Xia et al. 10.1016/j.jhydrol.2020.125257
- Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
- Influential sources of uncertainty in glyphosate biochemical degradation in soil D. la Cecilia & F. Maggi 10.1016/j.matcom.2020.01.003
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support S. Razavi et al. 10.1016/j.envsoft.2020.104954
- On Multi‐Model Assessment of Complex Degradation Paths: The Fate of Diclofenac and Its Transformation Products L. Ceresa et al. 10.1029/2022WR033183
- Uncertainty quantification and global sensitivity analysis of seismic metabarriers F. Zeighami et al. 10.1016/j.engstruct.2022.115415
- Assessing the impacts of hydrodynamic parameter uncertainties on simulated evapotranspiration in a mountainous watershed F. Maina et al. 10.1016/j.jhydrol.2022.127620
- Construction of Grid Reliability Assessment Model Based on Sensitivity Analysis L. Zhang et al. 10.1155/2022/2231704
- Stochastic inverse modeling of transient laboratory-scale three-dimensional two-phase core flooding scenarios A. Dell'Oca et al. 10.1016/j.ijheatmasstransfer.2022.123716
- Sensitivity Analysis and Quantification of the Role of Governing Transport Mechanisms and Parameters in a Gas Flow Model for Low-Permeability Porous Media L. Sandoval et al. 10.1007/s11242-022-01755-x
- Risk of pesticide pollution at the global scale F. Tang et al. 10.1038/s41561-021-00712-5
- Multi-criteria, time dependent sensitivity analysis of an event-oriented, physically-based, distributed sediment and runoff model M. Meles et al. 10.1016/j.jhydrol.2021.126268
- Sensitivity-based Parameter Calibration of Single- and Dual-continuum Coreflooding Simulation Models E. Ranaee et al. 10.1007/s11242-022-01854-9
- VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis S. Razavi et al. 10.1016/j.envsoft.2018.10.005
- Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods E. Moges et al. 10.1016/j.jhydrol.2020.125341
- Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models H. Gupta & S. Razavi 10.1029/2018WR022668
- Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling C. Zoccarato et al. 10.3390/a13070156
- Copula density-driven metrics for sensitivity analysis: Theory and application to flow and transport in porous media A. Dell'Oca et al. 10.1016/j.advwatres.2020.103714
- Sensitivity Analysis: An Operational Picture A. Dell’Oca 10.1029/2022WR033780
- Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff C. Xia et al. 10.1002/hyp.13233
- Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario M. Köppel et al. 10.1007/s10596-018-9785-x
- Uncertainty analysis for seawater intrusion in fractured coastal aquifers: Effects of fracture location, aperture, density and hydrodynamic parameters B. Koohbor et al. 10.1016/j.jhydrol.2019.01.052
- Global sensitivity analyses of multiple conceptual models with uncertain parameters driving groundwater flow in a regional-scale sedimentary aquifer E. Bianchi Janetti et al. 10.1016/j.jhydrol.2019.04.035
- A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology C. Piazzola et al. 10.1016/j.mbs.2020.108514
- Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization R. Reinecke et al. 10.5194/hess-23-4561-2019
- Technical Note: Improved sampling of behavioral subsurface flow model parameters using active subspaces D. Erdal & O. Cirpka 10.5194/hess-24-4567-2020
- Assessment and uncertainty quantification of onshore geological CO2 storage capacity in China E. Ranaee et al. 10.1016/j.ijggc.2022.103804
- VARS and HDMR Sensitivity Analysis of Groundwater Flow Modeling through an Alluvial Aquifer Subject to Tidal Effects J. Samper et al. 10.3390/w16172526
- Time- and depth-resolved mechanistic assessment of water stress in Australian ecosystems under the CMIP6 scenarios M. Guglielmo et al. 10.1016/j.advwatres.2020.103837
- The Role of Subsurface Flow on Evapotranspiration: A Global Sensitivity Analysis F. Maina & E. Siirila‐Woodburn 10.1029/2019WR026612
55 citations as recorded by crossref.
- Time‐Varying Sensitivity Analysis Reveals Relationships Between Watershed Climate and Variations in Annual Parameter Importance in Regions With Strong Interannual Variability R. Basijokaite & C. Kelleher 10.1029/2020WR028544
- Identification of parameter importance for benzene transport in the unsaturated zone using global sensitivity analysis M. Cohen et al. 10.5194/hess-28-1585-2024
- Experimental study and modeling of final fracture conductivity during acid fracturing H. Mehrjoo et al. 10.1016/j.petrol.2021.109192
- A Computationally Efficient Method for Estimating Multi‐Model Process Sensitivity Index H. Dai et al. 10.1029/2022WR033263
- Comparative Assessment of Two Global Sensitivity Approaches Considering Model and Parameter Uncertainty H. Dai et al. 10.1029/2023WR036096
- Sensitivity analysis in the wavelet domain: a comparison study G. Chiogna et al. 10.1007/s00477-023-02654-3
- Assessment of Hydrological Processes in an Ungauged Catchment in Eritrea E. Baioni et al. 10.3390/hydrology9050068
- Extremum sensitivity analysis with polynomial Monte Carlo filtering C. Wong et al. 10.1016/j.ress.2021.107609
- Uncertainty Quantification and Global Sensitivity Analysis of Subsurface Flow Parameters to Gravimetric Variations During Pumping Tests in Unconfined Aquifers F. Maina & A. Guadagnini 10.1002/2017WR021655
- Global sensitivity analysis: A Bayesian learning based polynomial chaos approach B. Bhattacharyya 10.1016/j.jcp.2020.109539
- Stochastic Inverse Modeling and Parametric Uncertainty of Sediment Deposition Processes Across Geologic Time Scales S. Patani et al. 10.1007/s11004-020-09911-z
- A two-step Bayesian network-based process sensitivity analysis for complex nitrogen reactive transport modeling H. Dai et al. 10.1016/j.jhydrol.2024.130903
- Analysis of the performance of a crude-oil desalting system based on historical data E. Ranaee et al. 10.1016/j.fuel.2020.120046
- Distribution-based sensitivity analysis from a generic input-output sample F. Pianosi & T. Wagener 10.1016/j.envsoft.2018.07.019
- Implications of uncertain bioreactive parameters on a complex reaction network of atrazine biodegradation in soil G. Porta et al. 10.1016/j.advwatres.2018.08.002
- Machine Learning Accelerates Parameter Optimization and Uncertainty Assessment of a Land Surface Model Y. Sawada 10.1029/2020JD032688
- Similarities and differences in the sensitivity of soil organic matter (SOM) dynamics to biogeochemical parameters for different vegetation inputs and climates G. Ceriotti et al. 10.1007/s00477-020-01868-z
- Probabilistic assessment of failure of infiltration structures under model and parametric uncertainty A. Dell’Oca et al. 10.1016/j.jenvman.2023.118466
- Probabilistic indicators for soil and groundwater contamination risk assessment D. la Cecilia et al. 10.1016/j.ecolind.2020.106424
- Local and Global Sensitivity Analysis of Cr (VI) Geogenic Leakage Under Uncertain Environmental Conditions G. Ceriotti et al. 10.1029/2018WR022857
- Sensitivity analysis of factors controlling earth fissures due to excessive groundwater pumping Y. Li et al. 10.1007/s00477-022-02237-8
- An effective strategy for combining variance- and distribution-based global sensitivity analysis G. Baroni & T. Francke 10.1016/j.envsoft.2020.104851
- Operational sensitivity analysis of flooding volume in urban areas L. Sandoval et al. 10.1016/j.scs.2024.105928
- A comprehensive framework for stochastic calibration and sensitivity analysis of large-scale groundwater models A. Manzoni et al. 10.5194/hess-28-2661-2024
- Modeling solute transport and mixing in heterogeneous porous media under turbulent flow conditions E. Baioni et al. 10.1063/5.0065734
- Stochastic inverse modeling and global sensitivity analysis to assist interpretation of drilling mud losses in fractured formations A. Russian et al. 10.1007/s00477-019-01729-4
- A multi-method Generalized Global Sensitivity Matrix approach to accounting for the dynamical nature of earth and environmental systems models S. Razavi & H. Gupta 10.1016/j.envsoft.2018.12.002
- Integration of moment equations in a reduced-order modeling strategy for Monte Carlo simulations of groundwater flow C. Xia et al. 10.1016/j.jhydrol.2020.125257
- Global Sensitivity Analysis for Multiple Interpretive Models With Uncertain Parameters A. Dell'Oca et al. 10.1029/2019WR025754
- Influential sources of uncertainty in glyphosate biochemical degradation in soil D. la Cecilia & F. Maggi 10.1016/j.matcom.2020.01.003
- The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support S. Razavi et al. 10.1016/j.envsoft.2020.104954
- On Multi‐Model Assessment of Complex Degradation Paths: The Fate of Diclofenac and Its Transformation Products L. Ceresa et al. 10.1029/2022WR033183
- Uncertainty quantification and global sensitivity analysis of seismic metabarriers F. Zeighami et al. 10.1016/j.engstruct.2022.115415
- Assessing the impacts of hydrodynamic parameter uncertainties on simulated evapotranspiration in a mountainous watershed F. Maina et al. 10.1016/j.jhydrol.2022.127620
- Construction of Grid Reliability Assessment Model Based on Sensitivity Analysis L. Zhang et al. 10.1155/2022/2231704
- Stochastic inverse modeling of transient laboratory-scale three-dimensional two-phase core flooding scenarios A. Dell'Oca et al. 10.1016/j.ijheatmasstransfer.2022.123716
- Sensitivity Analysis and Quantification of the Role of Governing Transport Mechanisms and Parameters in a Gas Flow Model for Low-Permeability Porous Media L. Sandoval et al. 10.1007/s11242-022-01755-x
- Risk of pesticide pollution at the global scale F. Tang et al. 10.1038/s41561-021-00712-5
- Multi-criteria, time dependent sensitivity analysis of an event-oriented, physically-based, distributed sediment and runoff model M. Meles et al. 10.1016/j.jhydrol.2021.126268
- Sensitivity-based Parameter Calibration of Single- and Dual-continuum Coreflooding Simulation Models E. Ranaee et al. 10.1007/s11242-022-01854-9
- VARS-TOOL: A toolbox for comprehensive, efficient, and robust sensitivity and uncertainty analysis S. Razavi et al. 10.1016/j.envsoft.2018.10.005
- Uncertainty propagation in coupled hydrological models using winding stairs and null-space Monte Carlo methods E. Moges et al. 10.1016/j.jhydrol.2020.125341
- Revisiting the Basis of Sensitivity Analysis for Dynamical Earth System Models H. Gupta & S. Razavi 10.1029/2018WR022668
- Generalized Polynomial Chaos Expansion for Fast and Accurate Uncertainty Quantification in Geomechanical Modelling C. Zoccarato et al. 10.3390/a13070156
- Copula density-driven metrics for sensitivity analysis: Theory and application to flow and transport in porous media A. Dell'Oca et al. 10.1016/j.advwatres.2020.103714
- Sensitivity Analysis: An Operational Picture A. Dell’Oca 10.1029/2022WR033780
- Assessment of alternative adsorption models and global sensitivity analysis to characterize hexavalent chromium loss from soil to surface runoff C. Xia et al. 10.1002/hyp.13233
- Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario M. Köppel et al. 10.1007/s10596-018-9785-x
- Uncertainty analysis for seawater intrusion in fractured coastal aquifers: Effects of fracture location, aperture, density and hydrodynamic parameters B. Koohbor et al. 10.1016/j.jhydrol.2019.01.052
- Global sensitivity analyses of multiple conceptual models with uncertain parameters driving groundwater flow in a regional-scale sedimentary aquifer E. Bianchi Janetti et al. 10.1016/j.jhydrol.2019.04.035
- A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology C. Piazzola et al. 10.1016/j.mbs.2020.108514
- Spatially distributed sensitivity of simulated global groundwater heads and flows to hydraulic conductivity, groundwater recharge, and surface water body parameterization R. Reinecke et al. 10.5194/hess-23-4561-2019
- Technical Note: Improved sampling of behavioral subsurface flow model parameters using active subspaces D. Erdal & O. Cirpka 10.5194/hess-24-4567-2020
- Assessment and uncertainty quantification of onshore geological CO2 storage capacity in China E. Ranaee et al. 10.1016/j.ijggc.2022.103804
- VARS and HDMR Sensitivity Analysis of Groundwater Flow Modeling through an Alluvial Aquifer Subject to Tidal Effects J. Samper et al. 10.3390/w16172526
2 citations as recorded by crossref.
Latest update: 23 Nov 2024
Short summary
We propose new metrics to assist global sensitivity analysis of Earth systems. Our approach allows assessing the impact of model parameters on the first four statistical moments of a target model output, allowing us to ascertain which parameters can affect some moments of the model output pdf while being uninfluential to others. Our approach is fully compatible with analysis in the context of model complexity reduction, design of experiment, uncertainty quantification and risk assessment.
We propose new metrics to assist global sensitivity analysis of Earth systems. Our approach...