Articles | Volume 24, issue 9
https://doi.org/10.5194/hess-24-4601-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4601-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An uncertainty partition approach for inferring interactive hydrologic risks
Department of Civil and Environmental Engineering, Brunel University, London, Uxbridge, Middlesex, UB8 3PH, United Kingdom
Kai Huang
Faculty of Engineering and Applied Sciences, University of Regina,
Regina, SK, S4S0A2, Canada
Guohe Huang
CORRESPONDING AUTHOR
Institute for Energy, Environment and Sustainable Communities,
University of Regina, Regina,SK, S4S 0A2, Canada
Yongping Li
School of Environment, Beijing Normal University, Beijing 100875,
China
Feng Wang
School of Environment, Beijing Normal University, Beijing 100875,
China
Viewed
Total article views: 2,253 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,625 | 568 | 60 | 2,253 | 57 | 56 |
- HTML: 1,625
- PDF: 568
- XML: 60
- Total: 2,253
- BibTeX: 57
- EndNote: 56
Total article views: 1,712 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Sep 2020)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,310 | 358 | 44 | 1,712 | 33 | 31 |
- HTML: 1,310
- PDF: 358
- XML: 44
- Total: 1,712
- BibTeX: 33
- EndNote: 31
Total article views: 541 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 11 Oct 2019)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
315 | 210 | 16 | 541 | 24 | 25 |
- HTML: 315
- PDF: 210
- XML: 16
- Total: 541
- BibTeX: 24
- EndNote: 25
Viewed (geographical distribution)
Total article views: 2,253 (including HTML, PDF, and XML)
Thereof 2,134 with geography defined
and 119 with unknown origin.
Total article views: 1,712 (including HTML, PDF, and XML)
Thereof 1,657 with geography defined
and 55 with unknown origin.
Total article views: 541 (including HTML, PDF, and XML)
Thereof 477 with geography defined
and 64 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
19 citations as recorded by crossref.
- Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models W. Qi et al. 10.1016/j.jhydrol.2021.126680
- Towards reliable uncertainty quantification for hydrologic predictions, part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework Y. Fan et al. 10.1016/j.jhydrol.2022.128136
- Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al. 10.1016/j.jhydrol.2021.126022
- Uncertainty quantification and partition for multivariate risk inferences through a factorial multimodel Bayesian copula (FMBC) system Y. Fan et al. 10.1016/j.jhydrol.2021.126406
- Hydrologic risk from consecutive dry and wet extremes at the global scale M. Rashid & T. Wahl 10.1088/2515-7620/ac77de
- A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management Y. Wang et al. 10.1016/j.agwat.2022.108069
- Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
- Tracing design flood hydrograph uncertainty in reservoir flood control system A. Guo et al. 10.1016/j.apm.2021.09.012
- Development of a disaggregated multi-level factorial hydrologic data assimilation model F. Wang et al. 10.1016/j.jhydrol.2022.127802
- Impacts of climate variations on non-stationarity of streamflow over Canada F. Wang et al. 10.1016/j.envres.2021.111118
- Multi-level factorial analysis for ensemble data-driven hydrological prediction F. Wang et al. 10.1016/j.advwatres.2021.103948
- Tracing Uncertainty Contributors in the Multi‐Hazard Risk Analysis for Compound Extremes Y. Fan et al. 10.1029/2021EF002280
- An optimization model for water resources allocation in Dongjiang River Basin of Guangdong-Hong Kong-Macao Greater Bay Area under multiple complexities Y. Huang et al. 10.1016/j.scitotenv.2022.153198
- Partition of one-dimensional river flood routing uncertainty due to boundary conditions and riverbed roughness J. Wang et al. 10.1016/j.jhydrol.2022.127660
- Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China Y. Fan 10.1186/s40068-022-00264-6
- A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis F. Wang et al. 10.3389/feart.2021.742331
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions K. Li et al. 10.1029/2021WR031557
- Robust Subsampling ANOVA Methods for Sensitivity Analysis of Water Resource and Environmental Models F. Wang et al. 10.1007/s11269-020-02608-2
18 citations as recorded by crossref.
- Impact of the number of donor catchments and the efficiency threshold on regionalization performance of hydrological models W. Qi et al. 10.1016/j.jhydrol.2021.126680
- Towards reliable uncertainty quantification for hydrologic predictions, part II: Characterizing impacts of uncertain factors through an iterative factorial data assimilation framework Y. Fan et al. 10.1016/j.jhydrol.2022.128136
- Development of clustered polynomial chaos expansion model for stochastic hydrological prediction F. Wang et al. 10.1016/j.jhydrol.2021.126022
- Uncertainty quantification and partition for multivariate risk inferences through a factorial multimodel Bayesian copula (FMBC) system Y. Fan et al. 10.1016/j.jhydrol.2021.126406
- Hydrologic risk from consecutive dry and wet extremes at the global scale M. Rashid & T. Wahl 10.1088/2515-7620/ac77de
- A factorial inexact copula stochastic programming (FICSP) approach for water-energy- food nexus system management Y. Wang et al. 10.1016/j.agwat.2022.108069
- Multivariate Hydrologic Risk Analysis for River Thames R. Gabriel & Y. Fan 10.3390/w14030384
- Tracing design flood hydrograph uncertainty in reservoir flood control system A. Guo et al. 10.1016/j.apm.2021.09.012
- Development of a disaggregated multi-level factorial hydrologic data assimilation model F. Wang et al. 10.1016/j.jhydrol.2022.127802
- Impacts of climate variations on non-stationarity of streamflow over Canada F. Wang et al. 10.1016/j.envres.2021.111118
- Multi-level factorial analysis for ensemble data-driven hydrological prediction F. Wang et al. 10.1016/j.advwatres.2021.103948
- Tracing Uncertainty Contributors in the Multi‐Hazard Risk Analysis for Compound Extremes Y. Fan et al. 10.1029/2021EF002280
- An optimization model for water resources allocation in Dongjiang River Basin of Guangdong-Hong Kong-Macao Greater Bay Area under multiple complexities Y. Huang et al. 10.1016/j.scitotenv.2022.153198
- Partition of one-dimensional river flood routing uncertainty due to boundary conditions and riverbed roughness J. Wang et al. 10.1016/j.jhydrol.2022.127660
- Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China Y. Fan 10.1186/s40068-022-00264-6
- A Statistical Hydrological Model for Yangtze River Watershed Based on Stepwise Cluster Analysis F. Wang et al. 10.3389/feart.2021.742331
- Copulas for hydroclimatic analysis: A practice‐oriented overview F. Tootoonchi et al. 10.1002/wat2.1579
- Development of a Joint Probabilistic Rainfall‐Runoff Model for High‐to‐Extreme Flow Projections Under Changing Climatic Conditions K. Li et al. 10.1029/2021WR031557
1 citations as recorded by crossref.
Latest update: 04 Nov 2024