Articles | Volume 17, issue 4
https://doi.org/10.5194/hess-17-1319-2013
© Author(s) 2013. 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-17-1319-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 Apr 2013
Research article |
| 08 Apr 2013
A method for low-flow estimation at ungauged sites: a case study in Wallonia (Belgium)
M. Grandry
Univ. Liège – Gembloux Agro-Bio Tech., Soil–Water Systems, Passage des Déportés, 2, 5030 Gembloux, Belgium
S. Gailliez
Univ. Liège – Gembloux Agro-Bio Tech., Soil–Water Systems, Passage des Déportés, 2, 5030 Gembloux, Belgium
C. Sohier
Univ. Liège – Gembloux Agro-Bio Tech., Soil–Water Systems, Passage des Déportés, 2, 5030 Gembloux, Belgium
A. Verstraete
Univ. Liège – Gembloux Agro-Bio Tech., Soil–Water Systems, Passage des Déportés, 2, 5030 Gembloux, Belgium
A. Degré
Univ. Liège – Gembloux Agro-Bio Tech., Soil–Water Systems, Passage des Déportés, 2, 5030 Gembloux, Belgium
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Cited
16 citations as recorded by crossref.
- Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin K. Ahn & R. Palmer 10.1002/hyp.10876
- Sensitivity of methods for calculating environmental flows based on hydrological characteristics of watercourses regarding the hydropower potential of rivers D. Młyński et al. 10.1016/j.jclepro.2019.119527
- Hydrological modelling in small ungauged catchments U. COMINI et al. 10.1590/0001-3765202020180687
- Updating estimates of low-streamflow statistics to account for possible trends A. Blum et al. 10.1080/02626667.2019.1655148
- Quantitative analysis of the impacts of climate and land-cover changes on urban flood runoffs: a case of Dar es Salaam, Tanzania P. Mzava et al. 10.2166/wcc.2021.026
- Cumulative effects of meteorological factors on low-flow change in the upper Yellow River X. Li et al. 10.1007/s00704-024-05137-9
- Hazards resulting from hydrological extremes in the upstream catchment of the Prut River F. Corduneanu et al. 10.1134/S0097807816010061
- A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States K. Ahn et al. 10.1002/2016WR019605
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
- Characterizing and understanding the variability of streamflow drought indicators within the USA M. Pournasiri Poshtiri et al. 10.1080/02626667.2018.1534240
- Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula C. Jiang et al. 10.1002/hyp.10288
- Bivariate low flow return period analysis in the Mahanadi River basin, India using copula B. Sahoo et al. 10.1080/15715124.2019.1576698
- Developing Regional Hydrological Drought Risk Models through Ordinary and Principal Component Regression Using Low-Flow Indexes in Susurluk Basin, Turkey Ç. Gürler et al. 10.3390/w16111473
- A Hybrid Approach for Regional Low-Flow Frequency Analysis for the Upper Tigris and Euphrates Basin A. Serdar Anli et al. 10.1061/JHYEFF.HEENG-5698
- Utilisation d’une base de données de jaugeages à une échelle régionale pour la réalisation et la mise à jour d’un référentiel d’étiage B. Grelier et al. 10.1080/27678490.2023.2287051
- Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing S. Liu et al. 10.1016/j.scitotenv.2019.06.025
16 citations as recorded by crossref.
- Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin K. Ahn & R. Palmer 10.1002/hyp.10876
- Sensitivity of methods for calculating environmental flows based on hydrological characteristics of watercourses regarding the hydropower potential of rivers D. Młyński et al. 10.1016/j.jclepro.2019.119527
- Hydrological modelling in small ungauged catchments U. COMINI et al. 10.1590/0001-3765202020180687
- Updating estimates of low-streamflow statistics to account for possible trends A. Blum et al. 10.1080/02626667.2019.1655148
- Quantitative analysis of the impacts of climate and land-cover changes on urban flood runoffs: a case of Dar es Salaam, Tanzania P. Mzava et al. 10.2166/wcc.2021.026
- Cumulative effects of meteorological factors on low-flow change in the upper Yellow River X. Li et al. 10.1007/s00704-024-05137-9
- Hazards resulting from hydrological extremes in the upstream catchment of the Prut River F. Corduneanu et al. 10.1134/S0097807816010061
- A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States K. Ahn et al. 10.1002/2016WR019605
- Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
- Characterizing and understanding the variability of streamflow drought indicators within the USA M. Pournasiri Poshtiri et al. 10.1080/02626667.2018.1534240
- Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula C. Jiang et al. 10.1002/hyp.10288
- Bivariate low flow return period analysis in the Mahanadi River basin, India using copula B. Sahoo et al. 10.1080/15715124.2019.1576698
- Developing Regional Hydrological Drought Risk Models through Ordinary and Principal Component Regression Using Low-Flow Indexes in Susurluk Basin, Turkey Ç. Gürler et al. 10.3390/w16111473
- A Hybrid Approach for Regional Low-Flow Frequency Analysis for the Upper Tigris and Euphrates Basin A. Serdar Anli et al. 10.1061/JHYEFF.HEENG-5698
- Utilisation d’une base de données de jaugeages à une échelle régionale pour la réalisation et la mise à jour d’un référentiel d’étiage B. Grelier et al. 10.1080/27678490.2023.2287051
- Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing S. Liu et al. 10.1016/j.scitotenv.2019.06.025
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