Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-281-2017
© 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-21-281-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Jan 2017
Research article |
| 12 Jan 2017
On the non-stationarity of hydrological response in anthropogenically unaffected catchments: an Australian perspective
Hoori Ajami
CORRESPONDING AUTHOR
School of Civil and Environmental Engineering, University of New South
Wales, Sydney, Australia
Department of Environmental Sciences, University of California
Riverside, Riverside, CA, USA
Ashish Sharma
School of Civil and Environmental Engineering, University of New South
Wales, Sydney, Australia
Lawrence E. Band
Department of Geography and Institute for the Environment, University
of North Carolina, Chapel Hill, NC, USA
Jason P. Evans
Climate Change Research Centre, University of New South Wales, Sydney,
Australia
Narendra K. Tuteja
Environment and Research Division, Bureau of Meteorology, Canberra,
Australian Capital Territory, Australia
Gnanathikkam E. Amirthanathan
Environment and Research Division, Bureau of Meteorology, Melbourne,
Victoria, Australia
Mohammed A. Bari
Environment and Research Division, Bureau of Meteorology, Perth,
Western Australia, Australia
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- Vegetation as a driver of shifts in rainfall-runoff relationship: Synthesising hydrological evidence with remote sensing H. Gardiya Weligamage et al. 10.1016/j.jhydrol.2024.132389
- Revisiting the tension water storage capacity distribution in conceptual rainfall-runoff modeling: A large-sample approach Y. Zhou et al. 10.1016/j.jhydrol.2024.131834
- Is Past Variability a Suitable Proxy for Future Change? A Virtual Catchment Experiment C. Stephens et al. 10.1029/2019WR026275
- The Role of Floodplain Topography in Deriving Basin Discharge Using Passive Microwave Remote Sensing S. Kim & A. Sharma 10.1029/2018WR023627
- Assessment of Climate Change Impacts on Reservoir Storage Reliability, Resilience, and Vulnerability Using a Multivariate Frequency Bias Correction Approach H. Nguyen et al. 10.1029/2019WR026022
- Partitioning of Precipitation Into Terrestrial Water Balance Components Under a Drying Climate H. Gardiya Weligamage et al. 10.1029/2022WR033538
- Using Remotely Sensed Information to Improve Vegetation Parameterization in a Semi-Distributed Hydrological Model (SMART) for Upland Catchments in Australia S. Kim et al. 10.3390/rs12183051
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- Influence of changes in rainfall and soil moisture on trends in flooding C. Wasko & R. Nathan 10.1016/j.jhydrol.2019.05.054
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- Evaluation of static and dynamic land use data for watershed hydrologic process simulation: A case study in Gummara watershed, Ethiopia A. Teklay et al. 10.1016/j.catena.2018.08.013
- Comparing instrumental, palaeoclimate, and projected rainfall data: Implications for water resources management and hydrological modelling M. Armstrong et al. 10.1016/j.ejrh.2020.100728
- Revisiting Water Supply Rule Curves with Hedging Theory for Climate Change Adaptation W. Wan et al. 10.3390/su11071827
- Bounding linear rainfall-runoff models with fractional derivatives applied to a barren catchment of the Jordan Rift Valley K. Unami et al. 10.1016/j.jhydrol.2020.125879
- The residual mass severity index – A new method to characterize sustained hydroclimatic extremes R. Afroz et al. 10.1016/j.jhydrol.2021.126724
- Application of Climate Assessment Tool (CAT) to estimate climate variability impacts on nutrient loading from local watersheds Y. Ouyang et al. 10.1016/j.jhydrol.2018.06.017
- A framework for drought monitoring and assessment from a drought propagation perspective under non-stationary environments X. Wei et al. 10.1016/j.scitotenv.2024.175981
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- Flood process types and runoff coefficient variability in climatic regions of Iran A. Jahanshahi & M. Booij 10.1080/02626667.2024.2302420
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Latest update: 21 Aug 2025
Short summary
We present the first data-based framework for explaining why catchments behave in a non-stationary manner, even when they are unaffected by deforestation or urbanization. The role of vegetation dynamics in streamflow is indicated by similar or greater sensitivity of annual runoff ratio to annual fractional vegetation cover. We formulated a novel ecohydrologic catchment classification framework that incorporates the role of vegetation dynamics in catchment-scale water partitioning.
We present the first data-based framework for explaining why catchments behave in a...
