Articles | Volume 22, issue 5
https://doi.org/10.5194/hess-22-2903-2018
© Author(s) 2018. 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-22-2903-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 May 2018
Research article |
| 16 May 2018
| 16 May 2018
Time-varying parameter models for catchments with land use change: the importance of model structure
Sahani Pathiraja
CORRESPONDING AUTHOR
Institut für Mathematik,
Universität Potsdam,
Potsdam,
Germany
Water Research Centre,
School of Civil and Environmental Engineering,
University of New South Wales,
Sydney, NSW,
Australia
Daniela Anghileri
Institute of Environmental Engineering,
ETH Zurich,
Zurich,
Switzerland
Paolo Burlando
Institute of Environmental Engineering,
ETH Zurich,
Zurich,
Switzerland
Ashish Sharma
Water Research Centre,
School of Civil and Environmental Engineering,
University of New South Wales,
Sydney, NSW,
Australia
Lucy Marshall
Water Research Centre,
School of Civil and Environmental Engineering,
University of New South Wales,
Sydney, NSW,
Australia
Hamid Moradkhani
Department of Civil, Construction and Environmental Engineering,
University of Alabama,
Tuscaloosa, Alabama,
USA
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- Reducing the uncertainty of time-varying hydrological model parameters using spatial coherence within a hierarchical Bayesian framework Z. Pan et al. 10.1016/j.jhydrol.2019.123927
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- An Efficient Estimation of Time‐Varying Parameters of Dynamic Models by Combining Offline Batch Optimization and Online Data Assimilation Y. Sawada 10.1029/2021MS002882
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- A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al. 10.5194/hess-24-5859-2020
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- A novel floodwave response model for time-varying streambed conductivity using space-time collocation Trefftz method J. Fang et al. 10.1016/j.jhydrol.2023.129996
- Assimilation of remotely sensed evapotranspiration products for streamflow simulation based on the CAMELS data sets C. Deng et al. 10.1016/j.jhydrol.2023.130574
- Comparison of data assimilation based approach for daily streamflow simulation under multiple scenarios in Ganjiang River Basin W. Weiguang et al. 10.18307/2023.0323
- A dynamic land use/land cover input helps in picturing the Sahelian paradox: Assessing variability and attribution of changes in surface runoff in a Sahelian watershed R. Yonaba et al. 10.1016/j.scitotenv.2020.143792
- Effects of Model Spatial Structure and Basin Characteristics on the Performance of Three Hydrologic Models F. Kacar et al. 10.1007/s11269-025-04308-1
- The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framework P. Abbaszadeh et al. 10.1029/2018WR023629
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- Assessing the Effects of Urban Landscape Area and Pattern Change on Flood Events in Qinhuai River Basin, China Y. Yuan et al. 10.1061/(ASCE)HE.1943-5584.0001993
- Crossing the rural–urban boundary in hydrological modelling: How do conceptual rainfall–runoff models handle the specificities of urbanized catchments? M. Saadi et al. 10.1002/hyp.13808
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Latest update: 04 Nov 2025
Short summary
Hydrologic modeling methodologies must be developed that are capable of predicting runoff in catchments with changing land cover conditions. This article investigates the efficacy of a recently developed approach that allows for runoff prediction in catchments with unknown land cover changes, through experimentation in a deforested catchment in Vietnam. The importance of key elements of the method in ensuring its success, such as the chosen hydrologic model, is investigated.
Hydrologic modeling methodologies must be developed that are capable of predicting runoff in...
