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
- Quantifying the flood coincidence likelihood between Huai River and its tributaries considering the nonstationarity Z. Zhang et al. 10.1016/j.ejrh.2024.101887
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- A Novel Physics‐Aware Machine Learning‐Based Dynamic Error Correction Model for Improving Streamflow Forecast Accuracy A. Roy et al. 10.1029/2022WR033318
- 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 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
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Latest update: 22 Aug 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...
