Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4447-2022
© Author(s) 2022. 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-26-4447-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumption
School of Material, Energy, Water and Environmental Sciences, The Nelson Mandela African Institution of Science and Technology, Arusha 447, Tanzania
Department of Hydrology and Hydraulic Engineering, Vrije
Universiteit, Pleinlaan 2, 1050 Brussels, Belgium
Celray James Chawanda
Department of Hydrology and Hydraulic Engineering, Vrije
Universiteit, Pleinlaan 2, 1050 Brussels, Belgium
Hans C. Komakech
School of Material, Energy, Water and Environmental Sciences, The Nelson Mandela African Institution of Science and Technology, Arusha 447, Tanzania
Albert Nkwasa
Department of Hydrology and Hydraulic Engineering, Vrije
Universiteit, Pleinlaan 2, 1050 Brussels, Belgium
Ann van Griensven
Department of Hydrology and Hydraulic Engineering, Vrije
Universiteit, Pleinlaan 2, 1050 Brussels, Belgium
IHE-Delft Institute for Water Education, Westvest 7, 2611 AX Delft, the Netherlands
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Cited
12 citations as recorded by crossref.
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- Partitioning Green and Blue Evapotranspiration by Improving Budyko Equation Using Remote Sensing Observations in an Arid/Semi-Arid Inland River Basin in China D. Zhou et al. 10.3390/rs17040612
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- Integrating Land Use/Land Cover and Climate Change Projections to Assess Future Hydrological Responses: A CMIP6-Based Multi-Scenario Approach in the Omo–Gibe River Basin, Ethiopia P. Lukas et al. 10.3390/cli13030051
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10 citations as recorded by crossref.
- A novel partitioning of gross primary production and water use efficiency for sustaining water and food security using Budyko hypothesis D. Chatterjee et al. 10.1016/j.scitotenv.2023.169283
- Identification of erosion-prone areas using morphometric, hypsometric, and compound factor approaches in the Ruvu River Basin, Tanzania D. Michael et al. 10.1007/s40808-023-01829-9
- Response of streamflow components and evapotranspiration to changes in tree species composition in a subboreal permafrost watershed in the Greater Khingan Mountains of Northeastern China P. Hu et al. 10.1016/j.ecolind.2025.113295
- Partitioning Green and Blue Evapotranspiration by Improving Budyko Equation Using Remote Sensing Observations in an Arid/Semi-Arid Inland River Basin in China D. Zhou et al. 10.3390/rs17040612
- Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. 10.1007/s10113-022-02008-9
- Integrating Land Use/Land Cover and Climate Change Projections to Assess Future Hydrological Responses: A CMIP6-Based Multi-Scenario Approach in the Omo–Gibe River Basin, Ethiopia P. Lukas et al. 10.3390/cli13030051
- A framework of payments for water-related ecosystem services (PWES) based on green water management C. Feng et al. 10.1016/j.jclepro.2023.138930
- How does building healthy soils impact sustainable use of water resources in irrigated agriculture? S. Acevedo et al. 10.1525/elementa.2022.00043
- Spatio-temporal variability and trend of blue-green water resources in the Kaidu River Basin, an arid region of China Y. Cai et al. 10.1016/j.ejrh.2023.101640
- Water and socioeconomic inequalities: spatial analysis of water consumption in Brazil T. Xavier de Melo Lopes et al. 10.1080/1573062X.2024.2397791
2 citations as recorded by crossref.
- Dynamic parameterization of soil surface characteristics for hydrological models in agricultural catchments T. Grangeon et al. 10.1016/j.catena.2022.106257
- A remote sensing-based method for high-resolution crop water footprint quantification in an irrigation district with complex planting structure J. Wang et al. 10.1016/j.jhydrol.2022.129030
Latest update: 01 Apr 2025
Short summary
Studies using agro-hydrological models, like the Soil and Water Assessment Tool (SWAT), to map evapotranspiration (ET) do not account for cropping seasons. A comparison between the default SWAT+ set-up (with static land use representation) and a dynamic SWAT+ model set-up (with seasonal land use representation) is made by spatial mapping of the ET. The results show that ET with seasonal representation is closer to remote sensing estimates, giving better performance than ET with static land use.
Studies using agro-hydrological models, like the Soil and Water Assessment Tool (SWAT), to map...