Articles | Volume 26, issue 1
https://doi.org/10.5194/hess-26-71-2022
© 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-26-71-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
06 Jan 2022
Research article | Highlight paper |
| 06 Jan 2022
| 06 Jan 2022
Improved representation of agricultural land use and crop management for large-scale hydrological impact simulation in Africa using SWAT+
Hydrology and Hydraulic Engineering Department, Vrije Universiteit
Brussel (VUB), 1050 Brussels, Belgium
Celray James Chawanda
Hydrology and Hydraulic Engineering Department, Vrije Universiteit
Brussel (VUB), 1050 Brussels, Belgium
Jonas Jägermeyr
NASA Goddard Institute for Space Studies, New York, NY 10025, USA
Center for Climate Systems Research, Columbia University, New York,
NY 10025, USA
Climate Resilience, Potsdam Institute for Climate Impact Research
(PIK), Member of the Leibniz Association, 14412, Potsdam, Germany
Ann van Griensven
Hydrology and Hydraulic Engineering Department, Vrije Universiteit
Brussel (VUB), 1050 Brussels, Belgium
Water Science and Engineering Department, IHE Delft Institute for
Water Education, 2611 AX Delft, The Netherlands
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Cited
20 citations as recorded by crossref.
- Comparison of process-based and statistical approaches for simulation and projections of rainfed crop yields M. Eini et al. 10.1016/j.agwat.2022.108107
- Innovative approach to prognostic plant growth modeling in SWAT+ for forest and perennial vegetation in tropical and Sub-Tropical climates T. Abitew et al. 10.1016/j.hydroa.2023.100156
- Remote Sensing-Based Classification of Winter Irrigation Fields Using the Random Forest Algorithm and GF-1 Data: A Case Study of Jinzhong Basin, North China Q. Su et al. 10.3390/rs15184599
- A Scientometric Analysis of Research Trends and Knowledge Structure on the Climate Effects of Irrigation between 1993 and 2022 S. Huang et al. 10.3390/agronomy13102482
- Assessing cropland disagreement in Tanzania using machine learning methods with Sentinel-2 and Planet Scope imagery V. Ogweno et al. 10.1080/01431161.2023.2274320
- Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review M. Fernández-Urrutia et al. 10.3390/s23156932
- Exploring adaptive capacities in Mediterranean agriculture: Insights from Central Italy's Ombrone catchment L. Villani et al. 10.1016/j.agsy.2024.103903
- Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin A. Nkwasa et al. 10.1016/j.ejrh.2022.101152
- Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020 J. Deines et al. 10.1016/j.rse.2023.113551
- Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development N. Čerkasova et al. 10.1016/j.agsy.2023.103695
- Simulation of Pesticide and Metabolite Concentrations Using SWAT+ Landscape Routing and Conditional Management Applications H. Rathjens et al. 10.3390/w14091332
- Combined impacts of climate and land-use change on future water resources in Africa C. Chawanda et al. 10.5194/hess-28-117-2024
- Can Turbidity Data from Remote Sensing Explain Modelled Spatial and Temporal Sediment Loading Patterns? An Application in the Lake Tana Basin A. Nkwasa et al. 10.1007/s10666-024-09972-y
- Representation of Hydrological Components under a Changing Climate—A Case Study of the Uruguay River Basin Using the New Version of the Soil and Water Assessment Tool Model (SWAT+) O. Barresi Armoa et al. 10.3390/w15142604
- Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. 10.1007/s10113-022-02008-9
- The impact of overgrazing on water fluxes in a semi-arid watershed – The suitability of watershed scale modeling in a data scarce area S. Julich et al. 10.1016/j.ejrh.2022.101178
- Localizing agricultural impacts of 21 century climate pathways in data scarce catchments: A case study of the Nyando catchment, Kenya K. Lekarkar et al. 10.1016/j.agwat.2024.108696
- A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions S. Aloui et al. 10.1016/j.jenvman.2022.116799
- SWAT+ model setup verification tool: SWATdoctR S. Plunge et al. 10.1016/j.envsoft.2023.105878
- Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. 10.1007/s10584-024-03702-9
20 citations as recorded by crossref.
- Comparison of process-based and statistical approaches for simulation and projections of rainfed crop yields M. Eini et al. 10.1016/j.agwat.2022.108107
- Innovative approach to prognostic plant growth modeling in SWAT+ for forest and perennial vegetation in tropical and Sub-Tropical climates T. Abitew et al. 10.1016/j.hydroa.2023.100156
- Remote Sensing-Based Classification of Winter Irrigation Fields Using the Random Forest Algorithm and GF-1 Data: A Case Study of Jinzhong Basin, North China Q. Su et al. 10.3390/rs15184599
- A Scientometric Analysis of Research Trends and Knowledge Structure on the Climate Effects of Irrigation between 1993 and 2022 S. Huang et al. 10.3390/agronomy13102482
- Assessing cropland disagreement in Tanzania using machine learning methods with Sentinel-2 and Planet Scope imagery V. Ogweno et al. 10.1080/01431161.2023.2274320
- Identification of Paddy Croplands and Its Stages Using Remote Sensors: A Systematic Review M. Fernández-Urrutia et al. 10.3390/s23156932
- Exploring adaptive capacities in Mediterranean agriculture: Insights from Central Italy's Ombrone catchment L. Villani et al. 10.1016/j.agsy.2024.103903
- Regionalization of the SWAT+ model for projecting climate change impacts on sediment yield: An application in the Nile basin A. Nkwasa et al. 10.1016/j.ejrh.2022.101152
- Field-scale dynamics of planting dates in the US Corn Belt from 2000 to 2020 J. Deines et al. 10.1016/j.rse.2023.113551
- Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: National Agroecosystem Model Development N. Čerkasova et al. 10.1016/j.agsy.2023.103695
- Simulation of Pesticide and Metabolite Concentrations Using SWAT+ Landscape Routing and Conditional Management Applications H. Rathjens et al. 10.3390/w14091332
- Combined impacts of climate and land-use change on future water resources in Africa C. Chawanda et al. 10.5194/hess-28-117-2024
- Can Turbidity Data from Remote Sensing Explain Modelled Spatial and Temporal Sediment Loading Patterns? An Application in the Lake Tana Basin A. Nkwasa et al. 10.1007/s10666-024-09972-y
- Representation of Hydrological Components under a Changing Climate—A Case Study of the Uruguay River Basin Using the New Version of the Soil and Water Assessment Tool Model (SWAT+) O. Barresi Armoa et al. 10.3390/w15142604
- Can the cropping systems of the Nile basin be adapted to climate change? A. Nkwasa et al. 10.1007/s10113-022-02008-9
- The impact of overgrazing on water fluxes in a semi-arid watershed – The suitability of watershed scale modeling in a data scarce area S. Julich et al. 10.1016/j.ejrh.2022.101178
- Localizing agricultural impacts of 21 century climate pathways in data scarce catchments: A case study of the Nyando catchment, Kenya K. Lekarkar et al. 10.1016/j.agwat.2024.108696
- A review of Soil and Water Assessment Tool (SWAT) studies of Mediterranean catchments: Applications, feasibility, and future directions S. Aloui et al. 10.1016/j.jenvman.2022.116799
- SWAT+ model setup verification tool: SWATdoctR S. Plunge et al. 10.1016/j.envsoft.2023.105878
- Historical climate impact attribution of changes in river flow and sediment loads at selected gauging stations in the Nile basin A. Nkwasa et al. 10.1007/s10584-024-03702-9
Latest update: 19 Apr 2024
Short summary
We present an approach on how to incorporate crop phenology in a regional hydrological model using decision tables and global datasets of rainfed and irrigated cropland with the associated cropping calendar and management practices. Results indicate improved temporal patterns of leaf area index (LAI) and evapotranspiration (ET) simulations in comparison with remote sensing data. In addition, the improvement of the cropping season also helps to improve soil erosion estimates in cultivated areas.
We present an approach on how to incorporate crop phenology in a regional hydrological model...
