Articles | Volume 26, issue 16
https://doi.org/10.5194/hess-26-4447-2022
https://doi.org/10.5194/hess-26-4447-2022
Research article
 | 
29 Aug 2022
Research article |  | 29 Aug 2022

Representation of seasonal land use dynamics in SWAT+ for improved assessment of blue and green water consumption

Anna Msigwa, Celray James Chawanda, Hans C. Komakech, Albert Nkwasa, and Ann van Griensven

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Cited articles

Abiodun, O. O., Guan, H., Post, V. E. A., and Batelaan, O.: Comparison of MODIS and SWAT evapotranspiration over a complex terrain at different spatial scales, Hydrol. Earth Syst. Sci., 22, 2775–2794, https://doi.org/10.5194/hess-22-2775-2018, 2018. 
Alemayehu, T., van Griensven, A., and Bauwens, W.: Evaluating CFSR and WATCH data as input to SWAT for the estimation of the potential evapotranspiration in a data-scarce Eastern-African catchment, J. Hydrol. Eng., 21, 1–16, https://doi.org/10.1061/(ASCE)HE.1943-5584.0001305, 2016. 
Amri, R., Zribi, M., Lili-Chabaane, Z., Duchemin, B., Gruhier, C., and Chehbouni, A.: Analysis of vegetation behavior in a North African semi-arid region, Using SPOT-VEGETATION NDVI data, Remote Sens., 3, 2568–2590, https://doi.org/10.3390/rs3122568, 2011.  
Anderson, J. R., Hardy, E. E., Roach, J. T., Witmer, R. E., Anderson, B. J. R., Hardy, E. E., Roach, J. T., and Witmer, R. E.: A land use and land cover classification system for use with remote sensor data, Vol. 964, US Government Printing Office, Washington, DC, 1976. 
Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A., and Kustas, W. P.: A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology, J. Geophys. Res., 112, D11112, https://doi.org/10.1029/2006JD007507, 2007. 
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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.
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