Abstract
Evapotranspiration is not only one of the major components of the hydrological cycle, it also controls impacts of drivers such as climate and land use changes. One of the widely used simulation tools for climate and impact studies is the Soil and W ater Assessment Tool (SW AT). This study evaluates the evapotranspiration processes in SWAT in the Kenyan Mau forest within the Mara basin that drains to Lake Victoria. The study reveals that typical SWAT applications have flaws as in the implementation or parameterisation of tropical forests. To improve the use of SWAT for land use and climate change studies, the following adaptations were done for the Mau forest. First, the monthly values of Remote Sensing observations of Leaf Area Index were put directly in the SWAT model, to replace the erroneous SWAT simulations. Next, the plant parameters were further adjusted. The results show that correct LAI and parameterisation results in a significant increase of the evapotranspiration in forested areas, and resulting in higher correlations with MODIS products for evapotranspiration.
Original language | English |
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Pages | 979-986 |
Number of pages | 8 |
Publication status | Published - 1 Jan 2014 |
Event | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 - San Diego, United States Duration: 15 Jun 2014 → 19 Jun 2014 |
Conference
Conference | 7th International Congress on Environmental Modelling and Software, iEMSs 2014 |
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Country/Territory | United States |
City | San Diego |
Period | 15/06/14 → 19/06/14 |
Keywords
- Evapotranspiration
- Remote sensing
- SWAT
- Tropical forest