Preprints
https://doi.org/10.5194/hess-2019-682
https://doi.org/10.5194/hess-2019-682
28 Jan 2020
 | 28 Jan 2020
Status: this preprint was under review for the journal HESS but the revision was not accepted.

Evaluation of Soil Water Index of distributed Tank Model in a small basin with field data

Sofia Melo Vasconcellos, Masato Kobiyama, and Aline de Almeida Mota

Abstract. The objective of the present study was to determine the spatial behaviour of the Soil Water Index (SWI) by applying a distributed version of the Tank Model (D-Tank Model) to the Araponga river basin (5.26 ha) in southern Brazil and to verify its reliability through the comparison to soil moisture estimated with the measured water-tension values and the water retention curve. The study area has a monitoring system for rainfall, discharge (5-min interval), and soil-water tension (10-min interval). The simulation results showed that the D-Tank Model has a reliable performance. The correlation between SWI and HAND was reasonable (r = 0.6) meanwhile that between SWI and the Topographic Wetness Index was high (r = 0.88). The comparison between the spatially distributed values of the SWI and soil moisture confirmed the high potential of the SWI derived from the D-Tank Model to be applied for predictions related to hydrological and environmental sciences.

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Sofia Melo Vasconcellos, Masato Kobiyama, and Aline de Almeida Mota
 
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AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Sofia Melo Vasconcellos, Masato Kobiyama, and Aline de Almeida Mota
Sofia Melo Vasconcellos, Masato Kobiyama, and Aline de Almeida Mota

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Short summary
The objective of the present study was to determine the spatial behaviour of the Soil Water Index (SWI) by applying a distributed version of the Tank Model (D-Tank Model) to verify its reliability through the comparison to soil moisture estimated with the measured water-tension values and the water retention curve. The comparison between the spatially distributed values of the SWI and soil moisture confirmed the high potential of the SWI for predictions related to hydrological sciences.