Soil Erosion Modeling and Sensitivity Analysis using SWAT and PLSR Technique in Upper Bhima Sub-Basin

Soil Erosion Modeling and Sensitivity Analysis using SWAT and PLSR Technique in Upper Bhima Sub-Basin

© 2022 by IJETT Journal
Volume-70 Issue-9
Year of Publication : 2022
Authors : Pravin V. Desai, Suresh K. Ukarande
DOI : 10.14445/22315381/IJETT-V70I9P230

How to Cite?

Pravin V. Desai, Suresh K. Ukarande, "Soil Erosion Modeling and Sensitivity Analysis using SWAT and PLSR Technique in Upper Bhima Sub-Basin" International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 298-318, 2022. Crossref,

Carrying out calibration properly is the important phase to enhance the model's credibility. Due to unique features to support decisions about alternative management strategies regarding soil erosion, distributed watershed models have been used quite effectively in a few watersheds. The execution of the Soil and Water Assessment Tool in simulating soil erosion and sensitivity analysis of landscape parameters concerning soil erosion via partial least square regression (PLSR) is put forward in this work. Model run for 2014 and 2005 is carried out in this work; each model holds 10 years of calibration and 5 years of validation by placing soil erosion as a dependent parameter. SIMCA-P and SUFI-2 algorithms were used to evaluate the sensitivity of basin parameters. The use of the SUFI-2 algorithm uplifted model efficiency for monthly and daily scales by displaying NSE>0.60 and R²>0.60. Within the watershed, on the scale of the sub-watershed, the soil erosion severity zone was organized effectively. The SWAT parameters recognized to be highly sensitive toward soil erosion are placed in higher orders after the evaluation done through the SUFI-2 method. In contrast, PLSR parameters that are highly sensitive toward erosion are placed in a higher order after the evaluation done through weight analysis. The PLSR technique introduced in this work is valuable, as it provides a unique pattern through which the association between soil erosion and land cover pattern can be recognized closely, also determining highly sensitive parameters towards soil erosion through SWAT-CUP will allow working effectively towards watershed management practices at erosion hotspot in Upper Bhima Sub-Basin.

Soil characteristics, Hydrologic response, Spatial configuration, Land Use Pattern, SUFI-2 algorithm.

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