Quantification of the Effect of Soil and Biophysical Parameters on Water Balance Modelling Using SWAT+ in Forested Catchments

• Published in: Hydrological processes 2024-11, Vol.38 (11), p.n/a
• Main Authors: Qasemipour, Ehsan, Pahlow, Markus, Cochrane, Thomas A., Altaner, Clemens
• Format: Article
• Language: English
• Subjects: biophysical parameters; Catchment area; Catchments; Depth; Evapotranspiration; Evapotranspiration rates; Forest management; Forest watersheds; forested catchments; Hydrologic models; Hydrologic processes; Hydrology; Information management; Land management; leaf area index; Parameter estimation; Parameter sensitivity; Parameters; Percolation; Precipitation; Rainfall; rooting depth; Sensitivity analysis; Soil analysis; Soil improvement; Soil layers; Soil profiles; Soil properties; Soil water; Substrates; Surface runoff; SWAT; Water balance; Water balance components; Water depth; Water resources; Water resources management; Water uptake; Water yield
• ISSN: 0885-6087; 1099-1085
• DOI: 10.1002/hyp.15332

ABSTRACT Accurate simulation of water balance components is crucial for effective water and land management practices. The performance of process‐based hydrological models relies on the accurate determination of input variables. The objective of this study is to quantify the magnitude of the effect of soil properties (depth and texture) and biophysical parameters on water balance simulation for a forested catchment using the Soil and Water Assessment Tool (SWAT+). Simulations were carried out for a baseline scenario using the default soil inputs, followed by extending the soil profile depth up to 15 m under three different rainfall scenarios. Sensitivity analysis of model outputs was performed using the SENSitivity ANalysis (SENSAN) programme of the Parameter ESTimation (PEST) suite, coupled with SWAT+. The results showed that increasing soil profile depth to 15 m led to around 50% increase in water yield, and around 20% reduction in percolation with slight variations across the three rainfall scenarios. Evapotranspiration rates were slightly increased in deeper soil profiles. The sensitivity of evapotranspiration, surface runoff, and percolation to LAI‐related biophysical parameters was pronounced, highlighting the need to include such parameters in SWAT+ model calibration. The water uptake from deeper soil layers by deep roots, even in rocky substrates, as documented in the literature, is not adequately captured by the SWAT+ model. Our work showed that in general, developing local soil databases with detailed information on deeper layers is needed, to improve the accuracy and reliability of hydrological models in predicting water fluxes, thereby supporting informed water resources management decisions. Soil profile depth and texture features strongly impact water balance modelling results. Changes in water fluxes are more pronounced for low rainfall scenarios. Water balance is more sensitive to LAI parameters than to other biophysical parameters. Soil information at depths beyond those currently available in soil databases is required to improve model reliability. Revision of the SWAT+ representation of the rooting system is recommended.