SWAT Model Adaptability to a Small Mountainous Forested Watershed in Central Romania

Forests

Mirabela Marin¹  Oana Nicoleta Tudose¹  Alin Lucian Mihalache¹  Nicu Constantin Tudose¹  Cezar Ungurean¹  Serban Octavian Davidescu¹  Adriana Agafia Davidescu¹  Sorin Cheval² 

[1] National Institute of Research and Development in Forestry ‘Marin Drăcea’, EroilorBulevard, No. 128, 077190 Voluntari, Romania;National Meteorological Administration, 013686 Bucharest, Romania;

关键词: SWAT;    hydrological model;    sensitivity analysis;    calibration;    validation;    small forested watershed;   

DOI  :  10.3390/f12070860

来源: DOAJ

【 摘 要 】

This study aims to build and test the adaptability and reliability of the Soil and Water Assessment Tool hydrological model in a small mountain forested watershed. This ungauged watershed covers 184 km² and supplies 90% of blue water for the Brașov metropolitan area, the second largest metropolitan area of Romania. After building a custom database at the forest management compartment level, the SWAT model was run. Further, using the SWAT-CUP software under the SUFI2 algorithm, we identified the most sensitive parameters required in the calibration and validation stage. Moreover, the sensitivity analysis revealed that the surface runoff is mainly influenced by soil, groundwater and vegetation condition parameters. The calibration was carried out for 2001–2010, while the 1996–1999 period was used for model validation. Both procedures have indicated satisfactory performance and a lower uncertainty of model results in replicating river discharge compared with observed discharge. This research demonstrates that the SWAT model can be applied in small ungauged watersheds after an appropriate parameterisation of its databases. Furthermore, this tool is appropriate to support decision-makers in conceiving sustainable watershed management. It also guides prioritising the most suitable measures to increase the river basin resilience and ensure the water demand under climate change.

【 授权许可】

Unknown