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Kwasi, A., Mansoor, L., Cothren, J., Di Luzio, M. and Brahana, J.V. (2017) Effects of Land-Use Land-Cover Data Resolution and Classification Methods on SWAT Model Flow Predictive Reliability. International Journal of Hydrology Science and Technology, 7, 39-62.
https://doi.org/10.1504/IJHST.2017.080956

has been cited by the following article:

• TITLE: Effects of Finer Scale Soil Survey and Land-Use Classification on SWAT Hydrological Modelling Accuracy in Data-Poor Study Areas

  AUTHORS: Verenice Escamilla-Rivera, Sergio Cortina-Villar, Raúl A. Vaca, Duncan Golicher, José Arellano-Monterrosas, Jordi Honey-Rosés

  KEYWORDS: Map Scale, SWAT Model, Soil Survey, Land Use/Land Cover, Mexico

  JOURNAL NAME: Journal of Water Resource and Protection, Vol.14 No.2, February 18, 2022

  ABSTRACT: The limited availability of high-quality spatial data often limits the development of hydrological modelling in developing countries. Hydrological models with data at different scales may generate large uncertainties in modelling outputs. This study analysed the accuracy of four SWAT built models that combine soil and land use/land cover (LULC) data at the scale of 1:250,000 and 1:100,000 in a basin of Mexico. SWAT model allowed determining that large-scale maps produced better results than data from small-scale. Sensitivity analysis with different soil data was less than LULC data. However, the small-scale can be used for exploratory purposes when testing SWAT performance.