The importance of high resolution digital elevation models for improved hydrological simulations of a mediterranean forested catchment

J Rocha, A Duarte, M Silva, S Fabres, J Vasques… - Remote Sensing, 2020 - mdpi.com
J Rocha, A Duarte, M Silva, S Fabres, J Vasques, B Revilla-Romero, A Quintela
Remote Sensing, 2020mdpi.com
Eco-hydrological models can be used to support effective land management and planning of
forest resources. These models require a Digital Elevation Model (DEM), in order to
accurately represent the morphological surface and to simulate catchment responses. This
is particularly relevant on low altimetry catchments, where a high resolution DEM can result
in a more accurate representation of terrain morphology (eg, slope, flow direction), and
therefore a better prediction of hydrological responses. This work intended to use Soil and …
Eco-hydrological models can be used to support effective land management and planning of forest resources. These models require a Digital Elevation Model (DEM), in order to accurately represent the morphological surface and to simulate catchment responses. This is particularly relevant on low altimetry catchments, where a high resolution DEM can result in a more accurate representation of terrain morphology (e.g., slope, flow direction), and therefore a better prediction of hydrological responses. This work intended to use Soil and Water Assessment Tool (SWAT) to assess the influence of DEM resolutions (1 m, 10 m and 30 m) on the accuracy of catchment representations and hydrological responses on a low relief forest catchment with a dry and hot summer Mediterranean climate. The catchment responses were simulated using independent SWAT models built up using three DEMs. These resolutions resulted in marked differences regarding the total number of channels, their length as well as the hierarchy. Model performance was increasingly improved using fine resolutions DEM, revealing a bR2 (0.87, 0.85 and 0.85), NSE (0.84, 0.67 and 0.60) and Pbias (−14.1, −27.0 and −38.7), respectively, for 1 m, 10 m and 30 m resolutions. This translates into a better timing of the flow, improved volume simulation and significantly less underestimation of the flow.
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