Preprints
https://doi.org/10.5194/hess-2021-482
https://doi.org/10.5194/hess-2021-482

  06 Oct 2021

06 Oct 2021

Review status: this preprint is currently under review for the journal HESS.

Hydrological modeling using the SWAT Model in urban and peri-urban environments: The case of Kifissos experimental sub-basin (Athens, Greece)

Evgenia Koltsida1, Nikos Mamassis2, and Andreas Kallioras1 Evgenia Koltsida et al.
  • 1Laboratory of Engineering Geology and Hydrogeology, School of Mining and Metallurgical Engineering, National Technical University of Athens, Heroon Polytechniou Str. 9, 15780 Zografou, Athens, Greece
  • 2Laboratory of Hydrology and Water Resources Development, School of Civil Engineering, National Technical University of Athens, Heroon Polytechneiou Str. 9, 157 80 Zographou, Greece

Abstract. SWAT (Soil and Water Assessment Tool) is a continuous time, semi-distributed river basin model that has been widely used to evaluate the effects of alternative management decisions on water resources. This study, demonstrates the application of SWAT model for streamflow simulation in an experimental basin with daily and hourly rainfall observations to investigate the influence of rainfall resolution on model performance. The model was calibrated for 2018 and validated for 2019 using the SUFI-2 algorithm in the SWAT-CUP program. Daily surface runoff was estimated using the Curve Number method and hourly surface runoff was estimated using the Green and Ampt Mein Larson method. A sensitivity analysis conducted in this study showed that the parameters related to groundwater flow were more sensitive for daily time intervals and channel routing parameters were more influential for hourly time intervals. Model performance statistics and graphical techniques indicated that the daily model performed better than the sub-daily model. The Curve Number method produced higher discharge peaks than the Green and Ampt Mein Larson method and estimated better the observed values. Overall, the general agreement between observations and simulations in both models suggests that the SWAT model appears to be a reliable tool to predict discharge over long periods of time.

Evgenia Koltsida et al.

Status: open (until 01 Dec 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-482', Anonymous Referee #1, 18 Oct 2021 reply

Evgenia Koltsida et al.

Data sets

Weather data National Observatory of Athens, NOA https://www.meteo.gr

Discharge data Open Hydrosystem Information Network https://openhi.net/

Soil data Food and Agriculture Organization, FAO http://www.fao.org/

DEM data Shuttle Radar Topography Mission, SRTM https://earthexplorer.usgs.gov/

Land use data Corine Land Cover, CLC 2018 https://land.copernicus.eu/

Model code and software

SWAT code USDA Agricultural Research Service and Texas A&M AgriLife Research http://swat.tamu.edu/

Evgenia Koltsida et al.

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Short summary
In this study, daily and hourly rainfall observations were used as inputs to SWAT hydrological model to investigate the impacts of temporal resolution of rainfall on streamflow simulation. Results indicated that groundwater flow parameters were more sensitive for daily time intervals and channel routing parameters were more influential for hourly time intervals. Overall, this study suggests that the SWAT model appears to be a reliable tool to predict discharge over long periods of time.