Next Article in Journal
Impacts of Climate on Renewable Groundwater Resources and/or Stream–Aquifer Interactions
Previous Article in Journal
The Main Drivers to Face the Challenges of Increasing the Intelligence of Sanitary Sewage Systems in Brazilian Cities
Open AccessArticle

Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean

1
Remote Sensing and GIS Laboratory, Department of Landscape Architecture, University of Cukurova, 01330 Adana, Turkey
2
Department of Landscape Architecture, Faculty of Architecture and Design, University of Yuzuncu Yil, 65090 Van, Turkey
3
Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research (UFZ), Permoserstr.15, D-04318 Leipzig, Germany
*
Authors to whom correspondence should be addressed.
Water 2020, 12(12), 3479; https://doi.org/10.3390/w12123479
Received: 3 November 2020 / Revised: 7 December 2020 / Accepted: 8 December 2020 / Published: 10 December 2020
(This article belongs to the Section Hydrology and Hydrogeology)
Understanding the soil and hydrologic processes in agricultural watersheds are vital for reliable assessments of water quantity and quality to support integrated river basin management. However, deriving hydrology-relevant information is complicated in flat data-scarce agricultural watersheds due to constraints in watershed delineation, flat topography, poor natural drainage, and irregular irrigation schedules by human intervention. The study aimed to improve the applicability of the Soil and Water Assessment Tool (SWAT) model to simulate daily flow and NO3 concentrations in a flat data-scarce agricultural watershed in the Lower Seyhan Plain (LSP) in Turkey. Refined digitized stream networks, discharge data derived from fully equipped gauging stations, and satellite data (Landsat 7 ETM+, Aster GDEM, etc.) had to be integrated into the modeling process to improve the simulation quality. The model was calibrated using a 2-year (2011–2012) dataset of streamflow and NO3 using the Sequential Uncertainty Fitting (SUFI-2) approach and validated from 2013 to 2018. Daily water yields were predicted with a reasonable simulation accuracy (E values ranging from 0.53 to 0.82 and percent bias (PBIAS) from 0 to +4.1). The results proved that integrating redefined stream networks to SWAT within a Geographic Information System (GIS) environment increases the simulation capability of flow and nitrate dynamics efficiently. Automated delineation of these networks and sub-basins at low topographic transitions limits the SWAT accuracy. View Full-Text
Keywords: SWAT; SUFI-2; daily flow; NO3; Lower Seyhan Plain; data-scarce regions; Mediterranean SWAT; SUFI-2; daily flow; NO3; Lower Seyhan Plain; data-scarce regions; Mediterranean
Show Figures

Figure 1

MDPI and ACS Style

Donmez, C.; Sari, O.; Berberoglu, S.; Cilek, A.; Satir, O.; Volk, M. Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean. Water 2020, 12, 3479. https://doi.org/10.3390/w12123479

AMA Style

Donmez C, Sari O, Berberoglu S, Cilek A, Satir O, Volk M. Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean. Water. 2020; 12(12):3479. https://doi.org/10.3390/w12123479

Chicago/Turabian Style

Donmez, Cenk; Sari, Omer; Berberoglu, Suha; Cilek, Ahmet; Satir, Onur; Volk, Martin. 2020. "Improving the Applicability of the SWAT Model to Simulate Flow and Nitrate Dynamics in a Flat Data-Scarce Agricultural Region in the Mediterranean" Water 12, no. 12: 3479. https://doi.org/10.3390/w12123479

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop