Hydrologic and Water Quality Modeling of Lower Nestos River Basin

Modeling efforts on Nestos river are presented. First, the Soil and Water Assessment Tool (SWAT), within a GIS interface (version AVSWATX), was applied to the lower Nestos River basin in Northern Greece. The model was calibrated and verified with the use of field data collected at four monitoring si...

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Bibliographic Details
Published in:Water resources management 2012-08, Vol.26 (10), p.3023-3051
Main Authors: Boskidis, I., Gikas, G. D., Sylaios, G. K., Tsihrintzis, V. A.
Format: Article
Language:English
Subjects:
Agriculture
Alliances
Atmospheric Sciences
Calibration
Chlorophyll
Civil Engineering
Dams
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Environment
Exact sciences and technology
Freshwater
Fuzzy logic
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology. Hydrogeology
Hydrology/Water Resources
Irrigation
Mathematical models
Metamorphic rocks
Nutrient flow
Nutrient loading
Resource management
River basins
River flow
Rivers
Stream flow
Studies
Water depth
Water quality
Water resources
Water resources management
Water shortages
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Summary:Modeling efforts on Nestos river are presented. First, the Soil and Water Assessment Tool (SWAT), within a GIS interface (version AVSWATX), was applied to the lower Nestos River basin in Northern Greece. The model was calibrated and verified with the use of field data collected at four monitoring sites along the river course for a period of 3 years (October 2006–October 2009). The performance of the model was evaluated with the use of numerous statistical parameters, which showed a good agreement between the predicted and the observed values. The validated model was then used to test the impact of various management scenarios on the river flow and nutrient loadings. Second, a fuzzy logic model approach was used for the short-term prediction of water depth and chlorophyll-a (Chl-a) in the river according to measured values. The study showed that both the SWAT model and the fuzzy logic technique, if properly calibrated, could be useful and reliable tools in water resources management.
ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-012-0064-7