Water quality estimation in Nan Basin at station N.1 using QSWAT model
Keywords:
Water quality, QGIS program, QSWAT model, Accurate, Geographic information systemsAbstract
This research aimed to evaluate water quality in the Nan River Basin at the N.1 gauging station, focusing on key indicators such as Dissolved Oxygen (DO) and Biological Oxygen Demand (BOD). The analysis employed QGIS software integrated with the QSWAT model to simulate and monitor water quality between 2016 and 2018. The model demonstrated high accuracy in streamflow simulation during the calibration period, with R2 =0.7139 and NSE =0.6934, and remained within an acceptable range during the validation period, with R2 =0.6658 and NSE =0.5866. For water quality indicators, the model closely approximated observed DO and BOD levels in many instances, particularly during the rainy season when higher streamflow enhancing pollutant dilution. However, during the dry season, greater discrepancies were observed, especially in months with low flow and high pollutant accumulation. Overall, the findings indicate that the QSWAT model performs effectively in simulating streamflow and water quality during the rainy season and can be applied for water resource management and water quality monitoring in other watershed areas.
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