Prediction Of River Flows In Ungauged Basin Using Semi-Distributed Hydrologic Model
Highlights
Developed probability distribution functions (PDFs) for sensitive model parameters based on gauged basins.
Related these PDFs to the physical characteristics of ungauged basins to simulate streamflows.
Calibration (2000-2004): R² values ranged from 0.70 to 0.86; Nash-Sutcliffe Efficiency (NSE) from 0.62 to 0.79.
Validation (2005-2008): R² ranged from 0.58 to 0.73; NSE from 0.34 to 0.64.
Regionalization of model parameters significantly enhances the accuracy of streamflow predictions in ungauged basins.
The methodology was tested on two watersheds, demonstrating it as a viable approach for hydrologic modeling in data-limited basins.
Temporal Hydrologic Variations in San Jacinto River Basin with Major Land Use and Land Cover Changes
Highlights
Model Setup: The Arc-SWAT 2012 model was used to analyze the San Jacinto River Basin, focusing on Cypress, Texas, using 2006 LULC data.
LULC Changes: Significant increases in residential and industrial areas and decreases in forested areas were observed between 2006 and 2011.
Hydrologic Impacts: Urbanization and deforestation led to increased surface runoff and decreased infiltration, resulting in an overall increase in streamflow.
Rainfall and Temperature: Lower rainfall and higher temperatures during the August 2011-2015 period contributed to decreased streamflow.
Conclusion: The study highlights the significant impact of urbanization and deforestation on the hydrologic behavior of the region, emphasizing the need for sustainable land use practices and water resource management.
