Modeling Daily Streamflow from Idamalayar Catchment Using SWAT
Lecture Notes in Civil Engineering, ISSN: 2366-2565, Vol: 450, Page: 361-371
2024
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures1
- Readers1
Conference Paper Description
SWAT, a semi-distributed, continuous, and process-based hydrologic model, is used for many applications such as streamflow simulations, water quality modeling, sediment yield modeling, etc. It requires spatial as well as temporal data as input. The present study examines the application of SWAT in simulating the daily streamflow from the Idamalayar catchment, Kerala. The model was simulated from 1987 through 2017 using daily meteorological data keeping three years as a warm-up. To calibrate and validate the model, a stand-alone tool, SWAT-CUP, is used. The model's capability to reproduce daily streamflow was assessed by means of the four performance- measures, which are R, NSE, PBIAS, and RSR. The values of these indicators turned out to be 0.64, 0.61, 22.5, and 0.63, respectively, in calibration, and while validating, these values were found to be 0.75, 0.67, 36.9, and 0.58, respectively. These values show that the model reasonably simulated the streamflow, especially at a daily time scale. Global sensitivity analyses showed that the effective hydraulic conductivity in main channel alluvium is the most sensitive parameter, followed by the SCS runoff curve number.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85187691681&origin=inward; http://dx.doi.org/10.1007/978-981-99-8568-5_26; https://link.springer.com/10.1007/978-981-99-8568-5_26; https://dx.doi.org/10.1007/978-981-99-8568-5_26; https://link.springer.com/chapter/10.1007/978-981-99-8568-5_26
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know