A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Hydrological Modeling of Stream Flow Over Netravathi River Basin
Riverine resources which are the basis of life are being transformed through urbanization. This has to be analyzed effectively in order to rejuvenate riverine ecosystems. The effects of land-use dynamics are a factor to be analyzed, and using hydrological modeling which is adopted in this study aids for the same. Soil and Water Assessment Tool (SWAT) is used as an effective tool in modeling the river basin due to its ability to quantify the alternate input data provided to the model. 14-year daily data was simulated in the model provided; the warm-up period for the model is 2 years. Coefficient of determination value of 0.74 and Nash–Sutcliffe efficiency (NSE) to be 0.71 were obtained from the analysis which indicate that the simulated values fall within a good range. The parameters which influence most are found to be curve number, available water capacity in the soil, groundwater delay, Manning’s n and plant uptake compensation. The fitted range was obtained, and this was used to increase the accuracy in SWAT Calibration and Uncertainty Procedures (SWAT-CUP). Sequential Uncertainty Fitting ver.2 (SUFI2) was found to be effective because of its uncertainty consideration criteria, and it accounts for all uncertainties that may occur in the mode. Hydrological modeling of a river basin can help us to assess the impact of alternative input data on the stream flow.
Hydrological Modeling of Stream Flow Over Netravathi River Basin
Riverine resources which are the basis of life are being transformed through urbanization. This has to be analyzed effectively in order to rejuvenate riverine ecosystems. The effects of land-use dynamics are a factor to be analyzed, and using hydrological modeling which is adopted in this study aids for the same. Soil and Water Assessment Tool (SWAT) is used as an effective tool in modeling the river basin due to its ability to quantify the alternate input data provided to the model. 14-year daily data was simulated in the model provided; the warm-up period for the model is 2 years. Coefficient of determination value of 0.74 and Nash–Sutcliffe efficiency (NSE) to be 0.71 were obtained from the analysis which indicate that the simulated values fall within a good range. The parameters which influence most are found to be curve number, available water capacity in the soil, groundwater delay, Manning’s n and plant uptake compensation. The fitted range was obtained, and this was used to increase the accuracy in SWAT Calibration and Uncertainty Procedures (SWAT-CUP). Sequential Uncertainty Fitting ver.2 (SUFI2) was found to be effective because of its uncertainty consideration criteria, and it accounts for all uncertainties that may occur in the mode. Hydrological modeling of a river basin can help us to assess the impact of alternative input data on the stream flow.
Hydrological Modeling of Stream Flow Over Netravathi River Basin
Lecture Notes in Civil Engineering
Narasimhan, M. C. (editor) / George, Varghese (editor) / Udayakumar, G. (editor) / Kumar, Anil (editor) / Ashish, S. (author) / Kundapura, Subrahmanya (author) / Kaliveeran, Vadivuchezhian (author)
2020-09-29
19 pages
Article/Chapter (Book)
Electronic Resource
English
SWAT , Hydrological , Modeling , Netravathi , Stream flow Engineering , Building Materials , Geoengineering, Foundations, Hydraulics , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Transportation Technology and Traffic Engineering , Remote Sensing/Photogrammetry , Sustainable Development
Hydrological Modeling of Stream Flow Over Netravathi River Basin
| TIBKAT | 2021
Hydrological studies of Netravathy river basin
| British Library Online Contents | 2001
Advances in distributed hydrological modeling in the Yellow River basin
| British Library Online Contents | 2004
Hydrological Modelling of Madras River Basin
| British Library Conference Proceedings | 1993
Distributed Hydrological Model for Fuji River Basin
| British Library Online Contents | 1999