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A platform for research: civil engineering, architecture and urbanism
Assessment of surface water potential using morphometry and curve number-based approaches
Geomorphic and curve number-based run-off estimation approaches are proposed in this study for Olidih watershed, India. Cartosat Digital Elevation Model derived morphometry parameters were used for the computation of run-off. The observed and predicted run-off are uniformly scattered around 1:1 line and coefficient of correlation (R 2 ) is found to be around 0.94 in case of NRCS-CN method. Run-off assessment computed using geomorphological parameters and NRCS-CN approach has improved with the introduction of rainfall correction factor. The improved R 2 from 0.3 to 0.86 in this case was attributed to rainfall correction factor computed based on the long-term rainfall average of the study area. Run-off assessment made using composite parameter approach shows R 2 values of 0.98 and 0.82 for different initial abstraction losses 0.2 and 0.3, respectively, and has indicated better prediction. Therefore, proposed morphometry-based approaches can be explored as an alternative for simulating the hydrological response of the watersheds.
Assessment of surface water potential using morphometry and curve number-based approaches
Geomorphic and curve number-based run-off estimation approaches are proposed in this study for Olidih watershed, India. Cartosat Digital Elevation Model derived morphometry parameters were used for the computation of run-off. The observed and predicted run-off are uniformly scattered around 1:1 line and coefficient of correlation (R 2 ) is found to be around 0.94 in case of NRCS-CN method. Run-off assessment computed using geomorphological parameters and NRCS-CN approach has improved with the introduction of rainfall correction factor. The improved R 2 from 0.3 to 0.86 in this case was attributed to rainfall correction factor computed based on the long-term rainfall average of the study area. Run-off assessment made using composite parameter approach shows R 2 values of 0.98 and 0.82 for different initial abstraction losses 0.2 and 0.3, respectively, and has indicated better prediction. Therefore, proposed morphometry-based approaches can be explored as an alternative for simulating the hydrological response of the watersheds.
Assessment of surface water potential using morphometry and curve number-based approaches
Nidhi, K (author) / Chowdary, V. M / Tiwari, K. N / Shinde, V / Dadhwal, V. K
2017
Article (Journal)
English
Assessment of surface water potential using morphometry and curve number-based approaches
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