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Statistical Downscaling of Precipitation for Mahanadi Basin in India—Prediction of Future Streamflows

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Modern River Science for Watershed Management

Part of the book series: Water Science and Technology Library ((WSTL,volume 128))

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Abstract

Climate change has long-term impacts on precipitation patterns, magnitude, and intensity, affecting regional water resources availability. Besides, understanding the interannual to decadal variations of streamflows in a river basin is paramount for watershed management, primarily extreme events such as floods and droughts. This study investigates impact of climate change in streamflows estimation for four sub-basins of the Mahanadi River, in India. The study includes three major components: (i) Historical trend analysis of hydroclimatic variables, using Mann–Kendall test; (ii) Statistical downscaling of GCM generated precipitation using change factor method and KnnCAD V4 stochastic weather generator; (iii) Dependable flow analysis of future streamflows predicted using Soil Water Assessment Tool (SWAT) model for various future GCM scenarios. It is observed that during the historical period, there is a decrease in number of rainy days and total annual precipitation in all sub-basins. However, the analysis also indicates an increase in flood intensity in two of the sub-basins. The decadal future precipitation has a marginal decrease in precipitation (up to 10%) for future scenarios; however, the precipitation events with high intensities increase. The results indicate that the magnitudes of 5 and 10% dependable flows are higher than the historically observed streamflows, for all future scenarios. This indicates a significant increase in extreme flood events in the basin. Further, only one of the sub-basins has shown an increase in water availability for agriculture and drinking water purposes (75 and 95% dependable flows) in the future. Understanding future flood events in the Mahanadi basin can help decision-makers to implement appropriate mitigation strategies.

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Declaration

Funding

This research did not receive any specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflicts of Interest/Competing Interests

Authors declare that they have no conflict of interest.

Availability of Data and Material

Some data pertaining to the rainfall and river flow, which are classified data used in the study, were provided by a third party (Water Resources Department, Govt. of Odisha and Central Water Commission, Bhubaneswar, India). Direct request for these materials may be made to the provider.

Code Availability

The codes are available in public domain.

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Conceptualisation: [Nayak P. C.]; Methodology: [Nayak P. C., Roshan Srivastav]; Formal analysis and investigation: [Nayak P. C., Poonam Wagh, Venkatesh B., Thomas T., Satyaji Rao Y.R.S.]; Writing - original draft preparation: [Nayak P. C., Poonam Wagh]; Supervision: [Nayak P. C., Roshan Srivastav].

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Correspondence to P. C. Nayak .

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Nayak, P.C., Wagh, P., Venkatesh, B., Thomas, T., Srivastav, R. (2024). Statistical Downscaling of Precipitation for Mahanadi Basin in India—Prediction of Future Streamflows. In: Satheeshkumar, S., Thirukumaran, V., Karunanidhi, D. (eds) Modern River Science for Watershed Management. Water Science and Technology Library, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-031-54704-1_15

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