Case Studies
Aug 4, 2021

Assessment of Hydroclimatological Changes in Eastern Himalayan River Catchment of Northeast India

Publication: Journal of Hydrologic Engineering
Volume 26, Issue 10

Abstract

This article focuses on the assessment of climate change impacts on the hydroclimatology of the Subansiri River basin, which is the largest tributary of the Brahmaputra River in the northeastern part of India. Three representative concentration pathway (RCP) emission scenarios, namely, RCP2.6, RCP6.0, and RCP8.5, of three general circulation models (GCM) archived by the Geophysical Fluid Dynamics Laboratory (GFDL), were utilized for the projection of climatic variables (such as precipitation and temperature). Long-term (2011–2100) projections of precipitation and temperature for different emission scenarios were made using the statistical downscaling technique. The soil and water assessment tool (SWAT) hydrological model was used for hydrological modeling of the river basin. The observed streamflow series for the period of 2002–2013 has been utilized for calibration and validation of the hydrological model. Parameterization, uncertainty analysis, and parameter sensitivity analysis of the model were performed using a sequential uncertainty fitting (SUFI2) program. The coefficient of determination (R2) for the calibration and validation of the hydrological model on the monthly streamflow time series was found to be 0.86 and 0.80, respectively. Future projections of the precipitation and temperature suggest an increase in the annual average maximum temperature (Tmax), annual average minimum temperature (Tmin), and annual precipitation of the river basin. These projected climatic variables were used as the primary input in the hydrological model for the projection of the streamflow for the period of 2016–2100. The flow duration curve analysis of streamflow projections reveals an increase in the discharge for a particular percent of the dependable flow in the case of all the RCP scenarios. Water yield analysis also suggests an increase in the annual average water yield in all cases of emission scenarios.

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Data Availability Statement

All data, models, and code that support the findings of this study are available from the corresponding author upon reasonable request.

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Journal of Hydrologic Engineering
Volume 26Issue 10October 2021

History

Received: Dec 10, 2018
Accepted: Jun 9, 2021
Published online: Aug 4, 2021
Published in print: Oct 1, 2021
Discussion open until: Jan 4, 2022

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Shivam Gupta [email protected]
Assistant Professor, Dept. of Irrigation and Drainage Engineering, College of Agricultural Engineering and PHT (CAU Imphal), Gangtok Sikkim 733135, India (corresponding author). Email: [email protected]
Manish Kumar Goyal, Aff.M.ASCE
Associate Professor, Discipline of Civil Engineering, Indian Institute of Technology Indore, Madhya Pradesh 453552, India.
Arup Kumar Sarma, M.ASCE
Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Assam 781039, India.

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