Evaluating the Impacts of Climate Change on Thunga River Basin Karnataka

International Journal of Agriculture & Environmental Science
© 2021 by SSRG - IJAES Journal
Volume 8 Issue 5
Year of Publication : 2021
Authors : M.A. Manjunatha Swamy, Mr. Chandrashekarayya G. Hiremath, Dr. B. Venktesh
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How to Cite?

M.A. Manjunatha Swamy, Mr. Chandrashekarayya G. Hiremath, Dr. B. Venktesh, "Evaluating the Impacts of Climate Change on Thunga River Basin Karnataka," SSRG International Journal of Agriculture & Environmental Science, vol. 8,  no. 5, pp. 1-8, 2021. Crossref, https://doi.org/10.14445/23942568/IJAES-V8I5P101

Abstract:

Climate change affects the environment and natural resources. Rainfall, Temperature and Evapo-Transpiration are major parameters affected by climate change in the environment. This study uses SWAT model for estimation of water flow in future for Thunga river basin of 2413sq-km. Spatial and metrological data was used as input for the model to calculate the runoff at watershed outlet. The calibration and validation was carried out by using manual calibration method, performance of model is evaluated using correlation coefficient and Nash–Sutcliffe efficiency coefficient technique. The future river runoff is estimated using GCM outputs of precipitation and temperature data for RCP4.5 and RCP8.5 scenarios. The runoff for 79 years period (2020-2099) is estimated. The maximum daily discharge for RCP4.5 is lesser than the RCP8.5scenario. Decade mean discharge for RCP4.5 shows almost constant trend line up to mid-century; increasing trend line from 2060. However, in RCP8.5 initially trend line decreases up to mid-century and increases again draws down from 2050 to 2070. It has increased again up to end of century. Dependable observed discharge is less than the dependable flow of future period for both the scenarios at50%, 75% and 90% probability of exceedance. After analyzing results we can conclude that the water availability in future years will be more than the 21% of present water availability, so there is a requirement of proper watershed management plans and further developmental activities in Thunga river basin.

Keywords:

SWAT, RCP4.5 and RCP8.5 Scenarios, Probability of Exceedance.

References:

Journal Articles
[1] Ahir, P., & Vadher, B. Discharge modeling in part of Ambika River basin using SWAT model. International research journal of engineering and Technology, 3(5) (2016) 527-532.
[2] Arnold, J. G., Moriasi, D. N., Gassman, P. W., Abbaspour, K. C., White, M. J., Srinivasan, R., Santhi, C., Harmel, R. D., & Kannan, N. . SWAT: Model use, calibration, and validation. Transactions of the ASABE, 55(4) (2012) 1491-1508.3
[3] Bhatti, H. A., Rientjes, T., Haile, A. T., Habib, E., & Verhoef, W. (2016). Evaluation of bias correction method for satellite-based rainfall data. Sensors, 16(6), 884.
[4] Bieger, K., Hörmann, G., & Fohrer, N. Detailed spatial analysis of SWAT-simulated surface runoff and sediment yield in a mountainous watershed in China. Hydrological Sciences Journal, 60(5) (2015) 784-800.
[5] Boupha, K., & Sourinphomy, K. Rainfall-Runoff Simulation using Remote Sensing and GIS Tool in a Xebanghieng Basin in Lao PDR. Journal of Natural Sciences Research, 5(1) (2015) 98-109.
[6] Byakod, K., & Shivapur, A. V. Application of swat model for generating surface runoff and estimation of water availability for Balehonnuru catchment area for Badhra river basin. International research journal of engineering and Technology, 4(8) (2017) 364-369.
[7] Ghoraba, S. M. Hydrological modeling of the Simly Dam watershed (Pakistan) using GIS and SWAT model. Alexandria Engineering Journal, 54(3) (2015) 583-594.
[8] Jeong, J., Kannan, N., Arnold, J., Glick, R., Gosselink, L., & Srinivasan, R. Development and integration of sub-hourly rainfall–runoff modeling capability within a watershed model. Water resources management, 24(15) (2010) 4505-4527.
[9] Kangsabanik, S., & Murmu, S. Rainfall-runoff modelling of Ajay river catchment using SWAT model. IOP Conference Series: Earth and Environmental Science, 67, 012033. (2017) doi:10.1088/1755-1315/67/1/012033.
[10] Kosa, P., & Sukwimolseree, T. Effect of Climate Change on Runoff in the Upper Mun River Basin, Thailand. World Academy of Science, Engineering and Technology, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering, 8(6) (2014) 423-427.
[11] Madhusudhan, M. S., & Shivapur, A. V. Application of swat model in generating surface runoff for bennihalla river basin. International research journal of engineering and Technology, 3(6) (2016) 1093-1097.
[12] Patel, D. P., & Nandhakumar, N. Runoff potential estimation of Anjana Khadi Watershed using SWAT model in the part of lower Tapi Basin, West India. Sustainable Water Resources Management, 2(1) (2016) 103-118.
[13] Priyanka., & Patil, N. S. Runoff modelling for Malaprabha sub-basin using SWAT hydrological model. International journal of Research in engineering and technology, 5(7) (2016) 35-38.
[14] Renganathan, T., & Silambarasan, A. Hydrological Modelling of Poondi Sub-Watershed using ArcSWAT. International Journal of Advanced Remote Sensing and GIS, 4(1) (2015) 1323.
[15] Rostamian, R., Jaleh, A., Afyuni, M., Mousavi, S. F., Heidarpour, M., Jalalian, A., & Abbaspour, K. C. Application of a SWAT model for estimating runoff and sediment in two mountainous basins in central Iran. Hydrological Sciences Journal, 53(5) (2008) 977-988.
[16] Ruan, H., Zou, S., Yang, D., Wang, Y., Yin, Z., Lu, Z., & Xu, B. Runoff simulation by SWAT model using high-resolution gridded precipitation in the upper Heihe River Basin, Northeastern Tibetan Plateau. Water, 9(11) (2017) 866.
[17] Santhi, C., Arnold, J. G., Williams, J. R., Dugas, W. A., Srinivasan, R., & Hauck, L. M. Validation of the swat model on a large rwer basin with point and nonpoint sources. JAWRA Journal of the American Water Resources Association, 37(5) (2001) 1169-1188.
[18] Shivhare, V., Goel, M. K., & Singh, C. K. Simulation of Surface Runoff for Upper Tapi Subcatchment Area (Burhanpur Watershed) Using Swat. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 40(8) (2014) 391.
[19] Shi, P., Hou, Y., Xie, Y., Chen, C., Chen, X., Li, Q., Qu, s., Fang, X., & Srinivasan, R. Application of a SWAT model for hydrological modeling in the Xixian Watershed, China. Journal of Hydrologic Engineering, 18(11) (2013) 1522-1529.
[20] Singh, V., Bankar, N., Salunkhe, S. S., Bera, A. K., & Sharma, J. R. Hydrological stream flow modelling on Tungabhadra catchment: parameterization and uncertainty analysis using SWAT CUP. Current Science, 104(9) (2013) 1187-1199.
[21] Suryavanshi, S., Pandey, A., & Chaube, U. C. Hydrological simulation of the Betwa River basin (India) using the SWAT model. Hydrological sciences journal, 62(6) (2017) 960-978.
[22] Teutschbein, C., & Seibert, J. Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of Hydrology, 456 (2012) 12-29.
[23] Tripathi, M. P., Panda, R. K., Raghuwanshi, N. S., & Singh, R. Hydrological modelling of a small watershed using generated rainfall in the soil and water assessment tool model. Hydrological processes, 18(10) (2004) 1811-1821.
[24] Villani, V., Cattaneo, L., Zollo, A. L., & Mercogliano, P. (2015). Climate data processing with GIS support: description of Bias Correction and Temporal Downscaling tools implemented in Clime software. CMCC Research Paper, (2015) 16-23.

Book Chapters
[1] Karnataka water resource department, Annual report of Tungabhadra board, Ch. 6, 455-468, 2011-2102.
[2] Rainfall data of Karnataka state, Directorate of economics and statistics government of Karnataka, Ch. 1, 2018.