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Flow Simulation and Storage Assessment in an Ungauged Irrigation Tank Cascade System Using the SWAT Model

Author

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  • Koppuravuri Ramabrahmam

    (Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, Telangana, India)

  • Venkata Reddy Keesara

    (Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, Telangana, India)

  • Raghavan Srinivasan

    (AgriLife Research, Texas A&M University, College Station, TX 77843, USA)

  • Deva Pratap

    (Department of Civil Engineering, National Institute of Technology Warangal, Warangal 506004, Telangana, India)

  • Venkataramana Sridhar

    (Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA)

Abstract

In the semi-arid regions of South Asia, tank systems are the major source of irrigation. In India, the Telangana state government has initiated the Mission Kakatiya program to rejuvenate irrigation tank systems. Understanding the hydrological processes that supply water to these systems is critical to the success of these types of programs in India. The current study attempted to comprehend the hydrological processes and flow routing in the Salivagu watershed tank cascade system in Telangana. There are a lot of ungauged tank cascade systems in this region. Soil Water Assessment Tool (SWAT), a physically-based model, was used to simulate flow patterns in the Salivagu watershed with and without tank systems. The geospatially extracted area and volume were used for this study provided by WBIS-Bhuvan-NRSC. Additionally, the Katakshapur Tank Cascade System (KTCS) was chosen to analyze the water availability in each tank using the water balance approach. The Salivagu watershed flow simulation without tanks overestimated streamflow. The volume difference in flow between with and without tank was 606 Mm 3 , 615.9 Mm 3 , and 1011 Mm 3 in 2017, 2018, and 2019, respectively. The SWAT simulated volumes of the Ramchandrapur and Dharmaraopalle tanks in KTCS were merely satisfied because the tank size was less than 0.7 km 2 and the storage capacity was up to 1 Mm 3 . Due to tank sizes more than 0.8 km 2 and capacities greater than 2 Mm 3 , the Mallampalli and Katakshapur tank simulation findings were in good agreement with WBIS-Bhuvan-NRSC. This research advances our understanding of the hydrological processes in ungauged cascading tank systems in tropical semi-arid regions.

Suggested Citation

  • Koppuravuri Ramabrahmam & Venkata Reddy Keesara & Raghavan Srinivasan & Deva Pratap & Venkataramana Sridhar, 2021. "Flow Simulation and Storage Assessment in an Ungauged Irrigation Tank Cascade System Using the SWAT Model," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13158-:d:689555
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    1. Dave Deckers & Martijn Booij & Tom Rientjes & Maarten Krol, 2010. "Catchment Variability and Parameter Estimation in Multi-Objective Regionalisation of a Rainfall–Runoff Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3961-3985, November.
    2. Glendenning, C.J. & van Ogtrop, F.F. & Mishra, A.K. & Vervoort, R.W., 2012. "Balancing watershed and local scale impacts of rain water harvesting in India—A review," Agricultural Water Management, Elsevier, vol. 107(C), pages 1-13.
    3. Qiongfang Li & John Gowing, 2005. "A Daily Water Balance Modelling Approach for Simulating Performance of Tank-Based Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(3), pages 211-231, June.
    4. Jayatilaka, C. J. & Sakthivadivel, R. & Shinogi, Y. & Makin, I. W. & Witharana, P., 2001. "Predicting water availability in irrigation tank cascade systems: the cascade water balance model," IWMI Research Reports H027839, International Water Management Institute.
    5. Hyunwoo Kang & Venkataramana Sridhar, 2018. "Improved Drought Prediction Using Near Real-Time Climate Forecasts and Simulated Hydrologic Conditions," Sustainability, MDPI, vol. 10(6), pages 1-29, May.
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    1. Sirimanna, S. & Kahathuduwa, K.K.P.N. & Prasada, D.V.P., 2022. "Are cascade reservoir systems sustainable agroecosystems? A comparative assessment of efficiency, effectiveness and resource footprint in a Sri Lankan micro-cascade," Agricultural Systems, Elsevier, vol. 203(C).
    2. Koppuravuri Ramabrahmam & Venkata Reddy Keesara & Raghavan Srinivasan & Deva Pratap & Venkataramana Sridhar, 2023. "Climate Change Impact on Water Resources of Tank Cascade Systems in the Godavari Sub-Basin, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(6), pages 2853-2873, May.
    3. Sri Lakshmi Sesha Vani Jayanthi & Venkata Reddy Keesara & Venkataramana Sridhar, 2022. "Prediction of Future Lake Water Availability Using SWAT and Support Vector Regression (SVR)," Sustainability, MDPI, vol. 14(12), pages 1-17, June.

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