Water Practice and Technology (Jan 2024)

Trend detection and change point analysis of inflows in Karuppanadhi and Gundar dams of Chittar River Basin, Tamil Nadu, India

  • Arockia Anusty J,
  • Man Singh,
  • Manoj Khanna,
  • Prameela Krishnan,
  • Manoj Shrivastava,
  • CM Parihar,
  • Jitendra Rajput,
  • Hari Krishna B

DOI
https://doi.org/10.2166/wpt.2023.231
Journal volume & issue
Vol. 19, no. 1
pp. 113 – 133

Abstract

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Gaining insights into the patterns of hydroclimatic elements such as inflows to dams is essential to adeptly strategize and oversee water resource planning. For this study, we focused on Karuppanadhi and Gundar dams within the Chittar River Basin in Tamil Nadu. We employed various time series trend assessment methods – Mann–Kendall (MK), modified Mann–Kendall (MMK), Sen slope estimator, and innovative trend analysis (ITA). Furthermore, we conducted change point detection analysis using homogeneity tests, namely Pettitt's test, standard normal homogeneity test (SNHT), and Buishand test. The analysis was carried out across three-time scales: monthly, seasonal, and annual for 30 years (1991–2020) span. Results revealed declining trends significantly across all three timescales for the Karuppanadhi dam. Whereas for the Gundar dam, notable trends included increased patterns in January, March, December, and the winter season, while other months/seasons showed statistically decreasing trends. ITA exhibited greater sensitivity in identifying trends at monthly and seasonal scales, indicating its superior trend detection over MK and MMK methods. Change point analysis of trends identified a rising trend in August post-2017 for both dams. Other change points indicated decreasing inflow trends thereafter. Analysing trends and change points in dam inflows aid decisions on water resources management. HIGHLIGHTS Karuppanadhi and Gundar dams are in the non-perennial Chittar river basin.; Dam inflows, which in turn determine the outflows influence the crop choices of farmers in the dam command area.; Non-parametric trend tests, namely, MK, MMK, and ITA were used for trend assessment.; This study examines the trend presence, magnitude, and trend shifts in three-time scales (monthly, seasonal, and annual).;

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