Rainfall Analysis for Crop Planning for Paddy Grown in Cauvery Delta Zone of Tamil Nadu
DOI:
https://doi.org/10.54386/jam.v28i3.3270Keywords:
Cauvery Delta Zone, ENSO, Innovative Trend Analysis, Mann–Kendall test, Rainfall probability, Sen’s slopeAbstract
The Cauvery Delta Zone (CDZ) of Tamil Nadu is highly dependent on rainfall variability for paddy production. The long-term daily rainfall data (1991–2024) from three representative districts (Thanjavur, Tiruvarur, and Nagapattinam) were analysed to evaluate the rainfall trends, regime shifts, and assured rainfall for crop planning. Non-parametric Mann–Kendall and Sen’s slope tests were used to detect monotonic trends, while Innovative Trend Analysis (ITA) and Pettitt’s change-point test identified non-linear trends and structural shifts. Weekly rainfall probabilities were estimated using the incomplete gamma distribution. Results indicated a statistically significant increase in Northeast Monsoon rainfall (Sen’s slope: +3.1 to +3.7 mm yr⁻¹; p ≤ 0.05) and a weak decline in Southwest Monsoon rainfall (−0.9 to −1.4 mm yr⁻¹). Pettitt’s test detected a significant rainfall regime shift around 2005 (p < 0.05), marking increased interannual variability. District-wise probability analysis showed that Standard Meteorological Weeks (SMW) 42–48 provide assured rainfall ≥75 mm at 75% probability, suitable for Samba paddy transplanting, whereas Navarai season rainfall was unreliable (<10 mm week⁻¹). Regression analysis revealed that ENSO and IOD together explained 82% of interannual rainfall variability (R² = 0.82; p < 0.01). The study provides statistically robust, rainfall-responsive insights for paddy crop planning in the Cauvery Delta Zone.
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