Rainfall Analysis for Crop Planning for Paddy Grown in Cauvery Delta Zone of Tamil Nadu

Authors

  • JOHNSON B. Department of Applied Mathematics and Computational Science, Thiagarajar College of Engineering Madurai, Tamilnadu, India
  • CHANDRAKUMAR T. Department of Applied Mathematics and Computational Science, Thiagarajar College of Engineering Madurai, Tamilnadu, India
  • SAKTHIPRIYA D. Department of Applied Mathematics and Computational Science, Thiagarajar College of Engineering Madurai, Tamilnadu, India

DOI:

https://doi.org/10.54386/jam.v28i3.3270

Keywords:

Cauvery Delta Zone, ENSO, Innovative Trend Analysis, Mann–Kendall test, Rainfall probability, Sen’s slope

Abstract

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.

References

Ahmed, P., Deka, R. L., Baruah, B. P., & Nath, K. K. (2009). Rainfall-based crop planning in the Barak Valley zone of Assam. Journal of Agrometeorology, 11(2), 192–195. https://doi.org/10.54386/jam.v11i2.1252

Alexandersson, H. (1986). A homogeneity test applied to precipitation data. Journal of Climatology, 6(6), 661–675. https://doi.org/10.1002/joc.3370060607

Arunima, K. T., Firoz, M. C., Kasthurba, A. K., & Gupta, P. (2023). Strategic spatial planning based on ecosystem services: A case of Cauvery Basin. Urban India, 43, 162–178.

Bama, K. S., Raju, M., Jagadesh, M., Ambethgar, V., & Singh, K. K. (2021). Qualitative and quantitative analysis of weather forecast for Cauvery Delta Zone of Tamil Nadu. Agriways, 9(2), 45–54.

Barati, M. K., Manivasagam, V. S., Nikoo, M. R., Saravanane, P., Narayanan, A., & Manalil, S. (2022). Rainfall variability and rice sustainability: An evaluation of two distinct rice-growing ecosystems. Land, 11(8), 1242. https://doi.org/10.3390/land11081242

Buishand, T. A. (1982). Some methods for testing the homogeneity of rainfall records. Journal of Hydrology, 58(1–2), 11–27. https://doi.org/10.1016/0022-1694(82)90066-X

Deka, R. L., Mahanta, C., Pathak, H., Nath, K. K., & Das, S. (2013). Trends and fluctuations of rainfall regime in the Brahmaputra and Barak basins of Assam, India. Theoretical and Applied Climatology, 114, 61–71. https://doi.org/10.1007/s00704-012-0820-x

Ghosh, S., Barik, D. K., Renganayaki, P., Kang, B., Gumber, S., Venkatesh, S., Saini, D. S., & Akunuri, S. (2023). The impact of short-duration precipitation events over the historic Cauvery basin. Scientific Reports, 13(1), 14095. https://doi.org/10.1038/s41598-023-41417-6

Manivasagam, V. S., Kanagaraj, V. R., Marimuthu, N., Shaanjai, K. S., & Manalil, S. (2025). Exploring the dynamics of extreme rainfall in the Cauvery River Basin: Spatio-temporal insights and adaptive strategies. Natural Hazards Research, 5(4), 754-763. https://doi.org/10.1016/j.nhres.2025.03.004

Mann, H. B. (1945). Non-parametric tests against trend. Econometrica, 13(3), 245–259.

Nair, J., Thomas, B. K., & Bahinipati, C. S. (2024). Cropping decisions under water stress: Evidence from Cauvery Delta Region, India. World Water Policy, 10(3), 711–729. https://doi.org/10.1002/wwp2.12177

Niraimathi, J., & Saravanan, S. (2024). Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India. Environmental Monitoring and Assessment, 196(4), 13487. https://doi.org/10.1007/s10661-024-13487-0

Pavithrapriya, S., Ramachandran, A., Ahamed Ibrahim, S. N., & Palanivelu, K. (2022). Climate variability trend and extreme indices for the Thanjavur Delta region of Tamil Nadu. Mausam, 73(2), 237–250. https://doi.org/10.54302/mausam.v73i2.5475

Pavithrapriya, S., Ramachandran, A., Ahamed Ibrahim, S.N., & Palanivelu, K. (2023). Assessing the black gram (Vigna mungo) yield due to climate change impacts and its adaptation strategies in the Cauvery delta region of South India. Theoretical and Applied Climatology, 153, 1049–1062. https://doi.org/10.1007/s00704-023-04516-y

Pettitt, A. N. (1979). A non-parametric approach to the change-point problem. Journal of the Royal Statistical Society: Series C (Applied Statistics), 28(2), 126–135. https://doi.org/10.2307/2346729

Prabakar, C., Devi, K. S., Kumar, S. S., Stalin, P., & Singaravel, R. (2024). Remodelling of existing cropping system towards risk optimization in Cauvery Delta Zone of Tamil Nadu. Environment and Ecology, 42(4C), 2117–2130. https://doi.org/10.60151/envec/RYFP8787

Prayag, A. G., Zhou, Y., Srinivasan, V., Stigter, T., & Verzijl, A. (2023). Assessing the impact of groundwater abstractions on aquifer depletion in the Cauvery Delta, India. Agricultural Water Management, 279, 108191. https://doi.org/10.1016/j.agwat.2023.108191

Ramanathan, K. (2021). Climate-resilient participatory farming system design for sustainability in Cauvery Delta of Tamil Nadu. Productivity, 62(1), 56–70.

Sahu, T., Chaudhary, J. L., & Sahu, K. K. (2022). Analysis of rainfall probabilities and crop planning for different districts of Chhattisgarh. International Journal of Environment and Climate Change, 12(10), 858–862. https://doi.org/10.9734/IJECC/2022/v12i1030873

Saravanakumar, V., Lohano, H. D., & Balasubramanian, R. (2022). District-level analysis for measuring effects of climate change on rice production: Southern India evidence. Theoretical and Applied Climatology, 150(3), 941–953. https://doi.org/10.1007/s00704-022-04198-y

Sarma, N., Neog, P., Patowary, A. N., Medhi, K., & Deka, R. L. (2025). Rainfall analysis for crop planning for paddy grown in North Bank Plain Zone of Assam. Journal of Agrometeorology, 27(3), 360–364. https://doi.org/10.54386/jam.v27i3.3066

Sathyamoorthy, N. K., Jagannathan, R., & Ramaraj, A. P. (2016). Rainfall profile of Cauvery Delta Zone of Tamil Nadu. Current World Environment, 11(2), 524–532. https://doi.org/10.12944/CWE.11.2.21

Sellaperumal, P., Kaliaperumal, R., Dhanaraju, M., Sudarmanian N.S., Shanmugapriya, P., Satheesh S., Singaram, M., Sivamurugan, A.P., Marimuthu, R., Rangasamy, B., & Tamilmounika, R. (2025). Time-series analysis of Sentinel-1A SAR data to retrieve annual rice area maps and long-term dynamics of start of season. Scientific Reports, 15(1), 8202. https://doi.org/10.1038/s41598-025-91655-z

Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall’s tau. Journal of the American Statistical Association, 63(324), 1379–1389.

Susmitha, K., Velmurugan, D., Sita Devi, K., & Babu, S. (2025). Mapping climatic vulnerability in Cauvery Delta Region of Tamil Nadu. Environment and Ecology, 43(1A), 185–189. https://doi.org/10.60151/envec/VGIE8642

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Published

07-09-2026

How to Cite

B., J., T., C., & D., S. (2026). Rainfall Analysis for Crop Planning for Paddy Grown in Cauvery Delta Zone of Tamil Nadu. Journal of Agrometeorology, 28(3), 415–421. https://doi.org/10.54386/jam.v28i3.3270