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Research Articles

Vol. 12 No. sp4 (2025): Recent Advances in Agriculture by Young Minds - III

Agricultural drought propagation across major sorghum growing districts in Tamil Nadu, India

DOI
https://doi.org/10.14719/pst.11536
Submitted
30 August 2025
Published
06-11-2025

Abstract

Quantifying the response time between meteorological and agricultural drought is vital to understanding the drought evolution and to improve monitoring.  The present investigation used the % of normal precipitation and the soil moisture deficit index at a weekly scale to know spatial variations in the frequency of meteorological and agricultural drought and propagation time between these droughts in major sorghum growing districts of Tamil Nadu state. Results showed that the frequency of extreme meteorological drought was 34-68 % and 40-55 % in the first and second sorghum growing seasons, respectively. However, moderate and severe dry conditions occurred for 1-2 weeks in both seasons.  In case of agricultural drought, the highest moderate drought frequency (50 %) was noticed in Ramanathapuram and Thoothukudi districts during the first season and in Coimbatore and Thoothukudi districts in the second season. The shortest drought response time of 4-5 weeks was seen in western, southern and central parts of the state, while north-western and north-eastern districts showed the longest response time of 17-18 weeks. The shorter transition time in western, southern and central regions could be attributed to low seasonal rainfall, higher frequency of extreme dry conditions during the first growing season and the presence of fine textured black and brown soils with shallow rooting depth These districts require careful planning and quick interventions to curtail the agricultural drought impact, as regional and global climatic models projected a rise in occurrence and severity of drought events in the coming year.

References

  1. 1. Janarth S, Jagadeeswaran R, Pazhanivelan S, Kannan B, Ragunath KP, Sathiyamoorthy NK. Assessment of agricultural drought in Tamil Nadu using remote sensing techniques. Agric Sci Digest A Res J. 2024;45(1):178-86. https://doi.org/10.18805/ag.D-6007
  2. 2. Samuel J, Rao CA, Raju BM, Reddy AA, Pushpanjali, Reddy AG, et al. Assessing the impact of climate resilient technologies in minimizing drought impacts on farm incomes in drylands. Sustainability. 2021;14(1):382. https://doi.org/10.3390/su14010382
  3. 3. Sutton WR, Srivastava JP, Neumann JE. Looking beyond the horizon: How climate change impacts and adaptation responses will reshape agriculture in Eastern Europe and Central Asia. Washington (DC): World Bank Publications; 2013. 177 p. https://doi.org/10.1596/978-0-8213-9768-8
  4. 4. Keyantash J, Dracup JA. The quantification of drought: an evaluation of drought indices. Bull Am Meteorol Soc. 2002;83(8):1167-80. https://doi.org/10.1175/1520-0477-83.8.1167
  5. 5. Eltahir EA, Yeh PJ. On the asymmetric response of aquifer water level to floods and droughts in Illinois. Water Resour Res. 1999;35(4):1199-217. https://doi.org/10.1029/1998WR900071
  6. 6. Bhardwaj K, Shah D, Aadhar S, Mishra V. Propagation of meteorological to hydrological droughts in India. J Geophys Res Atmos. 2020;125(22):e2020JD033455. https://doi.org/10.1029/2020JD033455
  7. 7. Jehanzaib M, Sattar MN, Lee JH, Kim TW. Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections. Stoch Environ Res Risk Assess. 2020;34(1):7-21. https://doi.org/10.1007/s00477-019-01760-5
  8. 8. Guo Y, Huang S, Huang Q, Leng G, Fang W, Wang L, et al. Propagation thresholds of meteorological drought for triggering hydrological drought at various levels. Sci Total Environ. 2020;712:136502. https://doi.org/10.1016/j.scitotenv.2020.136502
  9. 9. Sun P, Liu R, Yao R, Shen H, Bian Y. Responses of agricultural drought to meteorological drought under different climatic zones and vegetation types. J Hydrol. 2023;619:129305. https://doi.org/10.1016/j.jhydrol.2023.129305
  10. 10. Cammalleri C, McCormick N, Spinoni J, Nielsen-Gammon JW. An analysis of the lagged relationship between anomalies of precipitation and soil moisture and its potential role in agricultural drought early warning. J Appl Meteorol Climatol. 2024;63(2):339-50. https://doi.org/10.1175/JAMC-D-23-0077.1
  11. 11. Kanthavel P, Saxena CK, Singh RK. Risk analysis of meteorological, agricultural and hydrological drought events and study of drought propagation features: a case study in the upper Tapti River sub-basin, Central India. J Water Clim Change. 2023;14(6):1912-23. https://doi.org/10.2166/wcc.2023.009
  12. 12. Anjali CV, Pachore A, Remesan R. Agricultural drought response to meteorological drought over different agro-climatic zones of the Ganga River basin. J Water Clim Change. 2024;15(3):998-1017. https://doi.org/10.2166/wcc.2024.437
  13. 13. Palagiri H, Sudardeva N, Pal M. Application of ESACCI SM product-assimilated to a statistical model to assess the drought propagation for different agro-climatic zones of India using copula. Int J Appl Earth Obs Geoinf. 2024;127:103701. https://doi.org/10.1016/j.jag.2024.103701
  14. 14. Li C, Zhang X, Yin G, Xu Y, Hao F. Evaluation of drought propagation characteristics and influencing factors in an arid region of Northeast Asia (ARNA). Remote Sens. 2022;14(14):3307. https://doi.org/10.3390/rs14143307
  15. 15. Zhang Q, Li YP, Huang GH, Wang H, Shen ZY. Bayesian analysis of variance for quantifying multi-factor effects on drought propagation. J Hydrol. 2024;632:130911. https://doi.org/10.1016/j.jhydrol.2024.130911
  16. 16. Sanyal A, Arora A. Relative economic performance of Indian states: 1960-61 to 2023-24. EAC-PM Working Paper Series: EAC-PM/WP/31/2024. New Delhi; 2024. 19 p.
  17. 17. Gowtham R, Geethalakshmi V, Kumar N, Lakshmanan A, Bhuvaneswari K, Dheebakaran GA, et al. Drought analysis and management for Tamil Nadu: science-stakeholder-policy linkage. J Agrometeorol. 2020;22(4):429-38. https://doi.org/10.54386/jam.v22i4.445
  18. 18. Vengateswari M, Geethalakshmi V, Bhuvaneswari K, Jagannathan R, Panneerselvam S. District level drought assessment over Tamil Nadu. Madras Agric J. 2019;106:225-7. https://doi.org/10.29321/MAJ.2019.000250
  19. 19. Kokilavani S, Ramanathan SP, Dheebakaran G, Sathyamoorthy NK, Maragatham N, Gowtham R. Drought intensity and frequency analysis using SPI for Tamil Nadu, India. Curr Sci. 2021;121(6):781-8. https://doi.org/10.18520/cs/v121/i6/781-788
  20. 20. Lalmuanzuala B, Sathyamoorthy N, Kokilavani S, Jagadeeswaran R, Kannan B. Drought analysis in southern region of Tamil Nadu using meteorological and remote sensing indices. Mausam. 2023;74(4):973-88. https://doi.org/10.54302/mausam.v74i4.6040
  21. 21. Geetha B, Ramesh K, Deepa RV, Menaka Gandhi J, Balachandran S, Senthamarai Kannan P, et al. Report of northeast monsoon-2023. Sci Rep No. IMDC-SR/16. India Meteorological Department, Chennai; 2023. 84 p.
  22. 22. Pai DS, Latha Sridhar, Rajeevan M, Sreejith OP, Satbhai NS, Mukhopadhyay B. Development of a new high spatial resolution (0.25° × 0.25°) long period (1901-2010) daily gridded rainfall data set over India and its comparison with existing data sets over the region. Mausam. 2014;65(1):1-18. https://doi.org/10.54302/mausam.v65i1.851
  23. 23. Copernicus Climate Change Service (C3S). ERA5-Land hourly data from 1950 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS); 2019.
  24. 24. Lopez JR, Erickson JE, Asseng S, Bobeda EL. Modification of the CERES grain sorghum model to simulate optimum sweet sorghum rooting depth for rainfed production on coarse textured soils in a sub-tropical environment. Agric Water Manag. 2017;181:47-55. https://doi.org/10.1016/j.agwat.2016.11.023
  25. 25. Djanaguiraman M, Gowsiga S, Govindaraj M, Habyarimana E, Senthil A, Thavaprakaash N, et al. Impact of root architecture and transpiration rate on drought tolerance in stay-green sorghum. Crop Sci. 2024;64(5):2612-29. https://doi.org/10.1002/csc2.21108
  26. 26. Zha X, Xiong L, Liu C, Shu P, Xiong B. Identification and evaluation of soil moisture flash drought by a nonstationary framework considering climate and land cover changes. Sci Total Environ. 2023;856:158953. https://doi.org/10.1016/j.scitotenv.2022.158953
  27. 27. Kanwar J. Cropping patterns, scope and concept. In: Proceedings of the Symposium on Cropping Pattern in India. New Delhi: ICAR; 1972. p. 11-32.
  28. 28. Svoboda MD, Fuchs BA. Handbook of drought indicators and indices. Geneva: World Meteorological Organization; 2016. 52 p. https://doi.org/10.1201/b22009-11
  29. 29. Ghobadi S, Farhadian H, Kahrizi K. An assessment of drought status in Kermanshah Township and an investigation of livelihood capitals influencing farmers' resilience against drought in the region. J Agric Sci Technol. 2024;26(6):1163-75.
  30. 30. Palanisamy B, Narasimhan B, Paul S, Srinivasan R, Wangpimool W, Lim S, et al. Studying onset and evolution of agricultural drought in Mekong River Basin through hydrologic modeling. Water. 2021;13(24):3622. https://doi.org/10.3390/w13243622
  31. 31. Narasimhan B, Srinivasan R. Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agric For Meteorol. 2005;133(1-4):69-88. https://doi.org/10.1016/j.agrformet.2005.07.012
  32. 32. Xu Y, Zhang X, Hao Z, Singh VP, Hao F. Characterization of agricultural drought propagation over China based on bivariate probabilistic quantification. J Hydrol. 2021;598:126194. https://doi.org/10.1016/j.jhydrol.2021.126194
  33. 33. Manoj G. Assessment of drought using SPI at weekly and monthly time scales in Junagadh (Gujarat-India) region. Disaster Adv. 2019;12(11):15-25.
  34. 34. Vengateswari M, Geethalakshmi V, Bhuvaneswari K, Jagannathan R, Dasari HP, Panneer Selvam S. Variability and trends in rainfall and temperature over Tamil Nadu. Int J Agric Sci. 2019;11(10):8463-6.
  35. 35. Fletcher JK, Parker DJ, Turner AG, Menon A, Martin GM, Birch CE, et al. The dynamic and thermodynamic structure of the monsoon over southern India: new observations from the INCOMPASS IOP. Q J R Meteorol Soc. 2020;146:2867-90. https://doi.org/10.1002/qj.3439
  36. 36. Rajeevan M, Unnikrishnan CK, Bhate J, Niranjan Kumar K, Sreekala PP. Northeast monsoon over India: variability and prediction. Meteorol Appl. 2012;19:226-36. https://doi.org/10.1002/met.1322
  37. 37. Rajkumar R, Shaijumon CS, Gopakumar B, Gopalakrishnan D. Extreme rainfall and drought events in Tamil Nadu, India. Clim Res. 2020;80:175-88. https://doi.org/10.3354/cr01600
  38. 38. Manikandan M, Tamilmani D. Spatial and temporal variation of meteorological drought in the Parambikulam-Aliyar basin, Tamil Nadu. J Inst Eng India Ser A. 2015;96:177-84. https://doi.org/10.1007/s40030-015-0121-3
  39. 39. Ramaraj AP, Kokilavani S, Manikandan N, Arthirani B, Rajalakshmi D. Rainfall stability and drought valuation using SPI over southern zone of Tamil Nadu. Curr World Environ. 2015;10(3):507-14. https://doi.org/10.12944/CWE.10.3.23
  40. 40. Sandeep P, Obi Reddy GP, Jegankumar R, Arun Kumar KC. Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets. Ecol Indic. 2021;121:107033. https://doi.org/10.1016/j.ecolind.2020.107033
  41. 41. Mandal KK, Alam S, Jaman T, Bera MK. GIS-based multi-criteria approach for block level drought hazard mapping in the Purulia District, West Bengal, India. Discov Environ. 2025;3:82. https://doi.org/10.1007/s44274-025-00272-0
  42. 42. Pachore AB, Remesan R, Kumar R. Multifractal characterization of meteorological to agricultural drought propagation over India. Sci Rep. 2024;14:18889. https://doi.org/10.1038/s41598-024-68534-0
  43. 43. Jung H, Won J, Kang S, Kim S. Characterization of the propagation of meteorological drought using the copula model. Water. 2022;14(20):3293. https://doi.org/10.3390/w14203293
  44. 44. Sala OE, Gherardi LA, Peters DP. Enhanced precipitation variability effects on water losses and ecosystem functioning: differential response of arid and mesic regions. Clim Change. 2015;131(2):213-27. https://doi.org/10.1007/s10584-015-1389-z
  45. 45. Yu M, Zhang J, Wei L, Wang G, Dong W, Liu X. Impact of soil textures on agricultural drought evolution and field capacity estimation in humid regions. J Hydrol. 2023;626:130257. https://doi.org/10.1016/j.jhydrol.2023.130257
  46. 46. Bal SK, Shivaramu HS, Vijaya Kumar P, Lingaraj H, Sandeep VM, Subba Rao AVM, et al. Re-evaluating soil moisture-based drought criteria for rainfed crops in peninsular India. Front Environ Sci. 2024;12:1319912. https://doi.org/10.3389/fenvs.2024.1319912
  47. 47. Bal SK, Kumar KA, Sudheer KVS, Rao AVMS, Pavani K, Reddy CVC, et al. Dry spell dynamics impacting the productivity of rainfed crops over the semi-arid regions of south-east India. J Agron Crop Sci. 2024;210:e70002. https://doi.org/10.1111/jac.70002
  48. 48. Sreekesh S, Kaur N, Sreerama Naik SR. Agricultural drought and soil moisture analysis using satellite image based indices. Int Arch Photogramm Remote Sens Spatial Inf Sci. 2019;XLII-3/W6:507-14. https://doi.org/10.5194/isprs-archives-XLII-3-W6-507-2019

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