Dry and wet spell analysis for agricultural planning in Durg district of Chhattisgarh
DOI:
https://doi.org/10.53550/Keywords:
Chhattisgarh, Crop planning, Gamma distribution, Markov model, Wet spell and dry spellAbstract
Daily rainfall data of 20 years (1991-2010) for Durg, Dhamdha and Patan blocks of Durg district in Chhattisgarh were analyzed for the purpose of agricultural planning. Study revealed that on an average, 138, 139 and 137 days were observed as dry days (rainless days) in Durg, Dhamdha and Patan blocks, respectively during entire monsoon season. Similarly, almost equal numbers of dry days were found in all the three blocks at individual growth stages of rice crop. During complete reproductive phase, including flowering stage, 22-23 dry days occurred at the three study blocks out of 28 days of this phase that fell during 37 to 40 standard meteorological weeks (SMWs). Probability analysis of continuous dry days based on Gamma distribution revealed that during flowering stage (37-38 SMW), an expected dry spell of 7 days at Durg, of 5 days at Dhamdha, and of 4 days may be experienced at 25% probability of exceedance that was considered for rice crop planning, indicating less proneness of drought condition at Patan in comparison to Durg and Dhamdha blocks. At reproductive phase, 3 to 4 days dry spell might occur at all the study blocks. Markov Chain modeling of dry spells indicated that during nursery and reproductive stages of rice crop, the initial and conditional probabilities of dry weeks were as high as 71-90% indicating severe shortage of rainfall and supplemental irrigation was a must for realizing good yields at all the blocks. During seedling and vegetative growth stages, probability of getting wet weeks was found higher and during that period excess rainwater needs to be harvested in on-farm water harvesting structures that could be recycled during flowering and reproductive stages. It was also suggested to plant rice crop in such a way that critical growth stages may coincide, as far as possible, to the period when probability of rainwater occurrence is higher.
References
Chakraborty, P.B. and Mandal, A.P.N. 2008. Rainfall characteristics of Sagar Islands in Sunderban, West Bengal. Ind. J. Soil Cons., 36(3): 125-128.
Chand, M., Kumar, D., Roy, N. and Singh, D.K. 2011. Analysis of rainfall for crop planning in Jhansi district of Bundelkhand zone of Uttar Pradesh. Ind. J. Soil Cons., 39(1): 20-26.
Choudhary, J.L. 1998. A new approach to crop planning through dry and wet spell analysis in Bastar district of Madhya Pradesh. Biome, 8(1&2): 55-56.
Dash, M.K. and Senapati, P.C. 1992. Forecasting of dry and wet spells at Bhubaneshwar for agricultural planning, Ind. J. Soil. Cons., 20(1&2): 75-82.
Gupta, S.K. 1982. Probability analysis of dry days for drainage planning in the catchment. Ind. J. Soil Cons., 10(1): 12-16.
Jakhar, P., Hombe Gowda, H.C., Naik, B.S. and Barman, D. 2011. Probability analysis of rainfall characteristics of Semiliguda in Koraput, Orissa. Ind. J. Soil Cons., 39(1): 9-13.
Jat, M.L., Sammauria, R., Balyan, J.K. and Sharma, R.K. 2010. Crop planning in semi arid tracts of Udaipur region based on rainfall analysis of weekly rainfall. Ind. J. Soil Cons., 38(2): 69-74.
Kumar, Ambrish, Pal, R. and Sharma, H.C. 2007. Probability analysis of monsoon rainfall data of Saharanpur for agricultural planning. Ind. J. Soil Cons., 35(2): 122-124.
Pal, A.R., Rathore, A.L. and Sahu, R.K. 1994. Land use, soil and rainwater management for rainfed rice based cropping systems. Proc., Natl. Sem. on Watershed Management Research and Development, Nagpur: 64-74.
Pali, A.K. 2006. Micro watershed based hydrologic modeling for sustainable agricultural production, Unpublished Ph. D. thesis, Faculty Agril. Engg., IGKV, Raipur.
Pandarinath, B. 1991. Markov chain model probability of dry and wet weeks during monsoon period over Andhra Pradesh. Mausum, 42(4): 393-400.
Panigrahi, B. and Panda, S.N. 2002. Dry spell probability by Markov chain model and its application to crop planning in Kharagpur. Ind. J. Soil Cons., 30(1): 95-100.
Rath, Haripriya, Jena, G.M. and Senapati, P.C. 1996. Forecasting of dry spells and wet spells at Boudhu for agricultural planning. Ind. J. Soil Cons., 24(1): 28-36.
Sahu, R.K. 1993. Determination of crop consumptive use for different duration rice varieties and development of crop coefficient curve for regional planning of water resources, Ind. J. Water Resourc. Soc., 13(1&2): 68-72.
Singh, M. and Bhandari, A.R. 1998. Wet and dry spells analysis using Markov chain model for mid hill region of Himachal Pradesh. Ind. J. Soil Cons., 26(2): 147-152 .
Shrivastav, A.K., Sastri, C.V.S and Garg, R.N. 2004. Rainfall analysis and crop planning in Uttar Pradesh. Annals Agril.Res.,25(2):257-264.



