Rainfall Probability Analysis for Crop Planning in Ganjam District of Hirakud Command Area of Odisha, India
DOI:
https://doi.org/10.5281/zenodo.10450052Keywords:
Rainfall, probability analysis, crop planning, command area, HirakudAbstract
This study was under taken in the U.G. thesis work in the Dept. Of SWCE, CAET, OUAT, Bhubaneswar during the year 2018-19.Ganjam district has latitude of 19o23'15''N and a longitude of 85o 03'05''E. The average rainfall at Anugul district is around 1132.7 mm, though it receives high amount rainfall but most of the rainfall occurred during khari .So most of the crops get low yield due to improper crop planning. Thus, this study is proposed to be undertaken with the following objective: Probability analysis of annual, seasonal and monthly rainfall data of Ganjam district. So rainfall data were collected from OUAT, Agril Meteorology Dept. from 2001 to 2017(17 years) monthly, seasonal and annual rainfall was analysed. Probability analysis have been made and equations were fitted to different distributions and best fitted equations were tested. Monthly, Annual and seasonal probability analysis of rainfall data shows the probability rainfall distribution of Ganjam district in different months, years and seasons. It is observed that rainfall during June to Sep is slightly less than 1000 mm and cropping pattern like paddy(110 days) may be followed by mustard is suitable to this region. Also if the kharif rain can be harvested and it can be reused for another rabi crop by using sprinkler or drip irrigation, which will give benefit to the farmers. Annual rainfall of Ganjam district is 1132.7 mm at 50% probability level.
References
Biswas, B. (1990). Forecasting for agricultural application. Mausam 41(2), 329–334.
Chow, V. (1964). Hand book of Applied Hydrology. McGraw Hill Book Co.
Das, M. (1992). Analysis of agrometerological data of Bhubaneswar for crop planning. C.A.E.T., OUAT.
Gumbel, E. (1954). Statistical theory of droughts. Proceedings of ASCE 439, 1–19.
Gumbel, E. (1958). Statistics of extreme. Columbia University Press, New York.
Harshfield, D. and Kohlar, M. (1960). An empirical appraisal of the Gumbel extreme procedure. J. of Geophysics Research 65, 1737–1746.
Jat, M. L., Singh, R. V., Balyan, J. K., Jain, L. and Sharma, R. (2006). Analysis of weekly rainfall for Sorghum based crop planning in Udaipur region. Indian J. Dryland Agric. Res. Dev 21, 114–122.
Kar, G., Singh, R. and Verma, H. (2004). Alternative cropping strategies for assured and efficient crop production in upland rain
fed rice areas of eastern India based on rainfall analysis. J. of Geophysics Research 67, 47–62.
Panigrahi, B. (1998). Probability analysis of short duration rainfall for crop planning in coastal Orissa. Indian J. Soil Cons., 26, 178–
Reddy, S. (1999). Principles of Agronomy. 1st edition. Kalyani publication.
Sadhab, P. (2002). Study of rainfall distributions and determination of drainage coefficient: A case study for coastal belt of Orissa. C.A.E.T., OUAT.
Senapati, S. C. and Sahu, A.P.and Sharma, S. (2009). Analysis of meteorological events for crop planning in rain fed uplands. Indian J. Soil Cons., 37, 178–182.
Sharda, V. and Das, P. (2005). Modeling weekly rainfall data for crop planning in a sub-humid climate of India. Agricultural Water Management 76, 120–138.
Subramanya, K. (1990). Engineering Hydrology. 23rd reprint. Tata Mc-graw Hill Publishing Company Ltd.
Subudhi, C. (2007). Probability analysis for prediction of annual maximum daily rainfall of Chakapada block of Kandhamal district of Orissa. Indian J. Soil Cons., 35, 84–85.
Subudhi, C., Suryavansi, S. and Jena, N. (2019). Rainfall probability analysis for crop planning in Anugul block of Anugul district of Hirakud command area of Odisha,India. International Journal of Humanities and Social Sciences 8, 49–54.
Thom, H. (1966). Somemethods of climatological analysis. WMO Tech.
Weibull, W. (1951). A statistical distribution functions of wide applicability. J. Appl. Mech 18, 293–297.
Downloads
Published
License
Copyright (c) 2023 Forefront in Engineering & Technology
This work is licensed under a Creative Commons Attribution 4.0 International License.