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Seasonal ARIMA Model for Pomegranate Evapotranspiration - Stochastic Modeling of pomegranate (Punica granatum L.) evapotranspiration

English, German · Paperback / Softback

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The study was carried out for stochastic modeling of reference crop evapotranspiration values estimated by Penman-Monteith method from daily records of climatic parameters. Seasonal ARIMA modeling was performed for the generation and forecasting of weekly ETr values. The steps viz. standardization and normalization of time series variables, identification of the models, determination of the parameters of selected models, diagnostic checking and selection of the best model were performed for fitting the models. The ARIMA(1,1,0)(1,0,1)52, ARIMA(1,1,1)(0,1,1)52, ARIMA(1,1,1)(0,1,1)52 and ARIMA(0,1,1) (0,1,1)52 models were selected for forecasting and generation of weekly ETr values. The forecasted water to be applied were estimated from the crop coefficient, wetted area, total area of the tree and efficiency of the drip irrigation system for the pomegranate tree of 1st to 5th year age. These are: for Solapur station-3.1, 7.1, 19.5, 27.3 and 35.4 litres/day/tree; for Ahmednagar station -2.8, 6.5, 17.7, 24.8, and 32.2 litres/day/tree; for Pune station -2.5, 5.7, 15.9, 22.3, and 28.9 litres/day/tree; for Nasik station 3.3, 7.7, 21.5, 30.18, and 39.4 litres/day/tree.

About the author










Dr. Deodas Tarachand Meshram(Scientist, SS, NRC on Pomegranate, Solapur), completed his M.Tech. (1997) in Water Resources Development and Management from IIT, Kharagpur and Ph.D. from CTAE, MPUAT, Udaipur with specialization in Irrigation Water Management Engineering.He is having 14 years of experience in research, education and extension.

Product details

Authors Suni Gorantiwar, Sunil Gorantiwar, Deoda Meshram, Deodas Meshram, Hemat Mittal
Publisher LAP Lambert Academic Publishing
 
Languages English, German
Product format Paperback / Softback
Released 10.05.2012
 
EAN 9783848438198
ISBN 978-3-8484-3819-8
No. of pages 196
Dimensions 150 mm x 220 mm x 12 mm
Weight 310 g
Subject Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics

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