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Accueil du site → Master → Inde → 2017 → Determination of Agricultural land drainage coefficient using rainfall probability analysis for Osmanabad district

Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani (2017)

Determination of Agricultural land drainage coefficient using rainfall probability analysis for Osmanabad district

Kamble, Ashivini Ashokrao

Titre : Determination of Agricultural land drainage coefficient using rainfall probability analysis for Osmanabad district

Auteur : Kamble, Ashivini Ashokrao

Université de soutenance : Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani

Grade : Master of Technology (Agricultural Engineering) 2017

Résumé partiel
The present study was planned to evaluate drainage needs for the soils of Osmanabad region by determining the drainage coefficient of agricultural lands and development of spatial maps of drainage coefficient using GIS. For this investigation taluka-wise daily rainfall data of eight stations of district viz., Bhoom, Kallamb, Lohara, Omerga, Osmanabad, Paranda, Tuljapur and Washi of Osmanabad district for the period of 31 years (January 1986 to December 2016) were collected from Maharashtra Engineering Research Institute (MERI), Nashik. The rainfall data was arranged year wise in descending order. The observed values of maximum 1 to 5 consecutive maximum rainfall were computed by Weibull’s method. The expected values of maximum 1 to 5 consecutive maximum rainfall were estimated using various probability distributions such as Gumbel, Lognormal, Log Pearson Type III and Normal. Using the standard equations and adopting the prescribed procedure, 1 to 5 consecutive day’s maximum rainfall values were estimated. The observed and expected values of 1 to 5 consecutive maximum rainfalls were compared using Chi-square test and the best fit probability distribution was determined. Based on the expected consecutive day’s maximum rainfall estimated by the best fit probability distribution, basic infiltration rate of soil, recurrence period the drainage coefficients were estimated. In order to avoid tedious calculations and time the VNMKV_DCS software developed by VNMKV Parbhani was used for determination of drainage coefficient. The maps showing spatial distribution of drainage coefficient for Osmanabad were developed using Inverse Distance Weighing Technique of GIS It is observed that Gumbel, Normal and Log Pearson Type III distributions were best fitted to almost all stations of Osmanabad district whereas Log normal distribution was fitted best only for Osmanabad station for 5 consecutive day’s maximum rainfall values. Results showed that there are more chances of occurrence 1 day or 2 consecutive days maximum rainfall at all the stations except Bhoom where consecutive day’s maximum rainfall can be expected till 4 days.

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