Development of agricultural land drainage coefficient through rainfall analysis for Hingoli district
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Date
2015-10-30
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Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani
Abstract
Talukawise daily rainfall data of 30 years (1983-2012) were analyzed to
ascertain 1 to 2-5 consecutive day’s maximum rainfall of Hingoli district. The
observed values were estimated by Weibull’s plotting position method and
expected values of maximum rainfall were estimated by four well known
probability distributions viz., Gumbel, Lognormal, Log Pearson Type HI and
Normal. The relative performance of 4 probability distributions with respect to
Weibull’s plotting position method applied to estimate 1 to 5 consecutive days
maximum rainfall has been studied to understand the behavior of these
distributions and to assess the reliability of design rainfall corresponding to
various return period. Lognormal distribution with lowest Chi-squwere value
found to be best probability distribution in predicting 1 to 5 consecutive days
maximum rainfall for Aundha Nagnath and Hingoli talukas. Normal
distribution with -lowest Chi-squwere value found to be best probability
distribution in predicting 1 to 5 consecutive days maximum rainfall for Basmat,
Kalmnuri and Sengaon talukas. 1 day and 2 to 5 consecutive days maximum
rainfall corresponding to return period varying from 2 to 100 years, basic
infiltration rate and crop tolerance period, help in determination of drainage
coefficient for agricultural fields.
In order to reduce the time required for computation of D.C. Department
of Irrigation & Drainage Engineering, College of Agricultural Engineering and
Technology, VNMKV Parbhani has developed the VNMKVDCS software
after preparation of flow chart according to the process used in manual
calculation. The visual basic (VB.NET) computer language was used to
developed the software named as VNMKV_ DCS for determination of
drainage coefficient during the year 2014-2015. The result obtained for
drainage coefficient from manual calculation and software output was
compared and no variation Was observed. The result of software matching
correctly with manual computation. Hence, the software is validated which is
friendly and save time.
It is concluded that the soils of Aundha Nagnath station having basic
infiltration rate between 1 to 3 mm h"1 necessarily have to be provided with
agricultural land drainage system based on tolerance of different crops to
waterlogging. Similarly It is concluded that the soils of Basmal station having
basic infiltration rate between 1 to 3 mm h'1, soils of Hingoli station having
basic infiltration rate between 1 to 3 mm h'1, soils of Kalmnuri station having
/
basic infiltration rate between 1 to 3 mm h'1 and soils of Sengaon station
having basic infiltration rate between 1 to 3 mm h'1 necessarily have to be
provided with agricultural land drainage system based on tolerance of different
crops to waterlogging.
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