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Subject: Agricultural Statistics and Informatics × Author: Khan, Yunish × End date: 2024 ×
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    ThesisItemOpen Access
    Assessment of long term trends in weather parameters at Manipur (District Imphal East)
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2020-10) Khan, Yunish; Ahmad, Haseen
    The present investigation was carried out to study the weather parameters viz. maximum temperature, minimum temperature and precipitation for Manipur (District Imphal East) over the period of 102 years (1901-2002). The data were collected from Indian Water Portal website www.indianwaterportal.org. The objectives of the study were to analyze the trends, variability and distribution fitting for weather parameters on annual, seasonal and monthly basis and different measures of statistics viz. mean, standard deviation, skewness, kurtosis etc. were calculated to test the normality of weather parameters by using Microsoft Excel and IBM SPSS software. The values of 𝛾 􀎲 0, 𝛽 􀎲 0 shows that the weather parameters did not follow normal distribution. A comparative study was made among the weather parameters by fitting a trend line by method of least squares to obtained best fitted straight line trend. Then studied the best fit distributions by using Easy Fit 5.6 Software. The study showed significantly increasing trends for winter and pre-monsoon season’s precipitation and significant decreasing trends for monsoon and post-monsoon seasons precipitation, whereas annual & monthly precipitation showed significant decreasing and insignificant increasing trends. For maximum temperature; winter, pre-monsoon, monsoon and post-monsoon seasons showed significant increasing and decreasing trends. For minimum temperature, pre-monsoon and post-monsoon seasons showed significant increasing and decreasing trends while winter and monsoon seasons showed insignificant increasing and decreasing trends. Annual maximum temperature showed significant increasing trend whereas annual minimum temperature showed insignificant increasing trend. Monthly maximum and minimum temperatures showed insignificant increasing trends.