抽象的

To Measure Variability in Climatic Factors by Discriptive Statistics and Trend Analysis

T. Vasanth Kumar , D. M. Gowda, K. P. Suresh, K. N. Krishnamurthy

Climate change is today’s burning issue, there are many questions arises on climate change. The present study gives the piece of information regarding the climate change at selected location of Hiriyur in Karnataka. The daily data sets of weather parameter were used to see the climate change in the present investigation. The daily secondary data for this study was obtained from ZARS Hiriyur for the period 1984 to 2013. The weather parameters - maximum temperature, minimum temperature, relative humidity, rainfall, evaporation, and sun shine hours were considered in study. Different statistical techniques applied to the data sets such as descriptive statistics and trend analysis. The variability noticed in the mean of three decades with respect to minimum temperature, evaporation and sun shine hours. There was more variation found in the minimum temperature and sun shine hours during 1st decade (1984-1993) also observed maximum variation in evaporation during 3rd decade (2004-2013) respectively. During the study period the rainfall, relative humidity, sun shine hours and evaporation indicating the declining trend, however the minimum temperature and maximum temperature indicating the increasing trend. Further the minimum temperature, sun shine hours and evaporation trend is found to be significant

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索引于

学术钥匙
研究圣经
引用因子
宇宙IF
参考搜索
哈姆达大学
世界科学期刊目录
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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