首页    期刊浏览 2024年11月27日 星期三
登录注册

文章基本信息

  • 标题:To Measure Variability in Climatic Factors by Discriptive Statistics and Trend Analysis
  • 本地全文:下载
  • 作者:T. Vasanth Kumar ; D. M. Gowda ; K. P. Suresh
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2015
  • 卷号:4
  • 期号:4
  • 页码:2337
  • DOI:10.15680/IJIRSET.2015.0404092
  • 出版社:S&S Publications
  • 摘要:Climate change is today’s burning issue, there are many questions arises on climate change. The presentstudy gives the piece of information regarding the climate change at selected location of Hiriyur in Karnataka. Thedaily data sets of weather parameter were used to see the climate change in the present investigation. The dailysecondary 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 wereconsidered in study. Different statistical techniques applied to the data sets such as descriptive statistics and trendanalysis. The variability noticed in the mean of three decades with respect to minimum temperature, evaporation andsun 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 thestudy period the rainfall, relative humidity, sun shine hours and evaporation indicating the declining trend, however theminimum temperature and maximum temperature indicating the increasing trend. Further the minimum temperature,sun shine hours and evaporation trend is found to be significant
  • 关键词:Weather parameters; Descriptive statistics and Trend analysis
国家哲学社会科学文献中心版权所有