Development of an Interface in MATLAB for Trend Analysis of Hydro-Meteorological Data
作者: J.P. PatilA. SarangiD.K. Singh
刊名: Indian Journal of Agricultural Research, 2020, Vol.54 (1), pp.58-64
来源数据库: Indianjournals.com
DOI: 10.18805/IJARe.A-5236
关键词: CCTAMann-KendallModified Mann-KendallPuneSen's slopeTrend analysis
原始语种摘要: This study presents an interface, ‘Climate Change Trend Analysis (CCTA) ’, developed in MATLAB® environment to analyze the trends using non-parametric statistical methods, Mann-Kendall (MK) test and modified Mann-Kendall (MMK) test with Sen's slope estimator. The interface was used to determine trend in annual and seasonal ( kharif ) rainfall depths in Pune district acquired from 13 observatories. The developed interface automates the trend analysis process, which can further use for detecting variability and trends in the meteorological as well as other hydrological and agricultural parameters. The observed rainfall trends during monsoon would play a significant role for rainfed agriculture in Pune district.
全文获取路径: 印度期刊网 
分享到:

×
关键词翻译
关键词翻译
  • meteorological 气象的
  • trend 
  • rainfall 降雨量
  • seasonal 季节性的
  • monsoon 季风
  • analysis 分析
  • Analysis 分析
  • variability 变异性
  • kharif 雨季
  • annual 年刊