摘要
随着经济的发展、城市化进程的不断推进,提高农业现代化水平和效益成为关键。本文是基于气象大数据云平台(简称“天擎”)所共享的数据、接口,结合成都地区的地理位置,选取15个气象台站,对其近30年降水数据进行整合处理,利用一元线性回归模型拟合得到降水折线趋势图,并用M-K检验法对其进行纠正,从而得到成都地区近30年降水量的变化趋势及分布特征,可为成都的农业农村现代化发展提供精准参考及有效助力。
With the development of economy and the continuous advancement of urbanization process,improving the level and efficiency of agricultural modernization has become the key.Based on the data and interfaces shared by the meteorological big data cloud platform(“Tianqing”for short),combined with the geographical location of Chengdu,15 meteorological stations are selected to integrate and process their precipitation data in the past 30 years.The univariate linear regression model is used for fitting to obtain a precipitation line trend chart,and the M-K test method is used for correction,so as to obtain the variation trend and distribution characteristics of precipitation in Chengdu in the past 30 years,thereby providing accurate reference and effective assistance for the modernization development of Chengdu’s agriculture and rural areas.
作者
刘俊宏
卢会国
韩梦
Liu Jun-hong;Lu Hui-guo;Han Meng(Sichuan Meteorological Observation Data Center,Chengdu 610072,Sichuan Province,China;Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,Chengdu 610072,Sichuan Province,China;College of Electronic Engineering,Chengdu University of Information Technology,Chengdu 610225,Sichuan Province,China;CMA Key Laboratory of Atmospheric Sounding,Chengdu 610225,Sichuan Province,China)
出处
《科学与信息化》
2023年第13期104-107,111,共5页
Technology and Information
关键词
大数据云平台
降水量
特征分析
变化趋势
空间分布
big data cloud platform
precipitation
characteristics analysis
change trend
spatial distribution
