摘要
采用成都市主城区日供水量数据,对日供水量与气温、降水、日照等气象要素进行相关分析,选取相关性较高的平均气温作为预报因子,建立逐月、逐季、逐年日供水量的简易预报模型,完成日供水量的1℃效应量分析。日供水量预报模型的建立,通过在自来水专业气象服务业务应用,对供水调度起到一定指导作用,并在一定程度上解决了供水调度存在的盲目性。
By using the data of daily water supply in Chengdu city,the correlation between daily water supply and the meteorological factors,such as temperature,rainfall,and sunshine were analyzed.The average temperature with higher correlation was selected as the predictor,established a simple forecast model of monthly,quarterly,and year-by-year daily water supply,and completed the 1℃effect amount analysis of the daily water supply.The establishment of the daily water supply forecast model,through its application in the professional meteorological service of tap water,plays a guiding role in water supply dispatching,and solves the blindness of water supply dispatching to a certain extent.
作者
许晨
蔡欣明
孔卫奇
XU Chen;CAI Xinming;KONG Weiqi(Chengdu Meteorological Bureau,Chengdu 610000,China;Xinjin District Meteorological Bureau,Chengdu 611430,China)
出处
《成都信息工程大学学报》
2022年第5期608-614,共7页
Journal of Chengdu University of Information Technology
关键词
日供水量
相关分析
气象要素
预报模型
1℃效应量
daily water supply
correlation analysis
meteorological factors
forecast model
the 1℃ effect amount
