摘要
研究不同统计时段内降水量总体统计特征对于农业生产的合理布局、水资源的有效开发和利用以及大型水利工程的设计具有重要的指导意义,通过建立概率分布模式来研究一定时段内降水量总体统计分布特征不失为一条有效的途径。国外学者从50年代开始在此领域做了大量工作,提出了多种模型,得到了一些有意义的结论。与国外相比国内在这方面虽然做些工作,但还存在着一定的差距,所做的工作还不够深入全面,因此进一步开展降水量概率分布模式的理论和应用研究是十分必要的。
In this paper, a general Gamma probability model is built for the precipitation amount in various statistical periods based on the data from 5 long-record stations selected. An improved maximum likelihood method to compute the model's parameters is also presented. By means of some empirical curve fitting, it is found that the shape and scale parameters of the model are related to the statistical periods (number of days) and both the parameters and number of statistical days possess the relationship of the quadratic curves. In addition, it is also shown that there are significant seasonal variations in these parameters, which reflect the characteristic of the monsoon climate in China.
出处
《气象学报》
CSCD
北大核心
1991年第1期80-84,共5页
Acta Meteorologica Sinica
基金
国家自然科学基金
