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- Title
缺资料地区降水系列的插补及验证.
- Authors
姬世保; 杜军凯; 仇亚琴; 刘 欢; 吕向林
- Abstract
Aiming at areas which have no sufficient precipitation data, an interpolation method of daily scale precipitation data was proposed. This method could obtain the daily precipitation in some deficient data areas by means of conversion of time scale and space transplantation of existing data. The results show that a) the error between the simple daily intensity, very wet days and consecutive wet days of the interpolation result of Deqing Station and the measured series is less than 3%, compared with the daily data of interpolation result which gained by surrounding stations directly, the correlation coefficient between the monthly precipitation of each station and the measured value is increased by 0.11 on average, and the RMSE is reduced by 42.3%;b) when the interpolation results are used as the input in distributed hydrological simulation, the runoff simulation effect has been effectively improved, the Nash coefficient is increased from 0.62 to 0.87, and the relative error is reduced from -4.2% to - 2.3% during the period of 1960-2018 and; c) the correlation coefficient, the 5-day maximum precipitation and very wet days of daily interpolation result have a great influence to the distributed hydrological simulation in the study area.
- Publication
Yellow River, 2021, Vol 43, Issue 5, p42
- ISSN
1000-1379
- Publication type
Article
- DOI
10.3969/j.issn.1000-1379.2021.05.008