Abstract:
Take Zanhuang County in the eastern part of Taihang Mountains, as an example, the author chose the data of the annual mean precipitation by the hydrometric station of this county and the meteorological sta- tions nearby from 1971 to 2000 and the longitude, latitude and altitude of each station as the study objects1 Us- ing regression analysis, the author built the forms of the spatial predicted model of the annual precipitation and also determined the applicable altitude zone of each model through 3R rule1 The result shows that the models of X logarithms and double logarithms are applied in the mountainous area with the altitude of less than 10281975 m; the modelsof linearity,Ylogarithms andYsquare root are applied in the mountain area with the altitude of less than 4081482 m; the models ofXsquare root and double square root are applied in the mountain area with the altitude of less than 5181481 m; while the models of hyperbola ( 1) and hyperbola ( 2) are generally not ap- plied to the prediction of precipitation in mountainous areas1 The model of double logarithms is the best in both simulating and predicting among all these models1
Key words:
Normal distribution,
Linear regression,
Non-linear regression,
Predicted model,
Mountainous areas
CLC Number:
KANG Xi-yan, MA Hui-jie, ZHAO Chun-lei. The Study on the Spatial Predicted Model of the Annual Precipitation in Taihang Mountain Area[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2004, 19(4): 111-113. doi: 10.3321/j.issn:1000-7091.2004.04.031.