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本文采用地温资料建立影响高寒草甸牧草产量的正交多项式积分回归模式，具有一定的实用价值。通过分析表明，回归模式：模式模拟的拟合率较高，平均相对误差为2．32％，达极显著相关的检验水平（P＜0．01）。试报1994和1995年牧草产量，相对误差分别为3．48％和4．68％，预报准确率较高。从地温时间分布影响产草量的阶段性效应分析看，除6月中下旬和7月下旬有正的影响效应外，其它时间基本为负的影响效应，特别是牧草萌发到返青的4月中旬到5月下旬负效应甚为明显。这可能与冬季地温低，土壤冻结坚实，地表面水分蒸发少，利于土壤保持较高的水分条件有关。
In this paper, the use of geothermic data to establish an orthogonal polynomial integral regression model that affects alpine meadow pasture production has some practical value. Through the analysis, the regression model shows that the fitting rate of model simulation is high, with an average relative error of 2.32%, reaching a very significant correlation (P <0.01). The yield of herbage in 1994 and 1995 was tested, the relative errors were 3.48% and 4.68% respectively, and the forecast accuracy was high. According to the staged effect analysis of the time-dependent distribution of geothermal temperature on grass yield, except for the positive and negative effects in late June and late July, the other time is basically negative, especially the mid-April of pasture germination to rejuvenation The negative effect in late May is very obvious. This may be related to low ground temperature in winter, solid freezing of soil, less evaporation of water on the ground surface and better soil retention of higher water conditions.