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利用高泉沟流域１９８８～１９９５ 年８ 年３１ 个观测小区定位观测的６３ 次产流资料，模拟出了基于ＧＩＳ（ 地理信息系统） 栅格系统的小区降雨—产流综合模型；采用ＡＲＣ／ＩＮＦＯ 系统，建立了研究区栅格ＤＥＭ（ 数字高程模型）、多年平均降水因子等空间数据库；提出了一种新的基于ＧＩＳ栅格系统的计算集水区总产流量的反演算法，模拟分析了高泉沟流域径流资源的时空变异规律．研究结果表明，影响小区产流量的主导因子是小区水平投影面积、坡度、产流雨量、降水总量，以及土壤和植被类型；建立集水区产流量反演算法的关键是确定滞流系数及小区降水—产流模型，反演算法模型的精度依赖于小区产流量综合模型的可靠性及滞流系数的准确性．
Based on the data of 63 runoffs observed and measured in 31 observation areas during 8 years from 1988 to 1995 in the Quanchuan Valley, a comprehensive rainfall / runoff model based on a grid system of GIS (Geographic Information System) was simulated. By using ARC / INFO System, a spatial database of raster DEM (Digital Elevation Model) and multi-year average precipitation factor in the study area has been established. A new inversion algorithm for calculating total catchment yield in catchment area based on GIS grid system is proposed. The simulation analysis Spatiotemporal variation of runoff resources in Gaoquangou watershed. The results show that the main factors influencing the yield of the district are the horizontal projection area, slope, the amount of rainfall, the total precipitation, and the types of soil and vegetation. The key to establish the algorithm of retrieving the output of the catchment is to determine the stagnation coefficient and The accuracy of the model of precipitation-runoff model and inversion algorithm depends on the reliability of the model and the accuracy of the stagnation coefficient.