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【目的】研究降雨侵蚀力的空间分布格局。【方法】搜集河北省气象台站降雨数据应用SPSS和ARCGIS地统计软件对其进行分析与模拟。【结果】建立适宜于河北省的降雨侵蚀力的简易模型,并计算各台站的多年平均降雨侵蚀力;应用不同的插值方法进行估值,综合比较各种内插方法的预测误差、统计特征值及插值结果分布图;在2阶趋势条件下,半方差模型采用高斯模型、插值方法为析取克里格方法拟合结果优于采用球状模型与指数模型的其它插值方法。【结论】应用地统计学研究降雨侵蚀力空间分布格局,将有助于精确、定量化地估算土壤侵蚀风险,为科学制定区域水土保持规划和管理策略提供数字地图支持。
【Objective】 To study the spatial distribution of rainfall erosivity. 【Method】 The rainfall data from the meteorological stations in Hebei Province were collected and analyzed by SPSS and ARCGIS geostatistical software. 【Result】 A simple model suitable for rainfall erosivity in Hebei Province was established and the average annual rainfall erosivity of each station was calculated. Different interpolation methods were used to estimate the errors, and the prediction errors and statistical characteristics of various interpolation methods were compared Value and interpolation results. Under the second-order trend, the Gaussian model is adopted in the semi-variance model, and the interpolation method is better than the interpolation method using spherical model and exponential model. [Conclusion] Applying geostatistics to studying the spatial distribution pattern of rainfall erosivity will help to accurately and quantitatively estimate the risk of soil erosion and provide digital map support for scientifically formulating regional soil and water conservation planning and management strategies.