降水是地表淡水资源的主要来源，降水分布强烈的时空异质性给陆地水循环研究带来了较大不确定性，因此降水的空间异质性及其影响因子研究一直是水循环研究的重点。选取观测资料丰富的华东地区，采用351个气象台站降水观测数据，通过一般线性回归模型、地理加权回归模型和多尺度地理加权回归模型的拟合结果，研究了典型地形因子对降水空间分布的影响及其影响尺度。结果表明，传统的一般线性回归模型不能表征降水分布的空间异质性，而地理加权回归模型和多尺度地理加权回归模型均较好地拟合出了降水在空间上的非均匀分布（R^{\mathrm{2}}>0.7）。此外，多尺度地理加权回归模型的带宽数还反映了各地形因子对降水空间分布的影响尺度。一般说来，带宽数较小的局地影响因子对降水的空间异质性影响较强。对于年降水量，地形高程和地形起伏度是影响降水空间异质性的主要地形因子，而地形坡度和主风向系数对降水的影响不显著。在不同季节，各地形因子对降水空间分布的影响程度不同。地形高程对夏季降水影响较大；离海岸线距离对春、秋季南部山区降水影响较大；地形起伏度对冬季降水有重要影响。厘清我国不同季节降水与地形因子间的关系，有助于理解各季节复杂地形因子对降水的贡献，为地形复杂地区的模式模拟及改进提供支撑。

Precipitation is the main source of surface freshwater. The temporal and spatial heterogeneity of precipitation distribution brings great uncertainty to the study of the surface water cycle. The study of spatial heterogeneity and the factors influencing precipitation has always been the focus of water cycle research. To explore the relationship between the spatial distribution of precipitation and terrain factors， 351 precipitation observation stations in eastern China with abundant observational data were used according to the Ordinary Least Squares regression （OLS）， Geographically Weighted Regression model （GWR）， and Multi-scale Geographically Weighted Regression model （MGWR）. The results show that OLS cannot show the influence of terrain factors on the spatial heterogeneity of precipitation distribution， while GWR and MGWR achieved a better goodness of fit and stronger interpretability （Goodness of fit R²>0.7）. Furthermore， the MGWR can reflect the scale effects of terrain factors on the spatial distribution of precipitation based on bandwidths， and local influencing factors with smaller bandwidths have a stronger influence on the spatial heterogeneity of precipitation. For the annual average precipitation， the terrain elevation and terrain relief are the main terrain factors that affect the spatial heterogeneity of precipitation， while the terrain slope and Prevailing Wind-direction Effect Index （PWEI） have no significant impact on precipitation. However， seasonally， the influence of different terrain factors on the spatial distribution of precipitation is different. Specifically， in summer， terrain elevation is more important than other factors； in spring and autumn， the distance from the coast plays an important role in the mountain regions， and in winter local influencing factors such as terrain relief mainly affect the spatial distribution of precipitation. Clarifying the relationship between precipitation and terrain factors can help us understand the contribution of complex terrain factors （in all seasons） to precipitation and provide support for model simulation and improvement in regions with a complex topography.