摘要
以漓江流域周边17县市气象台站及流域内15个自动气象站的基本地理信息和各站点2010年降雨量资料为基础数据,GIS为操作处理平台,采用反距离加权插值法(IDW)、克里格插值法(Kriging)和协克里格插值法(CoKriging),对降水相对集中的六月、夏季及全年降雨量数据进行插值处理,并利用15个自动站的降雨量数据,以平均绝对误差(Mean Absolute Error,MAE)和插值平均误差平方的平方根(Root Mean Squared Interpolation Error,RMSIE)两种插值评价方法对插值结果进行评价分析。分析结果表明,利用反距离加权插值法对漓江流域内进行降雨量插值处理精度评价最高。
Based on thel7 weather stations, 15 automatic weather stations of the basic geographic information around the Lijiang River Basin and the site 2010 rainfall material as the foundation data, the June, summer and annual precipitation was interpolated by methods of Inverse Distance Weighting, Kriging and CoKriging on the GIS platform. On the basis of 15 automatic stations precipitation data, the interpolating results were evaluated by Mean Absolute Error (MAE) and Root Mean Squared Interpolation Error (RMSIE) . It is showed that the Inverse Distance Weighting method is the most accuracy method for interpolating the precipitation of Lijiang River Basin.
出处
《气象研究与应用》
2011年第4期30-33,共4页
Journal of Meteorological Research and Application
关键词
漓江流域
降雨量
GIS
插值
Lijiang fiver basin
rainfall
GIS
interpolation