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基于地理因子的福建省年降水空间估算模型研究
引用本文:王亚琼,卢毅敏.基于地理因子的福建省年降水空间估算模型研究[J].长江科学院院报,2017,34(10):11-16.
作者姓名:王亚琼  卢毅敏
作者单位:福州大学 a.福建省空间信息工程研究中心;b.空间数据挖掘与信息共享教育部重点实验室,福州 350002
摘    要:为研究福建省多年平均降水量的空间分布格局,为工农业生产、自然灾害预测、生态环境建设提供科学依据,利用福建省及周边区域35个气象站点1951—2011年降水资料,分析年均降水量与海拔、纬度、距海岸距离、坡向的相关性;同时,结合多元回归方程和克里金插值构建降水空间估算模型,反映出年均降水量空间分布的总体趋势,突出局部地区降水的差异,估算福建省1951—2011年年均降水量空间分布。结果表明:已知气象站点年均降水量估算的平均相对误差为3.4%,绝对误差为56 mm,验证站点的平均相对误差为3.6%;福建省年均降水量从东南沿海向西北山区呈现波动式上升的特点。

关 键 词:地理因子  年降水量    回归拟合  克里金插值  空间分布  福建省  
收稿时间:2016-06-01
修稿时间:2016-07-11

Simulation of Annual Precipitation Based on Geographic Factors in Fujian Province
WANG Ya-qiong,LU Yi-min.Simulation of Annual Precipitation Based on Geographic Factors in Fujian Province[J].Journal of Yangtze River Scientific Research Institute,2017,34(10):11-16.
Authors:WANG Ya-qiong  LU Yi-min
Institution:1.Spatial Information Research Center of Fujian Province, Fuzhou University, Fuzhou 350002, China;2.Key Laboratory of Data Mining & Information Sharing of Ministry of Education, Fuzhou University,Fuzhou 350002, China
Abstract:The aim of this research is to estimate the spatial distribution of annual mean precipitation in Fujian Province,hence offering scientific basis for industrial and agricultural production,natural disaster forecasting,and ecoenvironmental construction.According to precipitation data at 35 meteorological stations in Fujian province and its surrounding areas,the correlation between annual precipitation and four geological factors respectively (elevation,latitude,distance to sea shore,and slope gradient) were analyzed.Furthermore,a model was established in association with the multiple regression equation and the Kriging interpolation to estimate the spatial distribution of annual mean precipitation in Fujian Province from 1951 to 2011.The model reflects the general trend of the spatial distribution of annual precipitation,and also highlights the difference of precipitation in local areas.Results revealed that the relative average error of the fitted stations is 3.4%,and the mean absolute error is 56 mm;while the mean absolute error of the precision verification result is 3.6%.The annual precipitation displayed a wave-like rising trend from the southeast coast to the northwest mountains.
Keywords:geographical factors  annual precipitation  regression fitting  Kriging interpolation  spatial distribution  Fujian Province
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