基于GIS技术和BP神经网络的我国假高粱适生性气候区划  

Suitable climatic distribution of Sorghum halepense based on GIS and BP neural network in China

作　　者：郭琼霞[1] 黄娴[1,2] 黄振[1] 

机构地区：[1]福建出入境检验检疫局,福建福州350001 [2]福建农林大学植物保护学院,福建福州350002

出　　处：《福建农林大学学报（自然科学版）》2012年第2期193-196,共4页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

基　　金：福建省科技厅重大专项资助项目(2006NZ0002-1);国家质检总局资助项目(2007IK252)

摘　　要：利用GIS技术和BP神经网络模型开展假高粱适生性气候分布预测.根据假高粱对气候条件的要求,确定假高粱的适生性气候区划指标;利用全国570个气象台站的气候资料和1∶25万地形数据,通过BP神经网络的仿真预测,对78个站点的空缺区划指标因子数据进行插值;采用GIS技术划分出假高粱适生区、潜在适生区和非适生区.Basd on GIS and BP neural network, the suitable climatic distribution of Sorghum halepense was predicted. According to the climatic condition for Sorghum halepense, the fitness index for suitable division of S. halepense was determined; using the climatic data of 570 national weather stations and the landform data on the scale of 1 ： 250000, by the prediction of BP neural network, the interpolation for the absent data of 78 weather stations was accomplished; by the method of GIS, the Johnson grass＇s suitable district, potential suitable district and unsuitable establishment area were divided.

关 键 词：假高梁 适生性分布 气候区划 BP神经网络 GIS 

分 类 号：S431.9[农业科学—农业昆虫与害虫防治]