摘要
应用基于PCA-TOPSIS(principal component analysis-technique for order preference by similarity to ideal solu-tion)方法对河北省冬小麦的热量和水分气候资源进行了评价和区划。结果表明,根据冬小麦种植的气候适宜性可将河北省大致分为4个区:河北省南部为最适宜区,水、热资源配合较好;其次为中部和环渤海地区,水、热资源相对不平衡,一定程度上制约了冬小麦的生长发育;再次为东北部地区,水分资源尚可,但热量资源匮乏;最后为北部和西北部地区,水、热资源都较差,最不适宜冬小麦的生长发育。
Using a newly-discovered combination of PCA（ principal component analysis） and TOPSIS （ technique for order preference by similarity to ideal solution） , a study was carried out to evaluate and zone the meteorological hydrothermal resources for winter wheat in Hebei Province. Results show that Hebei Province can be divided into four zones in terms of climate suitability of winter wheat, i.e. South Hebei, the most suitable area for growth of winter wheat, where the heat and water resources match well; Central Hebei and Circum-Bohai area, where the relative imbalance of heat and water resources hinders somewhat growth of winter wheat; Northeast Hebei, where the water resource is tolerable, but lacks heat resource to match it; and North and Northeast Hebei, where the climate resources are the most unsuitable for growing winter wheat.
出处
《生态与农村环境学报》
CAS
CSSCI
CSCD
北大核心
2009年第1期8-11,17,共5页
Journal of Ecology and Rural Environment
基金
中国气象局行业专项项目[GYHY(QX)2007-6-30]
