陇中地区农业气候模糊聚类区划  

Agricultural Climatic Regionalization by Fuzzy Clustering in Central Gansu Province

作　　者：陈思宇 罗鹏斌 张杰丹 常自祎 

机构地区：[1]甘肃省康乐县气象局,甘肃康乐731300 [2]临夏州气象局

出　　处：《现代农业科技》2017年第2期180-182,共3页Modern Agricultural Science and Technology

基　　金：国家重点基础研究发展计划

摘　　要：为了探讨考虑气候变化影响的气候区划方法,选用陇中10个站1981—2011年年平均气温、≥10℃活动积温、年平均蒸发量、年平均降水量、年平均相对湿度、干燥度、≥1 mm年降水日数、年日照时数和年平均日照百分率的平均值及其均方差为气候分区的9个基本因子,以各站之间的相似系数建立模糊关系,进行模糊聚类分析。按不同聚类水平,区划出温和、温凉、温寒、寒冷等气候类型,区划结果与气候特征和地理要素吻合较好,也为其他专业区划奠定了基础。In order to study the climate regionalization method considering the effects of climatic changes,9 basic meteorological factors from 10 stations in central Gansu Province from 1981 to 2011 were chosen,including annual mean temperature,accumulated temperature above 10 ℃,mean annual evaporation,average annual precipitation,annual average relative humidity,dryness, ≥1 mm annual precipitation days,average annual sunshine hours,annual average sunshine percentage. The mean and the mean square error of the factors above were calculated for climate regionalization. The fuzzy matrices were constructed by similarity coefficient among 10 stations to conduct fuzzy clustering. According to different clustering level,several climate styles were regionalized,such as mild area,cool-warm area,mild-cold area and cold area. Regionalization results coincided with climate character and geography elements,and laid basis for other professional regionalization.

关 键 词：模糊聚类 农业气候区划 陇中地区 

分 类 号：S162.2[农业科学—农业气象学]