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华东地区气候舒适度精细化估算及其分布特征研究
引用本文:张狄,史岚,丁浒,张广运,王锋.华东地区气候舒适度精细化估算及其分布特征研究[J].云南大学学报(自然科学版),2015,37(5):695-704.
作者姓名:张狄  史岚  丁浒  张广运  王锋
作者单位:1.南京信息工程大学 地理与遥感学院, 江苏 南京 210044;
摘    要:结合19642013年华东区域常规气象站气象观测资料与数字高程模型DEM(Digital Elevation Model),利用黄金分割舒适度指数计算方法,在GIS平台上对起伏地形下华东区域气候舒适度进行精细化空间估算,并分析其在该区域的时空分布特征,其结果可为区域气候资源开发利用提供参考.结果表明:气候舒适度在空间上其等级分布趋势为由低纬到高纬、由低海拔到高海拔、由近海到内陆而逐渐降低;在时间上春季4、5月和秋季9、10月最为舒适;从各省份来看,气候舒适度等级年内变化差异从大到小依次是山东、江苏、安徽、上海、浙江、江西和福建.气候舒适期为4个月的区域面积最大,总面积30.61万km2.

关 键 词:气候舒适度    黄金分割法    气候资源开发与利用    精细化估算    地理信息系统
收稿时间:2015-05-25

The regional climate comfort levels fine estimation and its distribution characteristics in East China
ZHANG Di,SHI Lan,DING Hu,ZHANG Guang-yun,WANG Feng.The regional climate comfort levels fine estimation and its distribution characteristics in East China[J].Journal of Yunnan University(Natural Sciences),2015,37(5):695-704.
Authors:ZHANG Di  SHI Lan  DING Hu  ZHANG Guang-yun  WANG Feng
Institution:1.School of Geography & Remote Sensing, Nanjing University of Information Science and Technology, Nanjing 210044, China;
Abstract:This paper,based on conventional meteorological observation data in East China which from 123 conventional weather stations during 1964-2013 and digital elevation model (DEM),performed a detailed estimation in terrain,by using the method of 'golden mean comfort-index standard and analyzed the space-time distribution of regional climate comfort difference.The results provide a reference for the exploitation and utilization of regioal climate resources.It indicates that,the climate comfort-index are gradually reduced from low to high latitude and altitude,and from the coastal to the inland.Meanwhile,the most comfortable time of East China are the April and May in spring and the September and October in autumn.Besides,the biggest and the smallest annual changes of the climate comfort-index are the Shandong Province and the Fujian Province.In addition,there are 306100km2 area whith have the climate comfortable period as long as four months.
Keywords:climaticcomfortlevels    goldenmean    climateresourcesexploitationandutilization    afineestimationandevaluation    GIS  
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