摘要
选取1980—2020年重庆地区逐日平均温度、相对湿度、风速、日照时数等观测资料,基于温湿指数和风效指数对重庆各地的气候适宜度进行计算。应用克里金插值法分析重庆地区气候适宜度的空间分布特征,并对重庆地区四季温和型、夏令避暑型、冬令避寒型、日光疗养型四类养生气候进行了适宜度分析。结果表明:重庆地区四季温和型气候适宜度地区主要集中在重庆东北部和重庆东南部。城口县全年体感舒适天数最多,是重庆地区气候最温和的地区。适合夏季避暑的地区主要在重庆东南部,如酉阳、秀山、彭水南部、黔江南部等。除重庆东南部分地区外,其他大部地区均适合冬季避寒。重庆日光疗养型养生气候舒适度水平呈“东高西低”的分布,东部适宜日光疗养的地区偏多,西部较少。
Based on the daily meteorological data including average temperature,relative humidity,wind speed,and sunshine hours in Chongqing from the national meteorological sciences data center during 1980-2020,the climate comfort was calculated by adopting the temperature-humidity index and wind efficiency index.The spatial distribution characteristics of climate comfort and the suitable areas of the four types of health-preserving climate i.e.the all-season-mild,the summer resort,the winter hibernation,and the sunlight health-preserving in Chongqing area were analyzed using the Kriging interpolation method.Results indicate that the all-season-mild is concentrated in the northeastern and southeastern of Chongqing which are suitable for tourism,health care,and other health activities throughout the year.Chengkou has the most comfortable days in the year and is the most comfortable area in Chongqing.At the same time,the summer resort is focused on the southeast of Chongqing,such as Youyang,Xiushan,the south of Pengshui,and Qianjiang.Furthermore,most areas are suitable for hibernation except the southeastern of Chongqing.While the climate comfort level of sunlight recuperation shows the distribution of“high in the east and low in the west”,that is,the suitable area of sunlight recuperation in the eastern area is more than in western Chongqing.
作者
彭韵萌
钟燕川
何军
夏佰成
张继
王远谋
王凯嘉
PENG Yun-meng;ZHONG Yan-chuan;HE Jun;XIA Bai-cheng;ZHANG Ji;WANG Yuan-mou;WANG Kai-jia(Chongqing Meteorological Service Center,Chongqing 401147,China;China Meteorological Administration Economic Transformation of Climate Resources Key Laboratory,Chongqing 401147,China;Sichuan Climate Center,Chengdu 610072,China;Chongqing Institute of Meteorological Science,Chongqing 401147,China)
出处
《气象与环境学报》
2023年第2期107-112,共6页
Journal of Meteorology and Environment
基金
2022年度地方标准制修订项目(川渝康养度假气候类型划分)(202204/T008)
高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金项目(SCQXKJQN2020025、SCQXKJYJXMS202215)
2023年度四川省气象局软科学研究课题(2023/11)
中国气象局西南区域气象中心重大科研业务项目(西南区域2014-2)共同资助。
关键词
温湿指数
风效指数
克里金插值
Temperature-humidity index
Wind efficiency index
Kriging interpolation method
