Wang Xiu-Rong, Zhao Rong, Yu Han, Wang Li-Sheng, Wang Qiong
Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China.
Cangzhou Meteorological Bureau, Cangzhou 061001, Hebei, China.
Ying Yong Sheng Tai Xue Bao. 2020 Apr;31(4):1259-1266. doi: 10.13287/j.1001-9332.202004.013.
To analyze the climatic characteristics of snow resources and quantitatively evaluate the climatic suitability of skiing, we proposed the concept of theoretical snow period from the perspective of climate based on the synoptic principle. We set threshold values of different suitability degrees of three indices closely related to skiing, including air temperature, wind speed, and precipitation. The conversion function of each index was designed after normalization. Based on grey relational theory and Euclidean distance method, we established evaluation model of ski sports climate suitability index, with Changbai Mountain Ski Resort as an example. The results showed that snow resource in Changbai Mountain area was rich. From 1981 to 2018, the average snowfall during the theoretical snow period was 64.6 mm. Under the background of climate change, the average number of snow days and snowfall decreased slightly over the years, with the starting time of snow season being delayed and the ending time being advanced. The number of snow days in the early winter (from the starting time of snow season to the end of December) was significantly less than that in the later winter (from the next January to the end of snow season). Climate in Changbai Mountain was highly suitable for skiing during the snow period. The most suitable and relatively suitable days with respect to air temperature, wind speed and precipitation accounted for 91.9%, 91.8%, and 94.6% of the total, respectively. The cumulative number of days for ski comprehensive weather suita-bility accounted for 99.7%, indicating that most days were suitable for skiing. The concept of theoretical snow period in this study had made up for the problems caused by the lack of meteorological observation data of the first and last snow event on the study of snow resources. The climate suitabi-lity evaluation model of skiing could help make management decision for the development and operation of ski resorts and scientific support for skiing enthusiasts.
为分析积雪资源的气候特征并定量评估滑雪的气候适宜性,我们基于天气学原理从气候角度提出了理论雪期的概念。我们设定了与滑雪密切相关的三个指标(气温、风速和降水量)不同适宜程度的阈值。对每个指标进行归一化处理后设计了转换函数。以长白山滑雪场为例,基于灰色关联理论和欧几里得距离法,建立了滑雪运动气候适宜性指数评价模型。结果表明,长白山地区积雪资源丰富。1981年至2018年,理论雪期内平均降雪量为64.6毫米。在气候变化背景下,多年来平均雪日数和降雪量略有下降,雪季开始时间推迟,结束时间提前。初冬(从雪季开始到12月底)的雪日数明显少于冬末(从次年1月到雪季结束)。长白山地区雪期的气候非常适合滑雪。气温、风速和降水量方面最适宜和较适宜的天数分别占总天数的91.9%、91.8%和94.6%。滑雪综合气候适宜性的累计天数占99.7%,表明大部分日子都适合滑雪。本研究提出的理论雪期概念弥补了因缺乏初雪和终雪气象观测数据给积雪资源研究带来的问题。滑雪气候适宜性评价模型可为滑雪场的开发运营提供管理决策依据,为滑雪爱好者提供科学支撑。