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张家界市袁家界景区人体舒适度研究
引用本文:李洁,孙青,彭景,晏丽. 张家界市袁家界景区人体舒适度研究[J]. 现代农业科技, 2024, 0(10)
作者姓名:李洁  孙青  彭景  晏丽
作者单位:吉首大学土木工程与建筑学院,吉首大学土木工程与建筑学院,吉首大学土木工程与建筑学院,吉首大学土木工程与建筑学院
摘    要:在全球变暖大趋势下,我国夏季高温热浪天气频繁出现,研究张家界市袁家界景区夏季小气候与人体舒适度的日变化规律具有特殊意义。选择3个样地进行实地调研,于晴好天气测其气温、湿度和风速,计算人体舒适度指数,量化分析各样地人体舒适度的日变化规律及差异,并提出夏季游览袁家界景区的建议。各景点人体舒适度表现为:天下第一桥>迷魂台>百龙天梯。天下第一桥最舒适的时段为9:00-13:00,迷魂台为9:00-12:00,百龙天梯为9:00-11:00、16:00-17:00。综上,早晨和傍晚是夏季袁家界景区人体舒适度最高的时刻,最适宜展开森林游憩活动。除温度、湿度和风速外,植物覆盖率、植物配置、空间通透性等因素也会对人体舒适度有一定影响,在未来的研究中,可考虑加强对这些因素的考量,以便更好地优化人体舒适度模型,并将其与当地的环境条件相结合,以满足当地的服务需求。

关 键 词:小气候  人体舒适度  日变化规律
收稿时间:2023-08-14
修稿时间:2023-08-14

Study on Human Comfort in Yuanjiajie Scenic Area of Zhangjiajie City in Summer
Yan Li. Study on Human Comfort in Yuanjiajie Scenic Area of Zhangjiajie City in Summer[J]. Modern Agricultural Sciences and Technology, 2024, 0(10)
Authors:Yan Li
Abstract:Under the general trend of global warming, high-temperature and heatwaves occur frequently in summer in China. It is of special significance to study the diurnal variation of summer microclimate and human comfort in Yuanjiajie Scenic Area of Zhangjiajie. Three sample plots were selected for field investigation. The temperature, humidity and wind speed were measured in fine weather, and the human comfort index was calculated. The daily variation law and difference of human comfort in various plots were quantitatively analyzed, and suggestions for visiting Yuanjiajie scenic spot in summer were put forward. The human comfort of each scenic spot is as follows : Tianxia First Bridge > Mi Huntai > Bailong Tianti. The most comfortable period of the Tianxia First bridge in the world is 9 : 00-13 : 00, Mi Huntai is 9 : 00-12 : 00, and the Bailong Tianti is 9 : 00-11 : 00 and 16 : 00-17 : 00. In summary, morning and evening are the most comfortable time for human comfort in Yuanjiajie scenic spot in summer, and it is most suitable for forest recreation activities. In addition to temperature, humidity and wind speed, plant coverage, plant configuration, spatial permeability and other factors will also have a certain impact on human comfort. In future research, we can consider strengthening the consideration of these factors in order to better optimize the human comfort model and combine it with local environmental conditions to meet local service needs.
Keywords:microclimate  human comfort  diurnal variation
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