College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
College of Applied Arts and Sciences, Beijing Union University, Beijing 100191, China.
Sci Total Environ. 2021 Feb 10;755(Pt 1):142734. doi: 10.1016/j.scitotenv.2020.142734. Epub 2020 Oct 6.
The rising temperature makes the weather becoming more extreme. Understanding how extreme hot temperature-heat wave events (HWEs)-are likely to alter individual heat exposure and sensitivity is crucial for developing climate change mitigation and adaptation strategies. Despite the importance, little is known about the real-time impacts of HWEs on individual daily life in developing nations, like China. To fill this gap, we adopt over 1544 thousand Weibo (Chinese Twitter) social media data, coupled with meteorological conditions people face when posting, to assess the heat exposure and people's sensitivity to HWEs across 31 mega-cities in China. The results show the hotspot of Weibo heat is coincident with the extremely hot temperature, with a correlation of 0.7 (p < 0.05). The intensities, frequencies, and durations of HWEs in both geographical and social media space have high spatial heterogeneity. Its spatial variation can be explained by the type of climate zone and the unique geographical environment. The cities with extreme hot weather are more likely to adapt to the heatwave and less sensitivity to HWEs. The proposed framework, which integrates the real-time social media semantic analysis, statistical method, and spatial techniques, provides a new paradigm to assess the HWEs exposure and sensitivity analysis in China.
气温上升使天气变得更加极端。了解极端高温热浪事件（HWEs）如何改变个体的热暴露和敏感性对于制定气候变化缓解和适应策略至关重要。尽管这一点很重要，但对于像中国这样的发展中国家，HWEs 对个体日常生活的实时影响却知之甚少。为了填补这一空白，我们采用了超过 154.4 万条微博（中国版 Twitter）社交媒体数据，并结合人们发布信息时面临的气象条件，评估了中国 31 个特大城市的热暴露和人们对 HWEs 的敏感性。研究结果表明，微博热度的热点与极端高温相吻合，相关系数为 0.7（p<0.05）。HWEs 的强度、频率和持续时间在地理和社交媒体空间中都具有高度的空间异质性。其空间变化可以用气候带类型和独特的地理环境来解释。极端炎热天气的城市更有可能适应热浪，对 HWEs 的敏感性较低。该框架结合了实时社交媒体语义分析、统计方法和空间技术，为评估中国的 HWEs 暴露和敏感性分析提供了一种新的范例。
