通过在暴雨期间整合人类流动性大数据,为城市洪水风险适应提供信息
Jiacong Cai1, Jianxun Yang1,2, Miaomiao Liu1,2
1State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
Environmental science & technology
|February 29, 2024
概括
大量的降雨大大改变了城市人类的流动性,影响了洪水风险评估. 了解这些变化是建立有弹性的城市和改善危险管理的关键.
科学领域:
- 环境科学 环境科学
- 城市规划 城市规划
- 数据科学数据科学数据科学
背景情况:
- 评估城市洪水风险需要了解大雨期间人类流动的影响.
- 可持续发展目标11强调创造有弹性和安全的城市.
研究的目的:
- 开发一个框架,以高空间分辨率评估降雨事件中人类流动性的变化.
- 分析影响这些流动性变化的因素及其对城市洪水风险的影响.
主要方法:
- 利用了来自中国江苏的约260万个手机信号数据 (2018年夏季).
- 开发了一种用于微量 (500米网格单元) 移动性评估的新框架.
- 采用零碎结构方程建模来分析影响因素.
主要成果:
- 确定了异常的人类活动聚类或减少的空间热点.
- 观察到城市层面的流动性变化范围从-3.6%到8.9%.
- 发现城市规模,交通系统和拥挤直接影响流动性;经济条件有间接影响.
结论:
- 在暴雨期间的人类流动的转变对城市洪水风险产生了双重影响,在某些地区减少洪水风险,而在其他地区增加洪水风险.
- 调查结果为本地化危险管理和城市适应战略提供了洞察力.
- 这项研究支持建立更安全,更有弹性的城市的目标.
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