Anomalous human activity fluctuations from digital trace data signal flood inundation status
Anomalous human activity fluctuations from digital trace data signal flood inundation status
复制标题
DOI：
10.1177/23998083211069990
复制
发表时间：
2022-01-27
影响因子：
3.5
通讯作者：
Maron, Mikel
中科院分区：
文献类型：
--
作者：
Farahmand, Hamed;Wang, Wanqiu;Maron, Mikel
配备全球定位系统技术的移动平台的出现可以实现实时数据收集，为挖掘适用于快速洪水淹没评估的数据提供了机会。收集到的数据可用于补充现有的快速洪水淹没评估方法（例如遥感），以增强态势感知。特别是，与人类活动相关的基于遥测的数字追踪数据具有用于洪水评估的固有优势。在本研究中，我们研究了 Mapbox 遥测数据的使用，该数据提供了具有高空间和时间分辨率的人类活动指数，用于快速洪水淹没评估。利用 2017 年德克萨斯州哈里斯县飓风哈维的数据，我们 (1) 研究人类活动的异常波动，并分析淹没区和非淹没区之间的活动水平差异；(2) 调查人类活动集中度的变化，探索人类活动的破坏程度作为洪水淹没的指标。结果表明，这两种分析都可以提供有关洪水淹没状况的有价值的快速见解。与非洪水地区相比，洪水地区的异常活动可能明显更高/更低。此外，还可以观察受影响流域洪水传播期间人类活动的集中程度。这项研究通过调查普遍存在的基于遥测的数字跟踪数据的应用来增强快速洪水淹没评估，从而有助于提高智能洪水抵御能力的知识水平。因此，使用此类数字跟踪数据可以为应急管理人员和公职人员提供宝贵的见解，为影响评估和响应行动提供信息。
The emergence of mobile platforms equipped with Global Positioning System technology enables real-time data collection affording opportunities for mining data applicable to rapid flood inundation assessment. The collected data can be employed to complement existing methods for rapid flood inundation assessment, such as remote sensing, to enhance situational awareness. In particular, telemetry-based digital trace data related to human activity have intrinsic advantages to be used for inundation assessment. In this study, we investigate the use of Mapbox telemetry data, which provides human activity indices with high spatial and temporal resolutions, for application in rapid flood inundation assessment. Using data from Hurricane Harvey in 2017 in Harris County, Texas, we (1) study anomalous fluctuations in human activities and analyze the differences in activity level between inundated and non-inundated areas and (2) investigate changes in the concentration of human activity, to explore the disruption of human activity as an indicator of flood inundation. Results show that both analyses can provide valuable rapid insights regarding flood inundation status. Anomalous activities can be significantly higher/lower in flooded areas compared with non-flooded areas. Also, the concentration of human activity during the flood propagation period across affected watersheds can be observed. This study contributes to the state of knowledge in smart flood resilience by investigating the application of ubiquitous telemetry-based digital trace data to enhance rapid flood inundation assessment. Accordingly, the use of such digital trace data could provide emergency managers and public officials with valuable insights to inform impact evaluation and response actions.