Smart Flood Resilience: Harnessing Community-Scale Big Data for Predictive Flood Risk Monitoring, Rapid Impact Assessment, and Situational Awareness
Smart resilience is the beneficial result of the collision course of the fields of data science and urban resilience to flooding. The objective of this study is to propose and demonstrate a smart flood resilience framework that leverages heterogeneous community-scale big data and infrastructure sens...
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Main Authors | , , , , , , , , , |
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Format | Journal Article |
Language | English |
Published |
11.11.2021
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Subjects | |
Online Access | Get full text |
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Summary: | Smart resilience is the beneficial result of the collision course of the
fields of data science and urban resilience to flooding. The objective of this
study is to propose and demonstrate a smart flood resilience framework that
leverages heterogeneous community-scale big data and infrastructure sensor data
to enhance predictive risk monitoring and situational awareness. The smart
flood resilience framework focuses on four core capabilities that could be
augmented by the use of heterogeneous community-scale big data and analytics
techniques: (1) predictive flood risk mapping; (2) automated rapid impact
assessment; (3) predictive infrastructure failure prediction and monitoring;
and (4) smart situational awareness capabilities. We demonstrate the components
of these core capabilities of the smart flood resilience framework in the
context of the 2017 Hurricane Harvey in Harris County, Texas. First, we
demonstrate the use of flood sensors for the prediction of floodwater overflow
in channel networks and inundation of co-located road networks. Second, we
discuss the use of social media and machine learning techniques for assessing
the impacts of floods on communities and sensing emotion signals to examine
societal impacts. Third, we illustrate the use of high-resolution traffic data
in network-theoretic models for nowcasting of flood propagation on road
networks and the disrupted access to critical facilities, such as hospitals.
Fourth, we leverage location-based and credit card transaction data in spatial
analyses to proactively evaluate the recovery of communities and the impacts of
floods on businesses. These analyses show that the significance of core
capabilities of the smart flood resilience framework in helping emergency
managers, city planners, public officials, responders, and volunteers to better
cope with the impacts of catastrophic flooding events. |
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DOI: | 10.48550/arxiv.2111.06461 |