ARIA: interactive damage prediction system for urban flood using simulation and emulation federation platform

ARIA: interactive damage prediction system for urban flood using simulation and emulation federation platform
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DOI:
10.1145/3341162.3343823
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发表时间:
2019-09
期刊:
Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
影响因子:
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通讯作者:
Kei Hiroi;Tomoya Inoue;Kunio Akashi;Tsubasa Yumura;T. Miyachi;Hayate Hironaka;Hironobu Kanno;Y. Shinoda
Kei Hiroi;Tomoya Inoue;Kunio Akashi;Tsubasa Yumura;T. Miyachi;Hayate Hironaka;Hironobu Kanno;Y. Shinoda
中科院分区:
其他
文献类型:
--
作者:
Kei Hiroi;Tomoya Inoue;Kunio Akashi;Tsubasa Yumura;T. Miyachi;Hayate Hironaka;Hironobu Kanno;Y. Shinoda

文献摘要

相似文献

本演示展示了一个交互式城市洪水损失预测系统“ARIA”,它以一种集成的方式模拟城市洪水、灾民和网络故障。在减灾方面,重要的是确认受灾地区并发布疏散建议。ARIA预测洪水损失-受灾人数或被洪水淹没的道路的位置-并计算出适当的疏散建议时间,同时使用数据同化方法结合在洪水发生期间观察到的降雨量、河流水位和人流数据等实际测量值。本文提出了洪水损失预测系统,该系统利用联邦仿真平台Smithsonian与传统的专有模拟器协作进行洪水/疏散/网络破坏分析。ARIA的目标是基于洪水造成的道路状况和网络破坏的相互影响,准确模拟实际的灾害现象,以考虑洪水破坏对疏散行为的影响。
This demonstration shows an interactive urban flood damage prediction system "ARIA" that simulates urban flood, the sufferer, and network failure in an integrated manner. In terms of disaster mitigation, it is important to confirm an affected area and issue an evacuation advisory. ARIA predicts flood damages - the number of sufferers or the locations of flooded roads - and figures out the suitable timing of an evacuation advisory while incorporating actual measurement values like precipitation, river water level and person flow data observed during flood occurrence using data assimilation method. We propose flood damage prediction system, which cooperates conventional proprietary simulators for flood/evacuation/network damage analysis using simulation and emulation federation platform "Smithsonian". ARIA aims to accurately simulate actual disaster phenomena to consider how flood damages affect evacuation behavior based on the mutual impact of road condition and network damage caused by floods.