Employment of hydraulic model and social media data for flood hazard assessment in an urban city
Employment of hydraulic model and social media data for flood hazard assessment in an urban city
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DOI：
10.1016/j.ejrh.2022.101261
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发表时间：
2022-12
期刊：
影响因子：
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通讯作者：
M. Ouyang;S. Kotsuki;Yuka Ito;T. Tokunaga
中科院分区：
文献类型：
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作者：
M. Ouyang;S. Kotsuki;Yuka Ito;T. Tokunaga
研究区域日本东部沿海地区的一个城市。研究重点本研究利用水力学模型对日本莫巴拉市的洪水事件进行了调查。该模型在1970年7月1日被洪水校准，然后在2019年10月25日进行了洪水验证。模拟的洪水范围和水深的时间变化与社交媒体数据的观测结果吻合得很好，表明该水力学模型可以再现研究区的洪水。对这两次洪水的比较表明，由于土地利用/土地覆盖、地形和输入河流水位的变化，50年来洪水的面积增加了5.5倍。对该地区的新的水文见解降雨引发的河流洪水在城市地区造成了灾难性的影响。城市洪水模拟的主要挑战之一是缺乏现场观测来评估数值模式的性能。我们的研究强调了利用水力学模型和社会媒体数据来减少洪水模拟中不确定性的可能性，以及在城市洪水制图中考虑土地利用/土地覆盖、地形和输入河流水位的时间变化的必要性。
Study regionAn urban city in the coastal region of East Japan.Study focusThis study implemented the hydraulic model to investigate the flood events in Mobara city, Japan. The model was calibrated by the flood on July 1, 1970, and then validated against the flood on October 25, 2019. Simulated flood extent and temporal changes of water depths agreed well with the observations from social media data, suggesting that the hydraulic model could reproduce floods in the study area. Comparison of the two flood events indicated that the areal extent of flood increased by a factor of 5.5 over the 50-year period, caused by the changes of land use/land covers, topographies, and input river water levels.New hydrological insights for the regionIntensive rainfall-induced fluvial floods have caused catastrophic repercussions in urban areas. One of the major challenges in urban flood simulations is lack of field observations to evaluate the performance of numerical models. Our study highlights the possibility of employing hydraulic model and social media data to reduce the uncertainty in flood simulation, and the necessity of considering the temporal changes of land use/land covers, topographies, and input river water levels for flood mapping in urban cities.