Predicting river discharge in mountainous river basins during heavy rain events using seismic noise data

利用地震噪声数据预测暴雨期间山区河流流域的河流流量

• 批准号: 22K03742
• 负责人: P.C. Shakti
• 金额: $ 2.66万
• 依托单位: National Research Institute for Earth Science and Disaster Prevention
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22K03742/
• 关键词: River discharge; Seismic noise; Hi-net; hydrological station; Flood events; Hydrological simulation; River basins; Flood risk management; Discharge prediction

The aim of this study is to demonstrate the application of seismic data for estimating the discharge in a river basin particularly during a flooding event. This research is based on the interdisciplinary subjects i.e., Hydrology and Seismology.Based on Hi-net observations and hydrological data availability, we selected mountainous river basins for the hydrological simulations. We then examined the relationship between Hi-net data and water flow data, as well as simulated discharges during a flood event. We found that the flow of a nearby river and Hi-net in mountainous river basins reflected a similar patterns, especially during a high peak flow of the flood event. At this stage, the results indicated that seismic noise data in the frequency range of 1-2 Hz exhibited a similar trend to the simulated discharge values. Further evaluation of the relationship between seismic and river flow data has been examined. Some of these findings have been published and presented at national and international conferences and in feature article.

本研究的目的是演示应用地震数据估计流量在一个河流流域，特别是在洪水事件。本研究是基于跨学科的主题，即，水文和地震。根据Hi-net观测和水文数据的可用性，我们选择了山区河流流域进行水文模拟。然后，我们研究了Hi-net数据和水流数据之间的关系，以及洪水事件期间的模拟流量。我们发现，附近的河流和Hi-net在山区河流流域的流量反映了类似的模式，特别是在洪水事件的高峰流量。 在这一阶段，结果表明，1-2 Hz频率范围内的地震噪声数据表现出与模拟放电值相似的趋势。 对地震数据和河流流量数据之间的关系进行了进一步评价。其中一些研究结果已在国家和国际会议上发表和介绍，并在专题文章中发表。

项目成果

An approach for predicting river discharge during heavy rain events using seismic noise data in ungauged mountainous river basins

利用未测量山区河流流域地震噪声数据预测暴雨期间河流流量的方法

• 发表时间: 2022
• 作者: P. C. Shakti;Sawazaki Kaoru
• 通讯作者: Sawazaki Kaoru

Flood inundation mapping of river basins during extreme rain events

极端降雨事件期间河流流域洪水淹没图

• 发表时间: 2023
• 作者: P. C. Shakti PC;Hirano Kohin ;Iizuka Satoshi
• 通讯作者: Iizuka Satoshi

NIED INTEGRATED REPORT 2021

2021 年 NIED 综合报告

Predicting and managing flood risks from extreme rain events in Japan

预测和管理日本极端降雨事件的洪水风险

• DOI: 10.32907/ro-135-4237348290
• 发表时间: 2023
• 期刊: Research Outreach
• 作者: P. C. Shakti;Hirano Kohin;Iwanami Koyuru;P. C. Shakti
• 通讯作者: P. C. Shakti

Reproduction of water-level during a flood event using the streamflow noise recorded by Hi-net

使用 Hi-net 记录的水流噪声再现洪水事件期间的水位

• 发表时间: 2022
• 作者: Sawazaki Kaoru;P. C. Shakti
• 通讯作者: P. C. Shakti