Developing an innovative hydroacoustics system for river discharge monitoring and investigating watershed characteristics during torrential floods

开发创新的水声系统，用于河流流量监测和调查洪水期间的流域特征

• 批准号: 21K14253
• 负责人: ALSAWAF MOHAMADBASEL
• 金额: $ 2.91万
• 依托单位: Kitami Institute of Technology (2022)Hiroshima University (2021)
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2021
• 资助国家: 日本
• 起止时间: 2021-04-01 至 2024-03-31
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-21K14253/
• 关键词: River flow; Acoustic tomography; Massive flood; River; Water resources; Hydrology; Sediment dynamics; Deep learning

The main achievements of the current research are:1. Demonstrating that the minimum number of acoustic stations to determine river flow direction in unidirectional streams can be reduced to three stations which can be more practical, easier, and cost effective.2. Offering new guidelines to continuously estimate flow direction using a triangular distribution of tomographic systems.3. Investigating long-term runoff records obtained from FAT in comparison with classical monitoring approaches in terms of the following aspects: Flood characteristics and the effects of dams on flood hydrograph. Backwater effects caused by river channel bends, sand bars, and floodplains. Duration and slope of the hydrograph and the impacts of rainfall and catchment on runoff hydrograph.

目前研究的主要成果有：1.数据分析；论证了在单向流中确定河流流向的最小声站数量可以减少到3个站，这样更实用、更容易、更经济。利用层析成像系统的三角分布，提供了连续估计流向的新准则。通过与经典监测方法的比较，从以下几个方面考察了FAT获得的长期径流记录：洪水特征和大坝对洪水的影响。河道弯曲、沙洲和洪泛平原造成的回水效应。水流线的长度和坡度以及降雨和集水区对径流水流线的影响。

项目成果

Applications of Travel Time Principle to Measure River Flow Dynamics Using Underwater Acoustic Tomography System

应用走时原理利用水下声学层析成像系统测量河流动力学

• 发表时间: 2022
• 作者: Sawaf Mohamad Basel Al;Kawanisi Kiyosi;Xiao Cong;Mohamad Basel AL Sawaf
• 通讯作者: Mohamad Basel AL Sawaf

Assessment of flood dynamics in a mountain stream using high‐resolution river flow records

• DOI: 10.1002/hyp.14841
• 发表时间: 2023-02
• 期刊: Hydrological Processes
• 影响因子: 3.2
• 作者: Cong Xiao;K. Kawanisi;Mohamad Basel Al Sawaf;Xiaopan Zhu

Characterizing annual flood patterns variation using information and complexity indices

使用信息和复杂性指数表征年度洪水模式变化

• DOI: 10.1016/j.scitotenv.2021.151382
• 发表时间: 2022
• 期刊: Science of The Total Environment
• 影响因子: 9.8
• 作者: Al Sawaf Mohamad Basel;Kawanisi Kiyosi;Xiao Cong
• 通讯作者: Xiao Cong

Extent of detection of hidden relationships among different hydrological variables during floods using data-driven models

• DOI: 10.1007/s10661-021-09499-9
• 发表时间: 2021-11-01
• 期刊: ENVIRONMENTAL MONITORING AND ASSESSMENT
• 影响因子: 3
• 作者: Al Sawaf, Mohamad Basel;Kawanisi, Kiyosi;Bahreinimotlagh, Masoud
• 通讯作者: Bahreinimotlagh, Masoud

Assessment and ranking flood events in a regulated river using information and complexity measures

使用信息和复杂性措施对受管制河流中的洪水事件进行评估和排名

• DOI: 10.1088/1742-6596/2090/1/012169
• 发表时间: 2021
• 期刊: Journal of Physics: Conference Series
• 作者: Sawaf Mohamad Basel Al;Kawanisi Kiyosi;Xiao Cong
• 通讯作者: Xiao Cong