Study of Aquatic Sedimentation Using Electromagnetic Modeling in Flood Hazard Mitigation Scheme Study of Aquatic Sedimentation Using Electromagnetic Modeling in Flood Hazard Mitigation Scheme

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY
Widodo Widodo, M. Rheza Zamani, Sindi Hajah Patimah, Elis Agustiana
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引用次数: 0

Abstract

The accumulation of sediment in aquatic environments can lead to an increase in flood risk due to raised floodplains and water levels. Electromagnetic modeling techniques, such as Time Domain Electromagnetic (TDEM) resistivity or lithological conductivity contrast, can be utilized to detect changes in the subsurface. In this study, we investigated the use of TDEM in flood hazard mitigation schemes by developing a 1-D forward modeling program for the central loop configuration in an aquatic environment using the Adaptive Born Forward Mapping (ABFM) method. The program was tested in various environmental conditions, i.e., freshwater, brackish water, and saltwater, to determine its response. The objective is to prevent natural disasters, particularly flooding caused by sedimentation. The TDEM models can generate images of sediment thickness, providing a sensitive response in saltwater environments and enabling the detection of changes in depth compared to other aquatic environments. Overall, this study demonstrated the potential of TDEM as a valuable tool in flood hazard mitigation schemes.
电磁模拟在洪水减灾方案中的应用研究
由于洪泛区和水位的升高,水生环境中沉积物的积累会导致洪水风险的增加。电磁建模技术,如时域电磁(TDEM)电阻率或岩性电导率对比,可用于探测地下的变化。在本研究中,我们使用自适应Born forward Mapping (ABFM)方法开发了水生环境中中央环路配置的1-D正演模拟程序,研究了TDEM在洪水减灾方案中的应用。该程序在各种环境条件下进行了测试,即淡水、微咸水和咸水,以确定其反应。其目的是防止自然灾害,特别是泥沙引起的洪水。TDEM模型可以生成沉积物厚度的图像,在盐水环境中提供敏感的响应,并能够检测与其他水生环境相比的深度变化。总的来说,这项研究证明了TDEM在洪水灾害缓解方案中作为一个有价值的工具的潜力。
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来源期刊
Journal of Engineering and Technological Sciences
Journal of Engineering and Technological Sciences ENGINEERING, MULTIDISCIPLINARY-
CiteScore
2.30
自引率
11.10%
发文量
77
审稿时长
24 weeks
期刊介绍: Journal of Engineering and Technological Sciences welcomes full research articles in the area of Engineering Sciences from the following subject areas: Aerospace Engineering, Biotechnology, Chemical Engineering, Civil Engineering, Electrical Engineering, Engineering Physics, Environmental Engineering, Industrial Engineering, Information Engineering, Mechanical Engineering, Material Science and Engineering, Manufacturing Processes, Microelectronics, Mining Engineering, Petroleum Engineering, and other application of physical, biological, chemical and mathematical sciences in engineering. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.
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