Experimental Investigation of Coastal Flooding Hydrodynamics Using a Hybrid Defense System

Author:

Yeganeh-Bakhtiary Abbas12ORCID,Kolahian Mohammadreza2,Eyvazoghli Hossein2ORCID

Affiliation:

1. Department of Civil Engineering, University of Kurdistan Hewler (UKH), Erbil, Iraq

2. School of Civil Engineering, Iran University of Science & Technology (IUST), Tehran 13114-16846, Iran

Abstract

Recent studies indicated that coastal green belts could not provide proper protection from extreme coastal flooding. Recent studies recommend employing a compound defense system of natural and artificial structures for extreme hazards. In this study, we introduce a new compound defense system consisting of coastal mangrove trees combined with reef ball modular structures. A series of laboratory experiments were conducted to investigate drag force reduction through the hybrid defense system. The hybrid defense system was subjected to a surge-type flow generated by a quickly lifting gate in a laboratory water tank. Within the experimental framework, the hydrodynamics of coastal flooding were described by the characteristics of the surge bore and the absorbed drag force. The obtained results show that the hybrid system effectively enhanced the absorbed bore drag forces and significantly improved the flow-damping performance.

Publisher

MDPI AG

Subject

Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry

Reference51 articles.

1. Cumulative impacts of hurricanes on Florida mangrove ecosystems: Sediment deposition, storm surges and vegetation;Smith;Wetlands,2009

2. Future of our coasts: The potential for natural and hybrid infrastructure to enhance the resilience of our coastal communities, economies and ecosystems;Wowk;Environ. Sci. Policy,2015

3. Prediction of Infra-Gravity Swash Motions on Natural Beaches using Model Trees;Amirkabir J. Civ. Eng.,2018

4. Simulating tropical storms in the Gulf of Mexico using analytical models;Kalourazi;Oceanologia,2020

5. Machine learning as a downscaling approach for prediction of wind characteristics under future climate change scenarios;EyvazOghli;Complexity,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3