Simulating liquefaction-induced resuspension flux in a sediment transport model

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-07-06 DOI:10.1016/j.watres.2024.122057
Zichen Zhu , Xing Du , Bingchen Liang , Linfeng Wang , Yupeng Song , Ping Li , Yaoshen Fan , Shuhua Bian , Yongzhi Wang , Yongqiang Zhang , Bing Li
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Abstract

Wave-induced liquefaction is a geological hazard under the action of cyclic wave load on seabed. Liquefaction influences the suspended sediment concentration (SSC), which is essential for sediment dynamics and marine water quality. Till now, the identification of liquefaction state and the effect of liquefaction on SSC have not been sufficiently accounted for in the sediment model. In this study, we introduced a method for simulating the liquefaction-induced resuspension flux into an ocean model. We then simulated a storm north of the Yellow River Delta, China, and validated the results using observational data, including significant wave heights, water levels, excess pore water pressures, and SSCs. The liquefaction areas were mainly distributed in coastal zones with water depths less than 12 m, and the simulated maximum potential soil liquefaction depth was 1.39 m. The liquefaction-induced SSC was separated from the total SSC of both liquefaction- and shear-induced SSCs by the model, yielding a maximum liquefaction-induced SSC of 1.07 kg·m−3. The simulated maximum proportion of liquefaction-induced SSC was 26.2% in regions with water depths of 6–12 m, with a maximum significant wave height of 3.4 m along the 12 m depth contour. The erosion zone at water depths of 8–12 m was reproduced by the model. Within 52.5 h of the storm, the maximum erosion thickness along the 10 m depth contour was enhanced by 33.9%. The model is applicable in the prediction of liquefaction, and provides a new method to simulate the SSC and seabed erosion influenced by liquefaction. Model results show that liquefaction has significant effects on SSC and seabed erosion in the coastal area with depth of 6–12 m. The validity of this method is confined to certain conditions, including a fully saturated seabed exhibiting homogeneity and isotropic properties, small liquefaction depth, residual liquefaction dominating the development of pore pressures, no influence by structures, and the sediment composed of silt and mud that experiences frequent wave-induced liquefaction.

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在沉积物迁移模型中模拟液化诱发的再悬浮通量
波浪引起的液化是在周期性波浪载荷作用下对海床造成的一种地质危害。液化会影响悬浮沉积物浓度(SSC),而悬浮沉积物浓度对沉积物动力学和海洋水质至关重要。迄今为止,液化状态的识别和液化对 SSC 的影响尚未在沉积模型中得到充分考虑。在这项研究中,我们在海洋模型中引入了一种模拟液化引起的再悬浮通量的方法。然后,我们模拟了中国黄河三角洲以北的一次风暴,并利用观测数据(包括显著波高、水位、过剩孔隙水压力和 SSCs)对结果进行了验证。液化区主要分布在水深小于 12 米的沿海地带,模拟的最大潜在土壤液化深度为 1.39 米。模型将液化引起的 SSC 从液化引起的 SSC 和剪切引起的 SSC 总 SSC 中分离出来,得出液化引起的最大 SSC 为 1.07 kg-m。在水深 6-12 米的区域,模拟的液化诱发 SSC 的最大比例为 26.2%,沿 12 米等深线的最大显著波高为 3.4 米。模型再现了水深 8-12 米处的侵蚀区。在风暴发生的 52.5 h 内,沿 10 m 水深等值线的最大侵蚀厚度增加了 33.9%。该模型适用于液化预测,为模拟受液化影响的 SSC 和海床侵蚀提供了一种新方法。模型结果表明,在水深 6-12 米的沿海地区,液化对 SSC 和海床侵蚀有显著影响。该方法的有效性仅限于特定条件,包括表现出均质性和各向同性的完全饱和海床、液化深度较小、残余液化主导孔隙压力的发展、不受结构物的影响,以及由淤泥和淤泥组成的沉积物经常经历波浪引起的液化。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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