Advances in Water Resources最新文献_第6页

Real-time monitoring of dissolved toluene biodegradation in column experiments using spectral induced polarization 光谱诱导极化柱实验中溶解甲苯生物降解的实时监测

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-11-05 DOI: 10.1016/j.advwatres.2025.105168

Yalin Song , Xiaoqing Shi , André Revil , Qilin Wang , Xinqiang Du , Jichun Wu

Toluene is a common groundwater contaminant originating from leaks of petroleum products and industrial effluents. Accurately assessing the in-situ biodegradation rate of such contaminants is crucial for evaluating the effectiveness of bioremediation strategies. However, traditional drilling and sampling methods are costly and incapable of in-situ biodegradation rate assessment. In recent years, Spectral induced polarization (SIP) has demonstrated to be an effective tool for real-time monitoring of microbial activity. However, to date, limited researches have investigated its mechanism to real-time monitoring of toluene biodegradation. To address this gap, nine soil column experiments were conducted to monitor the biodegradation of dissolved-phase toluene using the SIP method. Biodegradation was qualitatively confirmed through changes in dissolved oxygen (DO), nitrate (NO₃^-), and carbon isotope ratios (δ¹³C). The results indicate that the observed increase in quadrature conductivity primarily reflects bacterial growth during biodegradation rather than variations in dissolved toluene concentration. The maximum specific growth rate (

μ_{m}

) of the inoculated bacteria was estimated to be 0.035 d^-1 and the corresponding toluene biodegradation rate constant was 0.018 d^-1. These findings demonstrate that SIP offers strong potentials as a quantitative, non-invasive, technique for tracking microbial degradation processes in porous media, providing theoretical and methodological support for future field-scale bioremediation applications.

甲苯是一种常见的地下水污染物，主要来源于石油产品泄漏和工业废水。准确评估这些污染物的原位生物降解率对于评估生物修复策略的有效性至关重要。然而，传统的钻探和采样方法成本高，无法进行现场生物降解率评估。近年来，光谱诱导极化（SIP）已被证明是实时监测微生物活动的有效工具。然而，迄今为止，对其实时监测甲苯生物降解的机制研究有限。为了解决这一问题，我们进行了9个土壤柱试验，利用SIP法监测溶解相甲苯的生物降解。通过溶解氧（DO）、硝酸盐（NO3-）和碳同位素比值（δ13C）的变化定性地证实了生物降解。结果表明，所观察到的正交电导率的增加主要反映了细菌在生物降解过程中的生长，而不是溶解甲苯浓度的变化。接种菌的最大比生长速率（μm）为0.035 d-1，相应的甲苯降解速率常数为0.018 d-1。这些研究结果表明，SIP作为一种定量的、无创的、跟踪多孔介质中微生物降解过程的技术，具有很强的潜力，为未来现场规模的生物修复应用提供了理论和方法支持。

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引用次数: 0

Unravelling the role of pocket geometry in the entrainment of coarse sediment particles: Insights from IMU-based analysis 解开口袋几何在粗沉积物颗粒夹带中的作用：来自基于imu的分析的见解

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-11-04 DOI: 10.1016/j.advwatres.2025.105166

Xin Lu , Bruce W. Melville , Asaad Y. Shamseldin , Lu Wang , Yifan Yang , Yushu Xie

The entrainment of coarse sediment particles in gravel-bed rivers governs bed stability, channel evolution, and sediment transport. Understanding how local bed geometry influences the onset of motion for such particles remains a persistent challenge, owing to the complexity of near-bed turbulence and three-dimensional particle dynamics. This study investigates the role of pocket geometry in particle entrainment using a Smart Sediment Particle (SSP) instrumented with an inertial measurement unit (IMU). Controlled flume experiments were conducted over a fixed spherical bed to capture triaxial accelerations and angular velocities during entrainment and motion. Results show that, under fully submerged conditions, variations in flow depth exert little influence on entrainment thresholds, whereas pocket geometry governs both the onset and subsequent rotational behaviour. The saddle configuration requires lower critical velocities but produces stronger rotational impulses, while the grain-top configuration demands higher velocities yet leads to more sustained tumbling. The IMU-based approach reveals the coupling between hydrodynamic forcing and rotational dynamics, providing new insights for physically based sediment-transport modelling in coarse-bed rivers.

粗沙颗粒在砾石河床的夹带控制着河床的稳定、河道的演化和泥沙的输运。由于近床层湍流和三维粒子动力学的复杂性，了解局部床层几何形状如何影响这些粒子的运动开始仍然是一个持续的挑战。本研究使用带有惯性测量单元（IMU）的智能沉积物粒子（SSP）研究了口袋几何形状在粒子夹带中的作用。在固定的球形床上进行了控制水槽实验，以捕获夹带和运动期间的三轴加速度和角速度。结果表明，在完全淹没的条件下，水流深度的变化对夹带阈值的影响很小，而口袋几何形状对开始和随后的旋转行为都有影响。鞍形结构需要较低的临界速度，但会产生更强的旋转脉冲，而粒顶结构需要较高的速度，但会导致更持续的翻滚。基于imu的方法揭示了水动力强迫和旋转动力学之间的耦合，为粗河床河流基于物理的泥沙输运建模提供了新的见解。

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引用次数: 0

A theoretical coupled model for describing porous medium surface clogging process 描述多孔介质表面堵塞过程的理论耦合模型

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-11-03 DOI: 10.1016/j.advwatres.2025.105164

Hexuan Zhang , Mingjian Hu , Yaozu Zhang , Ru Qu , Siyang Wang

Surface clogging in porous media challenges engineering applications and scientific research due to its complex mechanisms and diverse models. This study introduces a novel framework integrating intermediate blocking and cake filtration to characterize hydraulic conductivity evolution. Systematic constant-flow experiments demonstrate the model's superior performance (R² > 0.95) over existing models in simulating various recharge solutions. The key findings are as follows: 1) The model-predicted transition time of the clogging mechanism occurs earlier with increasing d₅₀/D₅₀ ratio and recharge solution concentration; 2) Terminal clogging resistance varies significantly depending on the clogging agent: suspended solids exhibit comparable resistances from intermediate blocking and cake filtration, whereas in colloidal systems, cake filtration dominates (>50 % contribution), a dominance that is further amplified at elevated concentrations; 3) The accelerated pressure buildup in porous media is primarily attributable to the dominance of cake filtration. Clogging reaches its terminal state either when the hydraulic conductivity decays to 10 % of its initial value or upon completion of the mechanism transition. The developed model provides critical insights for predicting and mitigating clogging-induced performance degradation in geoenvironmental systems.

多孔介质表面堵塞机理复杂，模型多样，给工程应用和科学研究带来了挑战。本研究引入了一种结合中间阻塞和滤饼过滤的新框架来表征水导率的演变。系统恒流实验表明，该模型在模拟各种补给方案时的性能优于现有模型（R²> 0.95）。主要发现如下：1)随着d50/ d50比和补给液浓度的增加，模型预测的堵塞机制过渡时间提前；2)终端堵塞阻力因堵塞剂的不同而有显著差异：悬浮固体在中间堵塞和饼状过滤中表现出相当的阻力，而在胶体系统中，饼状过滤占主导地位（贡献50%），当浓度升高时，这种优势会进一步扩大；3)多孔介质中压力的加速积累主要是由于滤饼过滤的主导作用。当水力传导率下降到初始值的10%或完成机制转变时，堵塞达到其终止状态。开发的模型为预测和减轻地球环境系统中堵塞引起的性能下降提供了重要的见解。

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引用次数: 0

Characterization of temporal nonstationary random soil moisture perturbation fields 时间非平稳随机土壤水分扰动场的表征

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-11-01 DOI: 10.1016/j.advwatres.2025.105163

Ching-Min Chang , Chuen-Fa Ni , Chi-Ping Lin , I-Hsian Lee , Wei-Cheng Lo

It is expected that climate change will lead to an increase in the extreme rainfall time series with nonstationary characteristics worldwide. This means that the assumption of stationarity in temporal rainfall fluctuations, used in the traditional stochastic analysis of temporal variation of rainfall events, may underestimate the temporal rainfall variability. Quantifying the fluctuations in soil moisture in response to variations in rainfall events is crucial for understanding the effects of climate change on regional water availability. Therefore, the purpose of this article is to generalize the previous results presented in the literature on quantifying temporal variability of soil moisture, which only apply to temporal stationarity in the random rainfall perturbation field. In this article, a general solution for the theoretical soil moisture semivariogram is derived to quantify the temporal variability of the nonstationary soil moisture perturbation field driven by the temporal nonstationary rainfall perturbation field. The use of the Fourier-Stieltjes spectral representation and the representation theorem enables the development of the theoretical soil moisture semivariogram expressed in the Fourier frequency domain. In addition, an approximate solution of the soil moisture semivariogram is given for the case that the temporal fluctuations in the rainfall field can be characterized by long-range power-law correlations. The influence of the coefficients in the rainfall power-law semivariogram and in the diffusion-injection model on the temporal variability of the nonstationary soil moisture perturbation field is analyzed.

预计气候变化将导致世界范围内具有非平稳特征的极端降雨时间序列增加。这意味着，在降雨事件时间变化的传统随机分析中使用的时间降雨波动的平稳性假设可能低估了时间降雨变率。量化土壤湿度随降雨事件变化的波动对于了解气候变化对区域可用水量的影响至关重要。因此，本文的目的是对以往文献中关于土壤湿度时间变异性的量化结果进行概括，这些结果仅适用于随机降雨摄动场的时间平稳性。本文导出了理论土壤湿度半变异函数的一般解，以量化在时间非平稳降雨扰动场驱动下的非平稳土壤湿度扰动场的时间变率。利用Fourier- stieltjes谱表示法和表示法定理，可以得到在Fourier频域中表示的理论土壤湿度半变异函数。此外，对于降雨场的时间波动可以用长期幂律相关来表征的情况，给出了土壤湿度半变异函数的近似解。分析了降雨幂律半变异函数和扩散注入模型中各系数对非平稳土壤水分扰动场时间变率的影响。

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引用次数: 0

Experimental and numerical model studies on flood inundation and drainage processes in a generalized urban street 城市广义街道洪水淹没排水过程的实验与数值模型研究

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-31 DOI: 10.1016/j.advwatres.2025.105159

Jiheng Feng , Junqiang Xia , Boliang Dong , Xiaojie Wang , Roger A. Falconer

Accurate modelling of urban flood processes remains challenging due to the dual interaction between surface runoff and underground drainage, as well as the complexity in the layout of urban configurations. In this study, a series of experiments were conducted using a laboratory urban street model covering urban roads, buildings, street inlets, and an underground drainage network, in order to examine the hydrodynamic effects of the existence of buildings on flood inundation and drainage processes. A coupled 1D/2D hydrodynamic model was employed to replicate the flood inundation and drainage processes in the laboratory experiments, incorporating two different discharge capacity formulas of street inlet to evaluate their accuracy and applicability. The effect of building density on the flood inundation characteristics was also investigated through numerical tests. The following conclusions are drawn from this study: (i) the existence of buildings significantly altered the distribution of surface water depth, with the largest increase in water depth observed in the upstream and midstream domains under a high inflow, and the most notable water depth reduction occurring in the downstream domain under a low inflow; (ii) the existence of buildings could also increase the drainage discharge of street inlets by concentrating runoff and increasing the water depth around street inlets; (iii) among two inlet discharge capacity formulas used in this study, the unified formula presenting a simpler structure was capable of replicating the drainage processes in a flood event, especially at the steady stage; and (iv) under a fixed building number, different building densities reflected the spatial coverage of the building array, which critically influenced the flood inundation characteristics. Denser building layout led to lower water depths, while sparser layout caused deeper and more widespread inundation area.

由于地表径流和地下排水的双重相互作用，以及城市布局的复杂性，城市洪水过程的精确建模仍然具有挑战性。本研究采用实验室城市街道模型，包括城市道路、建筑物、街道入口和地下排水网络，进行了一系列实验，以研究建筑物的存在对洪水淹没和排水过程的水动力影响。采用一维/二维耦合水动力模型模拟室内洪涝过程，结合两种不同的街道进水口流量公式，对其准确性和适用性进行评价。通过数值试验研究了建筑密度对洪水淹没特性的影响。研究结果表明：(1)建筑物的存在显著改变了地表水深的分布，在高入流条件下，上游和中游区域的水深增加最大，而在低入流条件下，下游区域的水深减少最为显著；（ii）建筑物的存在亦会积聚径流及增加街道入口周围的水深，从而增加街道入口的排水量；(3)在两种进水口流量计算公式中，统一公式结构简单，能较好地反映洪涝事件的排水过程，尤其是稳定阶段的排水过程；(4)在一定的建筑数量下，不同的建筑密度反映了建筑阵列的空间覆盖，这对洪水淹没特征有重要影响。较密集的建筑布局导致水深较低，而较稀疏的建筑布局导致淹没面积更深、范围更广。

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引用次数: 0

Measurement as functional minimization: An image-based method for river surface velocity and discharge estimation 作为功能最小化的测量：一种基于图像的河面流速和流量估计方法

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-30 DOI: 10.1016/j.advwatres.2025.105160

Kailin Huang , Lionel Pénard , Hua Chen , Chong-Yu Xu

Hydrological monitoring establishes the foundation for scientific studies of water resources. The introduction of image-based hydrometry methods offers a non-intrusive and highly efficient approach for collecting discharge data from rivers. However, challenges persist for image-based hydrometry methods, such as partial observation, light reflection, unknown surface-to-depth coefficients, and unphysical velocity estimates requiring post-processing. In this study we propose a new image-based functional optimization method to address these issues. This Lagrangian multipliers formulation transforms river surface velocity and discharge estimation into the minimization of a distance in the functional space. The algorithm effectively handles partial, large scale, and high reflection observations, and the velocity field obtained through this method adheres to the physical governing equations. Three experiments were conducted across rivers of different scales, lighting, and weather conditions in France and China to demonstrate the applicability and robustness of the proposed algorithm. Through optimization of an objective functional, the results reveal that the proposed method can directly estimate river surface velocity and discharge from an image sequence using numerical model without the need for post-processing outliers or missing values. The study demonstrates that the proposed method has the potential to be widely deployed in different hydrological monitoring scenarios to improve hydrologic monitoring efficiency.

水文监测是水资源科学研究的基础。基于图像的水文测量方法的引入为收集河流流量数据提供了一种非侵入性和高效的方法。然而，基于图像的水文测量方法仍然存在挑战，例如部分观测、光反射、未知的地表对深度系数以及需要后处理的非物理速度估计。在这项研究中，我们提出了一种新的基于图像的功能优化方法来解决这些问题。这个拉格朗日乘数公式将河面流速和流量估计转化为函数空间中距离的最小化。该算法能有效处理局部、大尺度、高反射观测，得到的速度场符合物理控制方程。在法国和中国进行了三个不同尺度、光照和天气条件的河流实验，以证明该算法的适用性和鲁棒性。通过对目标函数的优化，结果表明，该方法可以直接利用数值模型从图像序列中估计出河面流速和流量，而不需要对异常值或缺失值进行后期处理。研究表明，该方法具有广泛应用于不同水文监测场景的潜力，可提高水文监测效率。

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引用次数: 0

Regionalizing hydrologic information for runoff predictions beyond continental boundaries using machine learning 利用机器学习将水文信息区域化，用于大陆边界以外的径流预测

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-28 DOI: 10.1016/j.advwatres.2025.105162

Mohamed M. Fathi , Ayman G. Awadallah

Accurately predicting runoff responses in ungauged catchments remains a central challenge in hydrology, particularly for regions lacking sufficient observational data. The regionalization approach is a powerful strategy to address this challenge, enabling the extrapolation of knowledge derived from gauged catchments to ungauged locations. However, the development of robust regionalization models is often constrained by limited datasets, in terms of the number of catchments and/or the availability of catchment attributes. Despite recent advancements, most existing studies evaluate model performance using subsets of the same dataset for both training and testing, limiting the assessment of model transferability. To address this gap, this study introduces a regionalization framework using the large-scale CAMELS-US dataset to train a set of regression models for predicting the calibrated parameters of the GR2M, a monthly water balance model. The framework is then evaluated on the CAMELS-GB (Great Britain dataset), representing a distinct climatic and geographic context beyond continental boundaries. A critical aspect of this study is its focus on uncovering the physical meaning of the GR2M parameters by linking them to measurable catchment attributes. Results show that while linear regression models perform well within the training domain, their predictive skill declines significantly when applied to the GB dataset. In contrast, machine learning models, particularly Support Vector Regression, demonstrate strong generalization capabilities, achieving high accuracy in predicting runoff responses across GB catchments. These findings underscore the importance of nonlinear approaches in developing globally transferable regionalization frameworks and underscore their potential to support reliable hydrologic predictions in data-scarce regions.

准确预测未测量集水区的径流响应仍然是水文学的核心挑战，特别是对于缺乏足够观测数据的地区。区域化方法是应对这一挑战的有力战略，能够将从计量流域获得的知识外推到未计量地区。然而，在集水区数量和/或集水区属性的可用性方面，强大的区域化模型的开发往往受到有限数据集的限制。尽管最近取得了一些进展，但大多数现有研究都是使用同一数据集的子集来评估模型的性能，从而限制了对模型可转移性的评估。为了解决这一差距，本研究引入了一个区域化框架，利用CAMELS-US大规模数据集来训练一组回归模型，用于预测GR2M（每月水平衡模型）的校准参数。然后在CAMELS-GB（大不列颠数据集）上对框架进行评估，该数据集代表了超越大陆边界的独特气候和地理背景。本研究的一个关键方面是其重点是通过将GR2M参数与可测量的流域属性联系起来，揭示GR2M参数的物理意义。结果表明，虽然线性回归模型在训练域中表现良好，但当应用于GB数据集时，其预测技能显着下降。相比之下，机器学习模型，特别是支持向量回归，展示了强大的泛化能力，在预测GB流域的径流响应方面实现了高精度。这些发现强调了非线性方法在发展全球可转移的区域化框架方面的重要性，并强调了它们在数据稀缺地区支持可靠水文预测的潜力。

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引用次数: 0

A stochastic framework for mapping probable locations of discrete subsurface conductive pathways facilitating mass migration 一个用于绘制离散地下传导路径可能位置的随机框架，便于大规模迁移

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-25 DOI: 10.1016/j.advwatres.2025.105161

Ahmad H. Askar , Jeremy T. White , Brioch Hemmings

Discrete hydro(geo)logic features such as fractures and faults in subsurface formations critically influence the migration of dissolved-phase constituents, often serving as preferential pathways that complicate resource management planning and efforts. Robust characterization and representation of these features is crucial for designing effective management strategies and ensuring successful decision making. To address these challenges, we developed a novel stochastic modeling framework that couples groundwater flow and dissolved phase transport with a non-stationary categorical parameterization within an ensemble data assimilation scheme (PESTPP-iES), enabling improved characterization of such system controlling features. Using a hypothetical scenario involving an interbedded sandstone and fractured shale sequence, the framework was evaluated across various fracture configurations that represent differing levels of system property complexity and uncertainty. By creatively coupling distinct simulation models, the framework was able to capture highly localized, fine-scale fractures, while maintaining an efficient coarser scale representation of the primary aquifer units. Data assimilation involved conditioning the initial prior ensemble with geological information, followed by history matching with state (i.e., head and concentration) measurements from the aquifers. Results revealed up to 80 % reduction in spatial uncertainty of probable fracture locations, demonstrating the importance of assimilating all available information to aid in delineating probable damage zones. The framework is designed to be implemented within an iterative modeling workflow, whereby additional site data can be easily assimilated to progressively refine and constrain the probable locations of fractures through successive analyses.

离散的水文（地质）逻辑特征，如地下地层中的裂缝和断层，严重影响着溶解相成分的运移，往往是使资源管理规划和工作复杂化的优先途径。这些特征的稳健表征和表示对于设计有效的管理策略和确保成功的决策制定至关重要。为了应对这些挑战，我们开发了一种新的随机建模框架，该框架将地下水流动和溶解相输运与集成数据同化方案（PESTPP-iES）中的非平稳分类参数化相结合，从而改进了系统控制特征的表征。采用假设的砂岩层间和裂缝性页岩层序场景，对不同裂缝配置的框架进行了评估，这些裂缝配置代表了不同级别的系统属性复杂性和不确定性。通过创造性地耦合不同的模拟模型，该框架能够捕获高度局部化、精细尺度的裂缝，同时保持对主要含水层单元的有效的粗尺度表示。数据同化包括用地质信息调节初始先验集合，然后与含水层的状态（即水头和浓度）测量进行历史匹配。结果显示，可能裂缝位置的空间不确定性降低了80%，这表明了吸收所有可用信息以帮助划定可能的损伤区域的重要性。该框架被设计为在迭代建模工作流程中实施，通过连续分析，可以轻松地吸收额外的现场数据，逐步完善和限制裂缝的可能位置。

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引用次数: 0

Numerical investigation and stochastic modeling of particle bridging under various flow, pore, and particle properties 不同流动、孔隙和颗粒性质下颗粒桥接的数值研究和随机模型

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-24 DOI: 10.1016/j.advwatres.2025.105158

Laurez Fogouang Maya , Laurent André , Cyprien Soulaine

A complex interplay of fluid, particle, and pore properties influences the stochastic nature of particle bridging in confined channels. This study investigates the role of constriction angle, particle Reynolds number, particle concentration, particle-to-constriction size ratio, and constriction smoothness in clogging behavior within semidilute suspensions. A coupled CFD-DEM approach was used to simulate particle transport through a constricted channel, and a discrete stochastic model was developed to describe the statistical nature of clogging events. The model characterizes clogging through the average number of particles, or escapees, that pass through a constriction before a stable arch forms. Results show that the number of escapees decreases with increasing constriction angle and particle concentration, while remaining largely unaffected by injection flow rate within the Stokes regime. The number of particles forming stable arches increases in discrete steps, closely matching integer values of the particle-to-constriction size ratio. Sharper constrictions were observed to promote more frequent and stable clogging compared to smoother geometries. The stochastic model accurately captures these trends, demonstrating its predictive capability across various conditions.

流体、颗粒和孔隙性质的复杂相互作用影响了密闭通道中颗粒桥接的随机性。本研究探讨了缩窄角、颗粒雷诺数、颗粒浓度、颗粒-缩窄尺寸比和缩窄平滑度对半稀悬浮液堵塞行为的影响。耦合CFD-DEM方法用于模拟颗粒通过狭窄通道的传输，并开发了一个离散随机模型来描述堵塞事件的统计性质。该模型通过粒子或逃逸物的平均数量来表征堵塞，这些粒子或逃逸物在形成稳定的拱形之前通过收缩。结果表明：在Stokes范围内，随着收缩角的增大和颗粒浓度的增大，逸出颗粒的数量减少，而在很大程度上不受注射流量的影响；形成稳定拱的颗粒数量以离散的步骤增加，与颗粒与收缩尺寸比的整数值密切匹配。与光滑的几何形状相比，观察到更尖锐的收缩会导致更频繁和稳定的堵塞。随机模型准确地捕捉了这些趋势，证明了它在各种条件下的预测能力。

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引用次数: 0

A generalized analytical model for tidal wave propagation in multilayered, horizontally heterogeneous leaky aquifer systems 多层水平非均质渗漏含水层中潮汐波传播的广义解析模型

IF 4.2 2区环境科学与生态学 Q1 WATER RESOURCES

Advances in Water Resources

Pub Date : 2025-10-23 DOI: 10.1016/j.advwatres.2025.105156

Chao Zhuang , Desheng Bao , Long Yan , Hongbin Zhan , Yun Yang , Qiaona Guo , Walter A. Illman , Zhifang Zhou , Jinguo Wang

Existing analytical models for tidal wave propagation in coastal leaky aquifers are limited to simplified homogeneous or layered systems, failing to address complex heterogeneity such as aquitard preferential conduits. This study develops a generalized analytical model accommodating an arbitrary number of vertically stratified aquifer and aquitard layers and horizontally segmented zones with distinct hydraulic properties. The model’s generality is enhanced by incorporating four key features: non-negligible aquitard storativity, finite lateral extent, zone-specific tidal forcing at the top boundary, and zone-specific tidal loading effects on both aquifer and aquitard layers. The solution is derived by employing matrix eigenvalue analysis to obtain the zone-specific general solution, followed by a recursive formulation to enforce hydraulic head and flux continuity across aquifer zone interfaces. The newly derived analytical solution subsumes multiple existing analytical solutions as special cases. Theoretical investigations reveal that aquitard preferential conduits can reverse the typical landward amplitude decay and phase shift increase in the less permeable adjacent aquifer. This reversed tidal wave propagation pattern is pronounced under strong aquifer permeability contrasts, high conduit-to-aquitard permeability ratios, and large conduit widths, and it exhibits remarkable period dependence. For conduit identification through multi-frequency tidal analysis, greater weight should be given to higher-frequency components.

现有的沿海渗漏含水层潮汐波传播分析模型仅限于简化的均质或层状系统，未能解决复杂的非均质性，如输水优先管道。本研究建立了一个广义的分析模型，适用于任意数量的具有不同水力特性的垂直分层含水层和含水层以及水平分段带。该模型的通用性通过纳入四个关键特征得到增强：不可忽略的含水层蓄能性、有限的横向范围、顶边界特定区域的潮汐强迫以及含水层和含水层的特定区域潮汐负荷效应。通过矩阵特征值分析，得到了针对不同含水层的通解，并通过递推公式实现了水头和通量在不同含水层界面上的连续性。新导出的解析解包含了多个已有的解析解作为特例。理论研究表明，在渗透率较低的相邻含水层中，输水优先管道可以扭转典型的向陆振幅衰减和相移增加。这种反向潮汐波传播模式在含水层渗透率对比强、输水管道渗透率比高、输水管道宽度大的条件下表现明显，并表现出显著的周期依赖性。通过多频潮汐分析进行管道识别时，应给予高频分量更大的权重。

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引用次数: 0