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Factors influencing streambed hydraulic conductivity and their implications on stream-aquifer interaction: a conceptual review

机译:影响流液压导电性的因素及其对流含水层互动的影响:概念综述

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The estimation and modeling of streambed hydraulic conductivity (K) is an emerging interest due to its connection to water quality, aquatic habitat, and groundwater recharge. Existing research has found ways to sample and measure K at specific sites and with laboratory tests. The challenge undertaken was to review progress, relevance, complexity in understanding and modeling via statistical and geostatistical approaches, literature gaps, and suggestions toward future needs. This article provides an overview of factors and processes influencing streambed hydraulic conductivity (K) and its role in the stream-aquifer interaction. During our synthesis, we discuss the influence of geological, hydrological, biological, and anthropogenic factors that lead to variability of streambed substrates. Literature examples document findings to specific sites that help to portray the role of streambed K and other interrelated factors in the modeling of hyporheic and groundwater flow systems. However, studies utilizing an integrated, comprehensive database are limited, restricting the ability of broader application and understanding. Examples of in situ and laboratory methods of estimating hydraulic conductivity suggest challenges in acquiring representative samples and comparing results, considering the anisotropy and heterogeneity of fluvial bed materials and geohydrological conditions. Arriving at realistic statistical and spatial inference based on field and lab data collected is challenging, considering the possible sediment sources, processes, and complexity. Recognizing that the K for a given particle size group includes several to many orders of magnitude, modeling of streambed K and groundwater interaction remain conceptual and experimental. Advanced geostatistical techniques offer a wide range of univariate or multi-variate interpolation procedures such as kriging and variogram analysis that can be applied to these complex systems. Research available from various studies has been instrumental in developing sampling options, recognizing the significance of fluvial dynamics, the potential for filtration, transfer, and storage of high-quality groundwater, and importance to aquatic habitat and refuge during extreme conditions. Efforts in the characterization of natural and anthropogenic conditions, substrate materials, sediment loading, colmation, and other details highlight the great complexity and perhaps need for a database to compile relevant data. The effects on streambed hydraulic conductivity due to anthropogenic disturbances (in-stream gravel mining, contaminant release, benthic activity, etc.) are the areas that still need focus. An interdisciplinary (hydro-geo-biological) approach may be necessary to characterize the magnitude and variability of streambed K and fluxes at local, regional scales.
机译:由于其与水质,水生栖息地和地下水充电的连接,流液态电导率(K)的估计和建模是一种新兴兴趣。现有的研究已经发现了在特定地点和实验室测试的方法来样和测量k。所承担的挑战是通过统计和地质统计方法,文学差距以及对未来需求的建议审查进度,相关性,复杂性,以及建模。本文概述了影响流液压导电性(K)的因素和过程的概述及其在流含水层相互作用中的作用。在我们的合成期间,我们讨论了地质,水文,生物学和人为因素的影响,从而导致流底板的变异性。文献示例对特定地点的文献表明有助于描绘流式k和其他相互关联因素在高等草水和地下水流动系统的建模中进行描绘。但是,利用集成的综合数据库的研究有限,限制更广泛的应用和理解的能力。估计液压导电性的原位和实验室方法的实例表明,考虑到氟尿床材料的各向异性和异质性以及地理学条件的各向异性和异质性来提高液压导电性和比较结果的挑战。基于现场和收集的实验室数据到达现实统计和空间推断是具有挑战性的,考虑可能的沉积物来源,过程和复杂性。认识到给定粒度组的k包括几到多个数量级,流带K和地下水相互作用的建模仍然是概念的和实验性的。先进的地质统计技术提供广泛的单变量或多变量插值手术,例如可应用于这些复杂系统的Kriging和变形仪分析。各种研究的研究在开发采样选择方面,识别出氟动力学的重要性,高质量地下水的过滤,转移和储存,以及在极端条件下的水生栖息地和避难所的意义。努力在天然和人为条件,底物材料,沉积物加载,院校和其他细节表征中突出了巨大的复杂性,也许需要数据库来编译相关数据。由于人为紊乱(流碎石开采,污染物释放,底栖活性等)引起流动液压导电性的影响是仍需要焦点的区域。可能需要跨学科(水力 - 地理生物生物)方法来表征局部,区域尺度的流动K和助焊剂的幅度和变异性。

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