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影响河床水力传导率的因素及其对河-含水层相互作用的影响:概念综述。

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

机构信息

Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Surathkal, Mangalore, 575025, India.

Ministry of Environment, Forest and Climate Change, New Delhi, India.

出版信息

Environ Sci Pollut Res Int. 2017 Nov;24(32):24765-24789. doi: 10.1007/s11356-017-0393-4. Epub 2017 Oct 7.

Abstract

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.

摘要

河床水力传导率(K)的估计和建模是一个新兴的研究领域,因为它与水质、水生栖息地和地下水补给有关。现有研究已经找到了在特定地点和实验室测试中采样和测量 K 的方法。面临的挑战是通过统计和地质统计方法审查进展、相关性、理解和建模的复杂性、文献差距以及对未来需求的建议。本文概述了影响河床水力传导率(K)的因素和过程及其在河流-含水层相互作用中的作用。在综合分析过程中,我们讨论了导致河床基质变异性的地质、水文、生物和人为因素的影响。文献实例记录了特定地点的发现,有助于描绘河床 K 和其他相关因素在渗流和地下水流动系统建模中的作用。然而,利用综合全面数据库的研究有限,限制了更广泛应用和理解的能力。利用原位和实验室方法估算水力传导率的例子表明,在考虑河流床材料和水文地质条件的各向异性和非均质性时,获取具有代表性样本和比较结果存在挑战。考虑到可能的泥沙来源、过程和复杂性,根据现场和实验室收集的数据进行现实的统计和空间推断具有挑战性。认识到给定粒径组的 K 包含几个到几个数量级,河床 K 和地下水相互作用的建模仍然是概念性和实验性的。高级地质统计技术提供了广泛的单变量或多变量插值程序,如克里金和变差函数分析,可以应用于这些复杂系统。来自各种研究的现有研究成果在开发采样选项方面发挥了重要作用,认识到河流动力学的重要性、过滤、转移和储存高质量地下水的潜力以及在极端条件下对水生栖息地和避难所的重要性。对自然和人为条件、基质材料、泥沙负荷、堵塞等特征的研究强调了巨大的复杂性,也许需要一个数据库来编译相关数据。人为干扰(河流内部砾石开采、污染物释放、底栖活动等)对河床水力传导率的影响是仍需关注的领域。可能需要采用水文地质生物多学科方法来描述局部和区域尺度上的河床 K 和通量的大小和变异性。

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