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Determination of Hydraulic Conductivity from Grain-Size Distribution for Different Depositional Environments

机译：从不同沉积环境的粒度分布确定水力传导率

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摘要

Over 400 unlithified sediment samples were collected from four different depositional environments in global locations and the grain-size distribution, porosity, and hydraulic conductivity were measured using standard methods. The measured hydraulic conductivity values were then compared to values calculated using 20 different empirical equations (e.g., Hazen, Carman-Kozeny) commonly used to estimate hydraulic conductivity from grain-size distribution. It was found that most of the hydraulic conductivity values estimated from the empirical equations correlated very poorly to the measured hydraulic conductivity values with errors ranging to over 500°/o. To improve the empirical estimation methodology, the samples were grouped by depositional environment and subdivided into subgroups based on lithology and mud percentage. The empirical methods were then analyzed to assess which methods best estimated the measured values. Modifications of the empirical equations, including changes to special coefficients and addition of offsets, were made to produce modified equations that considerably improve the hydraulic conductivity estimates from grain size data for beach, dune, offshore marine, and river sediments. Estimated hydraulic conductivity errors were reduced to 6 to 7.1 m/day for the beach subgroups, 3.4 to 7.1 m/day for dune subgroups, and 2.2 to 11 m/day for offshore sediments subgroups. Improvements were made for river environments, but still produced high errors between 13 and 23 m/day.
机译：从全球各地的四个不同沉积环境中收集了400多个未石化沉积物样品，并使用标准方法测量了粒度分布，孔隙率和水力传导率。然后将测得的水力传导率值与使用通常用于根据粒度分布估算水力传导率的20个不同的经验方程式（例如，Hazen，Carman-Kozeny）计算出的值进行比较。已经发现，根据经验方程估算的大多数水力传导率值与测得的水力传导率值的相关性非常差，误差范围超过500°/ o。为了改进经验估算方法，将样品按沉积环境进行分组，并根据岩性和泥浆百分比将其细分为子组。然后分析经验方法，以评估哪种方法最能估计测量值。对经验公式进行了修改，包括更改特殊系数和增加了偏移量，以生成修改后的公式，从而大大改善了根据海滩，沙丘，近海海洋和河流沉积物的粒度数据得出的水力传导率估算值。海滩亚组的估计水力传导率误差降低到6至7.1 m /天，沙丘亚组的估计值降低至3.4至7.1 m /天，海上沉积物亚组的估计值降低至2.2至11 m / d。改善了河流环境，但仍产生了每天13至23 m的高误差。

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  • 来源
    《Ground water》 |2014年第3期|399-413|共15页
  • 作者

    Jorge Rosas; Oliver Lopez; Thomas M. Missimer; Kapo M. Coulibaly; Abdullah H.A. Dehwah; Kathryn Sesler; Luis R. Lujan; David Mantilla;

  • 作者单位

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    Schlumberger Water Services, 1567 Hayley Lane, Suite 202, Fort Myers, FL 33907;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

    King Abdullah University of Science and Technology, Desalination and Water Reuse Center, Thuwal 23955-6900, Saudi Arabia;

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