首页> 外文期刊>Environmental earth sciences >New empirical relationship between grain size distribution and hydraulic conductivity for ephemeral streambed sediments
【24h】

New empirical relationship between grain size distribution and hydraulic conductivity for ephemeral streambed sediments

机译:临时河床沉积物粒度分布与水力传导率之间的新经验关系

获取原文
获取原文并翻译 | 示例
           

摘要

Grain size distribution, porosity, and hydraulic conductivity were determined for 39 sediment samples collected from ephemeral streams (wadis) in western Saudi Arabia. The measured hydraulic conductivity values were then compared to values calculated using 20 different empirical equations commonly used to estimate hydraulic conductivity from grain size analyses. It was found that most of the hydraulic conductivity values estimated from the empirical equations correlated very poorly with the measured hydraulic conductivity values. Modifications of the empirical equations, including changes to special coefficients and statistical offsets, were made to produce modified equations that considerably improved the hydraulic conductivity estimates from grain size data for wadi sediments. The Chapuis, Hazen, Kozeny, Slichter, Terzaghi, and Barr equations produced the best correlations, but still had relatively high predictive errors. The Chapius equation was modified for wadi sediments by incorporating mud percentage and the standard deviation (in phi units) into a new equation that reduced the predicted hydraulic conductivity error to ±14.1 m/day. The equation is best applied to ephemeral stream samples that have hydraulic conductive values greater than 2 m/day.
机译:确定了从沙特阿拉伯西部临时河(wadis)收集的39个沉积物样品的粒度分布,孔隙率和水力传导率。然后将测得的水力传导率值与使用20种不同的经验方程式计算得出的值进行比较,这些经验方程式通常用于根据粒度分析估算水力传导率。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。对经验公式进行了修改,包括对特殊系数的更改和统计偏移,以生成修改后的公式,从而大大改善了基于旱谷沉积物粒度数据的水力传导率估算值。 Chapuis,Hazen,Kozeny,Slichter,Terzaghi和Barr方程具有最佳的相关性,但预测误差仍然较高。通过将泥浆百分比和标准偏差(以phi为单位)合并到一个新的方程中,将Wapi沉积物的Chapius方程修改为一个新方程,该方程将预测的水力传导率误差降低到±14.1 m / day。该方程式最适用于水力传导率大于2 m / day的短暂流样品。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号