使用集群分析对四季期冰川河流水层异质性的定量表征
Felipe Gallardo Ceron1, Landis Jared West1, Ian T Burke2
1Institute of Applied Geosciences, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT UK.
概括
一个新的工作流程有效地使用粒子大小分布和集群分析来描述冰川河流沉积物中的水面. 这种方法可以准确地预测孔径和液压导电性,以改善水文地质模型.
科学领域:
- 水文地质学 水文地质学
- 沉积物学的沉积物学
- 地质统计学 在地质统计学
背景情况:
- 水地质学建模需要精确的水形表征和空间分布表示.
- 不同质的未结合的冰川河流沉积物对传统的表征方法构成挑战.
研究的目的:
- 开发和验证一个工作流程,以表征冰川河流沉积物中的水面.
- 使用粒子大小分布 (PSD) 和K-平均集群分析来定义水表.
- 评估透度预测的实证方程,并估计液压导电性 (K).
主要方法:
- 现场采样和灯光类别的分类.
- 在现场测量度 (沙子替代方法) 和PSD测定.
- K-意味着对PSD数据的集群分析对水表的定义.
- 透度预测的回归分析和K估计的Kozeny-Carman方程.
主要成果:
- 根据PSD定义了三个水表集群:精细主导 (最多孔,约44%),沙子主导 (中等,约40%),和石主导 (最低,约27%).
- 对数d50显示了与测量孔隙度的最高相关性 (R2=0.789).
- 估计的液压导电性 (K) 值在集群中从0.06到62m/d不等.
结论:
- 开发的工作流成功地描述了异构的冰川河流沉积物.
- 无监督的集群分析提供了与水文地质学相关的水表层分类.
- 测量的孔径比之前报告的高,估计的K值与液压测试一致.
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