基于粒子包装理论预测压缩石英沙的土壤水特性曲线的方法
Qiang Liu1, Liang Guo1, Jiali Miao2
1College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, China.
本研究介绍了两种模型,用于预测不同土壤密度的土壤水特性曲线 (SWCC). 夸恩-范格努赫特 (K-VG) 和修改后的线性包装密度模型-范格努赫特 (M-VG) 模型准确估计SWCC,有助于环境模拟.
科学领域:
- 地质技术工程 地质技术工程
- 环境科学 环境科学
- 土壤物理 土壤物理
背景情况:
- 土壤水特性曲线 (SWCC) 对于理解土壤液压特性和预测污染物运输至关重要.
- 现有的SWCC模型显示空隙比率或散装密度的变化具有显著的变化.
- 测量每个可能的土壤密度的SWCC对于准确的环境建模是不切实际的.
研究的目的:
- 开发和验证与van Genuchten (VG) 模型集成的粒子包装模型,以预测在最大干密度下的SWCC.
- 建立一种方法来预测不同密度或空隙比率的土壤的SWCC.
- 评估扩展的Kwan-van Genuchten (K-VG) 和修改的线性包装密度模型-van Genuchten (M-VG) 模型的准确性.
主要方法:
- 在van Genuchten (VG) 模型中引入了Kwan模型和修改后的线性包装密度模型 (MLPDM).
- 开发了不同土壤密度的SWCC的预测方法.
- 对石英砂混合物进行了实验室测试,以验证K-VG和M-VG模型.
主要成果:
- 该K-VG模型实现了0.020.0的平均根平均平方误差 (RMSE).
- M-VG模型实现了0.017的较低平均RMSE.
- 两种扩展模型都显示出预测和测量SWCC值之间的良好一致.
结论:
- K-VG和M-VG模型为不同密度的土壤提供了SWCC的准确预测.
- 这些模型提供了一个实用的解决方案来模拟土壤的液压特性,而无需进行广泛的实证测试.
- 这些发现支持改善地下水和土壤污染物迁移的环境建模.
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