在池条件下,使用HYDRUS-1D模型对未受干扰的透VG模型参数的灵敏度分析
Xuejiu Wang1,2, Zhiquan Huang3, Hu Qin2
1Henan Vocational College of Water Conservancy and Environment, Zhengzhou, 450008, China.
Scientific reports
|July 12, 2025
概括
重塑的入不同于自然,影响坡度稳定性模拟. 这项研究使用未受干扰的柱来准确确定Van-Genuchten (VG) 模型参数,改进水透模拟和山体滑坡危险评估.
科学领域:
- 地质技术工程 地质技术工程
- 土壤物理 土壤物理
- 水文学的水文学
背景情况:
- 与天然相比,重新塑造的表现出不同的水透特性.
- 来自重塑的不准确的Van-Genuchten (VG) 模型参数损害了在斜坡稳定性分析中的湿度场模拟的准确性.
- 了解未被干扰的岩中的水透对于可靠的地质技术和水文建模至关重要.
研究的目的:
- 通过大规模的透测试,准确地确定 VG 模型的未受干扰的 loess 参数.
- 为了评估参数变化对水透模拟在土柱中的影响.
- 分析土壤水特性参数的灵敏度及其对透动态的影响.
主要方法:
- 在池条件下对未受干扰的柱进行了大规模 (60厘米直径,100厘米高) 的水透测试.
- 使用Hydrus-1D软件反转VG模型参数,并使用RMSE和NSE验证模拟精度.
- 采用单因素扰动方法来评估VG模型参数 (θs, ks, n, α, θr) 对透模拟的敏感性.
主要成果:
- 实现了高仿真精度,RMSE值在0.010和0.019之间,NSE值一般高于0.900.
- 土壤水特性参数的灵敏度顺序被确定为 θs > ks > n > α > θr.
- 参数干扰对浅层土壤透的影响较小,但随着深度的增加而显著增加,影响了模拟结果.
结论:
- 通过大规模的透测试,可以获得准确的VG模型参数,提高模拟可靠性.
- 灵敏度分析显示, θs 和 α 干扰与模拟结果负相关,而 ks, n 和 θr 与模拟结果正相关.
- 这些发现为评估和减轻河流地区因水而产生的山体滑坡危险提供了关键的技术支持.
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