从使用地下水流量模型的各种方法对液压导电性估计的评估
Dongwei Sun1, Ning Luo1, Aaron Vandenhoff1
1Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON, N2L3G1, Canada.
Ground water
|August 22, 2023
概括
反向建模提供了最准确的地下水流量预测,性能优于传统和液压分析工具 (HPT) 方法. 数据融合与逆向建模对于可靠的地下水流动行为预测至关重要.
科学领域:
- 水文地质学 水文地质学
- 环境科学 环境科学
- 地质科学是地球科学.
背景情况:
- 精确地描述液压导电性 (K) 和特定储存 (Ss) 对于了解地下水流和污染物运输至关重要.
- 存在各种方法,包括常规测试,液压分析工具 (HPT) 调查和先进的反向建模,但它们对高分辨率流量预测的比较实用性尚不清楚.
研究的目的:
- 评估和比较不同水文地质特征技术的有效性,以预测在异质现场的地下水流量.
- 评估常规方法 (GSA,直径测试,斜测试),HPT调查和反向建模方法 (基于地质的区分,液压断层扫描).
主要方法:
- 对K估计与现场地质学的定性分析.
- 使用稳定状态和短暂地下水流量模型进行定量评估,以模拟抽水试验.
- 在不同的条件下进行提款的预测准确度的比较.
主要成果:
- 反向建模方法表现出卓越的性能,在稳定状态和过渡条件下产生最准确的 drawdown 预测.
- 传统方法和HPT调查导致了有偏见的地下水流量预测.
- 定性地质比较表明,反向建模更好地与地点异质性保持一致.
结论:
- 反向建模与数据融合相结合,对于实现地下水流动行为的准确预测至关重要.
- 虽然提供数据,但传统和HPT方法本身就不足以提供可靠的高分辨率流量建模.
- 这项研究强调了先进的逆向建模技术的必要性,用于水文地质遗址的表征.
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