Improving Water Table Kinematic Conditions With Unsaturated Flow Insights

IF 4.6 1区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Jun-Hong Lin, Ying-Fan Lin
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引用次数: 0

Abstract

Analytical models interpreting aquifer pumping test data often rely on water table kinematic conditions that assume instantaneous gravity drainage, leading to underestimation of specific yield during the drainage process. This study derives a new water table condition based on a coupled saturated-unsaturated flow model that fully accounts for both unsaturated and saturated flow dynamics. The new condition incorporates the hydraulic properties of the unsaturated zone, providing a more accurate representation of physical processes while maintaining mathematical tractability. Applied to a groundwater flow model for a pumping problem, the drawdown solution is derived using integral transformations. The proposed model is validated using field data from a series of pumping tests at the Boise Hydrogeophysical Research Site in Idaho. The results demonstrate that the new water table condition provides more reliable estimates of specific yield, effectively addressing the underestimation issue associated with existing models. Moreover, the model requires no additional empirical parameters, making it a practical tool for characterizing unconfined aquifer properties.
用非饱和流动的见解改善地下水位的运动条件
解释含水层抽水试验数据的分析模型通常依赖于假定瞬时重力排水的地下水位运动学条件,导致低估了排水过程中的比产量。本文基于饱和-非饱和耦合流动模型推导了一个新的地下水位条件,该模型充分考虑了非饱和和饱和流动动力学。新的条件纳入了不饱和区的水力特性,在保持数学可追溯性的同时,提供了更准确的物理过程表示。应用于抽水问题的地下水流动模型,利用积分变换导出了降差解。利用爱达荷州Boise水文地球物理研究基地的一系列抽水试验的现场数据验证了所提出的模型。结果表明,新的地下水位条件提供了更可靠的比产量估算,有效地解决了与现有模型相关的低估问题。此外,该模型不需要额外的经验参数,使其成为表征无承压含水层性质的实用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water Resources Research
Water Resources Research 环境科学-湖沼学
CiteScore
8.80
自引率
13.00%
发文量
599
审稿时长
3.5 months
期刊介绍: Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.
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