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Episodic and Continuous Recharge Estimation from High‐Resolution Well Records
Ground Water ( IF 2.0 ) Pub Date : 2019-11-09 , DOI: 10.1111/gwat.12950
Timothy T. Eaton

Water table fluctuation (WTF) methods are a primary and well‐established way to determine groundwater recharge based on the direct response of the water table to precipitation input. An emerging complexity of recharge is whether it occurs as an episodic and transient process, or a continuous steady‐state process, however, most studies have not focused on these short‐term vs. long‐term timescales, in part because of a lack of data resolution. Here, high‐resolution (subhourly) precipitation and water‐level data are analyzed for wells in the suburbs of New York City using two contrasting WTF approaches, with a common mathematical basis, that are suited to episodic and continuous processes. The resulting hourly recharge results, like the individual water‐level records from comparable wells, are sensitive indicators of subtle differences in aquifer conditions such as thickness of the unsaturated zone, position in the flow system and localized preferential flow. While the episodic, transient approach excludes diffuse recharge by design, the continuous, steady‐state approach is influenced by short‐term precipitation events, and therefore integrates transient processes to some extent. However, the continuous, steady‐state approach is subject to its own limitations relating to position in the aquifer system, and may overestimate recharge if aquifer conditions are not well understood. More widespread use of higher resolution data as well as understanding aquifer conditions and refining aquifer parameters would improve WTF recharge estimation.

中文翻译:

高分辨率井记录的间歇和连续补给估算

地下水位波动(WTF)方法是根据地下水位对降水输入量的直接响应来确定地下水补给量的一种主要且行之有效的方法。补给的新出现的复杂性是它是发生的短暂过程还是连续的稳态过程,但是,大多数研究并未将重点放在这些短期和长期时标上,部分原因是缺乏数据分辨率。在这里,使用两种具有通用数学基础的对比WTF方法(适用于连续过程和连续过程),对纽约市郊区的油井进行了高分辨率(亚小时)降水和水位数据分析。每小时产生的补给结果,例如可比井的各个水位记录,是含水层条件细微差异的敏感指标,例如不饱和区的厚度,流动系统中的位置和局部优先流动。间歇性瞬态方法通过设计排除了扩散补给,而连续稳态方法受短期降水事件的影响,因此在某种程度上整合了瞬态过程。但是,连续的稳态方法受其自身在含水层系统中位置的限制,如果对含水层的状况不了解,可能会高估补给量。更广泛地使用更高分辨率的数据以及了解含水层条件和完善含水层参数将改善WTF补给估算。在流量系统中的位置和局部优先流量。间歇性瞬态方法通过设计排除了扩散补给,而连续稳态方法受短期降水事件的影响,因此在某种程度上整合了瞬态过程。但是,连续的稳态方法受其自身在含水层系统中位置的限制,如果对含水层的状况不了解,可能会高估补给量。更广泛地使用更高分辨率的数据以及了解含水层条件和完善含水层参数将改善WTF补给估算。在流量系统中的位置和局部优先流量。间歇性瞬态方法通过设计排除了扩散补给,而连续稳态方法受短期降水事件的影响,因此在某种程度上整合了瞬态过程。但是,连续的稳态方法受其自身在含水层系统中位置的限制,如果对含水层的状况不了解,可能会高估补给量。更广泛地使用更高分辨率的数据以及了解含水层条件和完善含水层参数将改善WTF补给估算。因此在某种程度上整合了瞬态过程。但是,连续的稳态方法受其自身在含水层系统中位置的限制,如果对含水层的状况不了解,可能会高估补给量。更广泛地使用更高分辨率的数据以及了解含水层条件和完善含水层参数将改善WTF补给估算。因此在某种程度上整合了瞬态过程。但是,连续的稳态方法受其自身在含水层系统中位置的限制,如果对含水层的状况不了解,可能会高估补给量。更广泛地使用更高分辨率的数据以及了解含水层条件和完善含水层参数将改善WTF补给估算。
更新日期:2019-11-09
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