GSTDTAP  > 资源环境科学
DOI10.1029/2020WR027536
Frequency dependence of in‐situ transmissivity estimation of well‐aquifer systems from periodic loadings
Xiaolong Sun; Zheming Shi; Yang Xiang
2020-09-16
发表期刊Water Resources Research
出版年2020
英文摘要

Estimating the hydraulic parameters of a target aquifer is key to properly evaluating the groundwater resources. Conventional methods are costly, and measurements are infrequent. There are currently four popular methods for estimating aquifer parameters using the response of the well water level to a periodic loading. However, the differences and accuracy of the results obtained by these methods are still poorly understood. This study compares the four response models. We analyze the mechanisms of the phase lag between well water level and periodic loadings during such loading, and discuss the applicability of each model. Taking the Jingle well in Shanxi Province as an example, hydraulic parameters were estimated using different models and compared. The results show that the aquifer transmissivity estimated using the periodic response methods depends on the loading frequency. This dependency is mainly determined by the difference between the actual aquifer transmissivity and the upper limit of transmissivity resolvable by the model. The tidal and barometric pressure response methods are suitable for low transmissivity aquifers while seismic wave suitable is responsible for high transmissivity aquifers.

领域资源环境
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文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/295331
专题资源环境科学
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GB/T 7714
Xiaolong Sun,Zheming Shi,Yang Xiang. Frequency dependence of in‐situ transmissivity estimation of well‐aquifer systems from periodic loadings[J]. Water Resources Research,2020.
APA Xiaolong Sun,Zheming Shi,&Yang Xiang.(2020).Frequency dependence of in‐situ transmissivity estimation of well‐aquifer systems from periodic loadings.Water Resources Research.
MLA Xiaolong Sun,et al."Frequency dependence of in‐situ transmissivity estimation of well‐aquifer systems from periodic loadings".Water Resources Research (2020).
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