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题名

Statistical characteristics of aquitard hydraulic conductivity, specific storage and porosity

作者
通讯作者Zhuang, Chao
发表日期
2024-11
DOI
发表期刊
ISSN
0022-1694
卷号643
摘要
Aquitard hydraulic conductivity (K), specific storage (Ss) and porosity (ϕ) are critical to the modeling of flow and mass and heat transport in groundwater systems, yet comprehensive insights into their statistical characteristics remain limited. This study compiles 456 K values from 47 studies, 202 Ss values from 49 studies and 239 ϕ values from 18 studies, followed by rigorous statistical analysis of aquitard K, Ss and ϕ with dependence on the features of test method, lithology and burial depth. Additionally, the interrelationships among K, Ss and ϕ are analyzed. A predictive model for aquitard K and Ss is developed utilizing the random forest (RF) approach. The statistical findings unearth that laboratory experiments tend to yield lower K while higher Ss, particularly when burial depths are less than 50 m. Clay, silt clay, and glacial till exhibit comparable K values, in contrast to significantly lower K values observed in shale formations. Aquitard K, Ss, and ϕ exhibit depth-decaying characteristics. Between two adjacent depth intervals, 0 – 50 m, 50 – 150 m and >150 m, there is nearly an order of magnitude difference in either K or Ss. Aquitard K tends to increase with ϕ when ϕ is below 0.25 and decreases vice versa. This phenomenon is probably attributed to the significant amount of immobile-bound water adhering to clayey particles within the aquitard with a high ϕ value, which reduces the pore space available for water flow. Elastic Ss, which indicates recoverable aquitard groundwater depletion, is about one order of magnitude lower than inelastic Ss, which indicates permanent aquitard groundwater depletion, implying that the majority of groundwater depletion from aquitards under long-term groundwater exploitation is non-recoverable. The RF-based predictive model indicates that ϕ is a highly important feature for predicting K and outperforms lithology, test method and burial depth in predicting Ss. The statistical findings of this study present a valuable basis for aquitard hydraulic parameters.
© 2024 The Author(s)
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英语
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资助项目
This study is financially supported by the National Key Research and Development Program of China (Grant No. 2022YFC3702202), National Natural Science Foundation of China (Grant Nos. 42272279, 41902244) and High Level of Special Funds (Grant No. G03050K001). Walter A. Illman acknowledges the partial support from the Discovery grant funded by the Natural Sciences and Engineering Council of Canada (NSERC) which facilitated this collaboration.
出版者
EI入藏号
20243917099711
EI分类号
:301.2 ; Groundwater:444.2
来源库
EV Compendex
引用统计
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/841017
专题工学院_环境科学与工程学院
南方科技大学
作者单位
1.School of Earth Sciences and Engineering, Hohai University, No. 8 Fochengxi Road, Nanjing; 211100, China
2.College of Civil Engineering, Tongji University, Shanghai; 200092, China
3.School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen; 518055, China
4.Department of Geology and Geophysics, Texas A&M University, College Station; TX; 77843-3115, United States
5.Department of Earth and Environmental Sciences, University of Waterloo, 200 University Ave. W., Waterloo; ON; N2L 3G1, Canada
推荐引用方式
GB/T 7714
Zhuang, Chao,Yan, Long,Kuang, Xingxing,et al. Statistical characteristics of aquitard hydraulic conductivity, specific storage and porosity[J]. Journal of Hydrology,2024,643.
APA
Zhuang, Chao.,Yan, Long.,Kuang, Xingxing.,Zhan, Hongbin.,Illman, Walter A..,...&Wang, Jinguo.(2024).Statistical characteristics of aquitard hydraulic conductivity, specific storage and porosity.Journal of Hydrology,643.
MLA
Zhuang, Chao,et al."Statistical characteristics of aquitard hydraulic conductivity, specific storage and porosity".Journal of Hydrology 643(2024).
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