2013
DOI: 10.1007/s10040-013-0961-8
|View full text |Cite
|
Sign up to set email alerts
|

Dépendance à la profondeur et modèles exponentiels de perméabilité dans des cônes de déjection graveleux

Abstract: Abstract:To determine depth dependence of permeability in various geologic deposits, exponential models have often been proposed. However, spatial variability in hydraulic conductivity, K, rarely fits this trend in coarse alluvial aquifers, where complex stratigraphic sequences follow unique trends due to depositional and post-depositional processes. This paper analyzes K of alluvial-fan gravel deposits in several boreholes, and finds exponential decay in K with depth. Relatively undisturbed gravel cores obtai… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
12
1

Year Published

2014
2014
2023
2023

Publication Types

Select...
9

Relationship

3
6

Authors

Journals

citations
Cited by 18 publications
(13 citation statements)
references
References 43 publications
0
12
1
Order By: Relevance
“…In general, porosity and permeability of continental crusts decrease with depth, and over depths of kilometers, the decrease appears linear in competent rocks such as sandstone and exponential in less competent rocks such as shale and mudstone (e.g., Kuang & Jiao, ; Manning & Ingebritsen, ; Saar & Manga, ; Shmonov et al, ; Stober, ). At depths of meters to tens of meters that are more relevant to ESM time scales, it is widely observed and modeled that porosity and permeability decrease exponentially with depth (Beven & Kirkby, ; Cardenas & Jiang, ; Decharme et al, ; Fan et al, ; Heimsath et al, ; Jiang et al, , ; Milly et al, ; Sakata & Ikeda, ; Wang et al, ). An exponential function with monotonic decrease with depth does not represent the sharp transitions or local reversals in porosity and permeability that are frequently found in sedimentary rocks, but it preserves the overall trend while integrating fluid flow over depth, circumventing the difficult problem of parameterizing fine‐scaled vertical heterogeneity.…”
Section: Representing Hillslope Hydrology In Esmsmentioning
confidence: 99%
“…In general, porosity and permeability of continental crusts decrease with depth, and over depths of kilometers, the decrease appears linear in competent rocks such as sandstone and exponential in less competent rocks such as shale and mudstone (e.g., Kuang & Jiao, ; Manning & Ingebritsen, ; Saar & Manga, ; Shmonov et al, ; Stober, ). At depths of meters to tens of meters that are more relevant to ESM time scales, it is widely observed and modeled that porosity and permeability decrease exponentially with depth (Beven & Kirkby, ; Cardenas & Jiang, ; Decharme et al, ; Fan et al, ; Heimsath et al, ; Jiang et al, , ; Milly et al, ; Sakata & Ikeda, ; Wang et al, ). An exponential function with monotonic decrease with depth does not represent the sharp transitions or local reversals in porosity and permeability that are frequently found in sedimentary rocks, but it preserves the overall trend while integrating fluid flow over depth, circumventing the difficult problem of parameterizing fine‐scaled vertical heterogeneity.…”
Section: Representing Hillslope Hydrology In Esmsmentioning
confidence: 99%
“…Direct measurements of K by slug tests (solid squares at DW‐1) might show unobvious decrease of K with depth because of the large variation of K in the Holocene gravel aquifer. Sakata and Ikeda () estimated the effective hydraulic conductivity Ktrue‾ (open squares) from the core properties. A moving average analysis (solid line) revealed a vertical trend from the surface down to 30‐m depth, and was established as an exponential function of depth z (m): K=Ktrue‾00.5emexp()Az0.8em=102.30.5emexp()0.11z2emat0.5emz0.5em<0.5emz0 …”
Section: Methodsmentioning
confidence: 99%
“…Aquifers II, III, and IV are described in the text. The vertical profile of Y was taken from Sakata and Ikeda (); solid squares, open squares, and solid line denote Y values measured by slug tests, Y values estimated from undisturbed cores, and moving averages of estimated Y , respectively.…”
Section: Methodsmentioning
confidence: 99%
“…There are unconfined gravel sequences, which constitute a groundwater reservoir with a total pumping rate of over 80,000 m 3 /d. River seepage is the main source for recharging groundwater (Hu et al 2010;Sakata and Ikeda, 2012), and the filtration process from the river to the deeper levels is controlled by the depth-decaying permeability of gravel deposits on a scale of tens of meters (Sakata and Ikeda, 2013). However, Monte Carlo simulation revealed the importance of heterogeneity on a smaller scale (1 m) for interpreting heat transport between surface water and groundwater (Sakata 2015).…”
Section: Case Studymentioning
confidence: 99%