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Specific storage

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(Redirected fromSpecific yield)

In the field ofhydrogeology,storage properties are physical properties that characterize the capacity of anaquifer to releasegroundwater. These properties arestorativity (S),specific storage (Ss) andspecific yield (Sy). According toGroundwater, by Freeze and Cherry (1979), specific storage,Ss{\displaystyle S_{s}} [m−1], of a saturated aquifer is defined as the volume of water that a unit volume of the aquifer releases from storage under a unit decline in hydraulic head.[1]

They are often determined using some combination of field tests (e.g.,aquifer tests) and laboratory tests on aquifer material samples. Recently, these properties have been also determined usingremote sensing data derived fromInterferometric synthetic-aperture radar.[2][3]

Storativity

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Definition

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Storativity or thestorage coefficient is thevolume of water released from storage per unit decline inhydraulic head in the aquifer, per unitarea of the aquifer. Storativity is a dimensionless quantity, and is always greater than 0.

S=dVwdh1A=Ssb+Sy{\displaystyle S={\frac {dV_{w}}{dh}}{\frac {1}{A}}=S_{s}b+S_{y}\,}

Confined

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For a confined aquifer or aquitard, storativity is the vertically integrated specific storage value. Specific storage is the volume of water released from one unit volume of the aquifer under one unit decline in head. This is related to both the compressibility of the aquifer and the compressibility of the water itself. Assuming the aquifer or aquitard ishomogeneous:

S=Ssb{\displaystyle S=S_{s}b\,}

Unconfined

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For an unconfined aquifer, storativity is approximately equal to the specific yield (Sy{\displaystyle S_{y}}) since the release from specific storage (Ss{\displaystyle S_{s}}) is typically orders of magnitude less (Ssb Sy{\displaystyle S_{s}b\ll \!\ S_{y}}).

S=Sy{\displaystyle S=S_{y}\,}

Thespecific storage is the amount of water that a portion of anaquifer releases from storage, per unit mass or volume of the aquifer, per unit change in hydraulic head, while remaining fully saturated.

Mass specific storage is the mass of water that anaquifer releases from storage, per mass of aquifer, per unit decline in hydraulic head:

(Ss)m=1madmwdh{\displaystyle (S_{s})_{m}={\frac {1}{m_{a}}}{\frac {dm_{w}}{dh}}}

where

(Ss)m{\displaystyle (S_{s})_{m}} is the mass specific storage ([L−1]);
ma{\displaystyle m_{a}} is the mass of that portion of the aquifer from which the water is released ([M]);
dmw{\displaystyle dm_{w}} is the mass of water released from storage ([M]); and
dh{\displaystyle dh} is the decline inhydraulic head ([L]).

Volumetric specific storage (orvolume-specific storage) is the volume of water that anaquifer releases from storage, per volume of the aquifer, per unit decline in hydraulic head (Freeze and Cherry, 1979):

Ss=1VadVwdh=1VadVwdpdpdh=1VadVwdpγw{\displaystyle S_{s}={\frac {1}{V_{a}}}{\frac {dV_{w}}{dh}}={\frac {1}{V_{a}}}{\frac {dV_{w}}{dp}}{\frac {dp}{dh}}={\frac {1}{V_{a}}}{\frac {dV_{w}}{dp}}\gamma _{w}}

where

Ss{\displaystyle S_{s}} is the volumetric specific storage ([L−1]);
Va{\displaystyle V_{a}} is the bulk volume of that portion of the aquifer from which the water is released ([L3]);
dVw{\displaystyle dV_{w}} is the volume of water released from storage ([L3]);
dp{\displaystyle dp} is the decline inpressure(N•m−2 or [ML−1T−2]) ;
dh{\displaystyle dh} is the decline inhydraulic head ([L]) and
γw{\displaystyle \gamma _{w}} is thespecific weight of water (N•m−3 or [ML−2T−2]).

Inhydrogeology,volumetric specific storage is much more commonly encountered thanmass specific storage. Consequently, the term specific storage generally refers tovolumetric specific storage.

In terms of measurable physical properties, specific storage can be expressed as

Ss=γw(βp+nβw){\displaystyle S_{s}=\gamma _{w}(\beta _{p}+n\cdot \beta _{w})}

where

γw{\displaystyle \gamma _{w}} is thespecific weight of water (N•m−3 or [ML−2T−2])
n{\displaystyle n} is theporosity of the material (dimensionless ratio between 0 and 1)
βp{\displaystyle \beta _{p}} is thecompressibility of the bulk aquifer material (m2N−1 or [LM−1T2]), and
βw{\displaystyle \beta _{w}} is the compressibility of water (m2N−1 or [LM−1T2])

The compressibility terms relate a given change in stress to a change in volume (a strain). These two terms can be defined as:

βp=dVtdσe1Vt{\displaystyle \beta _{p}=-{\frac {dV_{t}}{d\sigma _{e}}}{\frac {1}{V_{t}}}}
βw=dVwdp1Vw{\displaystyle \beta _{w}=-{\frac {dV_{w}}{dp}}{\frac {1}{V_{w}}}}

where

σe{\displaystyle \sigma _{e}} is theeffective stress (N/m2 or [MLT−2/L2])

These equations relate a change in total or water volume (Vt{\displaystyle V_{t}} orVw{\displaystyle V_{w}}) per change in applied stress (effective stress —σe{\displaystyle \sigma _{e}} or pore pressure —p{\displaystyle p}) per unit volume. The compressibilities (and therefore also Ss) can be estimated from laboratory consolidation tests (in an apparatus called a consolidometer), using the consolidation theory ofsoil mechanics (developed byKarl Terzaghi).

Determination of the storage coefficient of aquifer systems

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Aquifer-test analysis

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Aquifer-test analyses provide estimates ofaquifer-system storage coefficients by examining the drawdown and recovery responses of water levels in wells to applied stresses, typically induced by pumping from nearby wells.[4]

Stress-strain analysis

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Elastic and inelastic skeletal storage coefficients can be estimated through a graphical method developed by Riley.[5] This method involves plotting the applied stress (hydraulic head) on the y-axis against vertical strain or displacement (compaction) on the x-axis. The inverse slopes of the dominant linear trends in these compaction-head trajectories indicate the skeletal storage coefficients. The displacements used to build the stress-strain curve can be determined byextensometers,[5][6]InSAR[7] orlevelling.[8]

Laboratory consolidation tests

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Laboratory consolidation tests yield measurements of the coefficient of consolidation within the inelastic range and provide estimates of verticalhydraulic conductivity.[9] The inelastic skeletal specific storage of the sample can be determined by calculating the ratio of vertical hydraulic conductivity to the coefficient of consolidation.

Model simulations and calibration

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Simulations ofland subsidence incorporate data on aquifer-system storage andhydraulic conductivity. Calibrating these models can lead to optimized estimates of storage coefficients and verticalhydraulic conductivity.[8][10]

Specific yield

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Values of specific yield[11]
MaterialSpecific Yield (%)
minavgmax
Unconsolidated deposits
Clay025
Sandy clay (mud)3712
Silt3819
Fine sand102128
Medium sand152632
Coarse sand202735
Gravelly sand202535
Fine gravel212535
Medium gravel132326
Coarse gravel122226
Consolidated deposits
Fine-grained sandstone 21 
Medium-grained sandstone 27 
Limestone 14 
Schist 26 
Siltstone 12 
Tuff 21 
Other deposits
Dune sand 38 
Loess 18 
Peat 44 
Till, predominantly silt 6 
Till, predominantly sand 16 
Till, predominantly gravel 16 

Specific yield, also known as the drainable porosity, is a ratio and is the volumetric fraction of the bulkaquifer volume that a given aquifer will yield when all the water is allowed to drain out of it under the forces of gravity:

Sy=VwdVT{\displaystyle S_{y}={\frac {V_{wd}}{V_{T}}}}

where

Vwd{\displaystyle V_{wd}} is the volume of water drained, and
VT{\displaystyle V_{T}} is the total rock or material volume

It is primarily used for unconfined aquifers since the elastic storage component,Ss{\displaystyle S_{s}}, is relatively small and usually has an insignificant contribution. Specific yield can be close to effective porosity, but several subtleties make this value more complicated than it seems. Some water always remains in the formation, even after drainage; it clings to the grains of sand and clay. Also, the value of a specific yield may not be fully realized for a very long time due to complications caused by unsaturated flow. Problems related to unsaturated flow are simulated using the numerical solution ofRichards Equation, which requires estimation of the specific yield, or the numerical solution of theSoil Moisture Velocity Equation, which does not require estimation of the specific yield.

See also

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References

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  • Freeze, R.A. and J.A. Cherry. 1979.Groundwater. Prentice-Hall, Inc. Englewood Cliffs, NJ. 604 p.
  • Morris, D.A. and A.I. Johnson. 1967.Summary of hydrologic and physical properties of rock and soil materials as analyzed by the Hydrologic Laboratory of the U.S. Geological Survey 1948-1960. U.S. Geological Survey Water Supply Paper 1839-D. 42 p.
  • De Wiest, R. J. (1966). On the storage coefficient and the equations of groundwater flow. Journal of Geophysical Research, 71(4), 1117–1122.
Specific
  1. ^"Groundwater"(PDF).www.un-igrac.org.
  2. ^Béjar-Pizarro, Marta; Ezquerro, Pablo; Herrera, Gerardo; Tomás, Roberto; Guardiola-Albert, Carolina; Ruiz Hernández, José M.; Fernández Merodo, José A.; Marchamalo, Miguel; Martínez, Rubén (2017-04-01). "Mapping groundwater level and aquifer storage variations from InSAR measurements in the Madrid aquifer, Central Spain".Journal of Hydrology.547 (Supplement C):678–689.Bibcode:2017JHyd..547..678B.doi:10.1016/j.jhydrol.2017.02.011.hdl:10045/63773.
  3. ^Tomás, R.; Herrera, G.; Delgado, J.; Lopez-Sanchez, J. M.; Mallorquí, J. J.; Mulas, J. (2010-02-26). "A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain)".Engineering Geology.111 (1):19–30.Bibcode:2010EngGe.111...19T.doi:10.1016/j.enggeo.2009.11.004.
  4. ^Chow, Ven Ten (June 1952)."On the determination of transmissibility and storage coefficients from pumping test data".Eos, Transactions American Geophysical Union.33 (3):397–404.Bibcode:1952TrAGU..33..397C.doi:10.1029/tr033i003p00397.hdl:2142/94351.ISSN 0002-8606.
  5. ^abRiley, F. S. (1969). Analysis of borehole extensometer data from central California. International Association of Scientific Hydrology. Publication 89, 423–431.
  6. ^Cleveland, Theodore G.; Bravo, Rolando; Rogers, Jerry R. (September 1992)."Storage Coefficients and Vertical Hydraulic Conductivities in Aquitards Using Extensometer and Hydrograph Data".Groundwater.30 (5):701–708.Bibcode:1992GrWat..30..701C.doi:10.1111/j.1745-6584.1992.tb01556.x.ISSN 0017-467X.
  7. ^Tomás, R.; Herrera, G.; Delgado, J.; Lopez-Sanchez, J. M.; Mallorquí, J. J.; Mulas, J. (2010-02-26)."A ground subsidence study based on DInSAR data: Calibration of soil parameters and subsidence prediction in Murcia City (Spain)".Engineering Geology.111 (1):19–30.Bibcode:2010EngGe.111...19T.doi:10.1016/j.enggeo.2009.11.004.ISSN 0013-7952.
  8. ^abHoffmann, Jörn; Galloway, Devin L.; Zebker, Howard A. (February 2003)."Inverse modeling of interbed storage parameters using land subsidence observations, Antelope Valley, California".Water Resources Research.39 (2): 1031.Bibcode:2003WRR....39.1031H.doi:10.1029/2001WR001252.ISSN 0043-1397.
  9. ^Relationships between basic soils-engineering equations and basic ground-water flow equations (Report). US Geological Survey. 1980.doi:10.3133/wsp2064.
  10. ^Burbey, Thomas J. (2020-03-01)."Extensometer forensics: what can the data really tell us?".Hydrogeology Journal.28 (2):637–655.doi:10.1007/s10040-019-02060-6.hdl:10919/101770.ISSN 1435-0157.
  11. ^Johnson, A. I. (1967), "Specific yield: compilation of specific yields for various materials",USGS Report, Water Supply Paper 1662-D, Washington, D.C.: U.S. Government Printing Office: 74,Bibcode:1967usgs.rept...12J,doi:10.3133/wsp1662D
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