'Hydraulic conductivity', symbolically represented as
, is a property of vascular plants, soil or rock, that describes the ease with which water can move through pore spaces or fractures. It depends on the
intrinsic permeability of the material and on the degree of saturation. Saturated hydraulic conductivity, ''K
sat'', describes water movement through saturated media.
Derivation through Darcy's law
Hydraulic conductivity is the proportionality constant in
Darcy's law, which relates the amount of water which will flow through a unit cross-sectional area of
aquifer under a unit gradient of
hydraulic head. It is analogous to the thermal conductivity of materials in heat conduction, or 1/resistivity in electrical circuits. The hydraulic conductivity (''K'' — the
English letter "kay") is specific to the flow of a certain fluid (typically water, sometimes oil or air); intrinsic permeability (''κ'' — the
Greek letter "kappa") is a parameter of a porous media which is independent of the fluid. This means that, for example, ''K'' will go up if the water in a porous medium is heated (reducing the viscosity of the water), but ''κ'' will remain constant. The two are related through the following equation
:
where
:
is the hydraulic conductivity [LT
-1 or m s
-1];
:
is the
intrinsic permeability of the material [L
2 or m
2];
:
is the
specific weight of water [ML
-2T
-2 or N m
-3], and;
:
is the
dynamic viscosity of water [ML
-1T
-1 or kg m
-1 s
-1].
Estimation of hydraulic conductivity
Direct estimation
Hydraulic conductivity can be measured by applying
Darcy's law on the material. Such experiments can be conducted by creating a hydraulic gradient between two points, and measuring the flow rate (Oosterbaan and Nijland
[ R.J.Oosterbaan and H.J.Nijland, 1994, Determination of the Saturated Hydraulic Conductivity. In: H.P.Ritzema (ed.) Drainage Principles and Applications, ILRI Publication 16, p.435-476. International Institute for Land Reclamation and Improvement, Wageningen, The Netherlands. ISBN 90 70754 3 39.]
Free download from the Articles page of waterlog.info.).
Empirical estimation
Shepherd
[1] derived an
empirical formula for approximating hydraulic conductivity from grain size analyses:
:
where
:
and
are empirically derived terms based on the soil type, and
:
is the
diameter of the 10
percentile grain size of the material
Note: Shepherd's Figure 3 clearly shows the use of
, not
, measured in mm. Therefore the equation should be
. His figure shows different lines for materials of different types, based on analysis of data from others with
up to 10 mm.
Pedotransfer function
A
pedotransfer function (PTF) is a specialized empirical estimation method, used primarily in the
soil sciences, however has increasing use in hydrogeology
[2]. There are many different PTF methods, however, they all attempt to determine soil properties, such as hydraulic conductivity, given several measured soil properties, such as soil
particle size, and
bulk density.
Transmissivity
The 'transmissivity',
, of an
aquifer is a measure of how much water can be transmitted horizontally, such as to a pumping well:
:
Transmissivity is directly proportional to the aquifer thickness. For a confined aquifer, this remains constant, as the saturated thickness remains constant. The aquifer thickness of an unconfined aquifer is from the base of the aquifer (or the top of the
aquitard) to the
water table. The water table can fluctuate, which changes the transmissivity of the unconfined aquifer. This may provide
positive feedback of a pumping well that is pumping more than can be provided by the aquifer, where the transmissivity drops as the well pumps, thus eventually reducing the aquifer to the height of the pumping well screen.
'Transmissivity' should not be confused with similar word
transmittance (used in
optics),
which means fraction of incident light that passes through a sample.
Relative properties
Because of their high porosity and permeability,
sand and
gravel aquifers have higher hydraulic conductivity than
clay or unfractured
granite aquifer. Sand or gravel aquifers would thus be easier to extract water from (e.g., using a pumping
well) because of their high transmissivity, compared to clay or unfractured bedrock aquifers.
Hydraulic conductivity has units with dimensions of length per time (e.g.,
m/s, ft/day and
gal/(day/ft²) ); transmissivity then has units with dimensions of length squared per time. The following table gives some typical ranges (illustrating the many orders of magnitude which are likely) for ''K'' values.
Hydraulic conductivity (''K'') is the most complex and important of the hydrogeologic aquifer properties; values found in nature:
★ range over many
orders of magnitude (the distribution is often considered to be
lognormal),
★ vary a large amount through space (sometimes considered to be
randomly spatially distributed, or
stochastic in nature),
★ are directional (in general ''K'' is a symmetric second-rank
tensor; e.g., vertical ''K'' values can be several orders of magnitude smaller than horizontal ''K'' values),
★ are scale dependent (testing a m³ of aquifer will generally produce different results than a similar test on only a cm³ sample of the same aquifer),
★ must be determined indirectly through field pumping tests, laboratory column flow tests or inverse computer simulation, (sometimes also from
grain size analyses), and
★ are very dependent (in a
non-linear way) on the water content, which makes solving the
unsaturated flow equation difficult. In fact, the variably saturated ''K'' for a single material varies over a wider range than the saturated ''K'' values for all types of materials (see chart below for an illustrative range of the latter).
Ranges of values for natural materials
'Table of saturated hydraulic conductivity (''K'') values found in nature'
Values are for typical fresh
groundwater conditions — using standard values of
viscosity and
specific gravity for water at 20°C and 1 atm.
See the similar table derived from the same source for
intrinsic permeability values.
[3]
| ''K'' (cm/s) | 10² | 101 | 100=1 | 10−1 | 10−2 | 10−3 | 10−4 | 10−5 | 10−6 | 10−7 | 10−8 | 10−9 | 10−10 |
| ''K'' (ft/day) | 105 | 10,000 | 1,000 | 100 | 10 | 1 | 0.1 | 0.01 | 0.001 | 0.0001 | 10−5 | 10−6 | 10−7 |
| Relative Permeability | Pervious | Semi-Pervious | Impervious |
| Aquifer | Good | Poor | None | |
| Unconsolidated Sand & Gravel | Well Sorted Gravel | Well Sorted Sand or Sand & Gravel | Very Fine Sand, Silt, Loess, Loam | |
| Unconsolidated Clay & Organic | | Peat | Layered Clay | Fat / Unweathered Clay |
| Consolidated Rocks | Highly Fractured Rocks | Oil Reservoir Rocks | Fresh Sandstone | Fresh Limestone, Dolomite | Fresh Granite |
Source: modified from Bear, 1972
See also
★
Aquifer test
★
Pedotransfer function–for estimating hydraulic conductivities given soil properties
References
1. Correlations of permeability and grain-size, Shephard, R.G., , , Ground Water, 1989
2. Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics, Wösten, J.H.M., Pachepsky, Y.A., and Rawls, W.J., , , , 2001
3. Dynamics of Fluids in Porous Media, Bear, J., , , Dover Publications, 1972,