Gotowe bibliografie tematyczne / Hydraulic conductivity

Gotowa bibliografia na temat „Hydraulic conductivity”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 6 września 2023

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Artykuły w czasopismach na temat "Hydraulic conductivity"

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Kakade, Shubhangi, i Akanksha Jadhav. "Hydraulic Conductivity of Soil Using Guelph Permeameter". Journal of Advances and Scholarly Researches in Allied Education 15, nr 2 (1.04.2018): 487–90. http://dx.doi.org/10.29070/15/56874.

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Yayat Hidayat, Wahyu Purwakusuma, Enni Dwi Wahjunie, Dwi Putro Tejo Baskoro, Latief Mahir Rachman, Sri Malahayati Yusuf, Ratu Maulida Adawiyah, Imam Syaepudin, M. Mukmin R. Siregar i Dien Ayuni Isnaini. "Characteristics of Soil Hydraulic Conductivity in Natural Forest, Agricultural Land, and Green Open Space Area". Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 12, nr 2 (5.07.2022): 352–62. http://dx.doi.org/10.29244/jpsl.12.2.352-362.

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Soil hydraulic conductivity is one of the important soil characteristics that determines the amount and proportion of water that will be infiltrated into the soil column and flowing as surface runoff. It is strongly influenced by soil porosity and soil characteristics that affect the soil porosity such as soil texture and structure and soil organic matter content (internally factors) as well as land management and the intensity of plant canopy cover (external factors). This research is aimed to identify the character of soil hydraulics conductivity in different landuse that consist of forest, agricultural land (moor land, cacao plantations, intensive and conservation annual crops), and green open space areas. The results showed that: a) forest conversion into agricultural land led to the decline of soil quality such as decreased levels of soil organic matter, soil porosity and distribution of soil pores so that the conversion of forest land into agricultural land decreases the soil hydraulic conductivity of both for the initial value and saturated hydraulic conductivity; b) forets canopy cover density affects the soil quality and soil hydraulics conductivity, where high canopy cover has the higher value of soil hydraulics conductivity compared to medium and low canopy forest; c) Situgede tourism forest has the lowest soil hydraulics conductivity compared to other forest types; d) soil hydraulics conductivity in conservation annual crops is higher than intensive annual crops land and Situgede tourism forest and it’s not significantly different from the soil hydraulics conductivity in low canopy forest; and e) soil hydraulics conductivity in green open spaces area were strongly determined by the naturalness of landscape and human intervention level on its formation and management, where the UI city forest and Lembah Gurame city park which were function as ecotourism areas has the lower soil hydraulics conductivity compared to great forest park.
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Li, Shanjia, Peixi Su, Haina Zhang, Zijuan Zhou, Rui Shi i Wei Gou. "Hydraulic Conductivity Characteristics of Desert Plant Organs: Coping with Drought Tolerance Strategy". Water 10, nr 8 (5.08.2018): 1036. http://dx.doi.org/10.3390/w10081036.

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Plant hydraulic conductivity (K) refers to the rate of water flow (kg s−1) per unit pressure drop (MPa), which drives flow through the plant organ system. It is an important eco-physiology index for measuring plant water absorption and transport capacity. A field study was conducted in the arid region of the Heihe River Basin in northwestern China, plant hydraulic conductivity was measured by high-pressure flowmeter (HPFM) to investigate the characteristics of hydraulic conductivity of typical dominant desert plants (Reaumuria soongarica M., Nitraria sphaerocarpa M., and Sympegma regelii B.) and their relationship with functional traits of leaves, stems, and roots, and explaining their adaptation strategies to desert environment from the perspective of plant organs hydraulic conductivity. The results showed that the hydraulic conductivity of the leaves and stems of R. soongarica and N. sphaerocarpa (KLA, leaf hydraulic conductivity per unit leaf area; KLW, leaf hydraulic conductivity per unit leaf weight; KSLA, stem hydraulic conductivity per unit leaf area; KSLW, stem hydraulic conductivity per unit leaf weight) were significantly lower than those of S. regelii, while their fine root (KRL, root hydraulic conductivity per unit leaf length; KRSA, root hydraulic conductivity per unit root surface area) and whole root (KTRW, whole root hydraulic conductivity per unit root weight) of hydraulic conductivity were significantly higher than those of S. regelii. In addition, KLA and KLW, KSLA and KSLW, and KRL and KRSA in three desert plants all exhibited consistent trends. Correlation analysis illustrated that the hydraulic conductivity of leaves and stems had a significantly positive correlation, but they had no significant negative correlation with the specific leaf weight (SLW, specific leaf weight). The hydraulic conductivity of fine root weight (KRW, root hydraulic conductivity per unit root weight) and specific root surface area (SRSA, specific root surface area) showed significantly positive correlation (r = 0.727, P < 0.05). The results demonstrated that the R. soongarica and N. sphaerocarpa preserved their water content through the strong leaf absorption capacity of soil water and the low water dispersion rates of leaves to adapt to the harsher arid habitat, which is more drought tolerant than S. regelii.
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Lu, Haifeng, Nan Shan, You-Kuan Zhang i Xiuyu Liang. "Effect of Strain-Dependent Hydraulic Conductivity of Coal Rock on Groundwater Inrush in Mining". Geofluids 2020 (23.12.2020): 1–15. http://dx.doi.org/10.1155/2020/8887392.

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Hydraulic conductivity is an important parameter for predicting groundwater inrush in coal mining worksites. Hydraulic conductivity varies with deformation and failure of rocks induced by mining. Understanding the evolution pattern of hydraulic conductivity during mining is important for accurately predicting groundwater inrush. In this study, variations of hydraulic conductivity of rock samples during rock deformation and failure were measured using the triaxial servo rock mechanic test in a laboratory. The exponential formula of hydraulic conductivity-volume strain was proposed based on the experimental data. The finite-difference numerical model FLAC3D was modified by replacing constant hydraulic conductivity with the strain-dependent hydraulic conductivity. The coupled water flow and rock deformation and failure were simulated using the modified model. The results indicate that in the early time, the rocks undergo elastic compression with increasing rock strain, resulting in a decrease in hydraulic conductivity; then, the microcracks and fissures appear in the rock after it yields results in a sudden jump in hydraulic conductivity; in the later time, the hydraulic conductivity decreases gradually again owing to the microcracks and fissures that were compacted. The conductivity exponentially decreases with the volumetric strain during the periods of both elastic compression and postyielding. The simulated stress-strain curves using the modified model agree with the triaxial tests. The modified model was applied to the groundwater inrush of a coal mining worksite in China. The simulated water inflow agrees well with the observed data. The original model significantly underestimates the water inflow owing to it to neglect the variations of the hydraulic conductivity induced by mining.
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Suthaker, Nagula N., i J. Don Scott. "Measurement of hydraulic conductivity in oil sand tailings slurries". Canadian Geotechnical Journal 33, nr 4 (20.08.1996): 642–53. http://dx.doi.org/10.1139/t96-089-310.

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Fine tails, the resulting fine waste from oil sand processing, undergoes large-strain consolidation in tailings ponds. Its consolidation behaviour must be analyzed using a large-strain consolidation theory, which requires the determination of the relationship between the void ratio and hydraulic conductivity. Conventional measurement techniques are not suitable for fine tails, and a special slurry consolidometer, with a clamping device to prevent seepage-induced consolidation, was designed to determine the hydraulic conductivity of the fine tails and nonsegregating fine tails – sand slurries. The hydraulic conductivity of slurries is not constant but decreases with time to a steady-state value. Hydraulic conductivity is also influenced by the hydraulic gradient and bitumen content. It is shown that a low hydraulic gradient, less than 0.2, is necessary to counteract the effect of the bitumen and to represent tailings pond conditions. The hydraulic conductivity of fine tails – sand mixes is controlled by the fines void ratio, hence, fines content. The hydraulic conductivity of chemically amended nonsegregating tailings can be lower than that of fine tails. However, acid–lime or acid – fly ash amended nonsegregating tailings have similar hydraulic conductivity values in terms of fines void ratio. The hydraulic conductivity of nonsegregating tailings appears to be governed by fines content and by the nature of the fines aggregation caused by the chemical additive. Key words: tailings, slurries, hydraulic conductivity, slurry consolidometer, nonsegregating tailings, oil sands.
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Bird, TL, TM Willis i GJ Melville. "Subsoil hydraulic conductivity estimates for the Lower Macquarie Valley". Soil Research 34, nr 2 (1996): 213. http://dx.doi.org/10.1071/sr9960213.

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Field saturated hydraulic conductivity was measured in situ, at two depths in the B horizon, on irrigated soils in the Lower Macquarie Valley. Measurements were made with constant head well permeameters, using the single-head method, and water of moderate sodicity and high salinity. The hydraulic conductivity data were log-normally distributed for all soil groups and there were significant differences between some of these soil groups in mean hydraulic conductivity. Three soils exhibited significant differences in mean hydraulic conductivity between depths. Hydraulic conductivity measurements ranged up to 3 orders of magnitude within a soil. Variation in hydraulic conductivity estimates, both between and within soil groups, confirmed the variation observed in previous predictions of deep drainage, which were obtained using a semi-empirical model. A cluster analysis on hydraulic conductivity indicated that similar morphological soil properties did not necessarily reflect similar hydrologic properties. There was a strong relationship between hydraulic conductivity and exchangeable sodium percentage (ESP), hydraulic conductivity and clay content, and ESP and clay content. A model was developed to predict field saturated hydraulic conductivity from ESP and clay content data. Hydraulic conductivity measured in this study may not have been representative of percolation rates which would occur with low salinity irrigation water, but can be used to assess the risk of recharge from irrigation on different soils in the lower Macquarie Valley. Shallow watertables may potentially develop when the application of irrigation water greatly exceeds crop water requirements. Quantification of groundwater recharge will allow the likelihood of shallow watertable development in the Lower Macquarie Valley to be assessed.
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Sivapullaiah, P. V., A. Sridharan i V. K. Stalin. "Hydraulic conductivity of bentonite-sand mixtures". Canadian Geotechnical Journal 37, nr 2 (1.04.2000): 406–13. http://dx.doi.org/10.1139/t99-120.

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The use of bentonite alone or amended with natural soils for construction of liners for water-retention and waste-containment facilities is very common. The importance of bentonite content in reducing the hydraulic conductivity of liners is well recognised. The study illustrates the role of the size of the coarser fraction in controlling the hydraulic conductivity of the clay liner. It has been shown that at low bentonite contents the hydraulic conductivity of the liner varies depending on the size of the coarser fraction apart from clay content. At a given clay content, the hydraulic conductivity increases with an increase in the size of the coarser fraction. But when the clay content is more than that which can be accommodated within the voids of the coarser fractions, the hydraulic conductivity is controlled primarily by clay content alone. Four different methods of predicting hydraulic conductivity of the liners are presented. Using two constants, related to the liquid limit, the hydraulic conductivity can be predicted at any void ratio.Key words: clays, hydraulic conductivity, liquid limit, liners, void ratio.
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Lind, Bo B., i Lars Lundin. "Saturated Hydraulic Conductivity of Scandinavian Tills". Hydrology Research 21, nr 2 (1.04.1990): 107–18. http://dx.doi.org/10.2166/nh.1990.0008.

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There is a distinctive difference in hydraulic properties between the upper horizons of Scandinavian till soil and the deeper C-horizon. The hydraulic conductivity has been studied in different soil profile types, mainly Podzolic variants. In the topsoil there are correlations from grain size and porosity to hydraulic conductivity. Both porosity and hydraulic conductivity are stratified with depth. Often high conductivity appears in the upper soil horizons decreasing with depth to low values at about one metre. This pattern varies with soil type. The soils vary with topographic location as does the groundwater level. Published data on hydraulic conductivity in the C-horizon of sandy-silty tills in Scandinavia covers a wide range, from about 5 × 10−9 m/s to 5 × 10−4 m/s, with a mean of 3 × 10−6 m/s. The correlation between porosity and hydraulic conductivity, as well as between mean grain size and hydraulic conductivity, is weak in the C-horizon. It is concluded that the sediment structure has a decisive influence on the hydraulic conductivity of till. A model of the relationship between fabric (in relation to water flow direction), the porosity in the poresize interval 30-95 μm and the hydraulic conductivity is presented.
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Othman, Majdi A., i Craig H. Benson. "Effect of freeze–thaw on the hydraulic conductivity and morphology of compacted clay". Canadian Geotechnical Journal 30, nr 2 (1.04.1993): 236–46. http://dx.doi.org/10.1139/t93-020.

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Several studies have shown that freeze–thaw causes changes in the hydraulic conductivity of compacted clays. Cracks formed by ice lensing and shrinkage cause the hydraulic conductivity to increase. In this paper, changes in hydraulic conductivity are related to changes in morphology. Photographs of thin sections of frozen specimens show that ice lenses form in compacted clay during freezing in a closed system. Photographs also show that similar ice structures are obtained for one- and three-dimensional freezing, which explains why similar hydraulic conductivities are obtained for both conditions. The photographs also show that a significant network of cracks forms in a single cycle of freeze–thaw. With additional cycles, new ice lenses are created and thus the hydraulic conductivity continues to increase. However, after about three cycles the number of new ice lenses becomes negligible and hence further changes in hydraulic conductivity cease. The temperature gradient and state of stress affect morphology and hydraulic conductivity of compacted clays subjected to freeze–thaw. At larger temperature gradients, more ice lenses form and hence the hydraulic conductivity increases. In contrast, application of overburden pressure inhibits the formation of ice lenses and reduces the size of the cracks remaining when lenses thaw. As a result, the hydraulic conductivity is reduced. Key words : compacted clay, hydraulic conductivity, clay liners, soil liners, freeze-thaw, ice lenses, structure.
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Lu, C., Y. Zhang, L. Shu, X. Chen, S. Chen, S. Li, G. Wang i J. Li. "Stochastic analysis of the hydraulic conductivity estimated for a heterogeneous aquifer via numerical modelling". Proceedings of the International Association of Hydrological Sciences 368 (7.05.2015): 472–77. http://dx.doi.org/10.5194/piahs-368-472-2015.

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Abstract. The paper aims to evaluate the impacts of the average hydraulic conductivity of the heterogeneous aquifer on the estimated hydraulic conductivity using the observations from pumping tests. The results of aquifer tests conducted at a karst aquifer are first introduced. A MODFLOW groundwater flow model was developed to perform numerical pumping tests, and the heterogeneous hydraulic conductivity (K) field was generated using the Monte Carlo method. The K was estimated by the Theis solution for an unconfined aquifer. The effective hydraulic conductivity (Ke) was calculated to represent the hydraulic conductivity of a heterogeneous aquifer. The results of numerical simulations demonstrate that Ke increase with the mean of hydraulic conductivity (EK), and decrease with the coefficient of variation of the hydraulic conductivity (Cv). The impact of spatial variability of K on the estimated Ke at two observation wells with smaller EK is less significant compared to the cases with larger EK.
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Rozprawy doktorskie na temat "Hydraulic conductivity"

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Houston, Sonia A. "Regulation of venular hydraulic conductivity by estradiol". MU has:, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060106.

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Hussen, Akif Ali. "Measurement of Unsaturated Hydraulic Conductivity in the Field". FIND on the Web, 1991.

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Hussen, Akif Ali 1957. "Measurement of Unsaturated Hydraulic Conductivity in the Field". Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/191170.

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Unsaturated hydraulic conductivity was measured using four different methods. Tension permeameters were used to measure unsaturated hydraulic conductivity in the field, using a single disc method, which depends on the measurements of sorptivity, steady state flow rate, initial and final water content (White and Perroux, 1987, 1989). Also, a double disc method was used which utilizes Wooding's (1968) equation for two different disc radii at the same tension for steady state flow rates. Undisturbed and disturbed soil cores were used to measure unsaturated hydraulic conductivity in the lab, using water retention curves with van Genuchten's equations. There were no significant differences in the mean of hydraulic conductivity between single and double disc methods in all the tensions used (0, 5, 10 and 15 cm). There were significant differences between the field methods and undisturbed soil cores in zero cm tension, and disturbed soil cores in 10 and 15 cm tension. The effect of land preparation on the unsaturated hydraulic conductivity was studied using the double disc method. Tilling has significant effects on the unsaturated hydraulic conductivity at all tensions used. The spatial variation of unsaturated hydraulic conductivity and steady state flow in different tensions using the double disc method was studied. We found exponential variogram models for unsaturated hydraulic conductivity at 5, 10 and 15 cm tensions and a random model for zero cm tension. Also, exponential models were best fitted for steady state flow corresponding to pores radii of 0.03 - 0.015 cm, 0.015 - 0.010 cm and steady state flow at 10 cm tension. A Michaelis-Menton model was used for steady state flow at 5 cm and 15 cm tension. Disc permeameters were also used to add 5 cm depth of water, bromide and dye solution at 0, 5, 10 and 15 cm tensions with three replicates. A comparison was made between field data and simulated model under the same boundary and initial conditions as in the field. Results showed that the water and bromide move deeper than the prediction of the simulated model in all tensions used. The differences were larger between simulated model and field data for both water and bromide concentrations in the lower tension and smaller in the higher tension as a result of elimination of some preferential flow paths. An equation was developed for cumulative infiltration valid for both small and large time. The parameters calculated using the developed equation closely matched the measured infiltration, and fit better than a three term series similar to the Philip equation for one-dimensional flow.
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Harvey, Donald John 1951. "The effective hydraulic conductivity of unsaturated layered sands". Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/192009.

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Accurate estimates of field-scale hydraulic conductivities of unsaturated heterogeneous soils are very difficult to obtain. In the present study, various approaches to determining effective conductivity values for heterogeneous sands are compared with laboratory measurements. The unsaturated hydraulic conductivity, K(Ψ), of two homogeneous sands and one layered sand composed of the two homogeneous sands was measured using the steady-state flux control method. A van Genuchten model and an exponential model were fitted to the data. Various means of the homogeneous sand fitted K(Ψ) curves were compared with the layered sand K(Ψ) data using a direct averaging approach. The observed suction head variance, effective hydraulic conductivity, and the anisotropy were compared with expressions developed from stochastic theory. The results qualitatively support the stochastic approach. The outcome of the direct averaging approach was inconclusive however. Additional laboratory and field experimentation is needed.
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Lien, Bob Kuochuan 1959. "Field measurement of soil sorptivity and hydraulic conductivity". Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/192028.

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Four methods were applied at four experimental sites following a two-factor completely randomized design for field soil infiltration measurements at the University of Arizona Maricopa Agricultural Center. The Cassel ring and the disc permeameter at a 2 cm positive head provided saturated measurements whereas the 10 cm and the 5 cm tension disc permeameters provided unsaturated measurements which excluded pores ^ 0.03 and 0.06 cm in diameter, respectively. Sorptivity, hydraulic conductivity and characteristic mean pore size were calculated by the method given by White, Sully and Perroux (1989). Both sorptivity and hydraulic conductivity showed dependence on the method applied. The high sorptivity and hydraulic conductivity values obtained by saturated measurements were associated with the unavoidable presence of root channels and cracks at field hence provided large variation and poor repeatability. On the contrary, the disc permeameter at 5 cm tension demonstrated reliable repeatability and reasonable results.
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Zafar, Saleem. "Strength and hydraulic conductivity characteristics of roller compacted concrete". Ohio : Ohio University, 1997. http://www.ohiolink.edu/etd/view.cgi?ohiou1184617589.

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Bansal, S. P. "Sludge dewatering in terms of structure and hydraulic conductivity". Thesis, University of Strathclyde, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.382265.

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Britton, Jeremy Paul. "Soil-Bentonite Cutoff Walls: Hydraulic Conductivity and Contaminant Transport". Diss., Virginia Tech, 2001. http://hdl.handle.net/10919/28642.

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Soil-bentonite cutoff walls are commonly used to contain contaminants in the subsurface. A key property in determining the effectiveness of a cutoff wall is its hydraulic conductivity. There are important difficulties and uncertainties regarding the accuracy of commonly used methods of measuring the hydraulic conductivity of cutoff walls. When predicting contaminant transport through cutoff walls, common practice is to use the average hydraulic conductivity of the wall. There are some cases, however, such as circumferential cutoff walls with inward hydraulic gradients, where it is also important to consider the variability in hydraulic conductivity from point to point in the wall in contaminant transport studies. A pilot-scale facility was envisioned where subsurface barrier issues such as those mentioned above could be studied. In 1998, the Subsurface Barrier Test Facility (SBTF) was constructed. In this facility, pilot-scale subsurface barriers can be installed using real construction equipment and tested in a controlled environment. The effectiveness of various methods of measuring the hydraulic conductivity of cutoff walls was studied by building and testing three pilot-scale soil-bentonite cutoff walls at the SBTF. The following currently used test methods were evaluated: API tests on grab samples, lab tests on undisturbed samples, piezometer tests (slug tests), and piezocone soundings. The use of slug tests in cutoff walls was improved in this research in the areas of avoiding hydraulic fracture and accounting for the close proximity of the trench walls. The SBTF allows for measurement of the global, average hydraulic conductivity of an installed pilot-scale cutoff wall, which is a useful value to compare to the results of the above-mentioned tests. The two main factors differentiating the results of the different test methods used for the pilot-scale walls were remolding and sample size. Remolding of the API samples significantly reduced the hydraulic conductivity of these samples compared to the hydraulic conductivity measured in lab tests on undisturbed samples, which were of similar size. For the other tests, the degree and extent of remolding were less significant compared to in the API tests. For these tests, the scale of the measurement is believed to be the main factor differentiating the results. Hydraulic conductivity was found to increase as the sample volume increased, with the global measurement of the average hydraulic conductivity producing the highest value. The influence of variability in hydraulic conductivity on contaminant transport through cutoff walls was studied from a theoretical standpoint using the one-dimensional advection-diffusion equation. Charts were developed that can be used to estimate the flux through a cutoff wall based on knowledge of the average hydraulic conductivity of the wall and an estimate of the variability in hydraulic conductivity. Data sets of hydraulic conductivity from lab tests on soil-bentonite samples from four cutoff wall case histories were used to estimate typical values of variability. The contaminant transport analyses showed that the effect of variability may be significant when the hydraulic gradient opposes the concentration gradient, which is the case for a circumferential cutoff wall with an inward hydraulic gradient. The goal of a circumferential cutoff wall with an inward hydraulic gradient is to reduce the outward diffusive flux of contaminant by inducing an inward advective flux. The effect of variability in hydraulic conductivity is to reduce the effectiveness of this scheme.
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Paleologos, Evangelos Konstantinos 1958. "Effective hydraulic conductivity of bounded, strongly heterogeneous porous media". Diss., The University of Arizona, 1994. http://hdl.handle.net/10150/191184.

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This dissertation develops analytical expressions for the effective hydraulic conductivity Kₑ of a three-dimensional porous medium bounded by two parallel planes of infinite extent separated by a distance 2a. Head varies randomly along each boundary about a uniform mean value. The log hydraulic conductivity Y forms a homogeneous, statistically anisotropic random field having a variance σᵧ² and principal integral scales λ₁, λ₂, λ₃. Flow is uniform in the mean parallel to the principal coordinate χ₁. A solution is first derived for mildly nonuniform media with σᵧ² ≪ 1 via an approximate form of the 1993 residual flux theory by Neuman and Orr. It is then extended to strongly nonuniform media with arbitrarily large σᵧ² by invoking the Landau-Lifshitz conjecture as Kₑ = KG exp {σᵧ² [1/2 — (D + S)]} . Here, K(G) is the geometric mean of hydraulic conductivities and D and S are domain and surface integrals, respectively. Based on a rigorous limiting analysis we show that when the length scale ratio p = a / λ₁ → 0, Kₑ is equal to the arithmetic mean hydraulic conductivity K(A). This supports the theoretical finding of Neuman and Orr and the numerical result by Desbarats. When ρ → ∞ we obtain expressions for Kₑ that have been previously derived in the stochastic literature for infinite flow domains. For strongly anisotropic media with integral scale ratios ε₂ = λ₂ / λ₁ and ε₃ = λ₃ / λ₁ equal to each other and tending to zero or infinity ( ) i 0) we obtain the closed form solution Kₑ = K(G) exp {σᵧ²[exp(—p) — 0 .5]} . The latter reduces to K(A) when ρ → 0 and tends to the harmonic mean K(H) as ρ → ∞. One can think of the case ε₂ = ε₃ = 0 as mean flow along parallel channels having mutually uncorrelated hydraulic conductivities, and of the case ε₂ = ε₃ → ∞ as mean flow normal to layers having uniform hydraulic conductivities. For statistically isotropic media we show numerically that Kₑ equals K(A) when ρ = 0.01; when ρ ≥ 4, Kₑ = K(G) exp(σᵧ²/6) the three-dimensional infinite domain solution. Our results support the analytical finding of Rubin and Dagan, and predict and explain all related bounded domain numerical results. Finally, contrary to Dagan's assertion, we show that for small ρ boundary effects are extremely important; the absolute value of the surface integral S equals the value of the domain integral D.
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Rahi, Khayyun Amtair 1954. "Hydraulic conductivity assessment for a variably-saturated rock matrix". Thesis, The University of Arizona, 1986. http://hdl.handle.net/10150/191883.

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Water flow through unsaturated rock has received increasing attention recently. In order to solve unsaturated flow problems, it is necessary to determine the unsaturated hydraulic conductivity, K. A model which predicts K from water retention data was evaluated for rock matrices. It includes three unknown parameters to be determined from experimental data. To verify the model, K was measured by the outflow method. Water retention data were determined by two methods, the pressure plate extractor and the psychrometer. Near saturation, the water retention curve was best estimated by the pressure extractor method. The outflow method gave reliable measurements of K at low negative pressure heads (≥ -1000 cm of water). The predicted K deviated from the experimental values when only the water retention data were used to estimate the model parameters. When the measured K was incorporated in the parameter estimation process, the deviation was reduced considerably.
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Książki na temat "Hydraulic conductivity"

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Merrill, S. D. Hydraulic conductivity techniques. S.l: s.n, 1987.

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Rogowski, A. S. Hydraulic conductivity of compacted clay soils. S.l: s.n, 1986.

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Daniel, DE, i SJ Trautwein, red. Hydraulic Conductivity and Waste Contaminant Transport in Soil. 100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959: ASTM International, 1994. http://dx.doi.org/10.1520/stp1142-eb.

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1949-, Daniel David E., i Trautwein Stephen J. 1952-, red. Hydraulic conductivity and waste contaminant transport in soil. Philadelphia, PA: ASTM, 1994.

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Molz, Fred J. Measurement of hydraulic conductivity distributions: A manual of practice. Ada, OK: Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1990.

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Oberlander, P. L. Hydraulic conductivity with depth for underground test area (UGTA) wells. [S. l.]: Desert Research Institute, 2007.

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Caudle, R. D. Effects of deep tillage on hydraulic conductivity of reclaimed soils. S.l: s.n, 1990.

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Andjelko, Soro, red. Determination of hydraulic conductivity of porous media from grain-size composition. Littleton, Colo: Water Resources Publications, 1992.

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J, Conrad D., i Risk Reduction Engineering Laboratory (U.S.), red. Parameters affecting the measurement of hydraulic conductivity for solidified stabilized wastes. Cincinnati, OH: U.S. Environmental Protection Agency, Risk Reduction Engineering Laboratory, 1993.

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H, Wolf Steven, Geological Survey (U.S.) i United States. Environmental Protection Agency., red. Techniques to determine spatial variations in hydraulic conductivity of sand and gravel. Ada, Okla: Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, 1991.

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Części książek na temat "Hydraulic conductivity"

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Chesworth, Ward, Marta Camps Arbestain, Felipe Macías, Otto Spaargaren, Otto Spaargaren, Y. Mualem, H. J. Morel‐Seytoux i in. "Conductivity, Hydraulic". W Encyclopedia of Soil Science, 162–65. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-3995-9_125.

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Scesi, Laura, i Paola Gattinoni. "Hydraulic Conductivity Assessment". W Water Circulation in Rocks, 29–48. Dordrecht: Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2417-6_2.

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Dassargues, Alain. "Hydraulic conductivity measurements". W Hydrogeology, 107–53. First Edition. | Boca Raton, Florida : Taylor & Francis, A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc, [2019]: CRC Press, 2018. http://dx.doi.org/10.1201/9780429470660-5.

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Angulo-Jaramillo, Rafael, Vincenzo Bagarello, Massimo Iovino i Laurent Lassabatere. "Saturated Soil Hydraulic Conductivity". W Infiltration Measurements for Soil Hydraulic Characterization, 43–180. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31788-5_2.

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Hughes, John, i Robert Whittle. "Hydraulic Conductivity and Consolidation". W High Resolution Pressuremeters and Geotechnical Engineering, 149–72. London: CRC Press, 2022. http://dx.doi.org/10.1201/9781003200680-6.

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Maliva, Robert G. "Hydraulic Conductivity Estimation and Upscaling". W Springer Hydrogeology, 489–515. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32137-0_16.

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Klute, A., i C. Dirksen. "Hydraulic Conductivity and Diffusivity: Laboratory Methods". W SSSA Book Series, 687–734. Madison, WI, USA: Soil Science Society of America, American Society of Agronomy, 2018. http://dx.doi.org/10.2136/sssabookser5.1.2ed.c28.

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Deurer, Markus, Brent Clothier, Steve Green i Glendon Gee. "Infiltration Rate, Hydraulic Conductivity, Preferential Flow". W Soil Science Step-by-Step Field Analysis, 221–34. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2015. http://dx.doi.org/10.2136/2008.soilsciencestepbystep.c17.

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Hunt, Allen, Robert Ewing i Behzad Ghanbarian. "Hydraulic and Electrical Conductivity: Conductivity Exponents and Critical Path Analysis". W Percolation Theory for Flow in Porous Media, 157–217. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03771-4_6.

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Hunt, Allen, i Robert Ewing. "Hydraulic and Electrical Conductivity: Conductivity Exponents and Critical Path Analysis". W Percolation Theory for Flow in Porous Media, 123–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-89790-3_5.

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Streszczenia konferencji na temat "Hydraulic conductivity"

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Renkes, I., D. Anschutz, K. Sutter i A. Rickards. "Long Term Conductivity vs. Point Specific Conductivity". W SPE Hydraulic Fracturing Technology Conference and Exhibition. Society of Petroleum Engineers, 2017. http://dx.doi.org/10.2118/184814-ms.

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Barree, R. D., J. L. Miskimins, M. W. Conway i R. Duenckel. "Generic Correlations for Proppant Pack Conductivity". W SPE Hydraulic Fracturing Technology Conference. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/179135-ms.

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de Lima, Olivar A. L. "Hydraulic conductivity of shaly sands". W SEG Technical Program Expanded Abstracts 1994. Society of Exploration Geophysicists, 1994. http://dx.doi.org/10.1190/1.1822725.

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Parsekian, Andrew D., Rosemary Knight, Elliot Grunewald, David O. Walsh i Jim Butler. "Calibrating surface NMR hydraulic conductivity estimates using logging NMR and direct hydraulic conductivity measurements". W SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-1183.1.

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Khalil, Mohamed Ahmed, i Fernando Monteiro Santos. "Using real surface conductivity component to estimate hydraulic conductivity". W SEG Technical Program Expanded Abstracts 2010. Society of Exploration Geophysicists, 2010. http://dx.doi.org/10.1190/1.3513673.

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Manrique, Jorge F., i Bobby Dale Poe. "Evaluation and Optimization of Low Conductivity Fractures". W SPE Hydraulic Fracturing Technology Conference. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106317-ms.

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Zhang, Junjing, Ding Zhu i Alfred Daniel Hill. "Water-Induced Fracture Conductivity Damage in Shale Formations". W SPE Hydraulic Fracturing Technology Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/173346-ms.

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Neumann, Luis Fernando, Thiago Judson Lima De Oliveira, Jose Luiz A. O. Sousa, Paulo Dore Fernandes i Edimir M. Brandao. "Building Acid Frac Conductivity in Highly-Confined Carbonates". W SPE Hydraulic Fracturing Technology Conference. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/152164-ms.

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Zhang, Junjing, D. Zhu i A. D. Hill. "Water-Induced Fracture Conductivity Damage in Shale Formations". W SPE Hydraulic Fracturing Technology Conference. SPE, 2015. http://dx.doi.org/10.2118/spe-173346-ms.

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Streszczenie:
Abstract Shale fracture conductivity can be reduced significantly due to shale-water interactions. Factors that may influence shale fracture conductivity include shale mineralogy, proppant embedment, shale fines migration, proppant fines migration, brine concentration, longer term rock creep, and residual water in the fracture. The study of excessive proppant embedment has been reported in our previous work (Zhang et al. 2014a). This paper presents the studies of the rest of these factors. Laboratory experiments were run to understand each of these factors. To study the effect of rock mineralogy, recovered fracture conductivities after water damage for the Barnett Shale, the Eagle Ford Shale, and Berea Sandstone were measured. During conductivity measurements, water flow directions were switched to study the effect of shale fines migration. The size of shale fines was measured by microscopic imaging techniques, and scanning electron microscopic observations are also presented. Proppant fines migration was examined by placing two colors of sand on each half of the fracture surface and a microscope was used to identify the migrated crushed sands of one color mixed in the other color sand. Fresh water and 2% KCl were injected to study the effect of brine concentration. After water injection, the proppant pack was either fully dried or kept wet to investigate the damage by residual water. Results showed that clay content determines the fracture conductivity damage by water. Fines generated from the shale fracture due to fracture face spalling, slope instability, and clay dispersion can migrate inside the fracture and are responsible for approximately 20% of the conductivity reduction. There is no evidence of crushed proppant particle migration in this study. Longer term rock creep accounts for a 20% reduction of the fracture conductivity. Fresh water does not further damage the fracture conductivity when initial conductivities are above 65 md-ft. Removal of the residual water from the fracture by evaporation helps recover the fracture conductivity to a small extent. A theoretical model of propped fracture conductivity was extended to include the effects of water damage on fracture conductivity. An empirical correlation for the damage effects in the Barnett shale was implemented in this model.
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Song, C. R., i S. Pulijala. "Hydraulic Conductivity Interpretation Using Piezocone Results". W GeoShanghai International Conference 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40861(193)4.

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Raporty organizacyjne na temat "Hydraulic conductivity"

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Zimmerman, R. W., i G. S. Bodvarsson. Hydraulic conductivity of rock fractures. Office of Scientific and Technical Information (OSTI), październik 1994. http://dx.doi.org/10.2172/60784.

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Nichols, R. HYDRAULIC CONDUCTIVITY OF ESSENTIALLY SATURATED PEAT. Office of Scientific and Technical Information (OSTI), luty 2008. http://dx.doi.org/10.2172/924477.

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Miller, D. H., i M. M. Reigel. Formed Core Sampler Hydraulic Conductivity Testing. Office of Scientific and Technical Information (OSTI), wrzesień 2012. http://dx.doi.org/10.2172/1056465.

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Pasquier, P., N. Benoit, Y. Delahaye, L. Gagnon i R. Mulligan. Hydraulic conductivity database, Simcoe County, southern Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/299048.

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McElwee, Carl D., Brett R. Engard, Brian J. Wachter, Shane A. Lyle, John Healey i J. F. Devlin. Hydraulic Tomography and High-Resolution Slug Testing to Determine Hydraulic Conductivity Distributions. Fort Belvoir, VA: Defense Technical Information Center, luty 2011. http://dx.doi.org/10.21236/ada544869.

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Engard, Brett R., Carl D. McElwee, Rick Devlin, Brian Wachter i Benjamin Ramaker. Hydraulic Tomography and High-Resolution Slug Testing to Determine Hydraulic Conductivity Distributions - Year 2. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2006. http://dx.doi.org/10.21236/ada478723.

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Rockhold, M. L., M. J. Fayler i G. W. Gee. Characterization of unsaturated hydraulic conductivity at the Hanford Site. Office of Scientific and Technical Information (OSTI), lipiec 1988. http://dx.doi.org/10.2172/6970088.

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Zhang, Z. F., Anderson L. Ward i Jason M. Keller. Determining the Porosity and Saturated Hydraulic Conductivity of Binary Mixtures. Office of Scientific and Technical Information (OSTI), wrzesień 2009. http://dx.doi.org/10.2172/1016457.

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Dixon, Kenneth L. Method development for determining the hydraulic conductivity of fractured porous media. Office of Scientific and Technical Information (OSTI), wrzesień 2013. http://dx.doi.org/10.2172/1117006.

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Gribb, Molly M. Hydraulic Conductivity Measurement in Unsaturated Soils with a Modified Cone Penetrometer. Fort Belvoir, VA: Defense Technical Information Center, sierpień 1999. http://dx.doi.org/10.21236/ada369932.

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