Дисертації з теми "Hydraulic conductivity measurements"
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Petroutson, William D., Jeffery B. Bennett, Roderic A. Parnell, and Abraham E. Springer. "Hydraulic-Conductivity Measurements of Reattachment Bars on the Colorado River." Arizona-Nevada Academy of Science, 1995. http://hdl.handle.net/10150/296453.
Повний текст джерелаAndrén, Jakob. "An Overview of State-of-the-art Hydraulic Conductivity Measurements in Coarse Grained Materials." Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445699.
Повний текст джерелаFyllnadsdammar är uppbyggda av jord och sprängsten av olika storlekar och finns över hela världen.Att känna till den hydrauliska konduktiviteten (K) av de olika lagren är viktigt för att kunna byggadessa på ett säkert och hållbart sätt. Det har identifierats en bristande kunskap angående K mätningar igrovkorniga jord- och stenmaterial. Målet med denna uppsats är att presentera en teoretisk översikt avden senaste kunskapen inom K mätningar i grovkorniga jord- och stenmaterial och vilka egenskapersom avgör ett materials K. Grovkorniga jord- och stenmaterial syftar till material där den grövstakornstorleken är > 20 mm och/eller har ett K > 10-4m/s. För laboratorie mätningar är en permeameter med en solid vägg den mest lämpliga metoden. Förfältmätningar är det möjligt att mäta K med hjälp av spårämnen, men dessa har mer potential för attupptäcka läckage vägar i fyllnadsdammar. De faktorer som avgör ett materials K ärkornstorleksfördelningen, geometrin av porerna, graden av kompaktering, partikelrörelse ochflödestyp. För att producera mätningar som är användbara behöver dessa faktorer kontrolleras. Omsambandet mellan hydrauliskt huvud och flödeshastighet är icke linjärt kan K inte beräknas genomDarcy´s lag.
McKenzie, Colette R. "Measurements of hydraulic conductivity using slug tests in comparison to empirical calculations for two streams in the Pacific Northwest, USA." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Thesis/Spring2008/c_mckenzie_041408.pdf.
Повний текст джерелаHussen, Akif Ali. "Measurement of Unsaturated Hydraulic Conductivity in the Field." FIND on the Web, 1991.
Знайти повний текст джерелаHussen, Akif Ali 1957. "Measurement of Unsaturated Hydraulic Conductivity in the Field." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/191170.
Повний текст джерелаLien, Bob Kuochuan 1959. "Field measurement of soil sorptivity and hydraulic conductivity." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/192028.
Повний текст джерелаGomes, Maria Carolina Villaça. "Análise da influência da condutividade hidráulica saturada dos solos nos escorregamentos rasos na bacia do rio Guaxinduba (SP)." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/8/8135/tde-09112012-123744/.
Повний текст джерелаThe prediction of landslides-prone areas has as fundamental step researching controlling factors and failure mechanisms. Some of these properties, such as the physical and hydrological soil properties are crucial to the instability of slopes subject to intense rainfall events. One of these properties is the saturated hydraulic conductivity, whose behavior can influence and lead to the development of positive pore-pressure or the loss of soil suction, causing failures. The main objective of this research was to analyze the lateral and vertical hydraulic conductivity (Ksat) of soils and their influence on shallow landslides in the Serra do Mar (SP). Therefore, we selected a representative basin in the Serra do Mar and there three accessible scars, well preserved, were chosen for in situ measurements. Was also performed the topographical characterization of the scars (slope angle, curvature and orientation and contributing area). The depths where the measurements were performed were defined from the morphological characterization of soil profiles in opened trenches at the top, at the lateral and inside the scars (0.25, 0.50, 1.00, 1.50, 2.00 and 2.50 m). At last, were performed the in situ measurements using the Guelph Permeameter, using two heads H for calculating Ksat using Richards equations, Laplace equations and Elrick et al. (1989) analysis, although the latter has been used to analyze the range of values. From the Ksat values and physical soil properties (e. g. grain size distribution, micro and macroporosity, total porosity) we discussed the role played by them in Ksat values. Moreover was analyzed the trend of Ksat variation with depth. We obtained 41 Ksat values, which varied between 10-4 e 10-7 m/s, mostly among the orders of magnitude 10-5 e 10-6 m/s (82.5% values), that showed the small variability of Ksat in the soil profiles if compared to the observed differences in soil properties, and corroborate with studies developed in the Serra do Mar. When confronted with the physical properties of materials (eg, grain size and total porosity), we observed mainly the positive correlation with the sand content. In general, we observed a tendency of increase of Ksat with depth, as well as the existence of some significant hydraulic discontinuities, both the sudden decrease as the increase in Ksat in a small depth.
Špongrová, Kamila. "Design of an automated tension infiltrometer for unsaturated hydraulic conductivity measurement." Thesis, Cranfield University, 2006. http://hdl.handle.net/1826/1420.
Повний текст джерелаMurray, Gordon Bruce. "The development of an estimation method for the saturated hydraulic conductivity of selected Nova Scotia soils /." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59983.
Повний текст джерелаModel development processes proved unsuccessful due to the influence of factors not considered by the model due to their qualitative nature. Independent field testing of the estimation method with respect to core and Guelph permeameter measurement techniques produced measured values within the same class as the estimated value 34% of the time for both techniques and values within one estimated class or less 70 and 76% of the time for core and permeameter techniques respectively.
Johnejack, Kent Robert 1958. "Measurement of saturated hydraulic conductivity with a sealed double ring infiltrometer at Page Ranch, Arizona." Thesis, The University of Arizona, 1992. http://hdl.handle.net/10150/278186.
Повний текст джерелаAlmeida, Eurileny Lucas de. "Measurement of hydraulic conductivity and water retention curves for different methods and prediction of soil physical properties by kriging." Universidade Federal do CearÃ, 2013. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=13855.
Повний текст джерелаKnowledge of the physical and hydraulic properties of the soil and its spatial dependence is important because it allows you to perform the zoning of the area in plots that receive differentiated management. This work was divided into three chapters whose general objective is to measure the hydraulic conductivity and water retention curve in soil by different methods and by using the Kriging, draw maps of soil physical attributes of the Irrigation Perimeter Baixo AcaraÃ. To obtain the water retention in soil curve method was used filter paper compared to the traditional method in five different soils Perimeter. To measure the hydraulic conductivity were used capacitive sensors to replace the tensiometer in the instantaneous profile installed method on a Argissolo Vermelho Amarelo eutrÃfico , as well as the calibration of these sensors in the field and laboratory. The maps were obtained by kriging of soil properties: sand, silt, clay, soil and particle density, porosity and saturated hydraulic conductivity. To obtain this last the tension infiltrometer and the constant load permeameter were used.
O conhecimento dos atributos fÃsico-hÃdricos do solo e de sua dependÃncia espacial à importante, pois permite realizar o zoneamento da Ãrea em glebas que receberÃo prÃticas de manejo diferenciadas. Este trabalho foi dividido em trÃs capÃtulos cujo objetivo geral à medir a condutividade hidrÃulica e a curva de retenÃÃo de Ãgua no solo por diferentes mÃtodos e, utilizando a Krigagem, elaborar mapas de atributos fÃsicos dos solos do PerÃmetro Irrigado Baixo AcaraÃ. Para obtenÃÃo da curva de retenÃÃo de Ãgua no solo foi utilizado o mÃtodo do papel filtro em comparaÃÃo ao mÃtodo tradicional em cinco diferentes solos do PerÃmetro. Para medida da condutividade hidrÃulica foram utilizados sensores capacitivos em substituiÃÃo aos tensiÃmetro no mÃtodo do perfil instantÃneo instalado em um Argissolo Vermelho Amarelo eutrÃfico, como tambÃm a calibraÃÃo desses sensores em campo e laboratÃrio. Os mapas obtidos atravÃs da Krigagem foram dos atributos do solo: areia, silte, argila, densidade do solo e partÃculas, porosidade e condutividade hidrÃulica saturada. Para obtenÃÃo deste ultimo foram utilizados o infiltrÃmetro de tensÃo e o permeÃmetro de carga constante.
Courtois, Nathalie. "Caractérisation de la dispersion en aquifère hétérogène par méthodes de traçages et modélisation stochastique : Application à la nappe alluviale du Drac, à Grenoble." Paris, ENMP, 1999. http://www.theses.fr/1999ENMP0002.
Повний текст джерелаDispersion in aquifer at large scale is mainly dominated by the spatial structure of the hydraulic conductivity field. The aim of the study is to characterize the dispersive properties of an alluvial aquifer located near Grenoble through two approaches both based on the use of experimental tracing data. The first approach is the classical one: some field-scale tracer tests are conducted under natural gradient on an experimental site which includes 17 fully-penetrating wells. The maximum extent is about 45 meters along the main flow direction. Fluorescent tracers are injected, and their migration is monitored in the restitution wells by sampling device of the volume-averaged concentration. The hydrodispersive parameters are estimated by fitting the classical 2D analytical solution of the advection-dispersion equation on the experimental breakthrough curves. The second approach is to characterize the spatial variability of hydraulic conductivity, in order to generate stochastic fields. The vertical distribution of the horizontal groundwater flow is measured in boreholes by dilution method. This measurement method is modelled as a combination of simple flow structures, which leads to an analytical expression of the tracer concentration versus time. The flow is estimated from the fit of this analytical model on the experimental dilution curves. Hydraulic conductivity is then deduced from the flow through the Darcy’s equation, supposing an average hydraulic gradient on the site. Such vertical profiles on one-meter averaged hydraulic conductivities are conducted in wells to give 185 values on the entire site. The distribution of hydraulic conductivity draws near to a lognormal one, and is assumed to be so in the later generation of stochastic fields. The spatial correlation of the measured data is described by variograms in horizontal and vertical directions. Two types of model are used to fit these variograms: an exponential one, and a more complex model with ‘hole-effect’ in order to simulate channelling. 3D-stochastic hydraulic conductivity fields following these two spatial laws are generated using the geostatistical software ISATIS. These fields are then incorporated in the finite-elements code CASTEM2000 to lead to the associated flow fields. The transport is modelled by particle-tracking and Monte-Carlo techniques. The determination of the first and second order spatial moments leads to the dispersion coefficients. The simulated dispersivities are then compared to the experimental ones, and to the ones predicted by stochastic theories. The longitudinal dispersivity seems to reach an asymptotic limit after a 10 correlation lengths travel
Courtois, Nathalie. "Caractérisation de la dispersion en aquifère hétérogène par méthodes de traçages et modélisation stochastique : Application à la nappe alluviale du Drac, à Grenoble." Paris, ENMP, 1999. http://www.theses.fr/1999ENMPA001.
Повний текст джерелаAdams, Amy Lynn. "Laboratory evaluation of the constant rate of strain and constant head techniques for measurement of the hydraulic conductivity of fine grained soils." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/66859.
Повний текст джерелаCataloged from PDF version of thesis.
Includes bibliographical references (p. 185-187).
This thesis evaluates the constant rate of strain and constant head techniques for measurement of the hydraulic conductivity of fine grained soils. A laboratory program compares hydraulic conductivity measurements made using both measurement techniques on a total of 12 specimens. Both resedimented and intact materials covering a wide range of plasticity are investigated. Specific material types include Boston Blue Clay, San Francisco Bay Mud, Maine Clay, Ugnu Clay and Kaolinite. Constant rate of strain (CRS) and constant head tests were conducted in a standard Trautwein CRS device modified to allow control of the base pore pressure for constant head testing. A flexible wall permeameter device was used to perform constant head hydraulic conductivity testing on two specimens; this allowed for comparison with the constant head measurements made in the CRS device. A bottom seating error was found in the CRS device. Bottom seating error occurs during set up when the top of the base porous stone is not flush with the bottom of the rigid specimen ring, causing a gap to form between the specimen and the porous stone. A bottom seating error translates into a strain error, which affects both the measured CRS compression and hydraulic conductivity results. Bottom seating error can be avoided using a modified set up procedure. Void ratio errors are sometimes noted between the void ratio measured in the CRS device and that measured upon removal from the CRS device. These errors are likely resultant from specimen swelling following load removal. Based on comparison to the results of an interlaboratory study into the reproducibility of the saturated hydraulic conductivity measured in a flexible wall permeameter, the CRS and constant head techniques were found to measure the same hydraulic conductivity. This conclusion is independent of specimen origin, i.e. resedimented or intact. The CRS and constant head techniques measure the same average hydraulic conductivity even when non uniformities are present, provided the non uniformities are continuous and oriented perpendicular to the axial loading direction.
by Amy Lynn Adams.
S.M.
Trinh, Viet Nam. "Comportement hydromécanique de matériaux constitutifs de plateformes ferroviaires anciennes." Phd thesis, Université Paris-Est, 2011. http://pastel.archives-ouvertes.fr/pastel-00647893.
Повний текст джерелаKorn, Sandra. "Experimentelle Untersuchung der Wasseraufnahme und der hydraulischen Eigenschaften des Wurzelsystems von sechs heimischen Baumarten." Doctoral thesis, [S.l.] : [s.n.], 2004. http://webdoc.sub.gwdg.de/diss/2004/korn/korn.pdf.
Повний текст джерелаZawadzki, Willy. "Data worth of the hydraulic conductivity measurements : slug test and pumping test." Thesis, 1996. http://hdl.handle.net/2429/4726.
Повний текст джерелаHill, Todd H. "Field and laboratory measurements of the hydraulic conductivity of compacted mine waste rock." 1998. http://catalog.hathitrust.org/api/volumes/oclc/48044268.html.
Повний текст джерелаTypescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 77-78).
Lien, Bob Kuochuan. "Field measurement of soil sorptivity and hydraulic conductivity." 1989. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1989_664_sip1_w.pdf&type=application/pdf.
Повний текст джерелаPetrak, Martin J. "Development of an in situ hydraulic conductivity probe and measurement protocol." 2003. http://hdl.handle.net/1993/12328.
Повний текст джерелаChen, Po-Jui, and 陳柏瑞. "Measurement of Hydraulic Conductivity Along the Vertical Direction in the Puli Basin." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/12775744051575949992.
Повний текст джерела臺灣大學
地質科學研究所
98
The permeability of the layer is an important parameter for groundwater research and engineering application. Although one can use pumping-test to measure average hydraulic conductivity of aquifer, one cannot obtain the permeability changes of layers. However, it is difficult to operate double packer slug test and this test is lack of accuracy. The research is measuring the permeability changes of layers on the vertical direction inside the boreholes through heat-pulse flowmeter, therefore we could obtain the data for the permeability of the aquifer changes on the vertical direction. Due to the difference of well diameters and the amount of pump water, it will cause error when measuring through flowmeter. When Reynolds number of the fluid is bigger than 2100, the flow will enter the turbulent flow status; the fluid will be not only moving forward, but also breaking into eddies and causes the measurement result larger than the reality. Measurement result is affected by the geometric shapes of flowmeter and natural convections, we have to leverage calibration formulas to adjust the measurement results. The calibration formulas would vary by different sizes of well diameters. The study has been conducted with two wells with diameter as 8 inches but different depths to reflect the water level changes of first and second aquifer. We first pumped water at the top of the well and generated a stable upward flow, and then used heat-pulse flowmeter to measure the flow speed on the vertical direction for the two wells. We recorded the permeability of the layer changes as the depth changed. By using the calibration formula, we could correct the error caused by the turbulent flow when pumping. This has been compared with the stratigraphic column and natural gama and showed great result. Leveraging pumping water data from Central Geological Survey MOEA, we could calculate its continuous changes of hydraulic conductivity on the vertical direction. The result showed that major high permeability section of first aquifer is around below 15.50 meter and the major high permeability of second aquifer is around below 40.75 meter. Although the lithology changes of aquifer is not significant, the hydraulic conductivity of high permeability sections could be as high as 4.5 times of the average hydraulic conductivity of overall aquifer.
Tsai, Yeng-Bang, and 蔡彥邦. "comparison of hydraulic conductivity measurement by different methods in Lienhuachih forest land." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/04384072212249900319.
Повний текст джерела國立臺灣大學
森林環境暨資源學研究所
101
The study investigate about the saturated hydraulic properties of soil in forest watershed. This study area was at Lienhuachih watershed No. 4 and No. 5, where we choose four transects respectively selected from ridge and hillslope. Each location comprised soil depths of 0 cm and 20 cm, where Double-ring infiltrometer was used to measure field infiltration rate, and calculate the hydraulic conductivities in each point. At the same time, use the 20 cm of diameter and 40 cm of length cylinder to dig the large-scale undisturb soil samples, in order to compare the difference measurement types (Constant-Head Permeability Test and Falling-Head Permeability Test ) whether the conclusions are differ or not. Besides, collect small undisturbed soil to do physical analysis so as to compared the field and lab infiltration results and illustrate the influence of soil texture, large macroporosity, coarse porosity to the penetrate rate. By the way, we compared the difference properties in Guelph infiltrometer, tension infiltrometer and double-ring infiltrometer. The results of double ring infiltration test, the average saturated hydraulic conductivity in watershed No.5 are large than in No.4. The soil texture of No.5 is clay loam, and there is more sand; the texture of No.4 is silt clay, there is more clay. The clay water retention capacity is better than sand, so that the saturated hydraulic conductivity is watershed No.5 more large than No.4. In comparison with double ring infiltration, constant head permeability test and falling head permeability, the saturated hydraulic conductivity of double ring infiltration is all large than constant head permeability. The reason that constant head permeability’s water flow is through down to above, the soil at 30 cm is closely knit than 0~20 cm so that the saturated hydraulic conductivity is low. The saturated hydraulic conductivity of falling head permeability test is all large than double ring infiltration. The reason that falling head permeability test’s pressure head is large than double ring’s, and the falling head permeability test in good permeability soil may overestimate. Besides, we compare the hydraulic conductivity of Guelph infiltrometer, tension infiltrometer and double-ring infiltrometer. The saturated hydraulic conductivity of tension infiltrometer is lower than Guelph infiltrometer and double-ring infiltrometer, and the results of Guelph infiltrometer is closely by double-ring infiltrometer. The lab simulated rainfall conclusion, use the Brooks and Corey method to get the unsaturated hydraulic conductivity properties with water pressure head. The soil pore size distribution parameter (η) of No. 5 watershed is more large than No. 4, show that the soil porosity structure in watershed No.5 was more heterogeneous. There are more abundant soil aggressive structure and loose properties. The critical capillary head of No.4 is large than No.5, appeared that soil texture in No.4 is silt clay and micropores content is relatively high, that’s the reason why there has the smller saturated hydraulic conductivity.
Legowo, Eko. "Estimation of water extractability and hydraulic conductivity in tropical mollisols, ultisols, and andisols." Thesis, 1987. http://hdl.handle.net/10125/9251.
Повний текст джерелаKlenzendorf, Joshua Brandon. "Hydraulic conductivity measurement of permeable friction course (PFC) experiencing two-dimensional nonlinear flow effects." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-05-977.
Повний текст джерелаtext
Alexander, Matthew. "Evaluation of Traditional Hydrogeologic Characterization Approaches in a Highly Heterogeneous Glaciofluvial Aquifer/Aquitard System." Thesis, 2009. http://hdl.handle.net/10012/4448.
Повний текст джерелаLin, Helen, and 林海倫. "The Estimating of Hydraulic Conductivity Using 1-D Electrical Resistivity Measurement – A Case Study in the Zhuoshui River Alluvial Fan." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/5pdfpr.
Повний текст джерела國立交通大學
土木工程系所
101
Hydraulic conductivity (K) is an important parameter of an aquifer and is usually obtained using conventionally pumping test method. However, the pumping test method is time consuming and expensive so that only limited data can be collected. In recent years, some studies estimated hydraulic conductivity using surface electrical resistivity survey along with pumping test data. These studies demonstrate its efficiency with low requirement of pumping test data and low cost. However, majority of these studies apply simple linear regression to modeling the relationship between pumping test data (K) and formation factor derived from electric resistivity data without consideration of clay layers. Thus, the equations derived by these studies are only suitable for the study areas without clay layers. In fact, clay layers are commonly distributed in middle-fan and distal-fan. Therefore, this study divides study area, Zhuoshui River Alluvial Fan, into several zones based on the sediment distribution. Each zone has a linear regression equation derived from the pumping test data and formation factors. Moreover, this study applied these equations to develop the hydraulic conductivity distribution of the study area, which locates on the shallow aquifer of the major fan, which is bounded by the Old Zhuoshui River at the north side and by New Hu-Wei River at the south side. The result shows that the shallow aquifer of the major fan of Zhuoshui River can be divided into two zones, which are top-fan and non-top-fan areas. The regression results show good correlation between hydraulic conductivity and the formation factor in each zone. These regression equations are then used to estimate hydraulic conductivity in the study area. The results are compared between the field measurement and the results obtained from Khalil’s equations. The results indicate that the estimation error, between 11m/day and 58m/day, is much smaller than the estimation error obtained using Khalil’s equation. The results of this study can be further applied to other analyses such as groundwater modeling or water fluctuation method.
Judge, Aaron. "Measurement of the hydraulic conductivity of gravels using a laboratory permeameter and silty sands using field testing with observation wells." 2013. https://scholarworks.umass.edu/dissertations/AAI3589054.
Повний текст джерелаKöcher, Paul. "Hydraulic traits and their relevance for water use strategies in five broad-leaved tree species of a temperate mixed forest." Doctoral thesis, 2012. http://hdl.handle.net/11858/00-1735-0000-0001-BC4A-8.
Повний текст джерела