Relevant bibliographies by topics / Soil analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Soil analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 September 2023

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Journal articles on the topic "Soil analysis"

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Baldrian, P. "Microbial enzyme-catalyzed processes in soils and their analysis." Plant, Soil and Environment 55, No. 9 (October 14, 2009): 370–78. http://dx.doi.org/10.17221/134/2009-pse.

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Currently, measuring enzyme activities in soils or other lignocellulose-based materials is technically feasible; this measurement is particularly suitable for evaluating soil processes of biopolymer (cellulose, hemicelluloses, lignin, chitin and others) degradation by microbes and for assessing cycling and mobilization of principal nutrients including nitrogen, phosphorus and sulfur. With some considerations, assay methods can provide reliable information on the concentration of enzymes in soil or the rates of enzyme-catalyzed processes. Enzyme analyses in recent studies demonstrated a high level of spatial variability of soil enzyme activity both in depth and in space. The vertical gradients of enzyme activities are most developed in forest soils. Furthermore, enzyme activity in soils is regulated by seasonally-dependent variables such as temperature, moisture and the input of fresh litter. While several enzymes are widely produced by different groups of soil microorganisms, some of them can be used as indicators of the presence or activity of specific microbial taxa.
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Saeed, Iftikhar Ahmed, Minjuan Wang, Yanzhao Ren, Qinglan Shi, Muhammad Hammad Malik, Sha Tao, Qiang Cai, and Wanlin Gao. "Performance analysis of dielectric soil moisture sensor." Soil and Water Research 14, No. 4 (October 9, 2019): 195–99. http://dx.doi.org/10.17221/74/2018-swr.

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Soil moisture (SM) varies greatly in the soil profile. We developed a low-cost sensor for SM monitoring at three vertical depths. The sensor function was based on dielectric theory to monitor SM. Three linear calibration models were established using different soils. The sensor for each depth showed acceptable statistics of validations. The linear fit coefficient of determination (R<sup>2</sup>) ranged from 0.95 to 0.99. Root mean square error (RMSE) ranged from 1.35 to 4.30. The sensor performed consistently for at least 4 months, and is suitable for continuous monitoring of in situ SM and irrigation scheduling.
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Šarapatka, B., M. Bednář, and P. Novák. "Analysis of soil degradation in the Czech Republic: GIS approach." Soil and Water Research 5, No. 3 (September 16, 2010): 108–12. http://dx.doi.org/10.17221/487-swr.

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In our work, we have evaluated the available data on the individual types of soil damage, which has been processed in the Czech Republic in recent decades. The individual types of degradation (water erosion, wind erosion, soil compaction, extreme soils (clay soils), loss of organic matter, acidification, dryness impact, and intoxication) were classified in one of three groups: physical degradation, desertification and chemical degradation. Each type of degradation was assigned a specific weight reflecting the importance of this kind of soil degradation. The maps of individual areas of degradation were processed by overlay and assigning weighting techniques in ArcView Spatial Analyst GIS environment to create the final maps for each class of the degradation threat. The same technique was used to create the final map showing the most troubled areas in the Czech Republic, threatened by soil damage.
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Ivanyuk, Halyna. "Analysis of “Systematics of Polish Soils”." Visnyk of the Lviv University. Series Geography, no. 44 (November 28, 2013): 122–32. http://dx.doi.org/10.30970/vgg.2013.44.1210.

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The “Systematics of Polish Soils” (SgP, 2011) is very close to WRB and “Soil Taxonomy”. The morphological characteristics of the soils, investigated in the field, rather than soil genesis are diagnostic criteria. The main provisions of the new “Systematics”, properties of soils of higher taxonomic levels have been reviewed. Some diagnostic horizons, which were not borrowed from other classifications, have been described. We tried to find equivalents in the Ukrainian classification for some soils names. The correlation of Poland soils and WRB has been analyzed. Key words: Systematics of Polish Soils, classification, order, soil type, diagnostic horizon, WRB.
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Michal, Dohnal, Dušek Jaromír, Vogel Tomáš, and Herza Jiří. "Analysis of Soil Water Response to Grass Transpiration." Soil and Water Research 1, No. 3 (January 7, 2013): 85–98. http://dx.doi.org/10.17221/6510-swr.

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This paper focuses on numerical modelling of soil water movement in response to the root water uptake that is driven by transpiration. The flow of water in a lysimeter, installed at a grass covered hillslope site in a small headwater catchment, is analysed by means of numerical simulation. The lysimeter system provides a well defined control volume with boundary fluxes measured and soil water pressure continuously monitored. The evapotranspiration intensity is estimated by the Penman-Monteith method and compared with the measured lysimeter soil water loss and the simulated root water uptake. Variably saturated flow of water in the lysimeter is simulated using one-dimensional dual-permeability model based on the numerical solution of the Richards&rsquo; equation. The availability of water for the root water uptake is determined by the evaluation of the plant water stress function, integrated in the soil water flow model. Different lower boundary conditions are tested to compare the soil water dynamics inside and outside the lysimeter. Special attention is paid to the possible influence of the preferential flow effects on the lysimeter soil water balance. The adopted modelling approach provides a useful and flexible framework for numerical analysis of soil water dynamics in response to the plant transpiration.
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Miltenyi, Gregory P. L., Malte C. Ebach, and John Triantafilis. "Assessing the Australian Soil Classification using cladistic analysis." Soil Research 53, no. 7 (2015): 772. http://dx.doi.org/10.1071/sr14323.

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The Australian Soil Classification (ASC) has its roots in both the Handbook of Australian Soils and the Factual Key. The scheme’s use of mutually exclusive characteristics has led to Soil Orders containing a diverse range of soils, such as the Dermosols. The extent of these groupings has resulted in classes of soils sharing greater relationships with soils from other classes than they do with soils in the same class. Situations such as this arise from artificial classifications and highlight the need for natural classifications. Natural classifications accurately represent what is occurring in nature and are desirable because they represent evidence of a common history, process or mechanism. This study uses cladistics, a robust biological method that uncovers natural classifications, to assess the naturalness of the ASC. The analysis has the secondary aims of identifying natural soil orders and establishing which characters and tiers require revision. Two measures commonly used in cladistics, consistency index (CI) and retention index (RI), are used along with confidence levels generated by bootstrapping. The cladistic analysis undertaken consisted of coding 113 morphological and non-morphological characters used to identify 13 of the 14 Soil Orders in ASC into binary and multi-state matrices and analysis using a parsimony cladistic algorithm. The results suggest that, because of its low CI (0.196), the ASC is not a natural classification. However, certain Soil Orders of Organosols, Podosls and Vertosols, which all registered high CI, are natural. The analysis also indicated which soil morphological characters and Soil Orders require revision in order to make the ASC more natural, namely, soil colour and characters located in the Great Groups as well as Soil Orders such as Chromosols, Ferrosols and Dermosols. We conclude that cladistics offers a new avenue in discerning relationships between soils and in assessing the accuracy of, and identifying where improvements can be made in, the classifications used to identify them.
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Brammer, H., Francis D. Hole, and James B. Campbell. "Soil Landscape Analysis." Geographical Journal 155, no. 1 (March 1989): 125. http://dx.doi.org/10.2307/635403.

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Koeppel, H. W. "Soil landscape analysis." Landscape and Urban Planning 13 (January 1986): 327. http://dx.doi.org/10.1016/0169-2046(86)90047-2.

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Patil, Rohit, Ashwini Biradar, and Dinesh Nalage. "Soil microbiome analysis." Microenvironment and Microecology Research 5, no. 2 (2023): 7. http://dx.doi.org/10.53388/mmr2023007.

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Janaki Rama Suresh, G., K. Sreenivas, and R. Sivasamy. "Hyperspectral analysis of clay minerals." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 443–46. http://dx.doi.org/10.5194/isprsarchives-xl-8-443-2014.

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A study was carried out by collecting soil samples from parts of Gwalior and Shivpuri district, Madhya Pradesh in order to assess the dominant clay mineral of these soils using hyperspectral data, as 0.4 to 2.5 μm spectral range provides abundant and unique information about many important earth-surface minerals. Understanding the spectral response along with the soil chemical properties can provide important clues for retrieval of mineralogical soil properties. The soil samples were collected based on stratified random sampling approach and dominant clay minerals were identified through XRD analysis. The absorption feature parameters like depth, width, area and asymmetry of the absorption peaks were derived from spectral profile of soil samples through DISPEC tool. The derived absorption feature parameters were used as inputs for modelling the dominant soil clay mineral present in the unknown samples using Random forest approach which resulted in kappa accuracy of 0.795. Besides, an attempt was made to classify the Hyperion data using Spectral Angle Mapper (SAM) algorithm with an overall accuracy of 68.43 %. Results showed that kaolinite was the dominant mineral present in the soils followed by montmorillonite in the study area.
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Dissertations / Theses on the topic "Soil analysis"

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Walworth, James. "Soil Sampling and Analysis." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2006. http://hdl.handle.net/10150/144813.

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Soil testing is comprised of four steps: Collection of a representative soil sample, laboratory analyses of the soil sample, interpretation of analytical results, and management recommendations based on interpreted analytical results.
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Walworth, J. L. "Soil Sampling and Analysis." College of Agriculture and Life Sciences, University of Arizona (Tucson, AZ), 2011. http://hdl.handle.net/10150/239610.

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Lan, Chinchun. "Analysis of soil-root interaction." Connect to resource, 1985. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1119365654.

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Khouly, Mohamed A. "Analysis of soil-reinforcement interaction /." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487863429092366.

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GALAGODA, HERATH MAHINDA. "NONLINEAR ANALYSIS OF POROUS SOIL MEDIA AND APPLICATION (PORE PRESSURE, TIME INTEGRATION, FINITE ELEMENTS)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/183913.

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The behavior of porous media subjected to any arbitrary loading is a complex phenomenon due to the coupled nature of the problem. Proper understanding of this coupled behavior is essential in dealing with many of the geotechnical engineering problems. A very general three-dimensional formulation of such a coupled problem was first reported by Biot; however, a two-dimensional idealization of the theory is used here with extension to nonlinear material behavior. A finite element computer code is developed to analyze the response of coupled systems subjected to both static and dynamic excitations. The code can also be used to solve problems involving only solid media by suppressing the presence of fluid. The generalized anisotropic hardening model is implemented into the finite element procedure to characterize nonlinear material behavior throughout the realm of its deformation process. Both drained and undrained conditions are considered in order to verify the performance of the model in capturing material behavior. Three different materials are considered for this purpose. The predictions obtained using the anisotropic model for both drained and undrained condition yield satisfactory comparison with observed behavior. The finite element procedure is verified by solving several problems involving undrained, consolidation and dynamic responses of coupled system. Good agreements are found between numerical and analytical results. Further verification of the computer code and the material model is performed by solving two boundary value problems. For this purpose, a laboratory pressuremeter test subjected to quasi-static loading condition and a building foundation system subjected to rapid earthquake excitation were analyzed. The results of this research have provided an improved understanding of coupled behavior of porous media. The procedure developed here can be effectively used under a wide range of loading conditions varying from very slow quasi-static to very rapid earthquake excitations.
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Song, Chi-Yong. "Numerical formulation for a dynamic analysis of the plastic behavior in saturated granular soils." Columbus, Ohio Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1070309764.

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Thesis (Ph. D.)--Ohio State University, 2003.
Title from first page of PDF file. Document formatted into pages; contains xix, 246 p.; also includes graphics. Includes abstract and vita. Advisor: William E. Wolfe, Dept. of Civil Engineering. Includes bibliographical references (p. 137-142).
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Hill, Brian Edward. "Soil sample handling for routine analysis of plant-available soil potassium." [Ames, Iowa : Iowa State University], 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1468092.

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Asoudeh, Atefeh. "Identifying Residual Soil Parameters for Numerical Analysis of Soil Nailed Walls." Thesis, Griffith University, 2016. http://hdl.handle.net/10072/367048.

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This thesis provides a detailed study of slope reinforcement in soil slopes using soil nails, anchors and other mechanical stabilization methods. The major emphasis is on the use of soil nails in slopes formed with mostly residual soils. A comparative study has been performed reviewing the different methods of slope stability analysis, and the shear strength parameters used in stability analyses, the soil models used in numerical analyses, residual soil profiles and their detailed engineering properties used in previous studies and various computer software which are currently in use. An important conclusion concerning previous studies on slope stabilisation is that although some of them have focused on residual soils and specifically on soil nailed walls based in residual soil, there is not enough evidence available to show the effect of different parameters including soil strength, soil stiffness and also modelling assumptions on the result of stability analysis. Therefore, following a detailed discussion of the employed procedure for selection of geotechnical properties of residual soil, selection of modelling parameters for nailed wall, soil model and geotechnical software that were used, numerical models were built to perform a parametric study for stability assessment of nailed walls in residual soils.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Grifffith School of Engineering
Science, Environment, Engineering and Technology
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Nolin, Anne Walden 1958. "CLASSIFICATION AND MAPPING OF SOILS USING A MULTISPECTRAL VIDEO SYSTEM AND COMPUTER-AIDED ANALYSIS." Thesis, The University of Arizona, 1987. http://hdl.handle.net/10150/276549.

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An airborne multispectral video system was used to collect soil spectral data over a four-square mile region in northeastern Arizona. Six multispectral video images were digitized. Using the red and blue bands of each image, an unsupervised classification was performed. Each was referenced to a digitized U.S. Soil Conservation Service map resulting in classification precisions ranging from 0-92.4 percent. Ground radiometric measurements were made to ascertain spectral separability of the soil samples. Soil color was determined to try to relate Munsell value to classification precision. Misclassification of soil map units was unrelated to soil brightness or areal extent of each soil. Rather, features such as slope, boundary complexity, and surface condition was responsible for misclassifications seen in this study. Best classification results occurred when soil mapping units were relatively homogeneous, possessed slight changes in slope, and had a regular surface with smooth and distinct boundaries.
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Al-Hussaini, Abdulrahman. "The utility of complex soil reflectance image properties for soil mapping." Thesis, Manchester Metropolitan University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299213.

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Books on the topic "Soil analysis"

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1944-, Campbell James B., ed. Soil landscape analysis. Totowa, N.J: Rowman & Allanheld, 1985.

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Sparks, Donald L., Ph. D., Soil Science Society of America., and American Society of Agronomy, eds. Methods of soil analysis. Madison, Wis: Soil Science Society of America, 1996.

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1944-, Campbell James B., ed. Soil landscape analysis. London: Routledge & Kegan Paul, 1985.

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Arnold, Klute, Campbell G. S, and Soil Science Society of America., eds. Methods of soil analysis. 2nd ed. Madison, Wis: Soil Science Society of America, 1986.

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H, Dane J., Topp G. Clarke, Campbell Gaylon S, and Soil Science Society of America., eds. Methods of soil analysis. Madison, Wis: Soil Science Society of America, 2002.

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Storer, Donald A. The chemistry of soil analysis. Middletown, OH: Terrific Science Press, 2005.

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1962-, Margesin Rosa, and Schinner Franz 1947-, eds. Manual for soil analysis: Monitoring and assessing soil bioremediation. Berlin: Springer, 2005.

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1944-, Weaver R. W., and Soil Science Society of America., eds. Methods of soil analysis. Madison, Wis., USA: Soil Science Society of America, 1994.

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1958-, Bloem Jaap, Hopkins David W. Dr, and Benedetti Anna Dr, eds. Microbiological methods for assessing soil quality. Cambridge, MA: CABI Pub., 2005.

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Soil sampling, preparation, and analysis. New York: Marcel Dekker, 1996.

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Book chapters on the topic "Soil analysis"

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Cheung, Raymond, and Ken Ho. "Design and analysis." In Soil Nailing, 88–150. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780367816261-4.

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Sudduth, Kenneth A., Hak-Jin Kim, and Peter P. Motavalli. "Soil." In Environmental Analysis by Electrochemical Sensors and Biosensors, 23–61. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0676-5_2.

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Patra, Jayanta Kumar, Gitishree Das, Swagat Kumar Das, and Hrudayanath Thatoi. "Soil Quality Analysis." In Learning Materials in Biosciences, 61–82. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6252-5_3.

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Ishikawa, Yoji, Kensei Kobayashi, and Takeshi Saito. "Martian Soil Analysis." In Chemical Evolution: Physics of the Origin and Evolution of Life, 389–95. Dordrecht: Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-1712-5_35.

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Dini-Andreote, Francisco. "Soil Microbiome Data Analysis." In Modern Soil Microbiology, 215–26. Third edition. | Boca Raton : Taylor & Francis, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429059186-13.

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Slofstra, J. G. "Rapid on-Site Analysis of Soil Contamination." In Contaminated Soil, 415–17. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-5181-5_48.

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Verruijt, Arnold. "Limit Analysis." In An Introduction to Soil Mechanics, 301–3. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61185-3_38.

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Morin, Joseph. "Rainfall Analysis." In Soil Erosion, Conservation, and Rehabilitation, 23–40. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003418177-2.

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Glässer, Cornelia, and Monika Prehn. "Methodical Experiences in Data Analysis." In Soil & Environment, 929–30. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2018-0_161.

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Strehlitz, B., H. Kotte, K. Ethner, U. Stottmeister, and B. Gründig. "Amperometric Biosensor for Nitrate Analysis." In Soil & Environment, 993–94. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-2018-0_193.

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Conference papers on the topic "Soil analysis"

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Muraru, Sebastian-Lucian, Vergil Muraru, Paula Condruz, Cornelia Muraru-Ionel, and Raluca Sfiru. "Soil Spectral Analysis." In 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). IEEE, 2021. http://dx.doi.org/10.1109/ecai52376.2021.9515028.

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Rybansky, Marian. "Soil trafficability analysis." In 2015 International Conference on Military Technologies (ICMT). IEEE, 2015. http://dx.doi.org/10.1109/miltechs.2015.7153728.

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Guarnieri, Adriano, and Giulio Lorenzini. "A Soil-Fluiddynamics Analysis of a Swelling-Shrinking Process in a Clayey Soil." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95521.

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Most soils show a swelling behaviour depending on their water content: this property can strongly affect the effectiveness of agriculture. Because of the importance of the topic, this paper is aimed at investigating a given vertisol in terms of swelling and shrinkage with variations in its humidity. For this, a suitable experimental setup was realised, tested and used allowing the study of the effect that the soil-fluiddynamics parameters have on the process. The results showed that swelling is more evident at lower water content values. Also relevant the initial compaction of the soil, that proved to increase the percentage swelling especially at low humidities. A hypothesis concerning the effect on swelling of the solid apparent volumic mass associated to the initial humidity is also formulated, even if more related research on this issue is necessary.
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Evgin, E., and Z. Fu. "Numerical Analysis of Soil Response to Ice Scouring." In ASME 2008 27th International Conference on Offshore Mechanics and Arctic Engineering. ASMEDC, 2008. http://dx.doi.org/10.1115/omae2008-57293.

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Icebergs and ice ridges frequently scour the surface of seabed deposits. Ice scouring can be problematic for offshore pipelines and other seabed installations. In order to reduce the risk of failure, pipelines are buried in the seabed. However, a stationary or moving ice feature could cause a significant increase in stresses and deformation in the seabed soil deposits below the contact surface between the soil and the ice, and consequently, might result in structural failure of buried pipeline. Safe burial depth for pipelines has been the subject of both experimental and numerical studies. In this paper, two and three dimensional analyses are conducted using PLAXIS and ADINA. In these analyses, geometric and material nonlinearities are considered. In order to establish the validity of the finite element calculations, the experimental results reported in the literature and the numerical results obtained in the present study are compared. The emphasis is placed on determining the importance of (1) using interface elements between different materials such as soil and ice, soil and pipelines; (2) using the soil model correctly, and (3) using a three dimensional analysis rather than a two dimensional analysis. The changes taking placed in the deformation pattern and the stress states in the seabed soils resulting from ice scouring are determined. The effects of pipeline burial depth, the shape of the ice feature, and the characteristics of seabed soils on the stresses acting on the pipeline are evaluated.
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Ladvenicová, Jana. "Soil Market and Soil Fund Analysis in Slovakia." In International Scientific Days 2022. Slovak University of Agriculture in Nitra, Slovakia, 2022. http://dx.doi.org/10.15414/isd2022.s2.04.

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Rawat, Pankaj, and Kaustav Chatterjee. "Seismic Stability Analysis of Soil Slopes Using Soil Nails." In Geotechnical Earthquake Engineering and Soil Dynamics V. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481486.009.

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Anderson, L. M., A. Kottke, and M. McHood. "Using 2D Analyses to Augment Probabilistic 1D Site Response Analysis." In Geotechnical Earthquake Engineering and Soil Dynamics V. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481462.020.

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Burkov, P., Wu Chun, V. Burkov, and S. Burkova. "FEM analysis of soil-pipe interaction." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992710.

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Grigorova-Pesheva, Bilyana, Biser Hristov, and Kameliya Petrova. "ANALYSIS OF THE MICROBIOLOGICAL CHARACTERISTICS OF THE DIFFERENT SOIL HORIZONS OF FOREST SOILS FROM THE TERRITORY OF VITOSHA NATURE PARK." In 22nd SGEM International Multidisciplinary Scientific GeoConference 2022. STEF92 Technology, 2022. http://dx.doi.org/10.5593/sgem2022/3.1/s14.41.

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The status, abundance and diversity of soil microbial communities are one of the main basic indicators for the assessment and monitoring of forest ecosystems. In the context of the important role that microorganisms play in forest ecosystems, it is crucial to study and monitor their abundance in soil habitats. In order to supplement the knowledge about the soil microbial communities in the different soil horizons, we studied 16 soil profiles from the territory of Vitosha Nature Park. The soils from tested areas 1-8 are determined as Dystric Cambisols and the soils form tested areas 9-16 as Umbrisols. The main soil characteristics: pH, total nitrogen content, humus and organic carbon content have been studied using standard laboratory analyses. The total microbial number of the individual soil horizons have been established respectively for the Dystric Cambisols A and B horizons, for the Umbrisols A1 and A horizons. The Koch method was used. The percentage distribution of the main microbial groups: spore-forming and non-sporeforming microorganisms, actinomycetes and micromycetes have been determined. For all studied soils, a decrease in the total microflora with an increase in the depth of the soil profile was found. In Umbrisols this decrease is less compared to Dystric Cambisols. In both soil types, the results show a significant reduction in the group of micromycetes in the underlying soil horizon, regardless of soil type. In soils with higher acidity, a higher percentage of the micromycetes is observed, regardless of soil type and soil horizon. Higher values of the correlation coefficient were found when comparing the microbial abundance in the lower soil horizons with the humus content, compared to the upper soil horizons.
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Hong, Dae-Seok, Jong-Sik Shon, Tae-Kuk Kim, and Han-Seok Cho. "Development of the Analysis Method for the Radioactivity Concentration Estimation of Soils for a Regulatory Clearance." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89443.

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In this study, for the analysis of a radioactivity concentration of soil, a sampling and an analyzing method were developed. To create homogeneity of the contents for each drum, big particles such as pebbles, rocks and scraps of concrete were removed after pouring the soil into a tray. And then the soil in the tray was mixed thoroughly. A 10 × 10 grid was used to partition the soil into 100 sections. 2 liter of soil was sampled out of 30 randomly pre-selected sections. Only 1 liter of the soil out of 2 liters was used for the γ-spectrometry analysis. The remaining 1 liter of soil was stored for a validation purpose. For a verification of the sampling process, 3 samples were taken from each drum and analyzed. 5 drums were used for the verification. And the results show that this sampling method has about a 9% sampling error. Also, the analysis results of the 865 drums of soil showed that the major nuclides in the soils were Co-60 and Cs-137 while a small amount of Mn-54, Fe-59, I-131, Cs-134 and Eu-152 were detected as γ-emitters. About 73% of the soils had a total radioactivity concentration below 0.1 Bq/g, while the soils with more than 0.4 Bq/g of a radioactivity concentration were only 3%. Based on the guide for the regulatory clearance criteria recommended by the IAEA (International Atomic Energy Agency), about 73% of the soils can be regulatory cleared without any treatment. Also, the remaining soils can be regulatory cleared after a further storage. Only 3% of the soils are considered to be necessary for a decontamination treatment. The results of this study can be applied to the treatment of radioactive soils generated in a large amount during the decommissioning of a nuclear facility.
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Reports on the topic "Soil analysis"

1

Drumm, E. C. Soil mechanics and analysis of soils overlying cavitose bedrock. Office of Scientific and Technical Information (OSTI), August 1987. http://dx.doi.org/10.2172/5998770.

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Knight, K. B., Z. Dai, L. Davidson, G. Eppich, R. Lindvall, T. Parsons-Davis, C. Ramon, et al. Collaborative, Nondestructive Analysis of Contaminated Soil. Office of Scientific and Technical Information (OSTI), December 2017. http://dx.doi.org/10.2172/1416508.

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3

Liu and Nixon. L52305 Probabilistic Analysis of Pipeline Uplift Resistance. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2010. http://dx.doi.org/10.55274/r0000002.

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To investigate the feasibility of probabilistic analyses of the peak uplift resistance in frozen soils by varying parameters that are known to be important for the development of the uplift resistance under the upward movement of a pipe. A buried pipeline will be subjected to a variety of forces, both internal and external, including the interaction of the pipe with the surrounding soil. The soil-pipe interaction in permafrost regions have to account for the behavior of frozen and unfrozen soil, and transitions between the two as the pipeline traverses in a discontinuous permafrost zone. The variations in the properties and behavior of frozen soils are expected to be substantial in three dimensions of the Right-of-Way (ROW) and with time (seasonal fluctuations and changes with the history of pipeline operation). Given the uncertainties with frozen soil properties and the changes in behavior with time and location, a large variation in soil-pipe interaction characteristics can exist. The uplift resistance of a pipeline is one of these soil-pipe interactions that can be impacted by a variation in soil condition and state. A need was identified to outline the use of a probabilistic analysis of pipe uplift resistance in an attempt to capture the magnitude of these variations and uncertainties of frozen soil and the impact on the soil-pipe interaction. The probabilistic analysis allows the designer of a pipeline to consider a range of uplift resistance to a certain confidence level that would represent the likely values that a pipe may be subjected to. The work presented in this report is more focused on the methodology of the probabilistic approach, rather than the analysis itself for a specific design case, even though an example is provided for illustration purposes. A series of numerical simulations using Fast Lagrangian Analysis of Continua (FLAC) were completed varying one parameter with each run to develop a library of peak uplift resistances for a variety of different temperatures, soil properties and pipe parameters. The FLAC model was previously developed for PRC, a summary of this report is provided here to outline important parameters that were used to complete this analysis. The simulations were used to develop a correlation of peak uplift resistance as a function of soil tensile strain limit, modulus of deformation, and creep of frozen soils. Each of these parameters is dependent of the pipeline conditions such as temperature, displacement rate, and effective frozen cover depth. It is noted that the scope of the work was to develop a probabilistic method of estimating peak uplift resistance in frozen soils. Even though some sensitivity analysis were carried out, as outlined later in this report, to assess the impacts of the variable, detailed uncertainty analysis or risk assessment were not performed.
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Fuhrmann, M., H. Zhou, B. Patel, B. Bowerman, and J. Brower. Radionuclide contaminated soil: Laboratory study and economic analysis of soil washing. Final report. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/418442.

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Shoop, Sally, Samuel Beal, Wendy Wieder, and Eric McDonald. Soil strength analysis of Sonoran Desert landforms. Engineer Research and Development Center (U.S.), September 2018. http://dx.doi.org/10.21079/11681/29266.

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Ahlers, J. D. ,. Westinghouse Hanford. Tank farm backlog soil sample analysis plan. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/657834.

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Schaffer, C. L. Analysis of soil and water for TATB content. Office of Scientific and Technical Information (OSTI), November 1992. http://dx.doi.org/10.2172/10138438.

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Allan, M. L., and L. E. Kukacka. Analysis of core samples from jet grouted soil. Office of Scientific and Technical Information (OSTI), October 1995. http://dx.doi.org/10.2172/188527.

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Sopher, Ariana M., Sally A. Shoop, Jesse Jr M. Stanley, and Brian T. Tracy. Image Analysis and Classification Based on Soil Strength. Fort Belvoir, VA: Defense Technical Information Center, August 2016. http://dx.doi.org/10.21236/ad1014532.

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Hamdhan, Indra Noer, and Helmut F. Schweiger. Slope Stability Analysis of Unsaturated Soil with Fully Coupled Flow-Deformation Analysis. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0063.

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