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Letteratura scientifica selezionata sul tema "Soils, Salts in – Mathematical models"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 6 febbraio 2022

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Articoli di riviste sul tema "Soils, Salts in – Mathematical models"

1

Belik, Aleksandra A., Anna A. Kokoreva, Andrei G. Bolotov, et al. "Characterizing macropore structure of agrosoddy-podzolic soil using computed tomography." Open Agriculture 5, no. 1 (2020): 888–97. http://dx.doi.org/10.1515/opag-2020-0080.

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AbstractThe agrosoddy-podzolic soil (Eutric Albic Glossic Retisol (Abruptic, Loamic, Aric, Cutanic)) is typical for Moscow Oblast and is used for agricultural purposes, resulting in use of various agrochemicals and pesticides. The presence of macropores and cracks in such soils leads to preferential water and substance transfer and nonequilibrium conditions. Therefore, it is important to study the numerical characteristics of the pore space of soils to adjust mathematical models of substance transfer. Undisturbed soil monoliths 10 cm in diameter taken from Ap (from 0 to 30 cm) and E, BE horizo

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2

Belik, Aleksandra A., Anna A. Kokoreva, Andrei G. Bolotov, et al. "Characterizing macropore structure of agrosoddy-podzolic soil using computed tomography." Open Agriculture 5, no. 1 (2020): 888–97. http://dx.doi.org/10.1515/opag-2020-0080.

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Abstract The agrosoddy-podzolic soil (Eutric Albic Glossic Retisol (Abruptic, Loamic, Aric, Cutanic)) is typical for Moscow Oblast and is used for agricultural purposes, resulting in use of various agrochemicals and pesticides. The presence of macropores and cracks in such soils leads to preferential water and substance transfer and nonequilibrium conditions. Therefore, it is important to study the numerical characteristics of the pore space of soils to adjust mathematical models of substance transfer. Undisturbed soil monoliths 10 cm in diameter taken from Ap (from 0 to 30 cm) and E, BE horiz

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3

Kozhushko, Olena, and Petro Martyniuk. "Spreading of chemical substance after its accidental spillage onto the soil surface under unsaturated conditions and variable porosity." Modeling, Control and Information Technologies, no. 3 (November 5, 2019): 41–44. http://dx.doi.org/10.31713/mcit.2019.27.

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In this paper we study a mathematical model of soil moisture transport with variable porosity. The problem is set for the case of highly concentrated solute spilled onto soil surface. We investigate the way solute transfer, adsorption of contaminant by soil particles and variable porosity influence infiltration of solute into the soil profile. For that purpose, two models are used: a classical one and the one with consideration of mentioned factors. By comparing the results of both models, we established that high concentration of solute causes moisture transport to transpire more slowly, and

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4

Barone, F. S., E. K. Yanful, R. M. Quigley, and R. K. Rowe. "Effect of multiple contaminant migration on diffusion and adsorption of some domestic waste contaminants in a natural clayey soil." Canadian Geotechnical Journal 26, no. 2 (1989): 189–98. http://dx.doi.org/10.1139/t89-028.

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This paper describes laboratory model tests involving the placement of domestic landfill leachate on top of a layer of saturated undisturbed clayey soil and allowing chemical constituents to migrate into the soil by diffusion only. During the testing period (15 days), samples from the overlying leachate were regularly collected and analyzed for the chemical constituents of interest (i.e., Cl−, Na+, K+, Mg++, and Ca++). At the end of the test, the soil layer was sectioned to determine the pore-water and adsorbed concentration variations with depth for each species. Mathematical model POLLUTE wa

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5

Khitrov, Egor, Aleksandr Andronov, Anna Khakhina, and Gleb Grigorev. "Mathematical models of machine movers’ interaction with soils." Resources and Technology 17, no. 4 (2020): 15–64. http://dx.doi.org/10.15393/j2.art.2020.5422.

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6

Havlin, J. L., D. G. Westfall, and S. R. Olsen. "Mathematical Models for Potassium Release Kinetics in Calcareous Soils." Soil Science Society of America Journal 49, no. 2 (1985): 371–76. http://dx.doi.org/10.2136/sssaj1985.03615995004900020020x.

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Ismayilov, Amin, and Fariz Mikailsoy. "Mathematical models of fertility for the soils of Azerbaijan." EURASIAN JOURNAL OF SOIL SCIENCE (EJSS) 4, no. 2 (2015): 118. http://dx.doi.org/10.18393/ejss.89702.

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8

Lee, Kyo Suk, Dong Sung Lee, Jae Bong Lee, Rhee Na Joo, Myong Yun Lee, and Doug Young Chung. "Mathematical Models of Competitive Adsorption of Inorganic Anions in Soils." Korean Journal of Soil Science and Fertilizer 48, no. 6 (2015): 666–70. http://dx.doi.org/10.7745/kjssf.2015.48.6.666.

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Wilson, David J., and Kanji Tamamushi. "Low-Temperature Thermal Treatment of Contaminated Soils: Simple Mathematical Models." Separation Science and Technology 28, no. 15-16 (1993): 2351–75. http://dx.doi.org/10.1080/01496399308019742.

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10

Esmaeelnejad, Leila, Fatemeh Siavashi, Javad Seyedmohammadi, and Mahmood Shabanpour. "The best mathematical models describing particle size distribution of soils." Modeling Earth Systems and Environment 2, no. 4 (2016): 1–11. http://dx.doi.org/10.1007/s40808-016-0220-9.

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Tesi sul tema "Soils, Salts in – Mathematical models"

1

Hagi-Bishow, Mohamed. "Assessment of LEACHM-C model for semi-arid saline irrigation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0007/MQ44178.pdf.

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Ahmad, Faheem. "Numerical modelling of transport of pollutant through soils." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-08182009-040239/.

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Richard, Paul François. "A computer analysis of the flow of water and nutrients in agricultural soils as affected by subsurface drainage." Thesis, University of British Columbia, 1988. http://hdl.handle.net/2429/29171.

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A computer model was developed in order to determine the effects of drainage practices on nutrient losses from level agricultural soils. The model performs a daily simulation of the vertical flow of water, nitrogen, phosphorus, and heat, and of the growth of crops. A water flow submodel calculates the depth of the water table based on daily predictions of evaporation, transpiration, flow to drains and ditches, and deep percolation. An original saturated-unsaturated flow algorithm is used to determine moisture infiltration, redistribution, and upward flow in the soil matrix, as well as bypassi

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4

Galadima, A., and J. C. Silvertooth. "Mathematical Models of Potassium Release Kinetics for Sonoran Desert Soils of Arizona." College of Agriculture, University of Arizona (Tucson, AZ), 1998. http://hdl.handle.net/10150/210381.

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The objective of this study was to determine the potassium (K) release kinetics of clay samples from 10 agricultural representative soils of Arizona by successive extraction using Ca-saturated cation resin. A 1993 physical and chemical characterization of the soils revealed that all soils contain smectite-mica K bearing minerals. Four mathematical models (power function, Elovich, parabolic diffusion and first-order) were used to describe the nonexchangeable K release reaction involving 700-hr cumulative reaction time. Comparison of the models using the coefficient of determination (r²) and the

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Dang, Hoang Kien 1981. "The application of a multilaminate model to simulate tunnelling in structured clays : a dissertation." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99755.

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Due to the complex characteristics of tunneling problems, tunneling engineering is perhaps one of the areas in which numerical methods are more frequently adopted in practice. One important application is to examine the influence of an excavation and construction procedures on the stress distribution and deformation in the ground surrounding the opening and on the tunnel lining. Another important aspect of tunneling problems that can be accounted for in a numerical analysis is the complex geometry associated with typical applications. This is not only related to the shape of the opening, but a

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6

SOMASUNDARAM, SUJITHAN. "CONSTITUTIVE MODELLING FOR ANISOTROPIC HARDENING BEHAVIOR WITH APPLICATIONS TO COHESIONLESS SOILS (INDUCED, KINEMATIC, NON-ASSOCIATIVENESS)." Diss., The University of Arizona, 1986. http://hdl.handle.net/10150/188165.

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A constitutive model based on rate-independent elastoplasticity concepts is developed to simulate the behavior of geologic materials under arbitrary three-dimensional stress paths, stress reversals and cyclic loading. The model accounts for the various factors such as friction, stress path, stress history, induced anisotropy and initial anisotropy that influence the behavior of geologic materials. A hierarchical approach is adapted whereby models of progressively increasing sophistication are developed from a basic isotropic-hardening associative model. The influence of the above factors is ca

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PERES, ANA C. "Modelo para o estabelecimento de valores orientadores para elementos radioativos no solo." reponame:Repositório Institucional do IPEN, 2007. http://repositorio.ipen.br:8080/xmlui/handle/123456789/11591.

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Made available in DSpace on 2014-10-09T12:53:36Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T14:08:08Z (GMT). No. of bitstreams: 0<br>Tese (Doutoramento)<br>IPEN/T<br>Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP

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王偉洪 and Wai-hung Wong. "A study of constitutive models on engineering properties of Hong Kong marine clay." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1997. http://hub.hku.hk/bib/B31214745.

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Uchaipichat, Anuchit Civil &amp Environmental Engineering Faculty of Engineering UNSW. "Experimental investigation and constitutive modelling of thermo-hydro-mechanical coupling in unsaturated soils." Awarded by:University of New South Wales. School of Civil and Environmental Engineering, 2005. http://handle.unsw.edu.au/1959.4/22068.

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A thermo-elastic-plastic model for unsaturated soils has been presented based on the effective stress principle considering the thermo-mechanical and suction coupling effects. The thermo-elastic-plastic constitutive equations for stress-strain relations of the solid skeleton and changes in fluid content and entropy for unsaturated soils have been established. A plasticity model is derived from energy considerations. The model derived covers both associative and non-associative flow behaviours and the modified Cam-Clay is considered as a special case. All model coefficients are identified in te

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Taillon, Kate. "Modeling surface complexation relationships in forest and agricultural soil." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82435.

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The adsorption behaviour of trace metals in soil may provide us with a way to more accurately predict and assess the toxicity of metals in the environment. This thesis reports efforts to apply surface complexation modeling to agricultural and forest soil and to relate model parameters to common soil properties. This study considered Ca, Cd, Cu, Pb and Zn but the methods here could be applied to other metals. In Chapter 2, the surface charge and adsorption behaviour of a set of Ap horizons was characterised using back-titration and batch adsorption techniques. With the objective of simpl

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Più fonti

Libri sul tema "Soils, Salts in – Mathematical models"

1

Mauger, G. Modelling dryland salinity with the M.A.G.I.C. system. Water and Rivers Commission, 1996.

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2

Zuo wu shui yan lian he xie po xiao ying yu shui fen gao xiao li yong yan jiu. Zhong guo shui li shui dian chu ban she, 2009.

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3

Sorokina, G. V. Engineering properties of weak soils at foundations of buildings. A.A. Balkema, 1995.

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4

Groen, Arend Erik. Three-dimensional elasto-plastic analysis of soils. Delft University Press, 1997.

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5

Hui, Wang, and Guo Tailong, eds. Huang tu po mian tu rang rong zhi shui di biao jing liu qian yi te zheng yu shu zi mo xing. Ke xue chu ban she, 2010.

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6

Khan, Muhammad Akram. Nitrogen transformations in soils: Experimental and mathematical considerations for computer modeling. HITAHR, College of Tropical Agriculture and Human Resources, University of Hawaii, 1986.

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7

International Workshop on Constitutive Equations for Granular Non- cohesive Soils (1987 Cleveland, Ohio). Constitutive equations for granular non-cohesive soils: Proceedings of the International Workshop on Constitutive Equations for Granular Non-cohesive Soils, Cleveland, 22-24 July 1987. A.A. Balkema, 1989.

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8

International Conference "From Experimental Evidence Towards Numerical Modeling of Unsaturated Soils" (2003 Weimar, Germany). Unsaturated soils: Proceedings of the International Conference "From Experimental Evidence towards Numerical Modeling of Unsaturated Soils", Weimar, Germany, September 18-19, 2003. Springer, 2005.

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9

G, Bazhenov V. Matematicheskoe modelirovanie nestat︠s︡ionarnykh prot︠s︡essov udara i pronikanii︠a︡ osesimmetrichnykh tel i identifikat︠s︡ii︠a︡ svoĭstv gruntovykh sred. Fizmatlit, 2011.

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S, Orlov D., ed. Matematicheskie modeli fiziko-khimicheskikh prot͡s︡essov v pochvakh. "Nauka", 1990.

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Capitoli di libri sul tema "Soils, Salts in – Mathematical models"

1

García-Rojo, R., S. McNamara, and H. J. Herrmann. "Influence of Contact Modelling on the Macroscopic Plastic Response of Granular Soils Under Cyclic Loading." In Mathematical Models of Granular Matter. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78277-3_6.

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2

Katti, R. K., K. K. Moza, and Dinesh R. Katti. "Mathematical models for saturated expansive soils with and without CNS." In Environmental Geotechnics and Problematic Soils and Rocks. CRC Press, 2021. http://dx.doi.org/10.1201/9781003211051-48.

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3

Pastor, M., P. Mira, and J. A. Fernández Merodo. "Mathematical Models for Transient, Dynamic and Cyclic Problems in Geotechnical Engineering." In Mechanical Behaviour of Soils Under Environmentally Induced Cyclic Loads. Springer Vienna, 2012. http://dx.doi.org/10.1007/978-3-7091-1068-3_4.

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4

Piver, W. T., and F. T. Lindstrom. "Mathematical Models for Describing Transport in the Unsaturated Zone of Soils." In Water Pollution. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-540-46685-7_4.

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5

"Mathematical Characteristics of Models." In Books in Soils, Plants, and the Environment. CRC Press, 2002. http://dx.doi.org/10.1201/9780203909225.ch4.

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"Nonlinear Regression for Mathematical Models." In Books in Soils, Plants, and the Environment. CRC Press, 2002. http://dx.doi.org/10.1201/9780203909225.ch6.

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7

Laloui, L., L. Vulliet, and A. Koliji. "Mathematical analysis of the hydric behaviour of structured soils." In Numerical Models in Geomechanics. Taylor & Francis, 2004. http://dx.doi.org/10.1201/9781439833780.ch5.

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Wang, J. H. "Lime Potential." In Chemistry of Variable Charge Soils. Oxford University Press, 1997. http://dx.doi.org/10.1093/oso/9780195097450.003.0015.

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The properties of hydrogen and aluminum ions have been examined in Chapters 10 and 11. These two ion species are ions that directly induce the acid reaction in soils. In soils devoid of soluble salts, the content of cations is constant and the negative surface charges are saturated by, besides hydrogen and aluminum ions, alkali metal and alkaline earth metal ions. These ions are called base ions. The acidity of a soil is determined chiefly by the ratio of the quantity of hydrogen and aluminum ions to that of base ions. Among these base ions, calcium ions occupy the most important position, because they generally account for 65-80% of the total amount of base ions in variable charge soils. Therefore, calcium is an ion species closely related to the acidity of soils. In addition to the parameter pH that directly reflects the concentration of hydrogen ions, one other desirable way is to find a parameter that can reflect the ratio of the hydrogen ions to the calcium ions. This parameter is the lime potential. Since the introduction of the concept of lime potential 40 years ago, little practical application has been made in soil science, although some further theoretical considerations were advanced in the 1950s and the 1960s. Actually, as shall be seen in this chapter, for strongly acid soils, such as variable charge soils, because the quantity of hydrogen ions is too high and at the same time the quantity of calcium ions is too low, lime potential that can reflect the relative ratio of these two ion species is of significance not only in theory but also in practice. The mathematical expression of lime potential is pH-0.5pCa. Lime potential is a simple function of the chemical potential of calcium hydroxide, lime. Hence it may be called lime potential. The physical meaning of pH-0.5pCa can be derived as follows.

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"Effect of Dry-Zone Formation around Underground Power Cables on Their Ratings." In Advances in Computer and Electrical Engineering. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-6509-5.ch009.

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Current ratings of buried cables are determined by the characteristics of surrounding soils and cable properties as given in IEC 60287-1-3 (1982). In this standard the soil thermal resistivity of the surrounding soil is supposed to be varies from 0.5 oC m/w to 1.2 oC m/w but under loading the heat dissipated from underground power cables increases the soil thermal resistivity and this may leads to cable thermal failure and thermal instability of the soil around the underground cables. For this reason de-rating factors for cable loading taking the dry zone formation into consideration has to be considered during distribution cable network design. Several approaches have been adopted to establish current ratings of buried cables based on constant values of soil thermal conductivities. Mathematical models are suggested by many researches to study the drying out phenomenon around underground power cables. In this chapter de-rating factor for underground power cables taking dry zone formation into account is calculated depending on IEC 60287-1-3 (1982). This chapter also contains an experimental work carried out on different types of soils to investigate the formation of dry zone phenomena under loading by heat source simulates the underground cables.

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Berner, Robert A. "Atmospheric Carbon Dioxide over Phanerozoic Time." In The Phanerozoic Carbon Cycle. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780195173338.003.0007.

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In this chapter the methods and results of modeling the long-term carbon cycle are presented in terms of predictions of past levels of atmospheric CO2. The modeling results are then compared with independent determinations of paleo-CO2 by means of a variety of different methods. Results indicate that there is reasonable agreement between methods as to the general trend of CO2 over Phanerozoic time. Values of fluxes in the long-term carbon cycle can be calculated from the fundamental equations for total carbon and 13C mass balance that are stated in the introduction and are repeated here: . . . dMc/dt = Fwc + Fwg + Fmc + Fmg – Fbc – Fbg (1.10) . . . . . . d(δcMc)/dt = δwcFwc + δwgFwg + δmcFmc + δmgFmg – δbcFbc – δbgFbg (1.11) . . . where Mc = mass of carbon in the surficial system consisting of the atmosphere, oceans, biosphere, and soils Fwc = flux from weathering of Ca and Mg carbonates Fwg = flux from weathering of sedimentary organic matter Fmc = degassing flux for carbonates from volcanism, metamorphism, and diagenesis Fmg = degassing flux for organic matter from volcanism, metamorphism, and diagenesis Fbc = burial flux of carbonates in sediments Fbg = burial flux of organic matter in sediments δ = [(13C/12C)/(13C/12C)stnd – 1]1000. Variants of equations (1.10) and (1.11) have been treated in terms of non–steady-state modeling (e.g., Berner et al., 1983; Wallmann, 2001; Hansen and Wallmann, 2003; Mackenzie et al., 2003; Bergman et al., 2003), where the evolution of both oceanic and atmospheric composition, including Ca, Mg, and other elements in seawater, is tracked over time. However, since the purpose of this book is to discuss the carbon cycle with respect to CO2 and O2, and so as not to overburden the reader with too many mathematical expressions, I discuss only those aspects of the non–steady-state models that directly impact carbon. These are combined with results from steady-state strictly carbon-cycle modeling (Garrels and Lerman, 1984; Berner, 1991, 1994; Kump and Arthur, 1997; Francois and Godderis, 1998; Tajika, 1998; Berner and Kothavala, 2001; Kashiwagi and Shikazono, 2002).

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Atti di convegni sul tema "Soils, Salts in – Mathematical models"

1

Vlasyuk, Anatoliy, Tetiana Tsvetkova, Pawel Falat, Aleksandra Klos-Witkowska, and Kornel Warwas. "Mathematical modelling of infiltration effect on process of salts transfer in layered saturated-non-saturated soils." In 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2017. http://dx.doi.org/10.1109/idaacs.2017.8095100.

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2

Rivetti, Marianna Luna Sousa, and Luiza Santos Giron Margalho. "A REVIEW OF MATHEMATICAL MODELS FOR PERFORMANCE PREDICTION OF FLEXIBLE PAVING ON EXPANSIVE SOILS." In VI Simpósio Internacional de Inovação e Tecnologia. Editora Blucher, 2020. http://dx.doi.org/10.5151/siintec2020-areview.

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Prostomolotov, Anatoliy, and Natalia Verezub. "HYDRODYNAMICS AND MASS TRANSFER IN SPECIAL CRYSTALLIZER DESIGNS." In Mathematical modeling in materials science of electronic component. LLC MAKS Press, 2020. http://dx.doi.org/10.29003/m1524.mmmsec-2020/78-82.

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Two variants of the crystallizer are considered: in the first, the solution is supplied to the central crystal part, in the second, there is a peripheral solution supply along the crystallizer perimeter, what provides creating its swirling flow. The calculation models corresponded to the laminar and turbulent regimes of the solution flow during the mixed KCNSH crystal growth from a mixture of two water-salt solutions (cobalt KCSH and nickel KNSH salts).

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Luo, Albert C. J., Mohammad Dehghani, and Hamid R. Hamidzadeh. "Vibration of Soils and Foundations: Literature Review." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81506.

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Research on vibration of soils and foundations has yielded several fundamental methods for formulation of interaction problems. This paper is intended to survey the development of the current state-of-practice for design and analysis of dynamically loaded foundations. Extensive studies in this field utilize various linear mathematical models for interaction between foundations and different soil media. The effective analytical, numerical and experimental techniques and their methodologies which are well established for treating problems in dynamic soil-foundation interaction are outlined. Desc

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5

El-Drieny, S. A., I. A. Metwally, and M. M. El-Saadawi. "Influence of Driven Rods on Performance of Grounding Grids in Stratified Soils." In International Joint Power Generation Conference collocated with TurboExpo 2003. ASMEDC, 2003. http://dx.doi.org/10.1115/ijpgc2003-40115.

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The variation in soil structure has a great influence on the grounding grid performance. This influence can be measured in terms of ground resistance, touch and step potentials. This paper presents a comprehensive experimental study for the influence of adding driven rods on the performance of grounding grids. The study is applied on three constructed scale models. The models have been performed to simulate a single-, double- and triple-layer soils. A comparison between results obtained experimentally and that computed by mathematical equations is introduced.

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Ojovan, Michael I., Natalia V. Ojóvan, Irene V. Startceva, Zoja I. Golubeva, and Alexander S. Barinov. "Modelling of the Waste Form Behaviour in a Wet Near-Surface Repository Site Over Extended Time Periods." In ASME 2001 8th International Conference on Radioactive Waste Management and Environmental Remediation. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/icem2001-1291.

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Abstract A mathematical model was used to predict radionuclide release from bitumen and glass waste forms over extended time periods. To calculate some model parameters, we used experimental data derived from 12yr field tests with six borosilicate waste glass blocks (each ∼30 kg in weight) and a bitumen block (310 kg), containing real intermediate-level NPP operational waste (NaNO3, 86 wt.% of a dry salt content; 137Cs, 82% of the radioactive inventory). Specific radioactivities of the glass material containing 35 wt.% waste oxides were βtot(90Sr+90Y), 3.74×106 Bq/kg, and αtot(239Pu), 1.3×104B

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