1. bookVolume 13 (2012): Issue 1 (March 2012)
Journal Details
License
Format
Journal
eISSN
1407-6179
ISSN
1407-6160
First Published
20 Mar 2000
Publication timeframe
4 times per year
Languages
English
Open Access

Complex Mathematical Models for Analysis, Evaluation and Prediction of Aqueous and Atmospheric Environment of Latvia

Published Online: 20 Mar 2012
Volume & Issue: Volume 13 (2012) - Issue 1 (March 2012)
Page range: 57 - 74
Journal Details
License
Format
Journal
eISSN
1407-6179
ISSN
1407-6160
First Published
20 Mar 2000
Publication timeframe
4 times per year
Languages
English

Marchuk, G. I. (1982). Mathematical modelling in environmental problem. Moscow: Science.Search in Google Scholar

Marchuk, G. I. and Kondratyev, K. Y. (1992). Priorities of global ecology. Moscow: Science.Search in Google Scholar

Marchuk, G. I. (1973). Numerical solution of atmospheric and ocean dynamics problems. Moscow: Science.Search in Google Scholar

Jennifers, J. (1981). Introduction to system analysis: application for ecology. Moscow: World.Search in Google Scholar

Alekseyev, V. V., Kiselyeva, S. V., Lappo, S. S. (2005). Laboratory models of physical processes. Moscow: Science.Search in Google Scholar

Serdiutskaya, L. F. (2000). Study of mathematical models of environmental systems using multivariate factor analysis. International Journal on Engineering Simulation, 17, 417-428. ISSN 1468-1137.Search in Google Scholar

Sjoberg, S. (1980). A mathematical and conceptual framework for models of the pelagic ecosystems of the Baltic Sea. Contributions from the Asko Laboratory (No 1). Stockholm: University of Stockholm.Search in Google Scholar

Bolin, B. (1972). Model studies of the Baltic Sea: Ambio Special Report. Stockholm: Institute of Meteorology, University of Stockholm. (Report GH-4, No 1)Search in Google Scholar

Venkatram, A., Wyngaard, J. C. (1988). Lectures on Air Pollution Modeling. Boston: American Meteorological Society.10.1007/978-1-935704-16-4Search in Google Scholar

Barabasheva, Yu. M., Brodsky, L. I., Devyatkova, G. I. (1987). About evaluation of parameters in the point model of aquatic ecosystem: Theoretical ecology. Moscow: Lomonosov Moscow State University Publishing.Search in Google Scholar

Penenko, V. V., Aloyan, A. E. (1985). Models and methods for the problems of environmental protection. Moscow: Science.Search in Google Scholar

Guseynov, Sh. E., Kopytov, E. A., Schiptsov, O. V. (2010). Mathematical models of an exhaust concentration dynamics in urban atmosphere: Monograph. Riga: Transport and Telecommunication Institute.Search in Google Scholar

Guseynov, Sh. E., Solovyov, Y. O., Schiptsov, O. V. (2010). Construction and investigation of one continuous nonstationary 3D mathematical model for monitoring of noise pollution in the area surrounding an airport. Transport and Telecommunication, 11(3), 4-14.Search in Google Scholar

Guseynov, Sh. E., Kopytov, E. A., Grishin, S., Schiptsov, O. V., Rimshans, J. S. (2010). Mathematical model for determination of exhaust concentration dynamics in urban atmosphere under unknown turbulent air flow velocity. Technika, Eksploatacija, Systemy Transportowe, 6, 7. Retrieved December 22, 2011, from http://autobusy-test.com.pl/pdf/GUSEYNOV%20Sharif%20et%20al.pdfSearch in Google Scholar

Grishin, S., Rimshans, J. S., Kopytov, E. A., Guseynov, Sh. E., Schiptsov O. V. (2010). Timedependent problem for determination of exhaust concentration in urban transport system. Technika, Eksploatacija, Systemy Transportowe, 6, 10. Retrieved December 22, 2011, from http://autobusy-test.com.pl/pdf/GRISHIN%20Stanislav%20et%20al.pdfSearch in Google Scholar

Guseynov, Sh. E., Rimshans, J. S., Kopytov, E. A. (2011). Solution of the Model of Exhaust Concentration Dynamics in Urban Atmosphere under Unknown Turbulent Air Flow Velocity. International Journal of Procedia Environmental Sciences, Series: Urban Environmental Pollution, 4, 35-42.10.1016/j.proenv.2011.03.005Search in Google Scholar

Solovyov, Y. O., Schiptsov, O. V., Guseynov, Sh. E. (2010). Development and investigation of the unsteady 3D mathematical model for continued ecological monitoring in the airport area. In Proceedings of the 10th International Conference "Reliability and Statistics in Transportation and Communication" (RelStat'10), Riga, Latvia, October 20-23, 2010 (pp. 403-412). Riga: Transport and Telecommunication Institute.Search in Google Scholar

Guseynov, Sh. E., Kopytov, E. A., Grishin, S., Schiptsov, O. V., Rimshans, J. S. (2008). Mathematical model for determination of exhaust concentration dynamics in urban atmosphere under unknown turbulent airflow velocity. In Proceedings of the 8th International Conference "Reliability and Statistics in Transportation and Communication (RelStat'08)", Riga, Latvia, October 15-18, 2008 (pp. 9-14). Riga: Transport and Telecommunication Institute.Search in Google Scholar

Rimshans, J. S., Esau, I. N., Zilitenkevich, S. S., Guseynov, Sh. E. (2008). Analytical-Numerical Solution for the One Dimensional PBL Turbulence Model. In Proceedings of the 18th Symposium on Boundary Layers and Turbulence under the aegis of the American Meteorological Society, Stockholm, Sweden June 09-13, 2008. Retrieved December 22, 2011, from http://ams.confex.com/ams/pdfpapers/139877.pdf http://ams.confex.com/ams/pdfpapers/139877.pdfSearch in Google Scholar

Davidson, P. A. (2006). Turbulence. An introduction for scientists and engineers. Oxford: Oxford University Press, XIX+657 p.Search in Google Scholar

Zudema, G., Borm, G. J., Alcamo, J. (1994). Simulating changes in global Land cover as affected by economic and climatic factors. International Journal on Water, Air and Soil Pollution, 76(1-2), 163-198.10.1007/BF00478339Search in Google Scholar

Belyaev, V. I., Korenyuk, Ye. D., Hrusch, V. K. (2001). Computer modelling of the subsurface water circulation and pollution dynamics. Dnepropetrovsk: Science and Education.Search in Google Scholar

Serdyutskaya, L. F. (1997). About some aspects of factorial analysis application for the problems of environmental simulation. In Modelling and diagnostics of the sophisticated processes and systems (pp. 35-40). Kiev: Scientific thought.Search in Google Scholar

Sjoberg, S., Wulff, F., Wahllstrom, P. (1972). Computer Simulations of Hydrochemical and Biological processes in the Baltic. Contributions from the Asko Laboratory (No 1). Stockholm: University of Stockholm.Search in Google Scholar

Terehina, A. Yu. (1986). Data analysis using the multidimensional scaling methods. Moscow: Science.Search in Google Scholar

Homyakov, D. M. and Homyakov, P. M. (1996). Fundamentals of system analysis. Moscow: Lomonosov Moscow State University.Search in Google Scholar

Serdyutskaya, L. F. (2004). Multidimensional approach to the analysis of the model data taking as an example water objects. Hydrobiological Scientific Journal, 40(2), 104-112.Search in Google Scholar

Unger, F. G. (1993). Regional ecological information modeling systems. Novosibirsk: Science.Search in Google Scholar

Zaitsev, Yu. P., Polikarpov, G. G. (2002). Ecological processes in the critical areas of the Black Sea: synthesis of the results of two research dimensions from the middle of the XX to the beginning of XXI centuries. Marine Ecological Journal, 1(1), 33-55.Search in Google Scholar

2010 Environmental Performance Index. (2010). Yale: Yale Center for Environmental Law & Policy.Search in Google Scholar

HELCOM Initial Holistic Assessment. (2008). Ecosystem Health of the Baltic Sea in 2003-2007. In Baltic Sea Environment Proceedings, No. 122, (66 p.). Helsinki: Helsinki Commission.Search in Google Scholar

Air Quality Annual Report. (2008). Riga: Latvian Environment, Geology and Meteorology Agency. Retrieved December 22, 2011, from http://www.meteo.lv/upload_file/GADA%20PARSKATI/Parskats2008_both.pdfSearch in Google Scholar

Latvian Ministry of Environment. (2009). Environmental Policy Strategy in 2009-2015. Riga: Informative section.Search in Google Scholar

Kuznetsov, S. I. (1970). Micro flora of the lakes and its geochemical activity. Moscow: Science.Search in Google Scholar

Sergeyev, Yu. N. (1972). Problem of mathematical modeling of multicomponent physico-biological marine system. In Proceedings of Leningrad State University, Issue: Geology-geography, No 24, (pp. 114-125). Leningrad: Leningrad State University.Search in Google Scholar

Eppley, W., Renger, E. U., Uenrick, E. L. (1973). A study of plankton dynamics and nutrient cycling in the central gyre of the North Pacific Ocean. Journal on Limnology and Oceanography, 18(4), 534-555. DOI: 10.4319/lo.1973.18.4.053410.4319/lo.1973.18.4.0534Search in Google Scholar

Baltic Marine Environment Protection Commission: Helsinki Commission. (1986). In Baltic Sea Environment Proceedings, No 16, (176 p.). Helsinki: Helsinki Commission.Search in Google Scholar

Baltic Marine Environment Protection Commission: Helsinki Commission. (1986). First Periodic assessment of the State of the Marine Environment of the Baltic Sea area, General Conclusions. In Baltic Sea Environment Proceedings, No 17A, (56 p.). Helsinki: Helsinki Commission.Search in Google Scholar

Georgievsky, V. B. (1982). Identification and verification of the water ecosystem models. In Proceedings of the Conference ‘Natural Waters Preservation, Protection and Quality Improvement Problems’, (pp. 156-163). Moscow: Science.Search in Google Scholar

Georgievsky, V. B. (1977). Identification and mathematical modeling of the eutrophication processes of the sea ecosystems: Journal "Ambio Special Report", 5. Springer.Search in Google Scholar

Hofbauer, J., Sigmund, K. (1988). The theory of Evolution and dynamical systems. London Mathematical Society, Cambridge: Cambridge University Press.Search in Google Scholar

Bibikov, Yu. N. (1991). Guide book of the ordinary differential equations. Moscow: PhysMathLit.Search in Google Scholar

Arnold, V. I. (1978). Additional chapters of the ordinary differential equations theory. Moscow: Science.Search in Google Scholar

Yakubovich, V. A., Starshinsky, V. M. (1972). Linear differential equations with periodic coefficients and their applications. Moscow: Science.Search in Google Scholar

Tikhonov, A. N., Samarsky, A. A. (2004). The mathematical physics equations. Moscow: Moscow State University Press.Search in Google Scholar

Rimshans, J. S., Guseynov, Sh. E. (2007). Numerical Propagator Method Solutions for the Linear Parabolic Initial-Boundary Value Problems. Journal of Applied Mathematics and Mechanics, 7(2), 812-819.Search in Google Scholar

Ieraga, I., Guseynov, Sh. E., Rimshans, J. S. (2011). Complementary slackness between the lowest terms coefficients of the 3D parabolic equation and the Newton boundary conditions constants. In Books of Abstracts of the International Conference on Scientific Computation and Differential Equations (SciCADE2011), Toronto, Canada, July 11-15, 2011 (p. 57). Toronto: the Fields Institute in Toronto.Search in Google Scholar

Guseynov, Sh. E. (2012). Mathematical Models for Environmental Research and analyticonumerical methods of solving. Monograph. (324 + XII p.). West Conshohocken, Pennsylvania: The American Society for Testing and Materials (ASTM International). (In print)Search in Google Scholar

Nedostup, L. M. (1982). Sensitivity of the water ecosystem models that are affected by the anthropogenic factor. In Proceedings "Natural Waters Preservation, Protection and Quality Improvement Problems", (pp. 139-155). Moscow: Science.Search in Google Scholar

Recommended articles from Trend MD

Plan your remote conference with Sciendo