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ON IMPROVING THE EFFICIENCY OF ENVIRONMENTAL MONITORING: A STATISTICAL MODEL OF SNOW POLLUTION BY DIFFERENT SOURCES

Maxim Medvedev

First published: 2016-06-28https://doi.org/10.5593/sgem2016/b21/s08.097View metrics

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Publication details

Title
ON IMPROVING THE EFFICIENCY OF ENVIRONMENTAL MONITORING: A STATISTICAL MODEL OF SNOW POLLUTION BY DIFFERENT SOURCES
Authors
Maxim Medvedev
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 16th International Multidisciplinary Scientific GeoConference SGEM2016, Informatics, Geoinformatics and Remote Sensing
Publisher
Stef92 Technology
Year
2016
Pages
775-780
ISSN
1314-2704
ISBN
978-619-7105-58-2
Language
en
Publication type
Conference Paper
References12
  1. Briggs D., Collins S., Elliot P., Fischer P., Kingham S., Lebret E., Pryl K., Hv. Reeuwijk, Smallborne K., Avd. Veen. Mapping urban air pollution using GIS: a regression-based approach, Int. J. Geogr, Inf. Sci., vol. 11, № 7, 1997.

  2. Hoek G., Beelen R., de Hoogh K., Vienneau D., Gulliver J., Fischer P., Briggs D. A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmospheric Environment, vol. 42, pp. 7561– 7578, 2008.

  3. Antropov K. M., Varaksin A. N. Assessment of air pollution in Ekaterinburg by nitrogen dioxide using Land Use Regression method. Ecological systems and devices , Moscow, №7, 2011.

  4. Medvedev A., Taushankova D., Medvedeva M., Varaksin A., Sergeev A., Snow Pollution Regression Model for Karabash City of Russia, SGEM2014. 14th GeoConference on Ecology, Economics, Education and Legislation, Bulgaria, Vol. 1, pp 601-606, 2014.

  5. Sergeev A., Buevich A., Medvedev A., Subbotina I., Sergeeva M,. Artificial Neural Network and Kriging Interpolation for the Chemical Elements Contents in the Surface Layer of Soil on a Background Area, SGEM 2015. Water Resources. Forest, Marine and Ocean Ecosystems, Bulgaria, Vol. II, pp 49-56, 2015.

  6. Berg D.B., Gubarev S.V., Medvedev A.N., Taubayev A.A., Calculations of Wind Mass Transfer of Pollution: Simulation and Analytical Models , IFAC-PapersOnLine, Volume 48, Issue 25, pp 227-230, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

  7. Briggs D., Collins S., Elliot P., Fischer P., Kingham S., Lebret E., Pryl K., Hv. Reeuwijk, Smallborne K., Avd. Veen. Mapping urban air pollution using GIS: a regression-based approach, Int. J. Geogr, Inf. Sci., vol. 11, № 7, 1997.

  8. Hoek G., Beelen R., de Hoogh K., Vienneau D., Gulliver J., Fischer P., Briggs D. A review of land-use regression models to assess spatial variation of outdoor air pollution. Atmospheric Environment, vol. 42, pp. 7561– 7578, 2008.

  9. Antropov K. M., Varaksin A. N. Assessment of air pollution in Ekaterinburg by nitrogen dioxide using Land Use Regression method. Ecological systems and devices , Moscow, №7, 2011.

  10. Medvedev A., Taushankova D., Medvedeva M., Varaksin A., Sergeev A., Snow Pollution Regression Model for Karabash City of Russia, SGEM2014. 14th GeoConference on Ecology, Economics, Education and Legislation, Bulgaria, Vol. 1, pp 601-606, 2014.

  11. Sergeev A., Buevich A., Medvedev A., Subbotina I., Sergeeva M,. Artificial Neural Network and Kriging Interpolation for the Chemical Elements Contents in the Surface Layer of Soil on a Background Area, SGEM 2015. Water Resources. Forest, Marine and Ocean Ecosystems, Bulgaria, Vol. II, pp 49-56, 2015.

  12. Berg D.B., Gubarev S.V., Medvedev A.N., Taubayev A.A., Calculations of Wind Mass Transfer of Pollution: Simulation and Analytical Models , IFAC-PapersOnLine, Volume 48, Issue 25, pp 227-230, 2015. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org

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Number of times cited according to Crossref: 1

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