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GEOSTATISTICAL MODELING OF LINKS BETWEEN POLLUTANTS CONTENT IN SOIL OF A MEGALOPOLIS AND GEOGRAPHICAL PREDICTORS

Medvedev, Alexander, Buevich, Alexander, Sergeev, Alexander, Buslovskaya, Anastasia, Urazbaeva, Raushan

First published: 2015https://doi.org/10.5593/sgem2015/b32/s13.022View metrics

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Title
GEOSTATISTICAL MODELING OF LINKS BETWEEN POLLUTANTS CONTENT IN SOIL OF A MEGALOPOLIS AND GEOGRAPHICAL PREDICTORS
Authors
Medvedev, Alexander, Buevich, Alexander, Sergeev, Alexander, Buslovskaya, Anastasia, Urazbaeva, Raushan
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, WATER RESOURCES. FOREST, MARINE AND OCEAN ECOSYSTEMS
Publisher
Stef92 Technology
Year
2015
Pages
161-168
ISSN
1314-2704
ISBN
978-619-7105-37-7
Language
en
Publication type
Conference Paper
References18

  1. Briggs D., Collins S. Avd. Veen, Mapping urban air pollution using GIS: a regression-based approach, J. Geogr. Inf. Sci., 1997, V. 11, № 7, pp. 699–718.

  2. Gerard Hoek, Rob Beelen, Kees de Hoogh, Danielle Vienneau, John Gulliver, Paul Fischer, David Briggs, A review of land-use regression models to assess spatial variation of outdoor air pollution, Atmospheric Environment, 2008, V. 42, pp. 7561–7578.

  3. Brauer M., Henderson S., Land Use Regression Road Map for the Burrard Inlet Area Local Air Quality Study. Final report, 2006, p. 47.

  4. Brauer M., Hoek G., Prediction of long term average particulate air pollution concentrations by traffic indicators for epidemiological studies, Epidemiology, , V. 14, № 2, pp. 228-239.

  5. Kanaroglou P.S., Jerrett M., Establishing an air pollution monitoring network for intra-urban population exposure assessment: a location-allocation approach, Atmospheric Environment, 2005, V. 39, № 13, pp. 2399-2409.

  6. Sahsuvaroglu T., Arain A., A LUR model for predicting ambient concentrations of nitroge n dioxide in Hamilton, Canada, J. Air Waste Manage. Assoc., 2006, V. 56, № 8, pp. 1059–1069.

  7. Henderson S., Beckerman B., Application of LUR to estimate long-term concentrations of traffic- related nitrogen oxides and fine particulate matter , Environ. Sci. Technol., 2007, V. 41 (7), pp. 2422–2428. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015

  8. Moore D.K., Jerrett M., A land use regression model for predicting ambient fine particulate matter across Los Angeles, CA, J. Environ. Monitor., 2007, V. 9, № 3, pp. 246-252.

  9. Medvedev A., Taushankova D., Medvedeva M., Varaksin A., Sergeev A., Snow Pollution Regression Model for Karabash City of Russia, 14th GeoConference on Ecology, Economics, Education and Legislation. Conference Proceedings, Volume 1. Ecology & Environmental Protection. SGEM2014, 2014, pp. 601-606. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  10. Briggs D., Collins S. Avd. Veen, Mapping urban air pollution using GIS: a regression-based approach, J. Geogr. Inf. Sci., 1997, V. 11, № 7, pp. 699–718.

  11. Gerard Hoek, Rob Beelen, Kees de Hoogh, Danielle Vienneau, John Gulliver, Paul Fischer, David Briggs, A review of land-use regression models to assess spatial variation of outdoor air pollution, Atmospheric Environment, 2008, V. 42, pp. 7561–7578.

  12. Brauer M., Henderson S., Land Use Regression Road Map for the Burrard Inlet Area Local Air Quality Study. Final report, 2006, p. 47.

  13. Brauer M., Hoek G., Prediction of long term average particulate air pollution concentrations by traffic indicators for epidemiological studies, Epidemiology, , V. 14, № 2, pp. 228-239.

  14. Kanaroglou P.S., Jerrett M., Establishing an air pollution monitoring network for intra-urban population exposure assessment: a location-allocation approach, Atmospheric Environment, 2005, V. 39, № 13, pp. 2399-2409.

  15. Sahsuvaroglu T., Arain A., A LUR model for predicting ambient concentrations of nitroge n dioxide in Hamilton, Canada, J. Air Waste Manage. Assoc., 2006, V. 56, № 8, pp. 1059–1069.

  16. Henderson S., Beckerman B., Application of LUR to estimate long-term concentrations of traffic- related nitrogen oxides and fine particulate matter , Environ. Sci. Technol., 2007, V. 41 (7), pp. 2422–2428. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org 15th International Multidisciplinary Scientific GeoConferences SGEM2015

  17. Moore D.K., Jerrett M., A land use regression model for predicting ambient fine particulate matter across Los Angeles, CA, J. Environ. Monitor., 2007, V. 9, № 3, pp. 246-252.

  18. Medvedev A., Taushankova D., Medvedeva M., Varaksin A., Sergeev A., Snow Pollution Regression Model for Karabash City of Russia, 14th GeoConference on Ecology, Economics, Education and Legislation. Conference Proceedings, Volume 1. Ecology & Environmental Protection. SGEM2014, 2014, pp. 601-606. International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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