Preview

Lomonosov Geography Journal

Advanced search

Database of ambulance calls as an information basis for the geoecological study of urbanized areas

Abstract

The use of emergency ambulance call data as a detailed basis for the geoecological study of urbanized areas is discussed. The study was performed for a large northern city of Petrozavodsk. The study has two information blocks, i. e. geochemical and medico-biological. Geochemical data show chemical element concentrations in the urban soil cover. Several basic pollutants with concentrations above the maximum allowable levels and background values were revealed (Pb, Zn, Cd, Cu, Sb, Sn, Co, V, W). Element associations in soils, which are due to various accumulation factors, were identified. The medico-biological block is based on the geo-database on emergency calls. The geo-database includes information about the diagnosis, age and sex of a patient and the date and time of a call. OpenStreetMap information is used to geo-code the calls and supplement them with the characteristics of buildings. According to the type of building the calls from the residential premises only are selected in order to link the patients to their place of residence. Segmented call distribution models are employed for spatial visualization. Sickness cases are calculated by two segment sizes, i. e. 200х200 m and 500х500 m. An index calculated from the open source data about the residential area and the average living area per 1 person is used for normalizing per the number of residents. The elaborated models could be used for the study of intra-system links by analyzing the emergency calls for different groups of patients and various diagnoses. The comparison of geochemical and medical spatial data contributed to the analysis of the effect of soil pollution on the population health in the «children under 13» age group with the diseases of respiratory and digestive organs. It was revealed that the most often response of soil pollution with heavy metals is an increasing number of digestive organ diseases in children.

About the Authors

N. V. Krutskikh
Institute of Geology, KarRC, RAS, FIC Karelian Research Centre, RAS,
Russian Federation

Geoinformation Centre, Senior Scientific Researcher, PhD. in Geology and Mineralogy



B. Z. Belashev
Institute of Geology, KarRC, RAS, FIC Karelian Research Centre, RAS,
Russian Federation

Laboratory of Geophysics, Leading Scientific Researcher, D.Sc. in Engineering



References

1. Aghajani J., Farnia P., Velayati A. Impact of geographical information system on public health sciences. Biomedical and Biotechnology Research Journal (BBRJ), 2017, vol. 1, no. 2, 94 p.

2. Chereshnev V.A., Gamburtsev A.G. Ekologiya, monitoring i zdorov’e lyudej [Ecology, monitoring and human health] Vestnik Rossiiskoj akademii nauk. 2017, vol. 87, no. 2, p. 121–129. (In Russian)

3. Glotov A.A. Meditcinskaya GIS – osnova integralnoj otcenki blagopoluchiya regiona [Medical GIS as a basis of the integral assessment of regional well-being] Geomatika, 2013, no. 3, p. 45–49. (In Russian)

4. Kistemann T., Dangendorf F., Schweikart J. New perspectives on the use of Geographical Information Systems (GIS) in environmental health sciences. International Journal of Hygiene and Environmental Health, 2002, vol. 205, no. 3, p. 169–181.

5. Kosinova I.I., Krutskikh N.V., Kustova N.R. Tekhnogennoe preobrazovanie prirodnoj sredy territorii g. Voronezha i ego ekologicheskie posledstviya [Technogenic transformation of the natural environment within the territory of Voronezh city and its environmental effects]. M., RGOTUPS, 2007, 172 p. (In Russian)

6. Kustov M.V. Kompleksnaya ekologo-geograficheskaya kharakteristika urbanizirovannykh territorij s ispolzovaniem geoinformatsionnykh tekhnologij (na primere g. Saranska) [Integrated ecological and geographical characteristics of urbanized territories using geoinformation technologies (case study of the city of Saransk)]. Vestnik Mordovskogo universiteta, 2008, no. 1, p. 112–118. (In Russian)

7. Ledoux H., Gold C. An Efficient Natural Neighbour Interpolation Algorithm for Geoscientific Modelling. Developments in Spatial Data Handling. Springer-Verlag, Berlin/Heidelberg, 2005, p. 97–108.

8. Maantay J. Asthma and air pollution in the Bronx: Methodological and data considerations in using GIS for environmental justice and health research. Health & Place. Pergamon, 2007, vol. 13, no. 1, p. 32–56.

9. Makarov O.A., Kuznetsova T.N. Otsenka ekologicheskogo sostoyaniya pochvennykh i zemelnykh resursov Moskovskoi oblasti [Assessment of the ecological state of soil and land resources of the Moscow region] Vestnik Moskovskogo universiteta. Seriya 17: Pochvovedenie, 2002, no. 2, 33 p. (In Russian)

10. Mediko-ekologicheskij atlas Voronezhskoy oblasti [Medical and environmental atlas of the Voronezh region] / Pod red. S.A. Kurolapa, N.P. Mamchika, O.V. Klepikova. Voronezh: Istoki, 2010, 167 p. (In Russian)

11. Moskalenko O.P., Portnaya D.N. Mediko-ekologicheskij blok bazy dannykh regional’noj GIS [Medical-ecological block of the regional GIS database] Vestnik Bryanskogo gosudarstvennogo universiteta, 2011, no. 4, p. 220–227. (In Russian)

12. Nuvolone D., Maggiore, R., Maio S. et al. Geographical information system and environmental epidemiology: a crosssectional spatial analysis of the effects of traffic-related air pollution on population respiratory health. Environmental Health. BioMed Central, 2011, vol. 10, no. 1, 12 p.

13. Rakhmanin Yu.A., Mikhailova R.I. Okruzhayuschaya sreda i zdorov’e: prioritety profilakticheskoj meditsiny [Environment and health: priorities for preventive medicine] Gigiena i sanitariya, 2014, no. 5(93), p. 5–10. (In Russian)

14. Rybakov D.S., Krutskikh N.V., Shelekhova T.S., Lavrova N.B., Slukovskiy Z.I., Krichevtsova M.V., Lazareva O.V. Klimaticheskie i geokhimicheskie aspekty formirovaniya ekologicheskikh riskov v respublike Kareliya [Climatic and geochemical aspects of the formation of environmental risks in the Republic of Karelia]. Sankt-Peterburg, 2013, 130 p.

15. Senaratne H. et al. A review of volunteered geographic information quality assessment methods. International J. Geographical Information Science, 2017, vol. 31, no. 1, p. 139–167.

16. Shalyari N., Alinejad A., Hashemi A.H.G. et al. Health Risk Assessment of Nitrate in Groundwater Resources of Iranshahr Using Monte Carlo Simulation and Geographic Information System (GIS) MethodsX, 2019, vol. 6, p. 1812–1821.

17. Silva F.B.V., Nascimento C.W.A., Araújo P.R.M., Silva F.L., Lima L.H.V. Soil contamination by metals with high ecological risk in urban and rural areas. International Journal of Environmental Science and Technology, 2014, vol. 14, no. 3, p. 553–562

18. Stewart O.T. et al. Secondary GIS built environment data for health research: Guidance for data development. Journal of Transport & Health. Elsevier, 2016, vol. 3, no. 4, p. 529–539.

19. Sun Y., Li H., Guo G., Semple K.T., Jones K.C. Soil contamination in China: Current priorities, defining background levels and standards for heavy metals. Journal of Environmental Management, 2019, vol. 251, 109512.

20. Trofimov V.T., Kurilenko V.V. Ekologicheskie funktsii abioticheskikh sfer Zemli: soderzhanie i znachenie dlya stanovleniya novogo teoreticheskogo bazisa geoekologii [Ecological functions of abiotic spheres of the Earth: substance and significance for the formation of a new theoretical basis of geoecology] Vestn. Mosk. un-ta, Ser. 5, Geogr., 2015, no. 3, p. 93–102.

21. Verhaegh B, Beijnens E, van den Heuvel T., Goudkade D., Zeegers M., Nawrot T., et al. Ambient air quality as risk factor for microscopic colitis – A geographic information system (GIS) study. Environmental Research, 2019, vol. 178, 108710.

22. Wang J, Zuo R, Caers J. Discovering geochemical patterns by factor-based cluster analysis. Journal of Geochemical Exploration, 2017, vol. 181, p. 106–115.

23. Wong C.S.C., Li X, Thornton I. Urban environmental geochemistry of trace metals. Environmental Pollution, 2006, vol. 142, p. 1–16.

24. Yablokov V.M. Geoinformatsionnyj analiz struktury i dinamiki prirodno-ekologicheskogo karkasa Moskvy na osnove otkrytykh geodannykh [GIS-based analysis of structure and dynamics of the Moscow urban environmental infrastructure using the open geodata] Vestn. Mosk. un-ta, Ser. 5, Geogr., 2018, no. 1, p. 42–48.

25. Web-sources

26. Edinaya mezhvedomstvennaya informatsionnostatisticheskaya sistema (EMISS) [Unified Interdepartmental Information and Statistical System] URL: https://www.fedstat.ru/indicator/40466 (access date 19.12.19). (In Russian)

27. Federal’naya sluzhba gosudarstvennoy statistiki. Chislennost’ naseleniya Rossiyskoy Federatsii po polu i vozrastu na 1 yanvarya 2016 goda [Federal State Statistics Service. Population of the Russian Federation by gender and age as of January 1, 2016] URL: https://www.gks.ru/bgd/regl/B16_111/Main.htm (access date 19.12.19).

28. Ginzburg L.N., Tokavischev I.A. Mnogomernyi analiz geokhimicheskikh dannykh Evropy (geokhimicheskoe raionirovanie i otsenka ekologicheskogo sostoyaniya) [Further analysis of geochemical data in Europe (geochemical zoning and environmental assessment)]. Moscow, ZAO «Pangeya», 2012. URL: http://www.pangea.ru/ru/img_content/public/Europa_Pangea-2012.pdf (access date 19.12.19). (In Russian)

29. Grebeniuk A.N., Merabishvili V.M., Musiichuk Iu.I., Popov G., Strukov D.R. Ispolzovanie podkhodov meditcinskoi geografii pri ekologicheskoi otcenke krupnogo megapolisa [Using approaches of medical geography in the environmental assessment of a large metropolis] // GIS v zdravookhranenii i meditcine, 2012, no. 1. (In Russian) URL: https://www.esri-cis.ru/news/arcreview/detail.php?ID=6522&SECTION_ID=221 (access date 19.12.19). (In Russian)

30. OpenStreetMap (OSM) URL: https://www.openstreetmap.org (access date 19.12.19).

31. QGIS. A Free and Open Source Geographic Information System. URL: https://qgis.org (access date 19.12.19).


Review

For citations:


Krutskikh N.V., Belashev B.Z. Database of ambulance calls as an information basis for the geoecological study of urbanized areas. Lomonosov Geography Journal. 2020;(5):52-62. (In Russ.)

Views: 799


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0579-9414 (Print)