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2004 | 11 | 2 |

Tytuł artykułu

Geographical information system [GIS] as a tool for monitoring and analysing pesticide pollution and its impact on public health

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Geographical Information System (GIS) combines information from cartography sources (i.e. maps), earthbound surveys, remote sensing (i.e. aerial and satellite imagery) and creates overlapping layers that can be accessed, transformed, and manipulated interactively in one spatial structure. Thanks to the great flexibility of GIS, its possible applications are countless. For example, dynamic databases created by GIS can manage information from various sources and make spatial correlations with epidemiological data about temporal distribution of environmentally-related diseases. GIS has also been increasingly used to monitor, analyse and model pesticide migration in the environment. GIS analysis has proved to be a valuable tool in environmental and public health studies yielding important results that may ultimately help prevent excessive or uncontrolled exposure to xenobiotics, including pesticides. Despite its obvious advantages GIS technology is still not commonly used for such studies, particularly in the developing countries where the knowledge about GIS technology and its accessibility is limited. The presented review briefly explains the basic features of GIS and discusses exemplary studies where this technology has been successfully used for monitoring and analysing pesticide pollution and its impact on public health.

Wydawca

-

Rocznik

Tom

11

Numer

2

Opis fizyczny

p.181-184,fig.,ref.

Twórcy

  • Institute of Agricultural Medicine, Jaczewskiego 2, 20-950 Lublin, Poland
autor
autor

Bibliografia

  • 1. Badach H, Nazimek T, Kamiński R, Turski W: Organochlorine pesticides concentration in the drinking water from regions of extensive agriculture in Poland. Ann Agric Environ Med 2000, 7, 25-28.
  • 2. Brody JG, Vorhees DJ, Melly SJ, Swedis SR, Drivas PJ, Rudel RA: Using GIS and historical records to reconstruct residential exposure to large-scale pesticide application. J Expo Anal Environ Epidemiol 2002, 12, 64-80.
  • 3. Burrough PA, McDonnell RA: Principles of Geographical Information Systems. Oxford University Press, Oxford 1998.
  • 4. Burrough PA: Fuzzy mathematical methods for soil survey and land evaluation. J Soil Sci 1989, 40, 477-492.
  • 5. By ass JB, Lake JR: Spray drift from tractor powered field sprayer. Pestic Sci 1977,8, 117-126.
  • 6. Chester G, Ward RJ: Occupational exposure and drift hazard during aerial application of paraquat to cotton. Environ Contamin Toxicol 1984, 13, 551-563.
  • 7. Croner CM: Public health, GIS, and the internet. Annu Rev Public Health 2003, 24, 57-82.
  • 8. Dabrowski JM, Peall SK, Van Niekerk A, Reinecke AJ, Day JA, Schulz R: Predicting runoff-induced pesticide input in agricultural sub- catchment surface waters: linking catchment variables and contamination. Water Res 2002, 36, 4975-4984.
  • 9. Frost KR, Ware RJ: Pesticide drift from aerial and ground applications. Agric Eng 1970, 51, 460-467.
  • 10. Heywood I, Cornelius S, Carver S: An Introduction to Geographical Information Systems. Prentice Hall 1998.
  • 11. McKelvey W, Brody JG, Aschengrau A, Swartz CH: Association between residence on Cape Cod, Massachusetts, and breast cancer. Ann Epidemiol 2004, 14, 89-94.
  • 12. Oldak A: Biotic potential determination using Geographical Information Systems, fuzzy logic and classical approaches. Die Erde 2001, 132, 421-436.
  • 13. Ricketts TC: Geographic information systems and public health. Annu Rev Public Health 2003, 24, 1-6.
  • 14. Salski A: Fuzzy-knowledge based models in ecological research. Ecological Modeling 1992, 63, 103-112.
  • 15. Thapinta A, Hudak PF: Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand. Environ Int 2003, 29, 87-93.
  • 16. Toś-Luty S, Obuchowska-Przebirowska D, Latuszyńska J, Tokarska-Rodak M, Haratym-Maj A: Dermal and oral toxicity of malathion in rats. Ann Agric Environ Med 2003, 10, 101-106.
  • 17. Toś-Luty S, Przebirowska D, Latuszyńska J, Tokarska-Rodak M: Histological and ultrastructural studies of rats exposed to carbaryl. Ann Agric Environ Med 2001,8,137-144.
  • 18. Toś-Luty S, Tokarska-Rodak M, Latuszyńska J, Przebirowska D: Dermal absorption and distribution of (14)C carbaryl in Wistar rats. Ann Agric Environ Med 2001, 8, 47-50.
  • 19. Toś-Luty S, Tokarska-Rodak M, Latuszyńska J, Przebirowska D: Distribution of dermally absorbed 14C DDT in the organs of Wistar rats. Ann Agric Environ Med 2002, 9, 215-223.
  • 20. Ward MH, Nuckols JR, Weigel SJ, Maxwell SK, Cantor KP, Miller RS: Identifying populations potentially exposed to agricultural pesticides using remote sensing and a Geographic Information System. Environ Health Perspect 2000, 108, 5-12.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-9857c066-b0ae-44a6-b74d-28de8d8677d6
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