Geographical Infornational System for Assessment Spatial Distribution of Air Pollution (Case Study of Khmelnitsky City)

Authors

  • А. I. Волков The Odessa State Environmental University, Ukraine

Keywords:

air quality, geographical informational systems, linear programming

Abstract

   Purpose. The goal of research is spatial analysis of air quality in town Khmelnitsky and to reveal districts with the lowest air pollution level. Methods. Algorithms of purpose functions, linear programming and geoinformational modelling of spatial data. Results. The assessment of spatial distribution of air pollution in Khmelnitsky city has been implemented. The data base and appropriate geographical system have been developed. The geographical informational system includes all data concerning  air pollution in Khmelnitsky city. There have been designed digital maps of air pollution the area in question.Conclusion. There have been revealed areas with the highest and lowest levels of air pollution.

Author Biography

А. I. Волков, The Odessa State Environmental University

канд. геогр. наук, доц.

References

Журкин И.Г., Шайтура С.В. Геоинформационные системы. М.: КУДИЦ-ПРЕСС, 2009. 272 с.

Букаты М.Б. Геоинформационные системы и математическое моделирование. Учебное пособие. Томск: Изд. ТПУ, 2009. 75 с

Ralf Denzer. Generic Integration in Environmental Information and Decision Support Systems. / Biannual conference of the International Environmental Modelling and Software Society, June 24-27. Lugano: RSR, 2002 P. 53-60.

Breckling, B., Middelhoff, U. and H. Reuter. Individual-based models as tools for ecological theory and applications: understanding the emergence of organizational properties in ecological systems. / Ecological Modelling 194, Issues 1-3 (Mar) .Porto: FEUP, 2006. P. 102-113.

Yuriy I. Dreizis, Irina V. Grigoryan, Vladimir V. Kovalenko. Design of Multidimensional Database (MBD) for DSS in Problems of Environmental Management. / European Researcher. Vol.(20), № 5-1. Brussels: EUS. 2012. P. 590-593.

Y. Polichtchouk. Geoinformation systems and regional environmental prediction. Safety Science 30, 1998 P. 63-70

J. Durgaprasadand , P. Subba Rao. Handling of Uncertainty for Modelling of Risk for Development of a DSS. / Environmental Knowledge for Disaster Risk Management. International Conference. 10-11 May, 2011 ˗ Delhi, India: NIDM-GIZ, 2011 P. 19.

Anastassios Tassopoulos, Ioanis Anastasiadis. Environmental management and decision support system. / Neural, Parallel, and Scientific Computations № 19. Athens,: Dynamic Publishers, 2011. P439-451

Офіційний сайт міста Хмельницький [Електронний ресурс] // URL: http://khmelnytsky.com/

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Issue

No. 16 (2017): Вісник Харківського національного університету імені В. Н. Каразіна. Серія "Екологія".Випуск 16

Section

ECOLOGICAL RESEARCHES OF GEOSISTEM

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