ECOLOGICAL GEOINFORMATION SYSTEMS AS A TOOL FOR ANALYSIS OF SUSTAINABLE DEVELOPMENT OF THE TERRITORY OF KIZILYURT CITY

Abstract

Astract. Aim. Research of ecological and geochemical pollution of soils of Kizilyurt city with use of GIS for an assessment of an ecological condition of an urban area as indicator of a sustainable development. Methods. Investigation in field conditions and by methods of chemical analyses of tests of soil samples. Laboratory and analytical researches are executed by using of the standard techniques on the nuclear and absorbing spectrophotometer. Mathematical and statistical methods are applied. Ecological maps and relational Databases are constructed by using of GIS-technologies. Results. The analysis of results of urban soils on the content of heavy metals showed that the greatest contribution to complex pollution of soils of the city is made by lead. The raised content of lead in soils of the city proves the fact of that the soil is the long-term concentrator of pollyutants. Distribution of lead pollution speaks from positions of intensity of an automobile stream. Data on the content of lead in soils of an urban soils indicate essential dispersion of indicators of a mobile form (from 18 mg/kg to 100 mg/kg). Excess is observed not only in comparison with the background contents, also repeatedly (from 3rd to 16 times) indicators of maximum permissible concentration of lead are exceeded. Zc values vary from values 7,2 to 12,1 in various points of the city depending on an arrangement in relation to highways or the industrial enterprises. Main conclusions. On a estimating scale of pollution danger of Kizilyurt soil treat category "moderately dangerous" and "dangerous" pollution by heavy metals. The ecological assessment of city soils shows an adverse and dangerous situation for population health. The relational Database of environmental monitoring of natural and technogenic systems on the example of Kizilyurt city is created. According to an ecological and geochemical assessment digital geoinformation cartographical models of a condition of an urban area are constructed.