EURO-ECO 2010 Hanover 2 - 3 Dezember 2010	Environmental, Engineering - Economic and Legal Aspects for Sustainable Living
	European Academy of Natural Sciences, Hanover European Scientific Society, Hanover University of Bremen, Bremen

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One of the most topical problems faced by municipalities of Russian Federation is the efficient distribution of new educational facilities taking into account among others requirements the choosing of ecologically friendly urban areas. This issue has gained in importance due to creation of ecologically favourable environment at educational facilities as the children spent the half of the day in schools and kinder gardens. To solute this problem we need to use new technologies for more operational territorial distribution planning of educational facilities and data retrieval of the existing environmental condition, sanitary and microclimate condition.

At the Urban planning and Community development department of the Rostov State University of Civil Engineering specialists developed methodology of the city reconstruction sites estimation to distribute educational facilities using GIS-technologies. GIS-technologies give an opportunity to make the analysis of the educational facilities data, density and structure of population, its distribution on the territory of the city and zones of ecological risk, which are result of summarized estimation of contamination from different sources.

While defining the most optimal variant of using city territories in a process of the planed reconstruction we are faced with the aim of choosing the estimation criteria of these territories from the point of view of educational facilities distribution. The description of each aim includes the components (factors) solution and the system of aims description. In our case we deal with the classic optimizational aim of choosing the best combination of variables (estimation factors) at the maximum of the estimation function. Solving this aim we are to carry out some interconnected actions, they are:

1. Separation of the city territory into sites.
2. Developing the list of estimation factors, which have influence on the priority placement of educational facilities.
3. Choosing and giving the desirability coefficient of estimation factors for areas of educational facilities’ placement.
4. Calculation of each estimation factor coefficient for educational facilities’ placement.
5. Calculation of the mentioned site summary rating for educational facilities’ placement.
6. Choosing one of the sites for construction of educational facility according the maximal meaning of the estimation factor summary rating.

Mathematics expression of the estimation function:

where, Ai – is a rating estimation, depending on variable factors.

With the help of program complex ArcGIS ESRI by setting the desirability coefficients of the estimation factors, we got the electronic map of educational objects distribution on the territory of Rostov-on-Don. On the next step we made comprehensive assessment of environmental pollution in Rostov-on-Don. It included following factors: air pollution, the degree of soil pollution, dust load in the city, the degree of noise pollution, the level of groundwater and pollution. We made the zones of ecological risks and also developed the electronic program to determine necessary measures to decrease the ecological risk.

This methodology also helps us to determine the efficient place for construction of new places of educational facilities and after to decrease the ecological risk using the developed software, to determine demand in new building and reconstructing the existing educational complex objects in the city and gives an opportunity to optimize the use of the territory for different city functions on the basis of the present day educational objects plight and tendencies definition and the basic directions of long term educational objects system development to reach the standards.

 

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