Baklanova O.   Baklanov A.  

Research of Correlation between Population Diseases and Harmful Substances Emissions in the Atmosphere from the Industrial Enterprises

Reporter: Baklanova O.

The purpose of this article is on the basis of theoretical researches and processing of statistical materials to develop a complex estimation technique of harmful emissions negative influence on a state of health of the population - number of the treated patients, cost of treatment, and the damage caused to health. The complex estimation of atmospheric air pollution by harmful emissions at shock emissions and normative work of the industrial enterprises is executed. East-Kazakhstan region, in particular the city of Ust-Kamenogorsk, is one of the highly industrialized regions of the country with a very high concentration of large non-ferrous and ferrous metallurgy, energy sector, mining and engineering industries. Due to significant environmental pollution by harmful emissions in the region formed a kind of human-induced biogeochemical province with a high content of heavy metals in the environment, such as zinc, lead and other harmful substances. To study the correlation between diseases and emissions was used technology based on OLAP (On-line Analytical Processing). The concept of OLAP is the principle of multi-dimensional data representation. To build a multidimensional cube as the measurements were taken following categories: hospital, month and year of discharge of treated patients, the number of clinical and cost-group. As a measure - the cost of the clinical classification in which the hospital gets this case. Defining the dimensions or categories for which will analyse and synthesize information, go to the next stage - the construction of cubes. The estimation of connection between shock emissions of harmful substances with growth of diseases, number of the treated patients is given. Function "doze - effect" for the basic kinds of polluting substances and the based groups disease is quantitatively appreciated. The estimations technique of treatment of patients cost and damage to health of the population, the harmful substances caused by emissions is developed. These data show a clear connection between the emissions of pollutants and diseases, and the use of OLAP-technology allows us to estimate these relationships quantitatively.