Regulation of permissible level of hazardous effect of oil pollution in soil environment

UDK: 502.6:622.276.5
DOI: 10.24887/0028-2448-2021-12-144-147
Key words: soils, oil pollution, methods of rationing petroleum products in soils, probability-statistical method, Poisson distribution
Authors: M.A. Galishev (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg), Yu.N. Belshina (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg), F.A. Dementyev (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg), R.G. Zaykin (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg), V.A. Lovchikov (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg), A.P. Reshetov (Saint-Petersburg University of State Fire Service of EMERCOM of Russia, RF, Saint-Petersburg)

The article considers peculiarities of oil products functioning in soils. Soil as a depositing element of the natural environment has a long-term effect on all the media in contact with it. The quantity and composition of oil pollution in soils largely depends on the state of air and water space. Meanwhile, methods of rationalizing the content of petroleum products in soils Cop need serious improvement. Due to the variety of soil types, it is almost impossible to develop uniform standards suitable for any soil system. Regulation of the level of dangerous oil contamination should be carried out at the local level. The proposed rationing method is based on results of mass analyses of oil content in soil obtained using screening technology. Analytical data processing is performed by probability-statistical method using Poisson distribution. At the same time, a large body of experimental data, often having different order of quantitative content of oil pollution, does not allow to carry out their direct treatment. This circumstance led to the translation of the amplitude values into a logarithmic scale. According to the values of decimal logarithms of oil contamination content, a polygon of Poisson distribution of probabilities of implementation of values of discrete random value of lgCop is built. Approximation of integral distribution of probabilities of realization of sum of possible values of lgCop is carried out by means of logistics regression. A critical point was found, dividing the range of values of lgCop value by low and high level of contamination. Isolated soil contamination groups are divided into narrower intervals by differentiation of logistics function with finding on the graph of the second derivative points of maximum and minimum values of the second derivative. Thus, it was possible to identify soil classes by the degree of oil pollution in the studied local area of soil cover. The proposed technique can be used for processing of mass analytical data on oil contamination content in soil obtained by any screening method.


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