Аннотация:Mathematical modeling is an efficient technique to predict pesticide behavior in soil, air and groundwater. The main advantages of mathematical modeling include efficiency, time saving and ability to cover a large variety of pesticides application in natural conditions. Mathematical models enable the prediction of pesticides concentrations in soils and groundwater. This data is used the risk assessment of pesticides negative impact to the soil organisms, and contamination of drinking water sources. The models and standard scenarios have become common in use with pesticides registration in EU [1]. In Russia, mathematical modeling as a tool to assess the pesticides concentration in the environmental objects has been used since 2007, when according to the Ministry of Agriculture order ʋ 357, the form “Data on Pesticide” was approved for pesticide registration in the Russian Federation. Currently, the pesticides behavior predicting based on the PEARL model designed in the EU as well as the standard Russian scenarios [2] are a part of a multilevel risk assessment of the pesticides, being registered in Russia. Taking into account the Euroasian Economic Union (EAEU) foundation and the unification of the ways of estimating the risks of the pollution of soil and groundwater with registered pesticides in the EAEU, the present research is aimed to: 1) adding on the list of Russian standards data-input scenarios three scenarios of the Kazakhstan Republic; 2) illustrating of PEARL model and standard scenarios operation with predicting concentrations of the 4 test-compounds in the run-off the soils from 12 regions; 3) defining the EAEU regions, most vulnerable to pesticide contamination of the groundwater.