[EXPERIMENTAL GROUNDS ON POSSIBILITY TO MAKE AND TO USE PREDICTION MODELS OF PESTICIDES DESIGN STANDARD IN THE WATER OF PONDS USED FOR HOUSEHOLD AND DRINKING WATER SUPPLY].

Likars'ka sprava Pub Date : 2015-10-01
O P Vavrinevych, S T Omel'chuk
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Abstract

Taking into account the fact that current calculation methods for substantiation of standards in the water of water reservoirs valid in Ukraine are outdated the aim of our research was to scientifically substantiate the possibility to make and to use prediction models of pesticides design standard in the water of ponds used for household and drinking water supply. Array of experimentally substantiated and approved to use in Ukraine maximum allowable concentrations (MAC) of organic pesticides active ingredients in the water was analyzed (n = 201). Analysis of dependence between MAC value of pesticides in the water and its physical and chemical properties, indices of ecotoxicological hazard and persistency in the water was carried out using correlation and regression analysis methods. Twelve regression equations to establish design value of pesticides MAC in the water were proposed on the grounds of performed analysis. The results of reliability testing of proposed procedure on pesticides design tentatively allowable levels (TAL) in the water indicate on needs to apply the least value of TAL obtained in the process of calculations using proposed equations. It was proved that mathematical models proposed for prediction of pesticide design standard in the water are adequate and significant by Fisher's test (P < 0.05). Proposed algorithm allows considerably simplify procedure of obtaining temporary hygienic standard in the water for new pesticides.

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[建立和使用家庭用水和饮用水池塘水农药设计标准预测模型的可能性的实验依据]。
考虑到目前乌克兰有效水库水标准确定的计算方法已经过时,本研究的目的是科学地确定家庭用水和饮用水池塘水农药设计标准预测模型的制定和使用的可能性。分析了一系列经实验证实并批准在乌克兰使用的水中有机农药有效成分的最大允许浓度(MAC) (n = 201)。采用相关分析和回归分析方法,分析了水中农药的MAC值与其理化性质、生态毒理危害指标和持久性的相关性。在进行分析的基础上,提出了12个回归方程来建立水中农药MAC的设计值。提出的水中农药设计暂定允许残留量(TAL)程序的可靠性试验结果表明,在用所提出的公式计算过程中,需用得到的最小的TAL值。经Fisher检验证明,所建立的预测水中农药设计标准的数学模型是充分的,且具有显著性(P < 0.05)。该算法大大简化了获取新农药水中临时卫生标准的程序。
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