Academic Journal
COMPARATIVE ANALYSIS OF EXTRAPOLATION METHODS OF LABORATORY DATA TO THE ECOSYSTEM LEVEL IN AQUATIC ECOTOXICOLOGY ; СРАВНИТЕЛЬНЫЙ АНАЛИЗ МЕТОДОВ ЭКСТРАПОЛЯЦИИ ЛАБОРАТОРНЫХ ДАННЫХ НА УРОВЕНЬ ЭКОСИСТЕМЫ В ВОДНОЙ ЭКОТОКСИКОЛОГИИ ; Порівняльний аналіз методів екстраполяції лабораторних даних на рівень екосистеми у водній екотоксикології
| العنوان: | COMPARATIVE ANALYSIS OF EXTRAPOLATION METHODS OF LABORATORY DATA TO THE ECOSYSTEM LEVEL IN AQUATIC ECOTOXICOLOGY ; СРАВНИТЕЛЬНЫЙ АНАЛИЗ МЕТОДОВ ЭКСТРАПОЛЯЦИИ ЛАБОРАТОРНЫХ ДАННЫХ НА УРОВЕНЬ ЭКОСИСТЕМЫ В ВОДНОЙ ЭКОТОКСИКОЛОГИИ ; Порівняльний аналіз методів екстраполяції лабораторних даних на рівень екосистеми у водній екотоксикології |
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| المؤلفون: | Безвербна, Олена Вікторівна |
| المصدر: | Science-based technologies; Vol. 42 No. 2 (2019); 207-212 ; Наукоемкие технологии; Том 42 № 2 (2019); 207-212 ; Наукоємні технології; Том 42 № 2 (2019); 207-212 ; 2310-5461 ; 2075-0781 |
| بيانات النشر: | National Aviation University |
| سنة النشر: | 2019 |
| المجموعة: | Science Journals of National Aviation University, Ukraine |
| مصطلحات موضوعية: | extrapolation of data, bioassay, safe concentration, phenol, aquatic ecosystem, method of safety factors, empirical statistical models, method of Kooijman, method of Van Straalen and Denneman, 574.64, экстраполяция данных, биотестирование, безопасная концентрация, фенол, водная экосистема, метод коэффициентов безопасности, эмпирические статистические модели, метод Коуймана, метод Ван Страалена и Деннемана, екстраполяція даних, біотестування, безпечна концентрація, водна екосистема, метод коефіцієнтів безпеки, емпіричні статистичні моделі, метод Ван Страалена і Деннемана |
| الوصف: | In order to assess the environmental effects during risk assessment, in practice it is impossible to conduct laboratory and field studies for all types of organisms in the biocenosis, as well as accurately reproduce in a laboratory experiment all combinations of conditions and factors of influence. That is why it is necessary to find the most precise model of data extrapolation from laboratory toxicological experiments - bioassays - to the level of aquatic ecosystem. Regardless of the calculation method, all such models are based on determining the predicted no-effect concentration of the pollutant for living organisms that populate the reservoir. Different methods of extrapolation of laboratory toxicity data to ecosystem level are compared by the example of determining the toxicity of phenol to water bodies. Calculation is based on bioassay results and carried out by methods of safety factors and empirical statistical models (Kooijman's method and method of Van Straalen and Denneman). The method of safety factor is the simplest and fastest, but its outcome strongly depends on the quantity and quality of the toxicity profile data and does not include the probability estimation. The safe concentration value, calculated by the method of Van Straalen and Denneman, is the highest. The error occurring during estimation of NOEC on the basis of LС(EС)50 values affects on the calculation in this case. Instead, the Kooijjman method is very precise. The safe concentration calculated according to this method is significantly understated in comparison with the results of other methods, because it strongly depends on the number of species inhabiting the aquatic ecosystem and the number of investigated test objects. It has been found that when using the Kooijman's method too high backward LС(EС)50 values of the least sensitive test objects significantly reduce the safe concentration of a pollutant. These may cause difficulties in decision-making process. In order to obtain the most reliable results, it is recommended not to ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | Ukrainian |
| Relation: | https://jrnl.nau.edu.ua/index.php/SBT/article/view/13753/19331; https://jrnl.nau.edu.ua/index.php/SBT/article/view/13753 |
| DOI: | 10.18372/2310-5461.42.13753 |
| الاتاحة: | https://jrnl.nau.edu.ua/index.php/SBT/article/view/13753 https://doi.org/10.18372/2310-5461.42.13753 |
| رقم الانضمام: | edsbas.10A1F17D |
| قاعدة البيانات: | BASE |
| DOI: | 10.18372/2310-5461.42.13753 |
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