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Система биологического мониторинга для непрерывного контроля качества воды с использованием рыб как организмов-биосенсоров

Система биологического мониторинга для непрерывного контроля качества воды с использованием рыб как организмов-биосенсоров

Abstract

Разрабатываемая авторами статьи многоуровневая система оценки состояния популяций рыб различных экологических групп в условиях зарегулированного стока в рамках гранта РФФИ и растущего уровня загрязнения требуют новых подходов к подсистеме мониторинга качества поверхностных вод, которая составляет первый уровень системы оценки состояния популяций рыб. В статье описан прототип системы биологического мониторинга "TrackTox-Fish", разработанной на кафедре прикладной экологии КФУ, с использованием рыб как организмов-биосенсоров. Система предназначена для оперативного выявления нештатных и чрезвычайных экологических ситуаций, дает возможность контроля и интегральной оценки рисков от загрязнения среды обитания химическими соединениями, отсутствующими в программах мониторинга, получения прямого отклика биологических систем на качество среды обитания и регистрации опасности на самых ранних этапах.

234-238

Keywords

биологический мониторинг, Охрана окружающей среды, интегральный контроль, качество среды обитания, рыбы

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green