Microbiological water quality of Lake Baikal: a review

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Abstract

The article provides information about the sanitary-bacteriological studies conducted in the water area of Lake Baikal. We show the data on the long-term observations of the spread and abundance of fecal indicator bacteria and potentially pathogenic bacteria in the pelagic and littoral waters of the lake. We also present a review of the standards and methods for the sanitary-bacteriological water quality worldwide, techniques for detecting fecal indicator bacteria, including those specific for human microbiota, methods for microbial source tracking, as well as studies of the spread and retaining of fecal indicator bacteria in various ecotopes, such as bottom sediments and biofilms. For the sanitary-bacteriological monitoring of Lake Baikal, we propose an integrated approach based on the application of modern techniques that correspond to world practice. This approach would allow identification of the sanitary adverse sites and more reliable and standardized assessment of the Baikal water quality.

About the authors

Yu. R. Shtykova

Limnological Institute of the Siberian Branch of the Russian Academy of Sciences

Email: suslova@lin.irk.ru
Russian Federation, Ulan-Batorskaya 3, 664033 Irkutsk

M. Yu. Suslova

Limnological Institute of the Siberian Branch of the Russian Academy of Sciences

Author for correspondence.
Email: suslova@lin.irk.ru
Russian Federation, Ulan-Batorskaya 3, 664033 Irkutsk

V. V. Drucker

Limnological Institute of the Siberian Branch of the Russian Academy of Sciences

Email: suslova@lin.irk.ru
Russian Federation, Ulan-Batorskaya 3, 664033 Irkutsk

O. I. Belykh

Limnological Institute of the Siberian Branch of the Russian Academy of Sciences

Email: suslova@lin.irk.ru
Russian Federation, Ulan-Batorskaya 3, 664033 Irkutsk

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Согласие на обработку персональных данных с помощью сервиса «Яндекс.Метрика»

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2. Категории обрабатываемых данных: файлы «cookies» (куки-файлы). Файлы «cookie» – это небольшой текстовый файл, который веб-сервер может хранить в браузере Пользователя. Данные файлы веб-сервер загружает на устройство Пользователя при посещении им Сайта. При каждом следующем посещении Пользователем Сайта «cookie» файлы отправляются на Сайт Оператора. Данные файлы позволяют Сайту распознавать устройство Пользователя. Содержимое такого файла может как относиться, так и не относиться к персональным данным, в зависимости от того, содержит ли такой файл персональные данные или содержит обезличенные технические данные.

3. Цель обработки персональных данных: анализ пользовательской активности с помощью сервиса «Яндекс.Метрика».

4. Категории субъектов персональных данных: все Пользователи Сайта, которые дали согласие на обработку файлов «cookie».

5. Способы обработки: сбор, запись, систематизация, накопление, хранение, уточнение (обновление, изменение), извлечение, использование, передача (доступ, предоставление), блокирование, удаление, уничтожение персональных данных.

6. Срок обработки и хранения: до получения от Субъекта персональных данных требования о прекращении обработки/отзыва согласия.

7. Способ отзыва: заявление об отзыве в письменном виде путём его направления на адрес электронной почты Оператора: info@rcsi.science или путем письменного обращения по юридическому адресу: 119991, г. Москва, Ленинский просп., д.32А

8. Субъект персональных данных вправе запретить своему оборудованию прием этих данных или ограничить прием этих данных. При отказе от получения таких данных или при ограничении приема данных некоторые функции Сайта могут работать некорректно. Субъект персональных данных обязуется сам настроить свое оборудование таким способом, чтобы оно обеспечивало адекватный его желаниям режим работы и уровень защиты данных файлов «cookie», Оператор не предоставляет технологических и правовых консультаций на темы подобного характера.

9. Порядок уничтожения персональных данных при достижении цели их обработки или при наступлении иных законных оснований определяется Оператором в соответствии с законодательством Российской Федерации.

10. Я согласен/согласна квалифицировать в качестве своей простой электронной подписи под настоящим Согласием и под Политикой обработки персональных данных выполнение мною следующего действия на сайте: https://journals.rcsi.science/ нажатие мною на интерфейсе с текстом: «Сайт использует сервис «Яндекс.Метрика» (который использует файлы «cookie») на элемент с текстом «Принять и продолжить».