ELEMENTAL COMPOSITION AND SOURCES OF URBAN DUST OF А LARGE INDUSTRIAL CITY (KRASNOYARSK, RUSSIA)

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Abstract

For the first time, a comprehensive study of urban dust collected in Krasnoyarsk city was carried out. The results obtained enabled the features of elemental composition of urban dust and their natural and anthropogenic sources to be investigated. Dust samples (n = 68) were collected in different functional areas of the city. The content of 70 elements was determined in the collected samples of urban dust. The diagrams of the (CaO + + Na2O) – Al2O3 – K2O and (CaO + Na2O + K2O) – Al2O3 – (Fe2O3 + MgO) composition showed that the mineral part of most of the studied Krasnoyarsk dust samples is represented by plagioclases. Values of enrichment factors and geoaccumulation indices showed contamination of Krasnoyarsk dust by Co Sn, Bi, Pb, Mo, Cu, As, Zn, Cd, W, Ag and Sb. Regularities of microelement accumulation depending on sampling locations were found. Sb accumulates to a large extent in samples collected on major highways of Krasnoyarsk, while elevated contents of As, Cu and Co are typical for samples collected in industrial areas of the city. The principal component analysis and Pearson matrix allowed to identify 6 groups of elements in the dust samples, which can be attributed to various natural and anthropogenic sources: Al, Ti, Cr, Fe and Ni – weathering of soils and rocks; Fe, Co, Ni, Cu and As – emissions from metallurgical plants and coal-fired thermal power plants; W, Bi, Zn and Mo – heavy metallurgical and mechanical engineering industries; Cu, Cd, Sn and Pb – emissions from motor and rail transport, as well as wear of metal parts and structures; Sn and Sb – wear of brake pads and tires and industrial emissions; Hg – weathering of soils and rocks.

About the authors

A. I. Ivaneev

Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences

Email: aiivaneev@geokhi.ru
Russian Federation, Kosygin Str., 19, Moscow, 119991

A. S. Brzhezinskiy

Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences

Email: aiivaneev@geokhi.ru
Russian Federation, Kosygin Str., 19, Moscow, 119991

V. K. Karandashev

Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences; Institute of Microelectronics Technology and High‑Purity Materials, Russian Academy of Sciences

Email: aiivaneev@geokhi.ru
Russian Federation, Kosygin Str., 19, Moscow, 119991; Osipyan Str., 6, Chernogolovka, Moscow region, 142432

M. S. Ermolin

Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences

Email: aiivaneev@geokhi.ru
Russian Federation, Kosygin Str., 19, Moscow, 119991

P. S. Fedotov

Vernadsky Institute of Geochemistry and Analytical Chemistry, Russian Academy of Sciences

Author for correspondence.
Email: aiivaneev@geokhi.ru
Russian Federation, Kosygin Str., 19, Moscow, 119991

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

1. Я (далее – «Пользователь» или «Субъект персональных данных»), осуществляя использование сайта https://journals.rcsi.science/ (далее – «Сайт»), подтверждая свою полную дееспособность даю согласие на обработку персональных данных с использованием средств автоматизации Оператору - федеральному государственному бюджетному учреждению «Российский центр научной информации» (РЦНИ), далее – «Оператор», расположенному по адресу: 119991, г. Москва, Ленинский просп., д.32А, со следующими условиями.

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».