Intelligent Visualization and Modeling of Phytogeochemical Profiles of Industrial Dumps in Donbass

Авторы: Safonov Andrei I., Dogadkin Denis N., Nespirnyi Vitalii N.
Журнал: Environmental and Ecological Statistics
Том: 32
Номер: 118
Год издания: 2025
Издательство: Springer Nature
Местоположение издательства: Switzerland
Первая страница: 122
Последняя страница: 128
DOI: 10.18485/ecologica.2025.32.118.5
Аннотация: The paper contains information on the features of phytogeochemical profiles for industrial sites in Donbass – coal mine dumps. The studies were conducted using a multi-stage system of using statistical techniques in mathematics and elements of artificial intelligence in making decisions on the selection of priority pollutants and reference chemical elements to restore missing data. Intelligent visualization of analytical control data of biogeochemical processes is a unique profile of information reflecting similar series for the nature of technogenic pollution of the environment. For the first time, gradients of accumulation of individual elements in the tissues of an indicator plant were established, which is considered in the future as a remediant in the restoration of disturbed ecotopes of Donbass.
Добавил в систему: Сафонов Андрей Иванович

	ИСТИНА	Войти в систему Регистрация
	ИСТИНА ПсковГУ
	Главная Поиск Статистика О проекте Помощь

ИСТИНА