Efficiency of health risk mitigation: complex assessment based on fuzzy sets theory and applied in planning activities aimed at ambient air protection

Автор: Zaitseva N.V., Zemlyanova M.A., May I.V., Alekseev V.B., Trusov P.V., Khrushcheva E.V., Savochkina A.A.

Журнал: Анализ риска здоровью @journal-fcrisk

Рубрика: Профилактическая медицина: актуальные аспекты анализа риска здоровью

Статья в выпуске: 1 (29), 2020 года.

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When industrial objects emitting substantial masses of dust and gas mixtures are located within a settlement or close to its borders, it often results in poorer quality of the environment and damages to population health. Such a situation is typical for many cities in the country; primarily, for those that are included into “Pure air” Federal project, a part of the “Ecology” National project. Negative effects are produced by a set of various substances emitted from various industries. And it is quite often that great numbers of people are exposed to such emissions and as a result multiple and variable responses from their health are registered. Assessment of share contributions made by different emissions sources and each particular substance into aggregated negative responses from human health is a fundamental stage in assessing damages to health that occurred due to them; it is significant for working out an action plan aimed at hazardous impacts mitigation. Given that, we proposed an approach based on fuzzy sets theory as a relevant methodological basis for assessing efficiency of risk mitigation and damage to health when planning and implementing activities aimed at ambient air protection...

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Damage to health, exposed population, ambient air contamination, mitigation, adverse effects, fuzzy sets theory, ambient air protection, adequacy, sufficiency, effectiveness

Короткий адрес: https://sciup.org/142224415

IDR: 142224415   |   DOI: 10.21668/health.risk/2020.1.03

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