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Assessment of health risk of the baikal region population associated with the wildfire air pollution:Approaches,modelling,digital environment

引用

Emerging Contaminants 2023年第1期9卷 33-40页

作者： Natalia Efimova viacheslav paramonov Viktor Rukavishnikov Roman Fedorov Gennadiy Ruzhnikov Andrei Tsyrendorzhiyev East-Siberian Institute of Medical and Ecological Research 3“12a mikrorayon”Angarsk665827Irkutsk oblastRussia Matrosov Institute for System Dynamics and Control Theory of SB RAS 134 Lermontov St.Irkutsk664033Russia Rospotrebnadzor for the Republic of Buryatia 45Kluchevskaya St.Ulan-Ude670013Republic of BuryatiaRussia

The latest forecasts indicate wildfire activity in many parts of the *** smoke contains hazardous air pollutants such as carbon monoxide,nitrogen dioxide,ozone,particulate matter et ***,prediction of this impact and on time medical care are difficult due to the lack of digital decision-making *** aim of this study is to assess population health risks associated with the sub-daily exposure to wildfire smoke produced by massive foci of combustion near the populated areas and at a significant distance from *** consider reflex reactions as a response to a short-term *** maximum value of the 95th percentile from the series of observations at the monitoring point was used to assess the *** the mathematical description of the“concentration-effect”relationship,the model of individual thresholds is *** model describes a dependence as a straight line under the condition that the concentration is expressed in the form of a normalprobabilistic *** frequency of additional cases is determined by studying the number of requests for medical assistance(including calls for ambulance)with complaints of respiratory disorders,lacrimation,*** the territories affected by wildfires *** indicator is calculated per 1000 *** probability of negative biological effects in response to the impact of wildfire smoke is associated mainly with the content of CO and TPM in the conditions of the Baikal *** frequency of additional requests for medical care ranged from 0.137 to 0.933 per 1000 exposed population during the fire period in settlements where risk levels are>*** developed a digital environment that allows us to get information about harmful substances in the outdoor air from different sources and in different formats and data *** digital environment supports implementation of models for assessing hazards to human body organs.

关键词： Air pollution Wildfire Health risk Digital environment

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