Abstract
The work investigated the influence of atmosphere circulation processes on the level of Arkhangelsk region mires pollution with heavy metals. The aim of the work was to study long-term patterns of air traffic (data for 20 years, from 2001 to 2020 were analysed) and to compare these data with the main Russian emission sources of heavy metals and the quantity of metals in atmosphere and on the mires surface. There were three objects of study located in Archangelsk region – Ilas bog (Primorskij region), Bol'shoj moh bog (Onezhskij region) and Trofimovskoe bog (Mezenskij region). The inverse trajectory statistics method using the HYSPLIT model was applied to study air mass patterns. Quantitative assessment of pollution was carried out for Pb, Cd, As, Zn, Ni, Cr and Cu based on official data on pollutants emissions into the atmosphere in cities and regions of the Russian Federation. Maximum heavy metal concentrations for the three mires were found to be expected in winter due to the meteorological characteristics of the season. This indicates an increase in anthropogenic pressure on the mires and related watercourses during snowmelt. It was revealed that Cu, Ni and Cr have the highest concentrations in air and surface fluxes and the quantitative distribution of elements varies between the three mires significantly. Murmansk region is the major emission source of Cu and Ni towards our objects of study. The inverse trajectory statistics method can be used both to identify pollution sources and to predict and prevent possible environmental disasters.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
