Environmental monitoring of Lake Baikal

Pollution of bottom sediments of Lake Baikal

The map contains data characterising the bottom sediments pollution at the testing sites of Roshydromet (Federal Service for Hydrometeorology and Environmental Monitoring of Russia) on Lake Baikal in the area of influence of urban municipal wastewater of Baykalsk town, in the shallow waters of the Selenga River and in the zone of influence of the Baikal–Amur Mainline.

The map contains icons in the shape of upper and lower halves of circle in the area of testing sites. The colour of the top half of circle corresponds to the degree of bottom sediments pollution by benzo(a)pyrene (BP), while the lower half corresponds to accumulated polyaromatic hydrocarbons (PAHs).
There are 4 categories of the pollution degree baseline (green), low polluted (blue), moderately polluted (yellow), highly polluted (red). In the north of Baikal the semicircle colour corresponds to the pollution in the northwest area of the coastal margin, exposed to anthropogenic impact of the Baikal-Amur Mainline route, and in the shallow waters of Selenga river - to the site of the largest branch of Ust-Harauz.

If you hover over an icon, a window will appear with quantitative characteristics of the bottom sediment pollution of one of the three polygons, as well as the exposed area of Baikal-Amur Mainline and Ust-Harauz. 1 2 3

When compared with the results of observations of previous years, the data of hydrochemical and geochemical control of groundwater and bottom sediments obtained in 2014 indicates a decrease in the anthropogenic impact in the area of wastewater discharge from the waste treatment facility of the city of Baikalsk.

Compared to previous years, in 2014, no significant changes in the state of bottom sediments and groundwater were observed in the area of influence of the Baikal-Amur Mainline route..

In 2014, in the area of the Selenga Shallow Waters, the values of hydrochemical indicators obtained in the framework of the bottom sediments monitoring didn’t exceed the long-term annual average values.

There was used the data of the Federal State Budgetary Institution “Hydrochemical Institute” of Roshydromet (Russian Meteorological Service), Rostov-on-Don; Federal State Budgetary Institution “Irkutsk Territorial Administration for Hydrometeorological and Environmental Monitoring” of Roshydromet