Creation of GIS for monitoring of management of nature use in the Lake Baikal basin

2018 ◽  
Keyword(s):  
Lake Baikal ◽  
Baikal Basin ◽  
Lake Baikal Basin

INTEGRAL ASSESSMENT OF ANTHROPOGENIC PRESSURE ON WATER BODIES IN THE LAKE BAIKAL BASIN

2020 ◽  
Author(s):  
Irina Ulzetueva ◽  
Bair Gomboev ◽  
Daba Zhamyanov ◽  
Valentin Batomunkuev ◽  
Zorikto Banzaraktsaev
Keyword(s):  
Lake Baikal ◽  
River Basins ◽  
Anthropogenic Load ◽  
Anthropogenic Pressure ◽  
Linear Network ◽  
Baikal Basin ◽  
Discharge Water ◽  
Lake Baikal Basin ◽  
Integral Assessment ◽  
The Impact

The integrated assessment of the ecological state of the main rivers of the lake Baikal basin - Verkhnyaya Angara, Tyya, Barguzin, Selenga, Snezhnaya, Bolshaya Rechka, Khilok, Chikoy is based on the assessment of the variability of the basin system under the influence of two groups of indicators: 1) Direct (immediate) impact - the volume of water intake and wastewater discharge, water use and sequential water supply. Assessment of the impact on the state of the above-listed rivers basins from wastewater was performed using the algorithm proposed by A. Korolev et al. (2007). 2) Indirect (mediate) impact - indicators of areal and linear-network impacts on the catchment area. Based on the calculation of the integral anthropogenic pressure on the territory of the above-listed river basins, only the Selenga river experiences an “average” anthropogenic load. On the territory of most river basins, the anthropogenic load is “lowered” and “low”.

Principles of regionalization of the Baikal region on the hazardous geomorphological processes for the purpose of mapping

2018 ◽  
Vol 932 (2) ◽  
pp. 22-35
Author(s):  
S.B. Kuzmin ◽  
D.A. Lopatkin
Keyword(s):  
Lake Baikal ◽  
Russian Federation ◽  
Baikal Region ◽  
Improved Method ◽  
The South ◽  
Baikal Basin ◽  
Lake Baikal Basin ◽  
South Siberia ◽  
The Russian Federation ◽  
Geomorphological Processes

Mapping of hazardous geomorphological processes in the Baikal Region and its ecological and geomorphological zoning was carried out on the basis of the improved method, developed earlier by the authors. Baikal Region includes the subjects of the Russian Federation in the South Siberia and Republic of Mongolia within the boundaries of the Lake Baikal Basin. The basis of zoning are

Formation of the Ion Composition of the Barguzin River Waters (Lake Baikal Basin) under the Conditions of Saline Landscapes

2020 ◽  
Vol 495 (1) ◽  
pp. 858-861
Author(s):  
V. N. Sinyukovich ◽  
V. G. Shiretorova ◽  
I. V. Tomberg ◽  
L. M. Sorokovikova ◽  
L. D. Radnaeva ◽  
...  
Keyword(s):  
Lake Baikal ◽  
Ion Composition ◽  
River Waters ◽  
Baikal Basin ◽  
Lake Baikal Basin

Environmental change in the Selenga River—Lake Baikal Basin

2017 ◽  
Vol 17 (7) ◽  
pp. 1945-1949 ◽  
Author(s):  
Nikolay Kasimov ◽  
Daniel Karthe ◽  
Sergey Chalov
Keyword(s):  
Environmental Change ◽  
Lake Baikal ◽  
Baikal Basin ◽  
Selenga River ◽  
Lake Baikal Basin

scholarly journals Effects of Climatic Warming and Wildfires on Recent Vegetation Changes in the Lake Baikal Basin

Climate ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 57 ◽  
Author(s):  
Alexander N. Safronov
Keyword(s):  
Lake Baikal ◽  
Fold Increase ◽  
Heavy Rain ◽  
Burned Area ◽  
Vegetation Changes ◽  
Baikal Basin ◽  
Burned Areas ◽  
Global Circulation ◽  
Lake Baikal Basin ◽  
Rain Season

The vegetation changes in the area of the Russian part of the Lake Baikal water basin for the period 2010–2018 were investigated using MCD12C1 land cover. The decline in swamp systems area began in 2012 and continued until 2015, after which it partially recovered during the heavy rain season in 2018. During the period of 2010–2018, the area covered by forests did not exceed 20.3% of the Baikal basin of the total portion of the Baikal basin under study. Deforestation began in 2013 and continued until 2017. Over 2013–2018, the forest level decreased by 12.1% compared to the forest state in 2013. The analysis of summer rainfalls and aridity indexes was performed by using CRU TS and GPCC climatic datasets. It is shown that the interannual variations of precipitation and aridity changes are determined by the variability of the global circulation of moist air masses. The MCD64A1 (burned area) and MCD14ML (active fires) MODIS products were used for investigation of the influence of wildfires on vegetation changes. The spatial hotspot distributions and burned areas in general correspond to aridity zones, but they cannot explain the 20-fold increase in the number of wildfires. Most of the hotspot locations are away from settlements, roads, and loggings, in difficult-to-access mountainous areas, as well as in the low-inhabited areas of Siberia. We assume that the nature of such ignitions includes dry thunderstorms, pyrocumulus lightning, or remote impact.

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