Geoecological zoning of the eastern part of Nurinsky district of Karaganda region was performed for the first time to assess the conditions for construction of the motorway section within the framework of the One Belt, One Road idea. The paper analyzes current approaches to geoecological zoning of territorries and their use for the study area. The methodology included an integrated assessment of geo-ecological conditions with respect to geotechnical and geomorphological conditions using appropriate cartographic materials. The paper shows the role of geotechnical zoning in geo-ecological zoning of the territory. Based on the criteria selected in the ArcMap geo-information systems, maps of geo-ecological conditions and geo-ecological zoning of the eastern part of Nurinsky district, Karaganda region, were compiled. These maps can be used at pre-design stages of road or railway construction and other types of territorial development planning.

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In modern urbanized conditions, the human population is experiencing a constant effect of various exogenous factors - social, economic, environmental. That is quite a challenge to determine the leading or dominant influence factor of the current total. At the same time, there is no doubt that environmental impacts on the human population adversely affect the population health. Human habitation in highly polluted ambient air leads to the diseases of respiratory, nervous and circulatory system, and may contribute to the exacerbations of existing diseases and shorten the life. The health of population residing under the continuous long-term negative environmental impact is progressively worsening. This study considers biogas formed in landfill mass of municipal solid waste landfills as an environmental impact. We created ecological pyramids with characteristics dependencies of the anthropogenic factor and human population in the biogas dispersion areas. The study gives a mathematical description of the human body response to effect from exposure to high levels of pollutants in ambient air.

Maintaining or increasing SOC concentration is fundamental for reducing the effects of global warming and increasing soil productivity. In this paper, a method based on Landsat 8 OLI products was developed for qualitatively monitoring in the Lake Valencia basin (Venezuela) the dynamic of SOC concentration between the years 2013 to 2018. The developed method uses the Green (B3), NIR (B5) and SW1 (B6) bands of Landsat 8 OLI sensor for detecting changes in the spectral signatures of bare soils that indicate possible variations in their concentrations of SOC. It was found that for the study period, the Lake Valencia basin soils do not present spectral features of significant variation in SOC concentration. An area of 8.61Km2 (0.3% of the study area) was identified as a zone with a possible reduction of SOC concentration. In case of insufficient data for developing remote sensing based predictive models, the proposed method allows qualitatively monitoring and categorizing the dynamic of SOC concentration and identifying areas with spectral features of a possible variation in SOC concentration.

Lake Valencia is the second most important natural freshwater basin in Venezuela. The expansion of industrial and agricultural activities and population growth over the past four decades has accelerated the process of eutrophication of the lake waters at such a rapid rate that it cannot be compensated by natural processes at present. Continuous monitoring of the trophic state of the lake, including remote sensing, is mandatory for collection of hydrobiological information, which allows developing effective strategies for monitoring and improving the quality of the lake's waters. Development and validation of a model for estimating the concentration of A-chlorophyll and the trophic state of Lake Valencia through the visible and near-infrared spectrum engaged multispectral satellite images Landsat 8 OLI in the present study. The results of measuring A-chlorophyll concentration at four sampling stations conducted in 2011 were also used. The proposed model showed a positive correlation of r 2 = 0.77 for the study conditions. A-chlorophyll concentration was estimated using a grid of 778 points located within the perimeter of the lake and on the basis of the proposed model. The Achlorophyll concentration increased by 11.48% from 2013 to 2019. The eutrophic state of Lake Valencia, characterized by TSI = 68.238 at the date of the last monitoring (20 February 2019), was confirmed.