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Landslides are one of the important natural threats that often cause loss of life and property in Kazakhstan. One of the regions affected by landslides of different types and sizes that occur for different reasons in the country is the Rudny Altay Region in the east of Kazakhstan. This study deals with the landslide susceptibility assessment using remote sensing methods in Rudny Altai region of East Kazakhstan. The landslide inventory map was created based on historical information, remote sensing images, and field surveys. Images of 4 selected sites (Tikhaya, Berezovka, Manat and Chernovaya) were examined to determine potential landslide susceptibility. In combined Analytical Hierarchy Process method and GIS (AHP-GIS) used in this study, values are assigned to the selected indicators (layers) from low to high landslide susceptibility potential (1-5). Thus, to assess the potential of landslide processes, the following indicators were selected: calculated values of surface slope according to the NASADEM digital elevation model, soil density, average monthly precipitation OpenLandMap, and median values of the normalized difference vegetation index (NDVI). As a result, the data were obtained and maps of landslide susceptibility of the study areas were created. According to the research results, the highest coefficient of damage to the area by landslide processes is noted in Tikhaya, and the lowest - in Manat. On average, the coefficient of landslide damage in the Rudny Altai area is 0.03, which is a low indicator for this region. The results obtained with the study showed that about 25% of the study area had moderate to high landslide susceptibility. Accordingly, landslide susceptibility is high in the southwest and south of the study area, especially in mountainous areas where slopes are steep and in sloping areas in the south. It was revealed that the results obtained in this study are quite successful in determining the landslide susceptibility of the study area. The findings of the study can contribute in the effective management of the Rudny Altai Region.

期刊论文 2024-03-01 DOI: 10.21163/GT_2024.191.11 ISSN: 1842-5135

Air pollution is a global issue that often transcends national borders, leading to disputes over environmental concerns and climate-mitigation responsibilities. Between March and July 2020, we collected aerosol samples in Jimunai, a town in western China neighboring Kazakhstan, to assess transboundary air pollution in the region. Our analysis focused on major water-soluble inorganic ions (WSIs), with Ca2+ and SO42- accounting for almost 60% of the total ion loading. The ratio of cations to anions was greater than one (1.33 & PLUSMN; 0.27), indicating alkaline aerosols during the sampling period. Our results suggest that the pollutants measured were primarily sourced from Kazakhstan, as demonstrated by local meteorological data, air-mass trajectory analysis, and pollutant emission inventories in Kazakhstan. Correlation and primary component analysis indicated that NH4+ played an important role in neutralizing NO3- and SO42-, while Cl- was significantly depleted by the probable reaction HNO3 & UARR; + NaCl = HCl & UARR; + NaNO3. These findings highlight the need for continued monitoring and regulation of air pollution sources in the region to address transboundary air pollution.

期刊论文 2023-09-01 DOI: http://dx.doi.org/10.1007/s11356-023-29083-7 ISSN: 0944-1344
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