
LOCAL MONITORING OF THE ENVIRONMENTAL SITUATION IN RESIDENTIAL AREAS WITH HIGH LEVELS OF ELECTROMAGNETIC RADIATION
Author(s) -
Noureddine Faiz,
Marat Satayev,
Abdugani Azimov,
Shermakhan Shapalov,
С.А. Тургульдинова
Publication year - 2021
Publication title -
izvestiâ nacionalʹnoj akademii respubliki kazahstan. seriâ geologii i tehničeskih nauk
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.323
H-Index - 9
eISSN - 2518-170X
pISSN - 2224-5278
DOI - 10.32014/2021.2518-170x.61
Subject(s) - geographic information system , non ionizing radiation , residential area , environmental science , population , computer science , geography , engineering , civil engineering , remote sensing , environmental health , physics , medicine , quantum mechanics
The growing energy demand of the city of Shymkent has led to the construction and introduction of new energy hubs, high-voltage power lines, which are being built and conducted around residential areas exposed to environmental and carcinogenic risks. In turn, when constructing new energy facilities, energy companies and designers should present a cartography of residential areas in the project, in addition to the features of the selected territories and the population, which becomes a multi-factor object and subject of research when taking into account environmental and sanitary-epidemiological requirements, as well as when choosing optimal solutions in terms of routing high-voltage power lines. In our case, the residential district of Nursat, Nazarbayev Avenue and Kazygurt were chosen as such objects, which are polluted residential areas from the point of view of the spread of electromagnetic radiation generated by high-voltage power lines with a voltage of 110 and 220 kV. The introduction of modern information technologies of a new generation made it possible to pinpoint and determine the main zones of electromagnetic radiation contamination, to establish the gradients of the electric and magnetic fields according to the degree of its impact, as well as to determine the number of residential objects that are partly exposed to carcinogenic and environmental risk by using the functional features of the geoinformation program.