Open AccessEnsuring the Environmental Safety of Large Cities Based on an Innovative Approach to Predicting Atmospheric Air Pollution
Author(s) -
Elena Andreeva,
I. N. Lipovitskaya,
Е. О. Лазарева,
С. С. Андреев,
Maria Zharkova
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/852/1/012007
Subject(s) - hydrometeorology , air quality index , quality (philosophy) , air pollution , environmental science , meteorology , sustainable development , environmental planning , environmental quality , environmental resource management , geography , precipitation , philosophy , chemistry , organic chemistry , epistemology , political science , law
Sustainable development of territories should be based on ensuring sufficient quality of the air basin. Air quality management, in turn, is based on adequate predictive models that allow the development of a number of measures to improve its quality. In this regard, the article is devoted to the discussion of issues of ensuring the environmental safety of territories, including rural ones, on the basis of the innovative approach developed by the authors to the implementation of the forecast of the air quality of the lower layer of the atmosphere. The choice of the object of study–the city of St. Petersburg–is connected with the fact that the city has a network of posts for environmental monitoring of the state of the air environment, providing up-to-date information for making a forecast scheme. As a result of the conducted research, the authors identified groups of meteorological and synoptic characteristics, as well as formed databases of hydrometeorological data and series of concentrations of a number of impurities for the period from 2006 to 2014. It is assumed that the successful application of the developed scheme for predicting the quality of atmospheric air will ensure the environmental safety of the population of urban and rural areas.