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Forecasting Air Quality Indicators for 33 Cities in China
Author(s) -
Wu Lifeng,
Zhao Hongying
Publication year - 2020
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201900097
Subject(s) - particulates , environmental science , beijing , air quality index , china , nitrogen dioxide , sulfur dioxide , air pollution , pollutant , pollution , air pollutants , atmospheric sciences , meteorology , geography , chemistry , geology , inorganic chemistry , ecology , organic chemistry , archaeology , biology
The Jing‐Jin‐Ji (Beijing‐Tianjin‐Hebei) and the surrounding Jin‐Lu‐Yu (Shanxi‐Shandong‐Henan) regions are experiencing severe problems with air pollution. To measure the change in pollutant concentrations over the next few years, the fractional order accumulation grey model is used to forecast the air quality indicators. The results show that the concentrations of fine particulate matter, particulate matter 10, and sulfur dioxide show a downward trend, and 8‐h O 3 (annual) and 8‐h O 3 (spring and summer) show an upward trend in these areas. There is a slight increase in nitrogen dioxide concentration in Shanxi, but its concentration in other areas shows a slight decline. The results obtained can provide a clear direction for air quality management decisions.