A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Forecasting Air Quality Indicators for 33 Cities in China
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 O3 (annual) and 8‐h O3 (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.
Forecasting Air Quality Indicators for 33 Cities in China
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 O3 (annual) and 8‐h O3 (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.
Forecasting Air Quality Indicators for 33 Cities in China
Wu, Lifeng (author) / Zhao, Hongying (author)
2020-01-01
12 pages
Article (Journal)
Electronic Resource
English
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