In this study, a new method for a comprehensive evaluation of air quality
in urban agglomerations was developed based on a prototype used to solve the
spatial Steiner-Weber point. With this method, the air quality information of
each city in the city group is aggregated into an optimal gathering point, and
then the air quality of the city group is then dynamically evaluated each year.
According to the relevant data of the China Statistical Yearbook 2018, we
applied this method to aggregate the air quality indices of the major cities in
the Beijing-Tianjin-Hebei urban agglomeration from 2014 to 2017. Using the
plant growth simulation algorithm (PGSA), the optimal assembly points were
calculated to be of a higher accuracy, compared to the traditional mean value
aggregation method. Finally, the air quality of the Beijing-Tianjin-Hebei urban
agglomeration during each year was evaluated dynamically based on the obtained
assembly points. The results show that the air quality of the urban
agglomeration is ranked as follows: Y2016Y2015Y2017Y2014.
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