Author(s)

Li Lei^1*, Xinli Chen², Wei Liu³

¹Business School, Jiangnan University, Wuxi, China.
²School of Social Development and Public Policy, Fudan University, Shanghai, China.
³School of Internet of Things Engineering, Jiangnan University, Wuxi, China.

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.

Urban Agglomeration, Air Quality, Optimal Information Aggregation, Dynamical Evaluation, Plant Growth Simulation Algorithm

Lei, L. , Chen, X. and Liu, W. (2021) A New Method for Comprehensive Evaluation of Air Quality in Urban Agglomeration. Atmospheric and Climate Sciences, 11, 547-562. doi: 10.4236/acs.2021.113033.