Abstract
Pollutant analysis and pollution source tracing are critical issues in air quality management, in which correlation analysis is important for pollutant relation modeling. A dynamic correlation analysis method was proposed to meet the real-time requirement in atmospheric management. Firstly, the spatio-temporal analysis framework was designed, in which the process of data monitoring, correlation calculation, and result presentation were defined. Secondly, the core correlation calculation method was improved with an adaptive data truncation and grey relational analysis. Thirdly, based on the general framework and correlation calculation, the whole algorithm was proposed for various analysis tasks in time and space, providing the data basis for ranking and decision on pollutant effects. Finally, experiments were conducted with the practical data monitored in an industrial park of Hebei Province, China. The different pollutants in multiple monitoring stations were analyzed crosswise. The dynamic features of the results were obtained to present the variational correlation degrees from the proposed and contrast methods. The results proved that the proposed dynamic correlation analysis could quickly acquire atmospheric pollution information. Moreover, it can help to deduce the influence relation of pollutants in multiple locations.
Highlights
In the rapid expansion of society and economy, pollutants and sources are emerging as threats to indoor and outdoor air quality, various measures have been conducted to control pollution.In practice, many information systems are established to monitor pollutant discharge
The influence relation is important for the management of environment and public health [1,2]
The paper focused on the analysis method of pollutants and sources, which can provide a solution to the emerging issues in air quality management
Summary
In the rapid expansion of society and economy, pollutants and sources are emerging as threats to indoor and outdoor air quality, various measures have been conducted to control pollution. Many information systems are established to monitor pollutant discharge. The systems usually provide the functions of real-time monitoring and trend prediction. The functions provide only the basic information for the administrator and decision maker. The influence relation is important for the management of environment and public health [1,2]. There is an urgent demand to explore the influence relation of pollutants and the potential pollution sources. The paper focused on the analysis method of pollutants and sources, which can provide a solution to the emerging issues in air quality management
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