Empirical Mode Decomposition Applied to Urban Air Quality

1. Introduction

Ensuring the safety of supply chain logistics requires a detailed understanding of the long-term evolution of urban air quality. Data collected from supply chain logistics are analysed with empirical mode decomposition to identify the dominant influencing factors. The largest single share of the measured losses was attributable to urban air quality. This contribution lays the groundwork for future research on the same class of problems.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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