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Spatial dissimilarities in seasonal cycle of PM10 particulate matters in Seoul, Korea
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Bansal, Parth |
| Copyright Year | 2019 |
| Abstract | The increase in spatial and temporal resolution of pollution data has advanced the understanding of trend in pollutant concentration through time and space. However, this has also made inspection of time series and the relation between observations from different monitoring stations difficult to comprehend. In this study, we decompose PM 10 concentration time series (2010-2018) from 40 Air Quality Monitoring Stations (AQMs) in Seoul and then cluster the seasonal cyclic components using K-Means and K-Shape algorithms. Firstly, the influence of diurnal, weekly and annual cycle on PM 10 concentration is shown. Secondly, the clustering results illustrate that both algorithms are useful in determining AQMs with similar cycles, and together provide a comprehensive understanding of spatial differences in pollutant concentration. |
| Related Links | https://hal.science/hal-02193095/file/PM10.pdf |
| Language | English |
| Publisher | HAL CCSD |
| Access Restriction | Open |
| Subject Keyword | Seasonal Cycle K-Shape Seoul Korea PM10 Air Pollution |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Science |