Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta
Abstract The development of Jakarta as a metropolitan city worsens the PM2.5 concentration in the area, causes health problems for the citizens, and becomes a major public concern. In this study, we use Pearson correlation and convergent cross mapping (CCM) to analyze any correlation between air qua...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-06-01
|
| Series: | Aerosol and Air Quality Research |
| Subjects: | |
| Online Access: | https://doi.org/10.4209/aaqr.230014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823862786109734912 |
|---|---|
| author | Tri Istiana Budhy Kurniawan Santoso Soekirno Alberth Nahas Alvin Wihono Danang Eko Nuryanto Suko Prayitno Adi Muhammad Lukman Hakim |
| author_facet | Tri Istiana Budhy Kurniawan Santoso Soekirno Alberth Nahas Alvin Wihono Danang Eko Nuryanto Suko Prayitno Adi Muhammad Lukman Hakim |
| author_sort | Tri Istiana |
| collection | DOAJ |
| description | Abstract The development of Jakarta as a metropolitan city worsens the PM2.5 concentration in the area, causes health problems for the citizens, and becomes a major public concern. In this study, we use Pearson correlation and convergent cross mapping (CCM) to analyze any correlation between air quality and individual meteorological parameters, as well as the local PM2.5 nonlinear coupling pattern at two different locations in Jakarta. The influence of meteorological parameters and other pollutants in various seasons can be used to determine the variability of PM2.5. We found that the PM2.5 concentration is affected by PM10, SO2, and NO2 pollutant and is negatively correlated with precipitation, relative humidity, and the wind speed in all variations of the season. Causality analysis using CCM showed that PM2.5 coupling patterns differ for every season. The highest causality values (ρ) for air quality parameters are 0.74 (PM10), 0.68 (SO2), 0.52 (wind speed), and 0.51 (temperature). In Central Jakarta and South Jakarta, the coupling pattern of PM2.5 concentration and air quality parameters increased during the DJF (December–February) season, while the coupling pattern of PM2.5 concentration and meteorological parameters increased during the DJF and MAM (March–May) seasons. During the JJA (June–August) season, most of the meteorological parameters did not have any impact, whereas the increased humidity during the SON (September– November) season also increased the PM2.5 concentration. In conclusion, the significant outcome of our research is to show that individual air quality and meteorological parameters had an influence on local PM2.5 concentrations in the Jakarta region. In addition, it has been proved that CCM can analyze mirage correlation better than other correlation methods. |
| format | Article |
| id | doaj-art-07a215744cba4c7d8c61335eaf87027b |
| institution | Kabale University |
| issn | 1680-8584 2071-1409 |
| language | English |
| publishDate | 2023-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Aerosol and Air Quality Research |
| spelling | doaj-art-07a215744cba4c7d8c61335eaf87027b2025-02-09T12:23:24ZengSpringerAerosol and Air Quality Research1680-85842071-14092023-06-0123911810.4209/aaqr.230014Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from JakartaTri Istiana0Budhy Kurniawan1Santoso Soekirno2Alberth Nahas3Alvin Wihono4Danang Eko Nuryanto5Suko Prayitno Adi6Muhammad Lukman Hakim7Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas IndonesiaDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas IndonesiaDepartment of Physics, Faculty of Mathematics and Natural Sciences, Universitas IndonesiaIndonesia Agency for Meteorology Climatology and Geophysics (BMKG)Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas IndonesiaIndonesia Agency for Meteorology Climatology and Geophysics (BMKG)Indonesia Agency for Meteorology Climatology and Geophysics (BMKG)Indonesia Agency for Meteorology Climatology and Geophysics (BMKG)Abstract The development of Jakarta as a metropolitan city worsens the PM2.5 concentration in the area, causes health problems for the citizens, and becomes a major public concern. In this study, we use Pearson correlation and convergent cross mapping (CCM) to analyze any correlation between air quality and individual meteorological parameters, as well as the local PM2.5 nonlinear coupling pattern at two different locations in Jakarta. The influence of meteorological parameters and other pollutants in various seasons can be used to determine the variability of PM2.5. We found that the PM2.5 concentration is affected by PM10, SO2, and NO2 pollutant and is negatively correlated with precipitation, relative humidity, and the wind speed in all variations of the season. Causality analysis using CCM showed that PM2.5 coupling patterns differ for every season. The highest causality values (ρ) for air quality parameters are 0.74 (PM10), 0.68 (SO2), 0.52 (wind speed), and 0.51 (temperature). In Central Jakarta and South Jakarta, the coupling pattern of PM2.5 concentration and air quality parameters increased during the DJF (December–February) season, while the coupling pattern of PM2.5 concentration and meteorological parameters increased during the DJF and MAM (March–May) seasons. During the JJA (June–August) season, most of the meteorological parameters did not have any impact, whereas the increased humidity during the SON (September– November) season also increased the PM2.5 concentration. In conclusion, the significant outcome of our research is to show that individual air quality and meteorological parameters had an influence on local PM2.5 concentrations in the Jakarta region. In addition, it has been proved that CCM can analyze mirage correlation better than other correlation methods.https://doi.org/10.4209/aaqr.230014PM2.5Pearson correlationCCMJakartanonlinear coupling |
| spellingShingle | Tri Istiana Budhy Kurniawan Santoso Soekirno Alberth Nahas Alvin Wihono Danang Eko Nuryanto Suko Prayitno Adi Muhammad Lukman Hakim Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta Aerosol and Air Quality Research PM2.5 Pearson correlation CCM Jakarta nonlinear coupling |
| title | Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta |
| title_full | Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta |
| title_fullStr | Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta |
| title_full_unstemmed | Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta |
| title_short | Causality Analysis of Air Quality and Meteorological Parameters for PM2.5 Characteristics Determination: Evidence from Jakarta |
| title_sort | causality analysis of air quality and meteorological parameters for pm2 5 characteristics determination evidence from jakarta |
| topic | PM2.5 Pearson correlation CCM Jakarta nonlinear coupling |
| url | https://doi.org/10.4209/aaqr.230014 |
| work_keys_str_mv | AT triistiana causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT budhykurniawan causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT santososoekirno causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT alberthnahas causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT alvinwihono causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT danangekonuryanto causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT sukoprayitnoadi causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta AT muhammadlukmanhakim causalityanalysisofairqualityandmeteorologicalparametersforpm25characteristicsdeterminationevidencefromjakarta |