A decline in the concentration of PAHs in Elbe River suspended sediments in response to a source change
Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung
Beitragende
Abstract
This study focuses on the analysis of the long-term trends and source apportionment of PAHs in the suspended sediments of the Elbe River in Saxony, Germany, from 2001 to 2016. The results of the Mann-Kendall trend test indicated that the concentrations of total and individual PAHs exhibited decreasing trends during the 16-year study period. According to the positive matrix factorization (PMF) receptor model, primary sources for every four-year period were identified as oil burning, biomass burning, and vehicular emissions from gasoline and diesel-powered engines. The changes in the sources were consistent with the trends in vehicle numbers and energy consumption during the last 16 years. Furthermore, the results of total toxic benzo[a]pyrene equivalent (TEQ) values indicated potential cancer risks. The results of the mean hazard quotient (MHQ) suggested that PAHs exhibited a 21% probability of being toxic to benthic organisms and to the aquatic environment.
Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 438-446 |
| Seitenumfang | 9 |
| Fachzeitschrift | Science of the total environment |
| Jahrgang | 663 |
| Publikationsstatus | Veröffentlicht - 1 Mai 2019 |
| Peer-Review-Status | Ja |
Externe IDs
| PubMed | 30716635 |
|---|
Schlagworte
Ziele für nachhaltige Entwicklung
- SDG 3 – Gute Gesundheit und Wohlergehen - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
- SDG 7 – Erschwingliche und saubere Energie - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
ASJC Scopus Sachgebiete
- Environmental engineering - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
- Umweltchemie - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
- Abfallwirtschaft und -entsorgung - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
- Umweltverschmutzung - Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty
Schlagwörter
- Long-term trend, PAHs, PMF receptor model, Risk assessment, Source apportionment, Uncertainty