Journal
RSC ADVANCES
Volume 5, Issue 90, Pages 73490-73500Publisher
ROYAL SOC CHEMISTRY
DOI: 10.1039/c5ra14993b
Keywords
-
Categories
Funding
- Beijing Natural Science Foundation [8152013]
- Importation & Development of High-Caliber Talents Project of Beijing Municipal Institutions [CITCD201404076]
- National Natural Science Foundation of China [51478026]
- Special Fund for Cultivation and Development Project of the Scientific and Technical Innovation Base [Z141109004414087]
- Project for Cooperation & Innovation under the Jurisdiction of Beijing Municipality
- Open Research Fund Program of Key Laboratory of Urban Stormwater System and Water Environment (Ministry of Education)
Ask authors/readers for more resources
In this work, DOM was extracted from urban stormwater runoff samples collected at three typical regions (business, residential and campus regions) in Beijing, China. A comparison between the chemical characteristics of DOM extracted from these three regions was performed using UV-visible spectrometry (UV-vis), excitation-emission matrix (EEM) fluorescence, proton nuclear magnetic resonance spectroscopy (H-1 NMR) and ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF-MS). The UV-vis and EEM spectra revealed that the DOM in stormwater runoff samples mainly contained UV humic-like (peak A) compositions with higher molecular weights. H-1 NMR analysis indicated that the DOM of the three regions contained a similar distribution of functional groups, which mainly consisted of aliphatic chains and aromatic components with carbonyl, hydroxyl or alkyl terminal groups. And the UHPLC-Q-TOF-MS demonstrated the identification and characterization of possible compounds existing in the DOM. Further studies should focus on the interactive relationship between DOM and the co-existing contaminants (heavy metals and some typical organic pollutants) in stormwater runoff.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available