Dissolved organic matter signatures in urban surface waters: spatio-temporal patterns and drivers
<p>Advances in analytical chemistry have facilitated the characterization of dissolved organic matter (DOM), which has improved understanding of DOM sources and transformations in surface waters. For urban waters, however, where DOM diversity is likely to be high, the interpretation of DOM sig...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-06-01
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| Series: | Biogeosciences |
| Online Access: | https://bg.copernicus.org/articles/19/2841/2022/bg-19-2841-2022.pdf |
| Summary: | <p>Advances in analytical chemistry have facilitated the characterization of
dissolved organic matter (DOM), which has improved understanding of DOM
sources and transformations in surface waters. For urban waters, however,
where DOM diversity is likely to be high, the interpretation of DOM
signatures is hampered by a lack of information on the influence of land
cover and anthropogenic factors such as nutrient enrichment and release of
organic contaminants. Here we explored the spatio-temporal variation in DOM
composition in contrasting urban water bodies, based on spectrophotometry
and fluorometry, size-exclusion chromatography, and ultrahigh-resolution mass
spectrometry, to identify linkages between DOM signatures and potential
drivers. The highly diverse DOM we observed distinguished lakes and ponds,
which are characterized by a high proportion of autochthonous DOM, from
rivers and streams where allochthonous DOM is more prevalent. Seasonal
variation in DOM composition was apparent in all types of water bodies,
apparently due to interactions between phenology and urban influences, such
as nutrient supply, the percentage of green space surrounding the water
bodies and point source pollution. Optical DOM properties also revealed the
influence of effluents from wastewater treatment plants, suggesting that
simple optical measurements can be useful in water quality assessment and
monitoring, providing information about processes both within water bodies and in their
catchments.</p> |
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| ISSN: | 1726-4170 1726-4189 |