A small-volume multiplexed pumping system for automated, high-frequency water chemistry measurements in volume-limited applications
<p>An automated multiplexed pumping system (MPS) for high-frequency water chemistry measurements at multiple locations previously showed the ability to increase spatial and temporal data resolution and improve understanding of biogeochemical processes in aquatic environments and at the land...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2018-10-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/22/5615/2018/hess-22-5615-2018.pdf |
| Summary: | <p>An automated multiplexed pumping system (MPS) for high-frequency water
chemistry measurements at multiple locations previously showed the ability to
increase spatial and temporal data resolution and improve understanding of
biogeochemical processes in aquatic environments and at the land–water
interface. The design of the previous system precludes its use in
volume-limited applications in which highly frequent measurements requiring
a large sample volume would significantly affect observed processes. A small-volume MPS was designed to minimize the sample volume while still providing high-frequency data. The system was tested for cross-contamination between
multiple sources, and two applications of the technology are reported. Cross-contamination from multiple sources was shown to be negligible when using
recommended procedures. Short-circuiting of flow in a bioreactor was directly
observed using high-frequency porewater sampling in a well network, and the
small-volume MPS showed high seasonal and spatial variability of nitrate
removal in stream sediments, enhancing data collected from in situ mesocosms.
The results show it is possible to obtain high-frequency data in
volume-limited applications. The technology is most promising at the reach or
transect scale for observing porewater solute dynamics over daily timescales, with data intervals < 1 h for up to 12 locations.</p> |
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| ISSN: | 1027-5606 1607-7938 |