Technical note: Greenhouse gas flux studies: an automated online system for gas emission measurements in aquatic environments
<p>Aquatic ecosystems are major sources of greenhouse gases (GHGs). Robust measurements of natural GHG emissions are vital for evaluating regional to global carbon budgets and for assessing climate feedbacks of natural emissions to improve climate models. Diffusive and ebullitive (bubble) tran...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-07-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/24/3417/2020/hess-24-3417-2020.pdf |
| Summary: | <p>Aquatic ecosystems are major sources of greenhouse gases
(GHGs). Robust measurements of natural GHG emissions are vital for evaluating
regional to global carbon budgets and for assessing climate feedbacks of
natural emissions to improve climate models. Diffusive and ebullitive
(bubble) transport are two major pathways of gas release from surface
waters. To capture the high temporal variability of these fluxes in a
well-defined footprint, we designed and built an inexpensive device that
includes an easily mobile diffusive flux chamber and a bubble counter all
in one. In addition to automatically collecting gas samples for subsequent
various analyses in the laboratory, this device also utilized a low-cost
carbon dioxide (<span class="inline-formula">CO<sub>2</sub></span>) sensor (SenseAir, Sweden) and methane (<span class="inline-formula">CH<sub>4</sub></span>)
sensor (Figaro, Japan) to measure GHG fluxes. Each of the devices was
equipped with an XBee module to enable local radio communication (DigiMesh
network) for time synchronization and data readout at a server controller
station on the lakeshore. The software of this server controller was operated on
a low-cost computer (Raspberry Pi), which has a 3G connection for remote
control and monitor functions from anywhere in the world. This study shows
the potential of a low-cost automatic sensor network system for studying GHG
fluxes on lakes in remote locations.</p> |
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| ISSN: | 1027-5606 1607-7938 |