B33A-0629
Automatic Web-Based, Radio-Network System To Monitor And Control Equipment For Investigating Gas Flux At Water – Air Interfaces
Wednesday, 16 December 2015
Poster Hall (Moscone South)
Nguyen T. Duc1, Samuel Silverstein2, Martin Wik3, Pieter Beckman4, Patrick M Crill3, David Bastviken5 and Ruth K Varner1, (1)University of New Hampshire Main Campus, Durham, NH, United States, (2)Stockholm University, Department of Physics, Stockholm, Sweden, (3)Stockholm University, Dept. of Geological Sciences, Stockholm, Sweden, (4)Southwest Research Institute, Univ of New Hampshire Campus, Durham, NH, United States, (5)Linköping University, Linköping, Sweden
Abstract:
Aquatic ecosystems are major sources of greenhouse gases (GHG). Robust measurements of natural GHG emissions are vital for evaluating regional to global carbon budgets and for assessing climate feedbacks on 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 automatic device that includes an easily mobile diffusive flux chamber and a bubble counter, all in one. Besides a function of automatically collecting gas samples for subsequent various analyses in the laboratory, this device utilizes low cost CO
2 sensor (SenseAir, Sweden) and CH
4 sensor (Figaro, Japan) to measure GHG fluxes.
To measure the spatial variability of emissions, each of the devices is equipped with an XBee module to enable a local radio communication DigiMesh network for time synchronization and data readout at a server-controller station on the lakeshore. Software of this server-controller is operated on a low cost Raspberry Pi computer which has a 3G connection for remote monitoring - controlling functions from anywhere in the world. From field studies in Abisko, Sweden in summer 2014 and 2015, the system has resulted in measurements of GHG fluxes comparable to manual methods. In addition, the deployments have shown the advantage of a low cost automatic network system to study GHG fluxes on lakes in remote locations.