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Low cost CO2 sensing: A simple microcontroller approach with calibration and field use.
Brown, S L; Goulsbra, C S; Evans, M G; Heath, T; Shuttleworth, E.
Afiliación
  • Brown SL; Geography Department, University of Manchester, United Kingdom.
  • Goulsbra CS; Geography Department, University of Manchester, United Kingdom.
  • Evans MG; Geography Department, University of Manchester, United Kingdom.
  • Heath T; Electrical and Electronic Engineering, University of Manchester, United Kingdom.
  • Shuttleworth E; Geography Department, University of Manchester, United Kingdom.
HardwareX ; 8: e00136, 2020 Oct.
Article en En | MEDLINE | ID: mdl-35498252
ABSTRACT
Understanding the spatial variability of gaseous carbon flux at a landscape scale requires intensive monitoring campaigns necessitating significant and perhaps prohibitive financial investment. Commercially available CO2 sensors may only partially fulfil the requirements of the researcher, thereby generating inadequate data. In this context we present the fully replicable designs for a low-cost, microcontroller-based gaseous CO2 concentration data logger suitable for field deployment at scale. It demonstrates a post-calibration accuracy of 96-99% and large onboard data storage for data collected at user-defined intervals. The sensor can be powered via USB or batteries, assembled by novice users, and produced for approximately £155. Post-calibration it was used to measure CO2 evasion from a peatland stream, environments known to be spatially and temporally variable CO2 sources, although potential applications are much wider in scope. The proliferation of low-cost, open-source, and user-made sensors in physical sciences could allow researchers to answer questions previously unanswerable due to the limitations of existing proprietary equipment. We encourage other research teams to use and adapt this design for a range of purposes and research questions beyond carbon processing in peatlands.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: HardwareX Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Health_economic_evaluation / Prognostic_studies Idioma: En Revista: HardwareX Año: 2020 Tipo del documento: Article País de afiliación: Reino Unido