Calibration and assessment of electrochemical low-cost sensors in remote alpine harsh environments
<p>This work presents results from an original open-source low-cost sensor (LCS) system developed to measure tropospheric <span class="inline-formula">O<sub>3</sub></span> in a remote high altitude alpine site. Our study was conducted at the Col Margherita Obs...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2021-09-01
|
| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/14/6005/2021/amt-14-6005-2021.pdf |
| Summary: | <p>This work presents results from an original open-source low-cost sensor (LCS) system developed to measure tropospheric <span class="inline-formula">O<sub>3</sub></span> in a remote high altitude alpine site. Our study was conducted at the Col Margherita Observatory (2543 m above sea level), in the Italian Eastern Alps. The sensor system mounts three commercial low-cost <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msub><mi mathvariant="normal">O</mi><mn mathvariant="normal">3</mn></msub><mo>/</mo><msub><mi mathvariant="normal">NO</mi><mn mathvariant="normal">2</mn></msub></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="43pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="b3d0bba1cc7764e15aec7b31993063da"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-14-6005-2021-ie00001.svg" width="43pt" height="14pt" src="amt-14-6005-2021-ie00001.png"/></svg:svg></span></span> sensors that have been calibrated before field deployment against a laboratory standard (Thermo Scientific; 49i-PS), calibrated against the standard reference photometer no. 15 calibration scale of the World Meteorological Organization (WMO). Intra- and intercomparison between the sensors and a reference instrument (Thermo Scientific; 49c) have been conducted for 7 months from May to December 2018. The sensors required an individual calibration, both in laboratory and in the field. The sensor's dependence on the environmental meteorological variables has been considered and discussed. We showed that it is possible to reduce the bias of one LCS by using the average coefficient values of another LCS working in tandem, suggesting a way forward for the development of remote field calibration techniques. We showed that it is possible reconstruct the environmental ozone concentration during the loss of reference instrument data in situations caused by power outages. The evaluation of the analytical performances of this sensing system provides a limit of detection (LOD) <span class="inline-formula"><5</span> <span class="inline-formula">ppb</span> (parts per billion), limit of quantification (LOQ) <span class="inline-formula"><17</span> <span class="inline-formula">ppb</span>, linear dynamic range (LDR) up to <span class="inline-formula">250</span> <span class="inline-formula">ppb</span>,
intra-Pearson correlation coefficient (PCC) up to <span class="inline-formula">0.96</span>, inter-PCC <span class="inline-formula">>0.8</span>, bias <span class="inline-formula">>3.5</span> ppb and <span class="inline-formula">±8.5</span> at <span class="inline-formula">95</span> % confidence. This first implementation of a LCS system in an alpine remote location demonstrated how to obtain valuable data from a low-cost instrument in a remote environment, opening new perspectives for the adoption of low-cost sensor networks in atmospheric sciences.</p> |
|---|---|
| ISSN: | 1867-1381 1867-8548 |