Testing approaches for calculating stomatal ozone fluxes from passive samplers

Vicent Calatayud, José Jaime Diéguez, Pierre Sicard, Marcus Schaub, Alessandra De Marco

Research output: Contribution to journalArticle

8 Citations (Scopus)


Current ozone (O3) levels are high enough to negatively affect vegetation and may become worse in the future. Ozone risk assessments have recently shifted from exposure-based to flux-based metrics. Modeling stomatal O3fluxes requires hourly O3and meteorological data, which are not always available. Large datasets of O3concentrations measured with passive samplers exist worldwide, and usually provide weekly to monthly means. We tested the suitability of using aggregated data instead of hourly data for O3flux calculations with 3-year time series of O3data from 24 Spanish air quality stations. Five different approaches and three different parameterizations were tested. Ozone-averaged values in combination with hourly meteorological data provided the most robust estimates of accumulated O3fluxes (Phytotoxic Ozone Dose with no threshold, POD0), and the median of the absolute percent error (MAPE) due to aggregation came close to 5%. Aggregations from 1 week to 1 month yielded similar errors, which is important in the cost-efficiency terms of the chosen passive sampler exposure periodicity. One major limitation of these approaches is that they are not suitable for high POD thresholds, and that accuracy of the measurements with passive samplers has to be strictly assured in order to finally obtain acceptable errors. A combination of meteorological data and O3passive sampler measurements may be used to estimate O3fluxes at remote forest sites as a valuable risk assessment tool.
Original languageEnglish
Pages (from-to)56 - 67
Number of pages12
JournalScience of the Total Environment
Publication statusPublished - 1 Dec 2016
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Environmental Chemistry
  • Waste Management and Disposal
  • Pollution

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