the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dispersion normalisation method for improved long-term trend evaluation: Heavy Metals in ambient air in the Czech Republic, Central Europe (2010–2021)
Abstract. Long-term trends in atmospheric concentrations of heavy metals subject to legislative immission limits - Arsenic (6.0 ng m-3), Cadmium (5.0 ng m-3), Lead (500 ng m-3), and Nickel (20 ng m-3) - were evaluated at selected monitoring stations representing different environmental settings across the Czech Republic (in Central Europe) over twelve years. The dispersion normalisation method, which suppresses the influence of meteorological conditions on observed heavy metal concentrations, was employed to assess the effectiveness of legislative emission control measures. The results demonstrate statistically significant decreasing trends (p < 0.001) across all station types and all monitored heavy metals, except for Nickel at industrial stations, where no significant trend was detected. Furthermore, the systematic differences between original and dispersion-normalised concentration data confirm that meteorological variability can, in some cases, mask true emission levels, potentially leading to misinterpretation of air quality trends.
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Status: open (until 25 May 2026)
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RC1: 'Comment on ar-2026-15', Anonymous Referee #1, 13 May 2026
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CC1: 'Reply on RC1', Radek Lhotka, 13 May 2026
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We sincerely thank the reviewer for his/her thorough and constructive assessment of our manuscript. We are pleased that the reviewer found the study to be of high quality in terms of data, conducted on a robust temporal and spatial basis, and requiring only minor revisions. We will carefully consider all comments made in the comments and will revise our study accordingly.
Citation: https://doi.org/10.5194/ar-2026-15-CC1
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CC1: 'Reply on RC1', Radek Lhotka, 13 May 2026
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RC2: 'Comment on ar-2026-15', Anonymous Referee #2, 18 May 2026
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find attached
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CC2: 'Reply on RC2', Radek Lhotka, 20 May 2026
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We sincerely thank the reviewer for his detailed and constructive comments. We will carefully consider all suggestions described in the comments.
We will make linguistic and stylistic adjustments, acknowledging this deficiency in the manuscript, and will pay special attention to the results section.
Citation: https://doi.org/10.5194/ar-2026-15-CC2
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CC2: 'Reply on RC2', Radek Lhotka, 20 May 2026
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This study measures the long-term trends of atmospheric heavy metals (HMs) at various station types in the Czech Republic and applies the dispersion normalization method to demonstrate that, in some cases, meteorological variability can mask the true level of emissions. The study was conducted on a robust temporal (12-year) and spatial series, with statistically significant data for measured heavy metal concentrations and correlation analyses between stations confirming the representativeness of the groups by environmental type.
Except for Ni at the industrial site, the results demonstrate statistically significant (p < 0.001) decreasing trends at all station types and for all monitored heavy metals, confirming that dispersion normalization is a robust method capable of providing clearer results on the effectiveness of legislative emission control measures.
The article presents good data quality obtained using an appropriate methodology, therefore requiring minor revisions, as suggested below: