the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Satellites reveal a 28 % drop in Ukraine’s Nitrogen oxides emissions during the Russia-Ukraine war in 2022
Abstract. The outbreak of the Russia–Ukraine war in 2022 brought a huge impact on the Ukrainian economic production. To quantify this effect, we invert the anthropogenic Nitrogen oxides (NOx) emissions in Ukraine from 2019 to 2022, a key indicator of human activities, to reflect the disruption of activities in different economic sectors due to war. We found a 28 % decline in NOx emissions during the war, if compared with the base year, which significantly exceeded the decrease caused by the 2020 COVID-19 pandemic. Eastern Ukraine experienced a 34 % decrease in NOx emissions, whereas the other regions experienced a decrease of 24 %. The destruction of infrastructure and energy shortages severely impact the sustainable development of such social activities as industry, housing and transportation in Ukraine. These findings highlight the severe disruption of socio-economic activities due to the war, offering crucial insights into the broader implications of war on environmental and economic stability.
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Status: open (until 17 Apr 2025)
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RC1: 'Comment on egusphere-2024-3672', Anonymous Referee #2, 11 Apr 2025
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Review on Satellites reveal a 28% drop in Ukraine’s Nitrogen oxides emissions during the Russia-Ukraine war in 2022
by Yu Mao, Weimin Ju, Hengmao Wang , Liangyun Liu, Haikun Wang, Shuzhuang Feng, Mengwei Jia, and Fei Jiang
The manuscripts is a detailed application description of the method introduced in a previous publication Mao et al 2024 (Mao, Y., Wang, H., Jiang, F., Feng, S., Jia, M., and Ju, W.: Anthropogenic NOx emissions of China, the U.S. and Europe from 2019 to 2022 inferred from TROPOMI observations, Environ. Res. Lett., https://doi.org/10.1088/1748-9326/ad3cf9, 2024).
It shows in detail where the war in the Ukraine destroyed most of the ecomic and sozial (and human) live. The results are based on the comparison of modeled columns based on prior emissions, which are than adapted to satellite observations. The study focuses on the years 2019 (a pre-covid baseline) and the year 2022. The pandemic is included as small side note. The impact of the pandemic Ukraine’s NOx emissions was negligible for compared to the Russian invasion.
Mayor comments
According to (https://www.temis.nl/airpollution/no2col/tropomi_no2_data_versions.php, March 2025) version 2.4 or higher of the TROPOMI NO2 data is reommended. There was a major version change in July 2022, I am not sure the version 2.3.1 (page 4 line 124) is appropriate for the presented study focusing on 2022. I recommend to double check the results using latest version of TROPOMI NO2 data. In this context I ask for your apologies that I did not realize in the pre-review.
Minor comments
The war has continued for 3 too long years. How did the emissions change in the second year?
page 5 line 138: The inversion is performed on a Monthly basis (due to the observation gaps of the satellite). Please elaborate in more detail what this means. Does this include that the wind fields are averaged over a month. Or where the daily observations for TROPOMI and the meteorological data used and the emission assumed to be constant for the one month.
P6/7 L188: The assumption if the dominant sector is really constant over time is not justified – Also the authors themselves state that it might not be correct. However I am afraid that large parts of the conclusions are based on this assumptions. Or is there any other way to distribute the NOx emissions among the different sources?
P13 L339: The prior emissions are stated to be overestimated by 80%. This I s quite large has this been confirmed by similar studies?
Figure 2: The Crimea peninsular in the South of Ukraine has been occupied since 2014. What causes the NOx reduction there?
Technical comments
p3 l 93: the sentence beginning with Meteorological data can be split into two, remove the word “while”.
p5 l141: “global” instead of “g lobal”
Citation: https://doi.org/10.5194/egusphere-2024-3672-RC1
Data sets
European anthropogenic NOx emission inversion based on TROPOMI satellite observations and GEOS-Chem modeling from 2019 to 2022 Yu Mao https://zenodo.org/records/12540012
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