2022
DOI: 10.5194/amt-15-4819-2022
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Monitoring greenhouse gases (GHGs) in China: status and perspective

Abstract: Abstract. In order to establish a creditable greenhouse gas (GHG) monitoring network to support the goals of carbon peak/neutrality, it is necessary to know what we have done and what we have to do in the future. In this study, we summarize an overview of the status and perspective of GHG monitoring in China. With decades of effort, China has made a great breakthrough in GHG monitoring capacity and steadily improved the performance of homemade GHG monitoring instruments. However, most GHG monitoring studies ha… Show more

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Cited by 9 publications
(1 citation statement)
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“…The former requires avoiding local emissions to better reflect large-scale fluxes (Laughner et al, 2023), while the latter needs to capture information about local emissions in order to quantify emission intensity (Tu et al, 2022). In 2021, under the supervision of the Ministry of Ecology and Environment of China, several Chinese cities initiated the construction of ground-based GHG monitoring networks to reflect the greenhouse gas fluxes in their respective urban areas (Sun et al, 2022;Zhang Y. et al, 2023). However, as of now, there have been no publicly available academic publications on the design methodology of such monitoring networks (Yang et al, 2024).…”
Section: Introductionmentioning
confidence: 99%
“…The former requires avoiding local emissions to better reflect large-scale fluxes (Laughner et al, 2023), while the latter needs to capture information about local emissions in order to quantify emission intensity (Tu et al, 2022). In 2021, under the supervision of the Ministry of Ecology and Environment of China, several Chinese cities initiated the construction of ground-based GHG monitoring networks to reflect the greenhouse gas fluxes in their respective urban areas (Sun et al, 2022;Zhang Y. et al, 2023). However, as of now, there have been no publicly available academic publications on the design methodology of such monitoring networks (Yang et al, 2024).…”
Section: Introductionmentioning
confidence: 99%