Spatial and temporal characteristics of atmospheric CO2 and CH4 concentrations in Chungcheongnam-do, South Korea

To monitor climate change and support carbon neutrality, seven greenhouse gas monitoring stations were established in Chungcheongnam-do, South Korea. These were located in two urban areas (Cheonan and Asan), three industrial areas (Seosan, Dangjin and Boryeong), and two agricultural areas (Nonsan and Hongseong). From October to December 2024, carbon dioxide (CO₂ ) and methane (CH₄) concentrations were measured as representative greenhouse gases. The average CO₂ concentration across the seven areas was 458.1 ppm, with the highest observed in Dangjin at 465.0 ppm, and CO₂ concentrations tended to be higher in urban areas. Local factors, such as the location of the measurement site (e.g., city center vs. suburbs) and nearby pollution sources significantly influenced the concentrations. The average CH₄ concentration was 2.205 ppm, with the highest concentration in Dangjin at 2.259 ppm. While CO₂ and CH₄ concentrations varied by region, they generally increased from evening to early morning and decreased during the daytime. CO₂ showed a stronger correlation with nitrogen dioxide (NO₂) and carbon monoxide (CO) than did CH₄. CO₂ enhancement (ΔCO₂) varies depending on the definition of background concentration using direct measurements at background sites or statistical lower-bound values. This suggests that careful consideration is needed when applying different methodologies to study and assess the distribution characteristics of greenhouse gases.

Authors

Publication Details

Journal
Journal of Climate Change Research
Published
2025-06-30
DOI
https://doi.org/10.15531/ksccr.2025.16.3.513
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial and temporal characteristics of atmospheric CO2 and CH4 concentrations in Chungcheongnam-do, South Korea

N. Lee, Jung-Ho Yu, Jaehwa Lee, Jaehong Yoo
Journal of Climate Change Research
Atmospheric and Environmental Gas Dynamics
article

Spatial and temporal characteristics of atmospheric CO2 and CH4 concentrations in Chungcheongnam-do, South Korea

N. Lee, Jung-Ho Yu, Jaehwa Lee, Jaehong Yoo
article en

Abstract

To monitor climate change and support carbon neutrality, seven greenhouse gas monitoring stations were established in Chungcheongnam-do, South Korea. These were located in two urban areas (Cheonan and Asan), three industrial areas (Seosan, Dangjin and Boryeong), and two agricultural areas (Nonsan and Hongseong). From October to December 2024, carbon dioxide (CO₂ ) and methane (CH₄) concentrations were measured as representative greenhouse gases. The average CO₂ concentration across the seven areas was 458.1 ppm, with the highest observed in Dangjin at 465.0 ppm, and CO₂ concentrations tended to be higher in urban areas. Local factors, such as the location of the measurement site (e.g., city center vs. suburbs) and nearby pollution sources significantly influenced the concentrations. The average CH₄ concentration was 2.205 ppm, with the highest concentration in Dangjin at 2.259 ppm. While CO₂ and CH₄ concentrations varied by region, they generally increased from evening to early morning and decreased during the daytime. CO₂ showed a stronger correlation with nitrogen dioxide (NO₂) and carbon monoxide (CO) than did CH₄. CO₂ enhancement (ΔCO₂) varies depending on the definition of background concentration using direct measurements at background sites or statistical lower-bound values. This suggests that careful consideration is needed when applying different methodologies to study and assess the distribution characteristics of greenhouse gases.

Journal of Climate Change ResearchVol. 16(3-2)
Climate action
Openalex Percentile: Top 83%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.