{"title":"Observations of surface CO2 at an urban station in Wuhan, Central China: temporal variations, sources, and sinks","authors":"Wei Liu , Huang Zheng , Feng Ding , Junying Zhang , Yongchun Zhao , Zhuo Xiong , Qian Wu , Linjun Li","doi":"10.1016/j.apr.2025.102614","DOIUrl":null,"url":null,"abstract":"<div><div>Observation of atmospheric carbon dioxide (CO<sub>2</sub>) is important to understand its temporal variations, sources, and sinks, which ultimately help mitigate its climate effects. While most CO<sub>2</sub> observations are conducted in background or remote regions, fewer studies focus on urban areas. This study reported a one-year continuous observation of CO<sub>2</sub> at an urban site in Wuhan, Central China. In 2023, the average CO<sub>2</sub> concentration at this site was 459 ± 23.5 ppm, which was 5.53 % higher than mean values collected from other urban stations. Using the moving average filtering method, the CO<sub>2</sub> concentrations were filtered as a pollution source, background, and absorption sink with mean concentrations of 494 ± 21.1 ppm, 455 ± 16.1 ppm, and 434 ± 9.61 ppm, respectively. Temporal variations of these components showed similar monthly trends but different diurnal patterns, reflecting the influences of terrestrial ecosystems and human activities. Model simulations from Carbon Tracker indicated that fossil fuel combustion was the primary source, increasing CO<sub>2</sub> levels by 125 ppm. The ocean and biosphere acted as CO<sub>2</sub> sinks, reducing concentrations by 31.6 ppm and 31.2 ppm, respectively. The conditional bivariate probability function results suggested that urban CO<sub>2</sub> levels were influenced by local emissions and regional transports. Combined with backward trajectory analysis and CO<sub>2</sub> emission inventory, the local and regional contributions were further quantified with percentages of 81.9 % and 18.1 %, respectively. This study enhances our understanding of greenhouse gas behaviors and contributes to efforts to achieve carbon neutrality in urban areas.</div></div>","PeriodicalId":8604,"journal":{"name":"Atmospheric Pollution Research","volume":"16 10","pages":"Article 102614"},"PeriodicalIF":3.9000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atmospheric Pollution Research","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1309104225002168","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Observation of atmospheric carbon dioxide (CO2) is important to understand its temporal variations, sources, and sinks, which ultimately help mitigate its climate effects. While most CO2 observations are conducted in background or remote regions, fewer studies focus on urban areas. This study reported a one-year continuous observation of CO2 at an urban site in Wuhan, Central China. In 2023, the average CO2 concentration at this site was 459 ± 23.5 ppm, which was 5.53 % higher than mean values collected from other urban stations. Using the moving average filtering method, the CO2 concentrations were filtered as a pollution source, background, and absorption sink with mean concentrations of 494 ± 21.1 ppm, 455 ± 16.1 ppm, and 434 ± 9.61 ppm, respectively. Temporal variations of these components showed similar monthly trends but different diurnal patterns, reflecting the influences of terrestrial ecosystems and human activities. Model simulations from Carbon Tracker indicated that fossil fuel combustion was the primary source, increasing CO2 levels by 125 ppm. The ocean and biosphere acted as CO2 sinks, reducing concentrations by 31.6 ppm and 31.2 ppm, respectively. The conditional bivariate probability function results suggested that urban CO2 levels were influenced by local emissions and regional transports. Combined with backward trajectory analysis and CO2 emission inventory, the local and regional contributions were further quantified with percentages of 81.9 % and 18.1 %, respectively. This study enhances our understanding of greenhouse gas behaviors and contributes to efforts to achieve carbon neutrality in urban areas.
期刊介绍:
Atmospheric Pollution Research (APR) is an international journal designed for the publication of articles on air pollution. Papers should present novel experimental results, theory and modeling of air pollution on local, regional, or global scales. Areas covered are research on inorganic, organic, and persistent organic air pollutants, air quality monitoring, air quality management, atmospheric dispersion and transport, air-surface (soil, water, and vegetation) exchange of pollutants, dry and wet deposition, indoor air quality, exposure assessment, health effects, satellite measurements, natural emissions, atmospheric chemistry, greenhouse gases, and effects on climate change.