globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2017.09.032
Scopus记录号: 2-s2.0-85030308174
论文题名:
Carbon dioxide emissions from lakes and reservoirs of China: A regional estimate based on the calculated pCO2
作者: Wen Z; , Song K; , Shang Y; , Fang C; , Li L; , Lv L; , Lv X; , Chen L
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 170
起始页码: 71
结束页码: 81
语种: 英语
英文关键词: Carbon cycling ; Carbon dioxide ; China ; Lakes ; Reservoirs
Scopus关键词: Biological materials ; Global warming ; Lakes ; Landforms ; Petroleum reservoirs ; Reservoirs (water) ; Saline water ; Water quality ; Carbon cycling ; Carbon dioxide emissions ; China ; Dissolved organic matters ; Environmental factors ; Environmental variables ; Lake sand reservoirs ; Total suspended solids ; Carbon dioxide ; carbon dioxide ; dissolved organic matter ; fresh water ; lake water ; phosphorus ; algorithm ; atmosphere ; atmosphere-hydrosphere interaction ; carbon cycle ; carbon dioxide ; carbon emission ; gas exchange ; karst ; karst hydrology ; karstification ; lake ; partial pressure ; plateau ; reservoir ; sampling ; water quality ; aqueous solution ; Article ; atmosphere ; carbon dioxide tension ; carbon footprint ; China ; environmental factor ; lake ; predictive value ; priority journal ; reservoir ; suspended particulate matter ; China ; China ; Nei Monggol ; Qinghai-Xizang Plateau ; Xinjiang Uygur ; Yunnan-Guizhou Plateau
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: The role of inland water in CO2 exchange with the atmosphere was evaluated on the basis of calculated partial pressure of CO2 (pCO2) from sampling of 207 lakes and 84 reservoirs across China in late summer. The results suggested that almost 60% of these water bodies were supersaturated with CO2 with respect to atmosphere, and the collected reservoirs samples exhibited higher mean pCO2 than lakes. The mean pCO2 in fresh water lakes was about 3.5 times of the value in saline lakes. The lakes and reservoirs were divided into five groups (Inner Mongolia -Xinjiang plateau region, Tibetan Plateau region, Northeastern plain and mountainous region, Yunnan- Guizhou Plateau region, and Eastern plain region). The Yunnan- Guizhou Plateau region showed the highest pCO2 compared with other regions, most likely due to the typical karst landforms, karst processes may promote aqueous CO2 concentration, and karstification has a significant effect on the capture of atmospheric CO2. Inner Mongolia-Xinjiang plateau and Tibetan Plateau region reserviors showed negative CO2 flux to atmosphere, other waters in this study all supersaturated with CO2 with respect to the atmosphere. A which We analyzed the relationship between pCO2 and environmental variables, and results showed that some indicators had correlations with pCO2 in individual region such as total phosphorus, dissolved organic matter, and total suspended solids, but the relationship could not be observed with all surveyed waters. This indicated that it might be much more effective in a smaller regional scale than the broadened scale when the environmental factors were used as the predictor of pCO2 in lakes. Therefore, the common algorithm that extrapolates CO2 concentration or emission flux from the study region to a wider scale might not be accurate because of the changes in the environmental and water quality conditions. © 2017 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82410
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作者单位: Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China; University of Chinese Academy of Sciences, Beijing, China; Department of Earth Science, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States; Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang, China

Recommended Citation:
Wen Z,, Song K,, Shang Y,et al. Carbon dioxide emissions from lakes and reservoirs of China: A regional estimate based on the calculated pCO2[J]. Atmospheric Environment,2017-01-01,170
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