收藏切换
The temporal and spatiotemporal variation of CO2 concentration in river and groundwater in typical agricultural watersheds
收藏切换
Tao-min MU1, Kai-yue MA1, Peng RUAN1, Xin-rui TAN1, Jian-hong WU1, 2, Fang-fang ZHANG1, Sheng-jia HE1, 2, *, Pei-kun JIANG1, 2
China Environmental Science | 2025, 45(7) : 3935 - 3943
Less
收藏切换
China Environmental Science | 2025, 45(7): 3935-3943
• Environmental Ecology •
The temporal and spatiotemporal variation of CO2 concentration in river and groundwater in typical agricultural watersheds
Full
Tao-min MU1, Kai-yue MA1, Peng RUAN1, Xin-rui TAN1, Jian-hong WU1, 2, Fang-fang ZHANG1, Sheng-jia HE1, 2, *, Pei-kun JIANG1, 2
Affiliations
  • 1.Faculty of Environment and Resources, Faculty of Carbon Neutrality, Zhejiang A & F University, Hangzhou 311300, China
  • 2.State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China
Published: 2025-07-20
Outline
收藏切换

From October 2023 to September 2024, regular monitoring of water quality parameters and CO2 concentrations in river water and groundwater was conducted in the upstream watershed of the Nantiao River in Lin'an, to quantitatively investigate their spatiotemporal variability. Results showed that both riverine and groundwater CO2 concentrations exhibited pronounced temporal fluctuations. On a monthly scale, peak CO2 concentrations in both river water and groundwater occurred in July, whereas the minima were temporally asynchronous, observed in December for rivers and January for groundwater, respectively. And seasonally, CO2 concentrations in both river water and groundwater followed the order:summer > spring > autumn > winter. Overall, groundwater CO2 concentrations averaged (152.04 ± 35.15) μmol/L, approximately 4.57 times higher than those in river water (33.24 ± 6.19μmol/L), indicating that groundwater may represent a significant potential source of aquatic CO2 emissions in this region. CO2 levels were markedly elevated in agricultural zones (river:68.47μmol/L; groundwater: 306.09μmol/L) compared to forested areas (river: 20.64μmol/L; groundwater: 73.93μmol/L). Significant positive correlations (P < 0.01) were observed between CO2 concentrations and agricultural-related water quality indicators (e.g., TN, TP, DOC), whereas negative correlations were found with DO, pH, and water temperature. Multiple linear regression revealed that the optimal spatial scales of land-use type combination influence on CO2 concentrations were 750m for river water (R2 = 0.88) and 1250m for groundwater (R2 = 0.58). Within these spatial buffers, riverine CO2 concentrations were most strongly associated with residential land cover (r = 0.90, P < 0.01), while groundwater CO2 was more influenced by cropland proportion (r = 0.83, P < 0.05). These findings suggest that intensive agricultural activities may significantly contribute to CO2 enrichment in groundwater, which in turn serves as an important source of aquatic CO2 emissions in the upstream watershed of the Nantiao River in Lin'an.

rivers  /  groundwater  /  CO2 dissolved concentration  /  spatio-temporal variation  /  land use
穆涛敏, 马凯月, 阮鹏, 谈欣睿, 邬建红, 张方方, 何圣嘉, 姜培坤. 典型农业流域河流和地下水CO2浓度时空变异. 中国环境科学, 2025 , 45 (7) : 3935 -3943 .
Tao-min MU, Kai-yue MA, Peng RUAN, Xin-rui TAN, Jian-hong WU, Fang-fang ZHANG, Sheng-jia HE, Pei-kun JIANG. The temporal and spatiotemporal variation of CO2 concentration in river and groundwater in typical agricultural watersheds[J]. China Environmental Science, 2025 , 45 (7) : 3935 -3943 .
Year 2025 volume 45 Issue 7
64
13
Cite this Article
BibTeX
Article Info
  • Receive Date:2024-12-11
  • Online Date:2026-10-08
  • Published:2025-07-20
Article Data
Affiliations
History
  • Received:2024-12-11
Funding
Affiliations
    1.Faculty of Environment and Resources, Faculty of Carbon Neutrality, Zhejiang A & F University, Hangzhou 311300, China
    2.State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China
References
Share
https://castjournals.cast.org.cn/joweb/zghjkx/EN/
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT