Author
Listed:
- Hongbao Wu
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Qiang Zhao
(School of Geography and Tourism, Anhui Normal University, Wuhu 241000, China)
- Qingzhu Gao
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Yu’e Li
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Yunfan Wan
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Yong Li
(Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China)
- Di Tian
(College of Life Sciences, Capital Normal University, Beijing 100048, China)
- Yulin Liao
(Soils and Fertilizer Institute of Hunan Province, Changsha 410125, China)
- Meirong Fan
(Changsha Environmental Protection College, Changsha 410004, China)
- Hasbagan Ganjurjav
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Guozheng Hu
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Bin Wang
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Xuan Chen
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
- Xiaobo Qin
(Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China)
Abstract
Methane (CH 4 ) is one of the key greenhouse gases (GHGs) in the atmosphere with current concentration of 1859 ppb in 2017 due to climate change and anthropogenic activities. Rivers are of increasing concern due to sources of atmospheric CH 4 . However, knowledge and data limitations exist for field studies of subtropical agricultural river catchments, particularly in southern China. The headspace balance method and the diffusion model method were employed to assess spatiotemporal variations of CH 4 diffusive fluxes from April 2015 to January 2016 in four order reaches (S1, S2, S3, and S4) of the Tuojia River, Hunan, China. Results indicated that both the dissolved concentrations and diffusive fluxes of CH 4 showed obvious spatiotemporal variations. The observed mean concentration and diffusive flux of CH 4 were 0.40 ± 0.02 μmol L −1 and 41.19 ± 2.50 µg m −2 h −1 , respectively, showing the river to be a strong source of atmospheric CH 4 . The CH 4 diffusive fluxes during the rice-growing seasons were significantly greater than the winter fallow season (an increase of 80.26%). The spatial distribution of CH 4 diffusive fluxes increased gradually from (17.58 ± 1.42) to (55.56 ± 4.32) µg m −2 h −1 due to the organic and nutrient loading into the river waterbodies, with the maximum value at location S2 and the minimum value at location S1. Correlation analysis showed that the CH 4 diffusive fluxes exhibited a positive relationship with the dissolved organic carbon (DOC), salinity, and water temperature (WT), while a negative correlation occurred between CH 4 diffusive fluxes and the dissolved oxygen (DO) concentration, as well as the pH value. Our findings highlighted that a good understanding of exogenous nutrient loading in agricultural catchments will clarify the influence of human activities on river water quality and then constrain the global CH 4 budget.
Suggested Citation
Hongbao Wu & Qiang Zhao & Qingzhu Gao & Yu’e Li & Yunfan Wan & Yong Li & Di Tian & Yulin Liao & Meirong Fan & Hasbagan Ganjurjav & Guozheng Hu & Bin Wang & Xuan Chen & Xiaobo Qin, 2020.
"Human Activities Inducing High CH 4 Diffusive Fluxes in an Agricultural River Catchment in Subtropical China,"
Sustainability, MDPI, vol. 12(5), pages 1-16, March.
Handle:
RePEc:gam:jsusta:v:12:y:2020:i:5:p:2114-:d:330328
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