Human Activities Inducing High CH 4 Diffusive Fluxes in an Agricultural River Catchment in Subtropical China

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 and Xiaobo Qin
Additional contact information
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

Sustainability, 2020, vol. 12, issue 5, 1-16

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.

Keywords: CH 4 diffusive fluxes; spatiotemporal variation; agricultural catchment; river network; human activities (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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