4.8 Article

Large Spatial Variations in Diffusive CH4 Fluxes from a Subtropical Coastal Reservoir Affected by Sewage Discharge in Southeast China

Journal

ENVIRONMENTAL SCIENCE & TECHNOLOGY
Volume 54, Issue 22, Pages 14192-14203

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.0c03431

Keywords

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Funding

  1. National Science Foundation of China [41801070, 41671088]
  2. National Science Foundation of Fujian Province [2018J01737]
  3. Fuzhou Cultural Tourism Investment Group Co., Ltd
  4. Research Grants Council of the Hong Kong Special Administrative Region, China [CUHK458913, 14302014, 14305515]
  5. CUHK Direct grant [SS15481]
  6. Open Research Fund Program of Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control [KHK1806]
  7. Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)
  8. Minjiang Scholar Program
  9. European Research Council [ERC-SyG-2013-610028]

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Coastal reservoirs are potentially CH4 emission hotspots owing to their biogeochemical role as the sinks of anthropogenic carbon and nutrients. Yet, the fine-scale spatial variations in CH4 concentrations and fluxes in coastal reservoirs remain poorly understood, hampering an accurate determination of reservoir CH4 budgets. In this study, we examined the spatial variability of diffusive CH4 fluxes and their drivers at a subtropical coastal reservoir in southeast China using high spatial resolution measurements of dissolved CH4 concentrations and physicochemical properties of the surface water. Overall, this reservoir acted as a consistent source of atmospheric CH4, with a mean diffusive flux of 16.1 mu mol m(-2) h(-1). The diffusive CH4 flux at the reservoir demonstrated considerable spatial variations, with the coefficients of variation ranging between 199 and 426% over the three seasons. The shallow water zone (comprising 23% of the reservoir area) had a disproportionately high contribution (56%) to the whole-reservoir diffusive CH4 emissions. Moreover, the mean CH4 flux in the sewage-affected sectors was significantly higher than that in the nonsewage-affected sectors. The results of bootstrap analysis further showed that increasing the sample size from 10 to 100 significantly reduced the relative standard deviation of mean diffusive CH4 flux from 73.7 to 3.4%. Our findings highlighted the role of sewage in governing the spatial variations in reservoir CH4 emissions and the importance of high spatial resolution data to improve the reliability of flux estimates for assessing the contribution of reservoirs to the regional and global CH4 budgets.

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