4.7 Article

Dynamic chamber as a more reliable technique for measuring methane emissions from aquatic ecosystems

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 851, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2022.158147

关键词

CH4 Emission flux; Static chamber method; Dynamic chamber method; Ebullition

资金

  1. National Key Research and Development Program of China [2018YFE0204101]
  2. National Natural Science Foundation of China [31900281]

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Aquatic ecosystems are a major natural source of atmospheric methane, but the current estimation of methane emissions from these ecosystems is highly uncertain. This study compared static chamber method (SC) and dynamic chamber method (DC) for measuring methane fluxes, and found that the DC provided more accurate measurements by considering temporal variations in methane emissions.
Aquatic ecosystems are the largest natural source of atmospheric methane (CH4) worldwide. However, the current estimation of CH4 emissions from aquatic ecosystems still has extensive uncertainty due to large spatiotemporal variations in CH4 emissions as well as significant uncertainty in measurement methods. In this study, we initially investigated CH4 fluxes from a simulated eutrophic water body by using static chamber method (SC) during an incubation period of 36 days. Approximately 23% of the total flux measurements were unsuccessful because they lacked a linear correlation between the accumulation of CH4 concentrations and enclosure time. CH4 fluxes could be achieved for most measurements. However, 5 min after enclosing, the initial CH4 concentrations measured in the chambers were too high (up to 507.4 ppm) to greatly suppress CH4 emissions from the diffusion process. Therefore, a dynamic chamber method (DC) was developed to overcome the shortcomings of the SC. To achieve the DC, air samples must be continuously collected at the inlet and outlet of the dynamic chamber at fixed flow rates. In contrast to the SC, effective CH4 flux data could be obtained by the DC for each measurement at different frequencies. The DC measured the diel and daily variations in CH4 fluxes and the displayed CH4 emissions from the simulated water were highly irregular. The displayed emissions had variations up to more than two orders of magnitude. These results implied that the SC measured few intermittent fluxes that were difficult to represent the actual CH4 emissions from eutrophic water. The DC developed in this study considers the temporal variations in CH4 emissions from aquatic ecosystems. Thus, the DC is expected to be applicable in the field flux measurements of CH4 as well as other greenhouse gases to reduce emissions uncertainties.

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