Publication | Open Access
An empirical model to predict methane production in inland water sediment from particular organic matter supply and reactivity
41
Citations
50
References
2021
Year
EngineeringInland Water SedimentOrganic GeochemistryEnvironmental ChemistryOceanic SystemsBiogeochemistryEmpirical ModelSediment-water InteractionCouple Ch 4Organic-rich Sedimentary RockCh 4SedimentologySediment TransportCoal Bed MethaneEnvironmental EngineeringPom Sedimentation FluxSediment ProcessBiogeochemical ProcessCoastal GeochemistryMethane Production
Abstract The highest CH 4 production rates can be found in anoxic inland water surface sediments however no model quantifies CH 4 production following fresh particular organic matter (POM) deposition on anoxic sediments. This limits our capability of modeling CH 4 emissions from inland waters to the atmosphere. To generate such a model, we quantified how the POM supply rate and POM reactivity control CH 4 production in anoxic surface sediment, by amending sediment at different frequencies with different quantities of aquatic and terrestrial POM. From the modeled CH 4 production, we derived parameters related to the kinetics and the extent of CH 4 production. We show that the extent of CH 4 production can be well predicted by the quality (i.e., C/N ratio) and the quantity of POM supplied to an anoxic sediment. In particular, within the range of sedimentation rates that can be found in aquatic systems, we show that CH 4 production increases linearly with the quantity of phytoplankton‐derived and terrestrially derived POM. A high frequency of POM addition, which is a common situation in natural systems, resulted in higher peaks in CH 4 production rates. This suggests that relationships derived from earlier incubation experiments that added POM only once, may result in underestimation of sediment CH 4 production. Our results quantitatively couple CH 4 production in anoxic surface sediment to POM sedimentation flux, and are therefore useful for the further development of mechanistic models of inland water CH 4 emission.
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