张艳平, 罗敏, 胡钰, 陈多福. 海底有机质早期成岩和甲烷缺氧氧化数值模型研究进展[J]. 海洋地质与第四纪地质, 2017, 37(5): 109-121. DOI: 10.16562/j.cnki.0256-1492.2017.05.011
引用本文: 张艳平, 罗敏, 胡钰, 陈多福. 海底有机质早期成岩和甲烷缺氧氧化数值模型研究进展[J]. 海洋地质与第四纪地质, 2017, 37(5): 109-121. DOI: 10.16562/j.cnki.0256-1492.2017.05.011
ZHANG Yanping, LUO Min, HU Yu, CHEN Duofu. PROGRESS OF NUMERICAL MODELING OF EARLY DIAGENESIS AND METHANE ANAEROBIC OXIDATION[J]. Marine Geology & Quaternary Geology, 2017, 37(5): 109-121. DOI: 10.16562/j.cnki.0256-1492.2017.05.011
Citation: ZHANG Yanping, LUO Min, HU Yu, CHEN Duofu. PROGRESS OF NUMERICAL MODELING OF EARLY DIAGENESIS AND METHANE ANAEROBIC OXIDATION[J]. Marine Geology & Quaternary Geology, 2017, 37(5): 109-121. DOI: 10.16562/j.cnki.0256-1492.2017.05.011

海底有机质早期成岩和甲烷缺氧氧化数值模型研究进展

PROGRESS OF NUMERICAL MODELING OF EARLY DIAGENESIS AND METHANE ANAEROBIC OXIDATION

  • 摘要: 在海洋沉积物表层,各种碳库之间频繁的碳转换引起了越来越多科学家的关注。这些转换主要包括有机质降解生成的DIC,甲烷缺氧氧化产生DIC,以及碱度升高引起的自生碳酸盐沉淀,同时在一些甲烷强烈渗漏的冷泉区还包括游离气的渗漏过程。这些反应发生机理将在本文中逐一论述,同时文中还综述了有机质降解和甲烷缺氧氧化过程的现有计算模型,指出了目前计算模型中所存在的缺陷及每个模型的适用范围,并简要的介绍了从沉积物释放到海水中的甲烷气泡渗漏通量计算方法。然而这些模型基本都受限于目前对于机理的认识水平,为了更加精确地计算出碳在不同过程中的转换通量,今后还需要更多的工作来研究反应机理和模型中的参数,从而获得一个更加通用的模型。

     

    Abstract: Carbon conversion between different reservoirs in the surface sediments has raised more and more attention from researchers. It mainly includes the dissolved inorganic carbon (DIC) produced by organic matter degradation and anaerobic oxidation of methane (AOM) as well as authigenic carbonate precipitation. In some intensive seepage area, gas bubble migration and dissolution is also an important carbon conversion pathway. In this paper, we summarize the mechanism of organic matter degradation and AOM through numerical modeling. In addition, upon the discussion on the shortages and applicability of each model, we introduced the method of quantification of gas bubble flux into seawater. We finally proposed that more attention be paid to the mechanism of the biogeochemical processes and the model parameters for developing a more generalized model, in order to obtain a more reliable and convincing carbon turnover modeling results.

     

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