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Photochemical mineralisation in a boreal brown water lake: considerable temporal variability and minor contribution to carbon dioxide production

机译:北部褐水湖中的光化学矿化作用:时间变化大,对二氧化碳产生的贡献小

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Sunlight induces photochemical mineralisation of chromophoric dissolved organic matter (CDOM) to dissolved inorganic carbon (DIC) in inland waters, resulting in carbon dioxide (COsub2/sub) emissions to the atmosphere. Photochemical rate modelling is used to determine sunlight-induced COsub2/sub emissions on large spatial and temporal scales. A sensitive model parameter is the wavelength-specific photochemical CDOM reactivity, the apparent quantum yield (AQY). However, the temporal variability of AQY spectra within inland waters remains poorly constrained. Here, we studied a boreal brown water lake in Sweden. We measured AQY spectra for photochemical DIC production monthly between June and November 2014 and parameterised a photochemical rate model. The total AQY between 280 and 600?nm increased about 3-fold during the open-water period, likely due to a high rainfall event with consecutive mixing in autumn that increased availability of highly photoreactive CDOM. However, the variability in AQY spectra over time was much smaller than previously reported variability in AQY spectra between lakes. Yet, using either the AQY spectrum from the least or from the most photoreactive water sample resulted in a 5-fold difference in simulated annual DIC photoproduction (2012–2014), with 2.0?±?0.1 and 10.3?±?0.7 g C?msup?2/sup?yrsup?1/sup, respectively. This corresponded to 1 and 8?% of the mean COsub2/sub emissions measured from this lake. We conclude that (1) it may be recommendable to conduct repeated AQY measurements throughout the season for more accurate simulation of annual photochemical DIC production in lakes and (2), in agreement with previous studies, direct CDOM photomineralisation makes only a minor contribution to mean COsub2/sub emissions from Swedish brown water lakes.
机译:阳光诱导内陆水域发色溶解有机物(CDOM)的光化学矿化为溶解无机碳(DIC),导致向大气中排放二氧化碳(CO 2 )。光化学速率模型用于确定大空间和时间尺度下太阳光诱导的CO 2 排放。敏感的模型参数是特定于波长的光化学CDOM反应性,即表观量子产率(AQY)。但是,内陆水域AQY光谱的时间变异性仍然受到约束。在这里,我们研究了瑞典的一个北方棕色海水湖。我们在2014年6月至11月之间每月测量了光化学DIC生产的AQY光谱,并设置了光化学速率模型的参数。在开阔水域,总的280-600nm的AQY增加了约3倍,这可能是由于高降雨事件和秋季连续混合增加了高光反应性CDOM的可用性。然而,随着时间的流逝,AQY光谱的变化远小于先前报道的湖泊之间AQY光谱的变化。然而,使用来自最少或最多光反应性水样品的AQY光谱,模拟的DIC年度光生产(2012-2014年)的差异为5倍,分别为2.0±0.1和10.3±0.7 gC。 m ?2 ?yr ?1 。这相当于从该湖测得的平均CO 2 排放量的1%和8%。我们得出结论:(1)建议在整个季节进行AQY重复测量,以便更准确地模拟湖泊中光化学DIC的年度产量;(2)与先前的研究一致,直接CDOM光矿化对平均值的贡献很小。瑞典棕色水湖泊的CO 2 排放。

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