湖泊沉积物中硝化和反硝化作用的温度模型

L. Kamp-Nielsen, N. Kongshøj
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引用次数: 2

摘要

在本世纪,政府间气候变化专门委员会(IPeC)预测全球气候将发生显著变化,丹麦地区的气温将升高3至5摄氏度,冬季的升高幅度最大(HouGHTON et al. 2001)。必须对风、气候和水文的变化及其对温度和混合制度的影响进行模拟,以全面反映气候变化的后果。我们关注的是温度对关键工艺速率的直接影响。一般来说,物理、化学和生物过程的速率随着温度的升高而增加。化学平衡研究将温度对过程速率的影响描述为:Q10 = (~1/~2) <2-ei (VAN’t HOFF 1884),其中~1和Jl2分别是2种温度下的过程速率81和82;或者用更有理论根据的表达式和引入活化能:kT = Ae-Ea/RT (ARRHENIUS 1889),其中kT是绝对温度T下的速率常数,a是频率因子,Ea是活化能,R是气体常数。然而,这些方程只在很小的温度区间内有效。强烈的偏差发生在低温下,尤其是在高温下,酶的蛋白质变性。在许多研究中,这些指数方程已被常规应用,尽管仔细检查显示温度依赖性与简单的线性响应在统计上没有不同(COUSSINS & BOWLER 1987, MONTAIGNES et al. 2003)。为了研究气候变化对湖泊养分代谢的影响,我们测量了腓特烈堡湖沉积物样品在0-60°e温度范围内的硝化和反硝化速率,并对数据应用了多种温度模型。采用最具预测能力的模型来描述这一过程的适应过程,并在不同气候情景下的一系列中生态系统沉积物上对该模型进行了校准和验证。
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Temperature models for nitrification and denitrification in lake sediments
During this century the Intergovemmental Panel on elimate ehange (IPeC) predicts the global climate to change significantly with temperature increases o f 3 to 5 oe in the Danish region, with highest increases in winter (HouGHTON et al. 2001). ehanges in wind climate and hydrology and their effects on temperature and mixing regimes must be modelled to present a complete picture of consequences of climate changes. We focused on the direct effects of temperature on key process rates. In general, the rates of physical, chemical, and biological processes increase with temperature. ehemical equilibrium studies describe temperature influence on process rates as: Q10 = (~1/~2) <2-ei) (VAN'T HOFF 1884), where ~1 and Jl2 are process rates at 2 temperatures 8 1 and 8 2, respectively; or by a more theoretically founded expression and introduction of an activation energy: kT = Ae-Ea/RT (ARRHENIUS 1889), where kT is a rate constant at the absolute temperature T, A is a frequency factor, Ea is an activation energy, and R is the gas constant. These equations, however, are only valid over small temperature intervals. Strong deviations occur at low temperatures and especially at high temperatures, where the proteins of enzymes are denaturised. In many studies these exponential equations have been routinely applied, although careful inspections have shown a temperature dependence not statistically different from a simple linear response (COUSSINS & BOWLER 1987, MONTAIGNES et al. 2003). To study the effect of climate changes on the nutrient metabolism in lakes we measured nitrification and denitrification rates over the temperature range 0-60 oe in sediment sarnples from Frederiksborg eastle Lake and applied a number of temperature models to the data. The most predictive model was used to describe the acclimatisation o f the processes, and the model was calibrated and verified on sediments from a series of mesocosms run with various climate scenarios.
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