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首页> 外文期刊>Hydrology and Earth System Sciences >Modelling reversibility of Central European mountain lakes from acidification: Part I - the Bohemian forest
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Modelling reversibility of Central European mountain lakes from acidification: Part I - the Bohemian forest

机译:通过酸化模拟中欧山区湖泊的可逆性:第一部分-波西米亚森林

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摘要

A dynamic, process-based acidification model, MAGIC7, has been applied to three small, strongly acidified lakes in the Bohemian Forest, the Czech Republic. The model was calibrated for a set of experimental records on lake water composition over the 1984-2000 period, and produced hindcast concentrations that compared well, even with older (40-year) irregular determinations of nitrate, chloride and pH. Water and soil chemistry forecasts up to 2050 were based on reductions in S and N emissions presupposed by the Gothenburg Protocol. Modelled sulphate and chloride concentrations were predicted to decrease to the levels at the beginning of the 20th century by 2050. The lake water carbonate buffering system is predicted to be re-established in only two lakes (Cerne and Plesne), with current soil base saturations of 12-15%. Concentrations of ionic aluminium species decreased sharply, from 110 mueq l(-1) in the mid-1980s to the current similar to40 mueq l(-1), and were predicted to decrease below 10 mueq l(-1) in the 2020s. Diatom-inferred pH in pre-industrial times was substantially lower than modelled pH. It is suggested that the diatom pH, based almost entirely on non-planktonic species, is biased by inwash of diatoms from more acidic tributaries into the sediment of these small lakes. Generally significant results can be summarised as follows: (1) Simulated sulphate levels agree well with observations during acidification progress and retreat only for values of soil SO42- adsorption capacity three to six times (20 to 40 meq kg(-1)) higher than those found experimentally. This implies a further mechanism of S retention and release in addition to physical sulphate adsorption to Fe and Al oxides of soils. (2) The catchments' ability to retain deposited N appeared to decline after similar to1950 but this was not connected with a sufficient change in the C : N ratio of the soils. Agreement between modelled and observed concentrations of nitrate was therefore achieved by empirical restriction of N retention in the soils. Based on their current ability to retain N, the catchments will remain N-saturated and could, temporarily, produce more inorganic N than they receive due to additional nitrate production from soil N-organic pools. This situation has occurred already in the Cerne Lake catchment. (3) Differences in responses of individual lakes can be attributed to different land usages over the past several centuries as well as to differences in geology and primary production. [References: 55]
机译:基于过程的动态酸化模型MAGIC7已应用于捷克共和国波西米亚森林中的三个小型强酸化小湖。该模型已针对1984年至2000年期间湖水成分的一组实验记录进行了校准,并产生了即使在较旧(40年)对硝酸盐,氯化物和pH值进行不规则测定的情况下也能很好地比较后铸物的浓度。到2050年的水和土壤化学预测是基于《哥德堡议定书》预设的硫和氮排放量减少的。预计到2050年,模拟的硫酸盐和氯化物浓度将降低到20世纪初的水平。仅在当前土壤基础饱和的情况下,预计仅在两个湖(Cerne和Plesne)中重新建立湖水碳酸盐缓冲系统。为12-15%。离子铝物质的浓度从1980年代中期的110 mueq l(-1)急剧下降到目前的40 mueq l(-1),并预计在2020年代降至10 mueq l(-1)以下。在工业化之前的时间,硅藻推断的pH值显着低于建模的pH。有人认为,硅藻的pH值几乎完全基于非浮游生物,因此受到硅酸从较酸性支流向这些小湖沉积物中的冲刷的影响。一般的重要结果可归纳如下:(1)模拟的硫酸盐水平与酸化过程中的观察结果非常吻合,并且仅在土壤SO42吸附量比土壤高42至40 meq kg(-1)的情况下才退缩。实验发现的。这意味着除了物理硫酸盐吸附到土壤的Fe和Al氧化物外,还有S保留和释放的另一种机理。 (2)流域保留沉积氮的能力在类似于1950年后似乎有所下降,但这与土壤碳氮比的充分变化没有关系。因此,通过经验限制土壤中氮的保留,可以实现硝酸盐的模拟浓度与观测浓度之间的一致性。根据流域目前保留氮的能力,这些流域将保持氮饱和状态,并且由于土壤氮有机池额外产生硝酸盐,因此暂时产生的无机氮将超过其吸收的氮。这种情况已经在塞恩湖流域发生过。 (3)各个湖泊在响应上的差异可以归因于过去几个世纪以来土地用途的不同以及地质和初级生产的差异。 [参考:55]

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