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Modelling sulphate stream concentrations in the Black Forest catchments Schluchsee and Villingen

机译:在黑森林流域Schluchsee和Villingen中模拟硫酸盐流的浓度

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摘要

The sulphate (SO) released by mineralisation and desorption from soil can play an important role in determining concentrations of SO4 in streams. The MAGIC model was calibrated for two catchments in the Black Forest, Germany (Schluchsee and Villingen) and SO4 concentrations in the streams for the years 2016 and 2030 were predicted. Special emphasis was placed on the dynamics of soil sulphur (S) pools. At Schluchsee 90% of soil S is stored in the organic S (S-org) pool, whereas at Villingen, 54% is in the inorganic (S-inorg) pool. The Villingen stream chemistry was modelled successfully by measured Langmuir isotherm parameters (LIPs) for S-inorg. Schluchsee data could not be modelled satisfactorily using measured or freely adapted LIPs only, as the S-inorg pool would have to be more than five times larger than what was measured. With 60.5 mmol, SO4 m(-2) yr(-1) as internal soil source by mineralisation and the measured LIPs. stream data was modelled successfully. The modelling shows that in these two catchments pre-industrial concentrations of SO, in runoff can be reached in the next two decades if S deposition decreases as intended under currently agreed national and international legislation. S-org is the most likely dominant source of SO4 released at Schluchsee. Mineralization from the S-org pool must be included when modelling SO4 concentrations in the stream. As the dynamics and the controlling factors of S release by mineralisation are not yet clear, this process remains a source of uncertainty for predictions of SO4 concentrations in streams. Future research should concentrate on dynamics of S mineralisation in the field, such that mathematical descriptions of long-term S-mineralisation can be incorporated into biogeochemical models. [References: 29]
机译:通过矿化和土壤解吸释放的硫酸盐(SO)在确定溪流中SO4的浓度方面起着重要作用。 MAGIC模型针对德国黑森林的两个流域(Schluchsee和Villingen)进行了校准,并预测了2016年和2030年河流中的SO4浓度。特别强调了土壤硫(S)库的动力学。在Schluchsee,90%的土壤S储存在有机S(S-org)池中,而在Villingen,则有54%的土壤S储存在无机(S-inorg)池中。通过测量S-inorg的Langmuir等温线参数(LIP),成功建立了Villingen流化学模型。 Schluchsee数据无法仅使用已测量或可自由调整的LIP进行令人满意的建模,因为S-inorg库必须比所测量的大五倍以上。通过60.5 mmol,SO4 m(-2)yr(-1)作为内部土壤来源(通过矿化作用和测得的LIP)。流数据已成功建模。该模型表明,在这两个流域中,如果S沉积量按照目前商定的国家和国际立法的规定减少,则在接下来的20年中可以达到径流中SO的工业浓度。 S-org是Schluchsee释放的最有可能的SO4主要来源。在模拟河流中的SO4浓度时,必须包括S-org池中的矿化作用。由于矿化过程中S释放的动力学和控制因素尚不清楚,因此该过程仍然是预测溪流中SO4浓度的不确定性来源。未来的研究应集中于该领域中S矿化的动力学,以便可以将长期S矿化的数学描述纳入生物地球化学模型中。 [参考:29]

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