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Uncertainties in critical loads and target loads of sulphur and nitrogen for European forests: Analysis and quantification

机译:欧洲森林中硫和氮的临界负荷和目标负荷的不确定性:分析和量化

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An analysis of the uncertainties in critical loads and target loads of sulphur (S) and nitrogen (N) for 182 European forest soils was carried out using the Very Simple Dynamic (VSD) model. The VSD model was calibrated with a Bayesian approach using prior probability functions for model parameters based on literature data, data from 200 Dutch forest sites and from simulated denitrification rates from a detailed ecosystem model. The calibration strongly improved the fit of the model to observed soil and soil solution concentrations, especially for pH and base saturation. Calibration also narrowed down the ranges in input parameters. The uncertainty analysis showed which parameters contribute most to the uncertainty in the critical loads and target loads. Base cation weathering and deposition and the parameters describing the H-Al equilibrium in the soil solution determine the uncertainty in the maximum critical loads for S, CL_(max)(S), when based on the aluminium to base cation (Al/Bc) criterion. Uncertainty in CL_(max)(S) based on an acid neutralizing capacity (ANC) criterion is completely determined by base cation inputs alone. The denitrification fraction is the most important source of uncertainty for the maximum critical loads of N, CL_(max)(N). N uptake and N immobilisation determine the uncertainties in the critical load for N as a nutrient, CL_(nut)(N). Calibration of VSD reduced the uncertainty: the coefficient of variation (CV) was reduced for all critical loads and criteria. After calibration, the CV for CL_(max)(S) was below 0.4 for almost all plots; however for CL_(max)(N) high values occurred for plots with high denitrification rates. Model calibration also improved the robustness of target load estimates: after calibration, no target loads were needed in any of the simulations for 40% of the plots, with the uncalibrated model there was a positive probability for the need of a target load for almost all plots.
机译:使用甚简单动态模型(VSD)对欧洲182种森林土壤的硫(S)和氮(N)的临界负荷和目标负荷的不确定性进行了分析。 VSD模型采用贝叶斯方法进行校准,该方法使用先验概率函数作为模型参数,基于文献数据,来自200个荷兰森林站点的数据以及详细生态系统模型的模拟反硝化率得出的模型参数。校准极大地提高了模型对观测的土壤和土壤溶液浓度的拟合度,尤其是对于pH和碱饱和度。校准还缩小了输入参数的范围。不确定性分析表明,哪些参数对临界载荷和目标载荷的不确定性影响最大。当基于铝对碱性阳离子(Al / Bc)时,碱性阳离子的风化和沉积以及描述土壤溶液中H-Al平衡的参数确定了S的最大临界载荷的不确定性CL_(max)(S)。标准。基于酸中和能力(ANC)准则的CL_(max)(S)不确定性完全由单独的碱性阳离子输入确定。对于N的最大临界载荷CL_(max)(N),反硝化分数是不确定性的最重要来源。氮的吸收和氮的固定化决定了氮作为营养素的临界负荷CL_(nut)(N)的不确定性。 VSD的校准减少了不确定性:所有关键负载和标准的变异系数(CV)均减小。校准后,几乎所有曲线图的CL_(max)(S)的CV均低于0.4。但是,对于CL_(max)(N),反硝化率高的地块的值较高。模型校准还提高了目标负荷估算的鲁棒性:校准后,对于40%的样图,任何模拟中都不需要目标负荷,对于未校准的模型,几乎所有情况下都有目标负荷的正可能性情节。

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