Land Dynamics Group, Department of Environmental Sciences, Wageningen University and Research Centre, PO Box 47, 6700 AA Wageningen, The Netherlands.
Environ Pollut. 2010 Jan;158(1):92-7. doi: 10.1016/j.envpol.2009.07.033. Epub 2009 Aug 12.
For Dutch sandy regions, linear regression models have been developed that predict nitrate concentrations in the upper groundwater on the basis of residual nitrate contents in the soil in autumn. The objective of our study was to validate these regression models for one particular sandy region dominated by dairy farming. No data from this area were used for calibrating the regression models. The model was validated by additional probability sampling. This sample was used to estimate errors in 1) the predicted areal fractions where the EU standard of 50 mg l(-1) is exceeded for farms with low N surpluses (ALT) and farms with higher N surpluses (REF); 2) predicted cumulative frequency distributions of nitrate concentration for both groups of farms. Both the errors in the predicted areal fractions as well as the errors in the predicted cumulative frequency distributions indicate that the regression models are invalid for the sandy soils of this study area.
对于荷兰沙质地区,已经开发出了线性回归模型,这些模型可以根据秋季土壤中的残留硝酸盐含量预测地下水上层的硝酸盐浓度。我们的研究目的是验证这些回归模型在一个以奶牛养殖为主的特定沙质地区的适用性。这些回归模型的校准并未使用该地区的数据。通过额外的概率抽样对模型进行了验证。该样本用于估计以下方面的误差:1)对于氮盈余较低的农场(ALT)和氮盈余较高的农场(REF),超过欧盟 50mg/L 标准的预测面积比例;2)两组农场的硝酸盐浓度预测累积频率分布。预测面积比例的误差以及预测累积频率分布的误差均表明,回归模型对于研究区域的沙质土壤是无效的。