Bishop K, Rapp L, Köhler S, Korsman T
Dept. of Environmental Assessment, Swedish University of Agricultural Sciences, SE-750 07 Uppsala, Sweden.
Sci Total Environ. 2008 Dec 15;407(1):723-9. doi: 10.1016/j.scitotenv.2008.10.007. Epub 2008 Nov 11.
Criteria are needed for distinguishing naturally acid water from that acidified by air pollution, especially in the organic-rich waters of northern Sweden. The Steady-State Water Chemistry Model (SSWC) was augmented to include organic acidity so that it could predict pre-industrial pH in organic-rich waters. The resulting model predictions of pre-industrial ANC and pH were then tested against diatom predictions of pre-industrial pH and alkalinity in 58 lakes from N. Sweden (after alkalinity was converted to ANC using the CBALK method). The SSWC Model's predictions of pre-industrial lake pH in N. Sweden did not correspond well with the diatom predictions, even when accounting for the uncertainty in the diatom model. This was due to the SSWC's sensitivity to short-term fluctuations in contemporary water chemistry. Thus the SSWC Model is not suitable for judging the acidification of individual lakes in areas such as northern Sweden where the degree of chronic acidification is small, or without a good average value of contemporary water chemistry. These results should be considered when assessing the accuracy of critical loads calculated using SSWC.
需要有标准来区分天然酸性水和因空气污染而酸化的水,尤其是在瑞典北部富含有机物的水域。稳态水化学模型(SSWC)进行了扩充,纳入了有机酸度,以便能够预测富含有机物水域的工业化前pH值。然后,针对瑞典北部58个湖泊中硅藻对工业化前pH值和碱度的预测结果(使用CBALK方法将碱度转换为总碱度后),对由此得到的工业化前总碱度和pH值的模型预测进行了检验。即使考虑到硅藻模型的不确定性,SSWC模型对瑞典北部工业化前湖泊pH值的预测与硅藻的预测结果也不太相符。这是由于SSWC对当代水化学的短期波动较为敏感。因此,SSWC模型不适用于判断瑞典北部等地区单个湖泊的酸化情况,在这些地区,慢性酸化程度较小,或者没有当代水化学的良好平均值。在评估使用SSWC计算的临界负荷的准确性时,应考虑这些结果。