Institute for Soil Science and Soil Ecology, Dresden University of Technology, Pienner Straße. 19, 01737 Tharandt, Germany.
Environ Manage. 2010 Dec;46(6):894-907. doi: 10.1007/s00267-010-9572-5. Epub 2010 Oct 9.
The article presents results of testing the indicative value of magnetic susceptibility for fly ash deposition and its effects on forest site properties. Base saturation and concentrations of Ca and Mg were used as indicators for nutrient pools resulting from fly ash deposition. Concentrations of Fe, Al, Mn, Cd and Black Carbon were used as indicators for risks of leaching. The correlation of magnetic susceptibility with concentrations of nutrient, acidic cations, heavy metals, base saturation and Black Carbon was calculated. Additionally, we tested the suitability of magnetic susceptibility as a parameter in a linear regression based model to predict the concentrations of Ca, Mg, Fe, Al, Mn, Cd and Black Carbon. We were able to show a positive correlation between magnetic susceptibility and the selected indicators. In contrast to previous studies, we were also able to demonstrate the suitability of magnetic susceptibility to predict the size of fly ash deposition influenced nutrient pools mainly for humus layers, especially for Oa horizons. The spatial distribution of magnetic susceptibility showed also a positive correlation with regionalized base saturation. However, because of the data base and other factors impacting the measurement and modeling results, some shortcomings of using a linear regression model must be noted. From these results, we concluded that magnetic susceptibility might be a valuable parameter in a multiple regression based approach, but should not be used alone for predicting effects of fly ash deposition.
本文展示了磁化率对粉煤灰沉积指示价值的测试结果及其对森林地段性质的影响。基饱和度和 Ca、Mg 的浓度被用作粉煤灰沉积产生的养分库的指标。Fe、Al、Mn、Cd 和黑碳的浓度被用作淋溶风险的指标。计算了磁化率与养分、酸性阳离子、重金属、基饱和度和黑碳浓度的相关性。此外，我们还测试了磁化率作为线性回归模型中预测 Ca、Mg、Fe、Al、Mn、Cd 和黑碳浓度的参数的适用性。我们能够证明磁化率与所选指标之间存在正相关关系。与以前的研究不同，我们还能够证明磁化率适合预测粉煤灰沉积影响的养分库的大小，主要是腐殖质层，特别是 Oa 层。磁化率的空间分布也与基饱和度的区域化呈正相关。然而，由于数据库和影响测量和建模结果的其他因素，必须注意使用线性回归模型的一些缺点。根据这些结果，我们得出结论，磁化率在基于多元回归的方法中可能是一个有价值的参数，但不应单独用于预测粉煤灰沉积的影响。
