Centre for Catchment and Coastal Research and River Basin Dynamics and Hydrology Research Group, Institute of Geography and Earth Sciences, Aberystwyth University, Aberystwyth SY23 3DB, United Kingdom.
Environ Pollut. 2010 Jun;158(6):2158-69. doi: 10.1016/j.envpol.2010.02.020. Epub 2010 Mar 24.
In this study Pb isotope signatures were used to identify the provenance of contaminant metals and establish patterns of downstream sediment dispersal within the River Maritsa catchment, which is impacted by the mining of polymetallic ores. A two-fold modelling approach was undertaken to quantify sediment-associated metal delivery to the Maritsa catchment; employing binary mixing models in tributary systems and a composite fingerprinting and mixing model approach in the wider Maritsa catchment. Composite fingerprints were determined using Pb isotopic and multi-element geochemical data to characterize sediments delivered from tributary catchments. Application of a mixing model allowed a quantification of the percentage contribution of tributary catchments to the sediment load of the River Maritsa. Sediment delivery from tributaries directly affected by mining activity contributes 42-63% to the sediment load of the River Maritsa, with best-fit regression relationships indicating that sediments originating from mining-affected tributaries are being dispersed over 200 km downstream.
在这项研究中，铅同位素特征被用来确定污染物金属的来源，并在受多金属矿石开采影响的马里察河流域内建立下游沉积物分散模式。采用双重建模方法来量化输送到马里察流域的沉积物相关金属：在支流系统中采用二元混合模型，在更广泛的马里察流域中采用组合指纹和混合模型方法。使用 Pb 同位素和多元素地球化学数据来确定组合指纹，以描述从支流流域输送的沉积物。应用混合模型可以量化支流流域对马里察河泥沙负荷的贡献百分比。受采矿活动直接影响的支流输送的沉积物占马里察河泥沙负荷的 42-63%，最佳拟合回归关系表明，源自受采矿影响的支流的沉积物正在向下游扩散 200 多公里。
