State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Science, Beijing 100049, China.
State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; University of Chinese Academy of Science, Beijing 100049, China.
Chemosphere. 2017 Oct;185:602-609. doi: 10.1016/j.chemosphere.2017.07.059. Epub 2017 Jul 14.
Evaluating heavy metal pollution status and ecological risk in river sediments is a complex task, requiring consideration of contaminant pollution levels, as well as effects of biological processes within the river system. There are currently no simple or low-cost approaches to heavy metal assessment in river sediments. Here, we introduce a system of assessment for pollution status of heavy metals in river sediments, using measurements of Cd in the Shaocun River sediments as a case study. This system can be used to identify high-risk zones of the river that should be given more attention. First, we evaluated the pollution status of Cd in the river sediments based on their total Cd content, and calculated a risk assessment, using local geochemical background values at various sites along the river. Using both acetic acid and ethylenediaminetetraacetic acid to extracted the fractions of Cd in sediments, and used DGT to evaluate the bioavailability of Cd. Thus, DGT provided a measure of potentially bioavailable concentrations of Cd concentrations in the sediments. Last, we measured Cd contents in plant tissue collected at the same site to compare with our other measures. A Pearson's correlation analysis showed that Cd-Plant correlated significantly with Cd-HAc, (r = 0.788, P < 0.01), Cd-EDTA (r = 0.925, P < 0.01), Cd-DGT (r = 0.976, P < 0.01), and Cd-Total (r = 0.635, P < 0.05). We demonstrate that this system of assessment is a useful means of assessing heavy metal pollution status and ecological risk in river sediments.
评估河流沉积物中的重金属污染状况和生态风险是一项复杂的任务,需要考虑污染物污染水平,以及河流系统内的生物过程的影响。目前,还没有简单或低成本的方法来评估河流沉积物中的重金属。在这里,我们引入了一种河流沉积物重金属污染状况评估系统,以韶村河沉积物中的 Cd 测量为例。该系统可用于识别应给予更多关注的河流高风险区域。首先,我们根据河流沉积物中总 Cd 含量评估了 Cd 的污染状况,并利用河流沿线各地点的局部地球化学背景值计算了风险评估。我们使用乙酸和乙二胺四乙酸(EDTA)提取沉积物中 Cd 的不同形态,并用 DGT 评估 Cd 的生物有效性。因此,DGT 提供了沉积物中潜在生物可用 Cd 浓度的测量值。最后,我们在同一地点采集植物组织并测量 Cd 含量,与其他测量值进行比较。Pearson 相关分析表明,Cd-植物与 Cd-HAc(r = 0.788,P < 0.01)、Cd-EDTA(r = 0.925,P < 0.01)、Cd-DGT(r = 0.976,P < 0.01)和 Cd-总(r = 0.635,P < 0.05)显著相关。我们证明,该评估系统是评估河流沉积物中重金属污染状况和生态风险的有效手段。