• 集群首页
  • 关于我们
  • 期刊群

洞庭湖区沉积物重金属生态风险评价及来源解析

Ecological risk assessment and source analysis of heavy metals in sediments of Dongting Lake

  • 摘要:
    研究目的 洞庭湖为中国第二大淡水湖,但由于周边矿山开采、化工冶金造成湖区重金属含量累积上升,查明洞庭湖重金属污染特征及其来源,对其重金属污染防控和治理具有重要意义。
    研究方法 本研究于2023年8月在洞庭湖4条主要入湖流域采集测定了37件表层沉积物中8种重金属及其理化指标,采用沉积物质量指南值(SQG)评价了其污染特征,使用潜在生态风险指数法识别了区内沉积物生态风险,运用正定矩阵因子模型法(PMF)和相关性解析了其来源及贡献率,进一步运用冗余分析(RDA)探索了沉积物重金属形态特征。
    研究结果 洞庭湖区水系沉积物重金属生态风险较强,Cd对生态风险贡献程度最高(75.1%),其次为Hg(17.2%),湘江、资江流域具有较高的重金属污染风险。依据PMF模型结合区域特征确定了研究区沉积物重金属存在4个可能的污染来源,分别为农业源(42.7%)、大气沉降源(16.1%)、自然源(21.8%)、金属冶炼源(19.5%)。RDA结果表明4条入湖流域沉积物重金属以铁锰结合态为主。
    结论 根据RDA和相关分析,说明湖区沉积物Cd等重金属含量主要受控于Fe、Mn氧化物,在下步环境修复和污染治理中,可以利用铁和锰的氧化物特性,实现重金属污染的有效控制和治理。

     

    Abstract:
    This paper is the result of geological survey engineering.
    Objective Dongting Lake, the second largest freshwater lake in China, has experienced increased heavy metal accumulation due to surrounding mining activities and chemical metallurgy. Understanding the characteristics and sources of heavy metal pollution in Dongting Lake is crucial for effective prevention, control and remediation efforts.
    Methods In August 2023, 37 surface sediment samples were collected from four main inflow rivers of Dongting Lake. Eight heavy metals and their physicochemical indicators were measured. The pollution characteristics were evaluated using sediment quality guidelines (SQG). The potential ecological risk index method was used to identify the ecological risk of sediments in the area. The sources and contribution rates of the heavy metals were analyzed using the Positive Matrix Factorization (PMF) model and correlation analysis. Redundancy analysis (RDA) was used to explore the morphological characteristics of heavy metals in sediments.
    Results The ecological risk of heavy metals in the sediments of the Dongting Lake water system is relatively high, Cd contributed the most to ecological risk (75.1%), followed by Hg (17.2%).with the Xiangjiang and Zijiang river basins exhibiting higher heavy metal pollution risks. Based on the PMF model and regional characteristics, four potential sources of heavy metal pollution in the sediments were identified: agricultural sources (42.7%), atmospheric deposition sources (16.1%), natural sources (21.8%) and metal smelting sources (19.5%). The RDA results showed that the heavy metals in the sediments of the four drainage basins were mainly Fe−Mn combined.
    Conclusion According to RDA and related analyses, it is indicated that the content of heavy metals such as Cd in the lake area sediments is mainly controlled by Fe and Mn oxides. In the next step of environmental remediation and pollution control, the oxide characteristics of iron and manganese can be utilized to effectively control and treat heavy metal pollution.

     

/

返回文章
返回