黄柏河东支流域水体氮磷含量遥感反演研究

    Spatial distribution and pollution risk assessment of heavy metal content in sediments of Qianxia Lake

    • 摘要: 黄柏河是宜昌市生产、生活以及农业用水的重要来源,但大规模磷矿开采严重影响了其水体水质,因此需要对水体水质参数进行全流域实时监测。基于landsat8-OLI遥感影像,根据2014~2016年14个站点的水体水质实际监测数据,使用人工神经网络建立黄柏河东支流域总磷和氨氮含量的反演模型,模拟了2014~2016年春季和冬季黄柏河东支全流域水体的总磷和氨氮含量,并分析了总磷和氨氮含量的时空变化特征。结果表明:(1)对于Landsat8-OLI遥感数据,总磷的敏感波段为4~7波段,利用敏感波段建立的人工神经网络反演模型的精度较高,评价指标纳什系数和均方差系数分别为0.977 4和0.006 4;氨氮敏感波段为1~3波段,建立的模型精度低于总磷,评价指标纳什系数和均方差系数分别为0.714 5和0.004 5。(2)黄柏河东支流域2014~2016年总磷含量总体呈波动下降趋势,其中总磷含量较高区域分别为天福庙以及玄庙观库区;氨氮含量总体小幅度上升,2015年12月尚家河与西北口库区氨氮含量达到0.22 mg/L和0.27 mg/L。(3)黄柏河东支流域的总磷含量在春季最高,氨氮含量在冬季最高。(4)黄柏河流域的总磷和氨氮含量的空间分布存在一定的差异性,总磷在尚家河、天福庙、玄庙观库区的含量相对较高,氨氮在玄庙观与西北口库区的含量相对较高。研究成果可为该流域水环境治理提供依据。

       

      Abstract: In order to reveal the spatial distribution and pollution risk of heavy metals in surface sediments of Qianxia Lake, field investigation and sediment sampling were carried out. Correlation analysis and principal component analysis (PCA) were employed to explore the sources of heavy metals in surface sediments. Meanwhile, the pollution situation and potential risk degree in the lake region were evaluated based on geo-accumulation index (Igeo) and Hakanson potential ecological risk index (RI). The results indicated that: ① Excessive Cd appeared in lake region seriously. The average Cd content in sediment was 2.88 mg/kg, especially at S6 and S7 point their exceeding times were 11.9 and 22.5 respectively. Phenomenon of local excess As existed. ② The correlation analysis and principal component analysis showed that the Cu, As, Pb belonged to first principal components, which mainly derived from the large-scale use of fertilizers and pesticides during agricultural production and input of rural domestic sewage, and the content of Cd, Zn in the second principal components were primarily affected by rural living and inflowing rivers. The content of Cr in the third principal components were mainly influenced by the sediment itself. ③ The results of geo-accumulation index and potential ecological risk index suggested that the sediment pollution risks at S5, S6 and S7 were the highest, in which the Cd showed a severe potential ecological risk.

       

    /

    返回文章
    返回