Yan Jinxia, Liu Jingling, Li Yi, Lang Sisi
State Key Joint Laboratory of Environmental Simulation and Pollution Control and School of Environment, Beijing Normal University, 100875, Beijing, China.
Environ Sci Pollut Res Int. 2014 Oct;21(20):12050-61. doi: 10.1007/s11356-014-3145-8. Epub 2014 Jun 13.
The pollution loads continuously increased in Haihe estuary, of Tianjin, China, due to intensive human activities, especially the construction of the Haihe Gate and Lingang Industrial Area. In 2011, hydrological variability in Haihe estuary was investigated and sediments were collected. Total organic carbon (TOC), particle size, total polycyclic aromatic hydrocarbons (ΣPAHs), heavy metals (Cd, Cr, Cu, Ni, Pb, and Zn), and benthic diatom community were analyzed. The highest concentrations of ΣPAHs and heavy metals were found near the Haihe Gate. The Shannon diversity index and the relative abundance of Coscinodiscus perforatus (RC) indicated a decreasing trend seaward. Results of Pearson correlation analysis illustrated significant relations between water current velocity and ΣPAHs (p < 0.01), Cr (p < 0.05), and RC (p < 0.05). Path analysis further indicated that water current played an important role in the distribution of PAH, Cr, and RC.
由于人类活动密集,特别是海河河口闸和临港工业区的建设,中国天津海河河口的污染负荷持续增加。2011年,对海河河口的水文变化进行了调查并采集了沉积物。分析了总有机碳(TOC)、粒度、总多环芳烃(ΣPAHs)、重金属(镉、铬、铜、镍、铅和锌)以及底栖硅藻群落。在海河河口闸附近发现了最高浓度的ΣPAHs和重金属。香农多样性指数和穿孔圆筛藻的相对丰度(RC)表明向海呈下降趋势。皮尔逊相关分析结果表明水流速度与ΣPAHs(p < 0.01)、铬(p < 0.05)和RC(p < 0.05)之间存在显著关系。路径分析进一步表明水流在PAH、铬和RC的分布中起着重要作用。