TY - JOUR
T1 - PAH distribution and mass fluxes in the Three Gorges Reservoir after impoundment of the Three Gorges Dam
AU - Deyerling, Dominik
AU - Wang, Jingxian
AU - Hu, Wei
AU - Westrich, Bernhard
AU - Peng, Chengrong
AU - Bi, Yonghong
AU - Henkelmann, Bernhard
AU - Schramm, Karl Werner
N1 - Funding Information:
We like to thank Silke Bernhöft for the support during extraction and laboratory cleanup of samples. Thanks to Christian Franik and Christian Wichmann who helped to correct and improve the manuscript. This project was gratefully funded by the German Ministry of Education and Research (BMBF, 02WT1130 ).
PY - 2014/9/1
Y1 - 2014/9/1
N2 - Mass fluxes of polycyclic aromatic hydrocarbons (PAHs) were calculated for the Three Gorges Reservoir (TGR) in China, based on concentration and discharge data from the Yangtze River. Virtual Organisms (VOs) have been applied during four campaigns in 2008, 2009 (twice) and 2011 at sampling sites distributed from Chongqing to Maoping. The total PAH mass fluxes ranged from 110 to 2160mgs-1. Highest loads were determined at Chongqing with a decreasing trend towards Maoping in all four sampling campaigns. PAH remediation capacity of the TGR was found to be high as the mass flux reduced by more than half from upstream to downstream. Responsible processes are thought to be adsorption of PAH to suspended particles, dilution and degradation. Furthermore, the dependence of PAH concentration upon water depth was investigated at Maoping in front of the Three Gorges Dam. Although considerable differences could be revealed, there was no trend observable. Sampling of water with self-packed filter cartridges confirmed more homogenous PAH depth distribution. Moreover, PAH content of suspended particles was estimated from water concentrations gathered by VOs based on a water-particle separation model and subsequently compared to PAH concentration measured in water and in filter cartridges. It could be shown that the modeled data predicts the concentration caused by particle-bound PAHs to be about 6 times lower than PAHs dissolved in water. Besides, the model estimates the proportions of 5- and 6-ring PAHs being higher than in water phase.
AB - Mass fluxes of polycyclic aromatic hydrocarbons (PAHs) were calculated for the Three Gorges Reservoir (TGR) in China, based on concentration and discharge data from the Yangtze River. Virtual Organisms (VOs) have been applied during four campaigns in 2008, 2009 (twice) and 2011 at sampling sites distributed from Chongqing to Maoping. The total PAH mass fluxes ranged from 110 to 2160mgs-1. Highest loads were determined at Chongqing with a decreasing trend towards Maoping in all four sampling campaigns. PAH remediation capacity of the TGR was found to be high as the mass flux reduced by more than half from upstream to downstream. Responsible processes are thought to be adsorption of PAH to suspended particles, dilution and degradation. Furthermore, the dependence of PAH concentration upon water depth was investigated at Maoping in front of the Three Gorges Dam. Although considerable differences could be revealed, there was no trend observable. Sampling of water with self-packed filter cartridges confirmed more homogenous PAH depth distribution. Moreover, PAH content of suspended particles was estimated from water concentrations gathered by VOs based on a water-particle separation model and subsequently compared to PAH concentration measured in water and in filter cartridges. It could be shown that the modeled data predicts the concentration caused by particle-bound PAHs to be about 6 times lower than PAHs dissolved in water. Besides, the model estimates the proportions of 5- and 6-ring PAHs being higher than in water phase.
KW - Freight
KW - Mass flux
KW - PAH
KW - Pollution
KW - Three Gorges Reservoir
KW - VO
UR - http://www.scopus.com/inward/record.url?scp=84903529553&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2014.03.076
DO - 10.1016/j.scitotenv.2014.03.076
M3 - Article
C2 - 24726518
AN - SCOPUS:84903529553
SN - 0048-9697
VL - 491-492
SP - 123
EP - 130
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -