Literature DB >> 24941354

Three Gorges Reservoir: density pump amplification of pollutant transport into tributaries.

Andreas Holbach1, Stefan Norra, Lijing Wang, Yuan Yijun, Wei Hu, Binghui Zheng, Yonghong Bi.   

Abstract

The impoundment of the Three Gorges Reservoir (TGR) on the Yangtze River in China burdened its tributary backwaters with severe environmental problems.1 Confluence zones of reservoir tributaries with the Yangtze River main channel are main drivers of pollutant dynamics in the TGR2 and are thus keys to develop mitigation measures. Here, we show a novel experimental approach of spatiotemporal water quality analysis to trace water mass movements and identify pollutant transport pathways in reservoir water bodies. Our results show the movements of density currents in a major tributary backwater of the TGR. A huge interflow density current from the Yangtze River main channel transported its heavy metal carriage to the upstream reaches of the tributary backwater. Water from the upstream backwater moved counterwise and carried less but pollutant-enriched suspended sediments. This scenario illustrates the importance of confluence zone hydrodynamics for fates and pathways of pollutants through the widely unknown hydrodynamics of new reservoirs.

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Year:  2014        PMID: 24941354     DOI: 10.1021/es501132k

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  2 in total

1.  Since 2015 the SinoGerman research project SIGN supports water quality improvement in the Taihu region, China.

Authors:  Kathrin Rachel Schmidt; Tim Aus der Beek; Xiaohu Dai; Bingzhi Dong; Elke Dopp; Florian Eichinger; Monika Hammers-Wirtz; Regina Haußmann; Andreas Holbach; Henner Hollert; Marc Illgen; Xia Jiang; Jan Koehler; Stephan Koester; Andreas Korth; Stephan Kueppers; Aili Li; Matthias Lohmann; Christian Moldaenke; Stefan Norra; Boqiang Qin; Yanwen Qin; Moritz Reese; Edmund Riehle; Beatrix Santiago-Schuebel; Charlotte Schaefer; Anne Simon; Yonghui Song; Christian Staaks; Joerg Steinhardt; Guenter Subklew; Tao Tao; Tingfeng Wu; Daqiang Yin; Fangfang Zhao; Binghui Zheng; Meiyue Zhou; Hua Zou; Jiane Zuo; Andreas Tiehm
Journal:  Environ Sci Eur       Date:  2016-10-27       Impact factor: 5.893

2.  Hyperspectral Data and Machine Learning for Estimating CDOM, Chlorophyll a, Diatoms, Green Algae and Turbidity.

Authors:  Sina Keller; Philipp M Maier; Felix M Riese; Stefan Norra; Andreas Holbach; Nicolas Börsig; Andre Wilhelms; Christian Moldaenke; André Zaake; Stefan Hinz
Journal:  Int J Environ Res Public Health       Date:  2018-08-30       Impact factor: 3.390

  2 in total

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