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Environmental Science and Pollution Research

, Volume 20, Issue 10, pp 7009–7026 | Cite as

An integrated approach to model the biomagnification of organic pollutants in aquatic food webs of the Yangtze Three Gorges Reservoir ecosystem using adapted pollution scenarios

  • Björn Scholz-Starke
  • Richard Ottermanns
  • Ursula Rings
  • Tilman Floehr
  • Henner Hollert
  • Junli Hou
  • Bo Li
  • Ling Ling Wu
  • Xingzhong Yuan
  • Katrin Strauch
  • Hu Wei
  • Stefan Norra
  • Andreas Holbach
  • Bernhard Westrich
  • Andreas Schäffer
  • Martina Roß-Nickoll
Processes and Environmental Quality in the Yangtze River System

Abstract

The impounding of the Three Gorges Reservoir (TGR) at the Yangtze River caused large flooding of urban, industrial, and agricultural areas, and profound land use changes took place. Consequently, substantial amounts of organic and inorganic pollutants were released into the reservoir. Additionally, contaminants and nutrients are entering the reservoir by drift, drainage, and runoff from adjacent agricultural areas as well as from sewage of industry, aquacultures, and households. The main aim of the presented research project is a deeper understanding of the processes that determines the bioaccumulation and biomagnification of organic pollutants, i.e., mainly pesticides, in aquatic food webs under the newly developing conditions of the TGR. The project is part of the Yangtze-Hydro environmental program, financed by the German Ministry of Education and Science. In order to test combinations of environmental factors like nutrients and pollution, we use an integrated modeling approach to study the potential accumulation and biomagnification. We describe the integrative modeling approach and the consecutive adaption of the AQUATOX model, used as modeling framework for ecological risk assessment. As a starting point, pre-calibrated simulations were adapted to Yangtze-specific conditions (regionalization). Two exemplary food webs were developed by a thorough review of the pertinent literature. The first typical for the flowing conditions of the original Yangtze River and the Daning River near the city of Wushan, and the second for the stagnant reservoir characteristics of the aforementioned region that is marked by an intermediate between lake and large river communities of aquatic organisms. In close cooperation with German and Chinese partners of the Yangtze-Hydro Research Association, other site-specific parameters were estimated. The MINIBAT project contributed to the calibration of physicochemical and bathymetric parameters, and the TRANSMIC project delivered hydrodynamic models for water volume and flow velocity conditions. The research questions were firstly focused on the definition of scenarios that could depict representative situations regarding food webs, pollution, and flow conditions in the TGR. The food webs and the abiotic site conditions in the main study area near the city of Wushan that determine the environmental preconditions for the organisms were defined. In our conceptual approach, we used the pesticide propanil as a model substance.

Keywords

Three Gorges Reservoir Yangtze food webs Bioaccumulation Biomagnification AQUATOX framework Regionalization Simulation Environmental risk assessment Integrated environmental modeling 

Notes

Acknowledgments

Our study has been carried out as part of the project MICROTOX (“Transformation, Bioaccumulation and Toxicity of Organic Micropollutants in the Yangtze Three Gorges Reservoir” which is integrated into the joint environmental research program “Yangtze-Hydro-sustainable Management of the Newly Created Ecosystem at the Three Gorges Dam” (Bergmann et al. 2012, www.yangtze-project.de). The project has been financed by the Federal Bureau of Education and Science of Germany (BMBF) as part of the research cluster “Pollutants/Water/Sediment—Impacts of Transformation and Transportation Processes on the Yangtze Water Quality.”

References

  1. Abbott JD, Hinton SW, Borton DL (1995) Pilot scale validation of the river/fish bioaccumulation modeling program for nonpolar hydrophobic organic compounds using the model compounds 2,3,7,8-TCDD and 2,3,7,8-TCDF. Environ Toxicol Chem 14:1999–2012CrossRefGoogle Scholar
  2. Allison G, Morita M (1995) Bioaccumulation and toxic effects of elevated levels of 3,3′,4,4′-tetrachloroazobenzene (33′44′-TCAB) towards aquatic organisms. II: Bioaccumulation and toxic effects of dietary 33′44-TCAB on the Japanese medaka (Oryzias latipes). Chemosphere 30:223–232CrossRefGoogle Scholar
  3. Argent RM (2004) An overview of model integration for environmental applications—components, frameworks and semantics. Environ Modell Softw 19:219–234CrossRefGoogle Scholar
  4. Arnot JA, Gobas FAPC (2003) A generic QSAR for assessing the bioaccumulation potential of organic chemicals in aquatic food-webs. QSAR Comb Sci 22:337–345CrossRefGoogle Scholar
  5. Ashauer R, Caravatti I, Hintermeister A, Escher BI (2010) Bioaccumulation kinetics of organic xenobiotic pollutants in the freshwater invertebrate Gammarus pulex modeled with prediction intervals. Environ Toxicol Chem 28:1625–1636CrossRefGoogle Scholar
  6. Benigni R, Bossa C (2008) Predictivity of QSAR. J Chem Inf Model 48:971–980CrossRefGoogle Scholar
  7. Bergmann A, Bi Y, Chen L, Floehr T, Henkelmann B, Holbach A, Hollert H, Hu W, Kranzioch I, Klumpp E, Küppers S, Norra S, Ottermanns R, Pfister G, Roß-Nickoll M, Schäffer A, Schleicher N, Schmidt B, Scholz-Starke B, Schramm KW, Subklew G, Tiehm A, Temoka C, Wang J, Westrich B, Wilken RD, Wolf A, Xiang X, Yuan Y (2012) The Yangtze-Hydro Project: a Chinese–German environmental program. Environ Sci Pollut Res 19:1341–1344CrossRefGoogle Scholar
  8. Bunn SE, Arthington AH (2002) Basic principles and ecological consequences of altered flow regimes for aquatic biodiversity. Environ Manag 30:492–507CrossRefGoogle Scholar
  9. Calkins HA, Tripp SJ, Garvey JE (2012) Linking silver carp habitat selection to flow and phytoplankton in the Mississippi river. Biol Invasions 14:949–958CrossRefGoogle Scholar
  10. Casagrande CE (1995) The MiniBAT—a miniaturized towed sampling system. OCEANS '95. MTS/IEEE. Challenges of our changing global environment. Conference Proc 1:638–641Google Scholar
  11. Chen Z, Li J, Shen H, Zhanghua W (2001) Yangtze River of China: historical analysis of discharge variability and sediment flux. Geomorphology 41:77–91CrossRefGoogle Scholar
  12. China Three Gorges Corporation (2010) Annual Report 2009. Available from http://www.ctgpc.com/file/Annual_Report_2009.pdf. Accessed August 2012
  13. Chisaka H, Kearney PC (1970) Metabolism of propanil in soils. J Agric Food Chem 18:854–858CrossRefGoogle Scholar
  14. Cook JC, Mullin LS, Frame SR, Biegel LB (1993) Investigation of a mechanism for Leydig cell tumorigenesis by linuron in rats. Toxicol Appl Pharmacol 119:195–204CrossRefGoogle Scholar
  15. Corbett JR, Wright K, Baillie AC (1984) The biochemical mode of action of pesticides. Academic, LondonGoogle Scholar
  16. Cui Y, Liu X, Wang S, Che S (1992) Growth and energy budget in young grass carp, Ctenopharyngodon idellu Val., fed plant and animal diets. J Fish Biol 41:231–238CrossRefGoogle Scholar
  17. Dai H, Zheng T, Liu D (2010) Effects of reservoir impounding on key ecological factors in the Three Gorges Region. Procedia Environ Sci 2:15–24CrossRefGoogle Scholar
  18. Desortova B (1981) Relationship between chlorophyll-a concentration and phytoplankton biomass in several reservoirs in Czechoslovakia. Int Rev Ges Hydrobio 66:153–169CrossRefGoogle Scholar
  19. DLR-German Aerospace Center (2000) Global land survey digital elevation model. Available from http://www.dlr.de/eoc/en/desktopdefault.aspx/tabid-5515/9214_read-17716/. Accessed October 2012
  20. Duan X, Liu S, Huang M, Qiu S, Li Z, Wang K, Chen D (2009) Changes in abundance of larvae of the four domestic Chinese carps in the middle reach of the Yangtze river, China, before and after closing of the Three Gorges Dam. Env Biol Fish 86:13–22CrossRefGoogle Scholar
  21. Echeverría M, Wellman M, Park R, Clough J (2003) Evaluation of AQUATOX for ecological risk assessments in the U.S. EPA Office of Pesticide Programs. SETAC NA 24th Annual Meeting in North America, Austin, Texas.Google Scholar
  22. European Chemicals Bureau (2006) European Union risk assessment report—3,4-dichloroaniline (3,4-DCA). 3rd priority list. Volume 65. ISSN 1018-5593.Google Scholar
  23. FOCUS (2001) FOCUS surface water scenarios in the EU evaluation process under 91/414/EEC. Report of the FOCUS Working Group on Surface Water Scenarios, EC Document Reference SANCO/4802/2001—rev.2.Google Scholar
  24. Foo KY, Hameed BH (2010) Insights into the modeling of adsorption isotherm systems. Chem Eng J 156:2–10CrossRefGoogle Scholar
  25. Froese R, Pauly D (eds.) (2012) FishBase. World Wide Web electronic publication. http://www.fishbase.org, update ver. (accessed October 2012).
  26. Gobas FAPC, McNeil EJ, Lovett-Doust L, Haffner GD (1991) Bioconcentration of chlorinated aromatic hydrocarbons in aquatic macrophytes (Myriophyllum spicatum). Environ Sci Technol 25:924–929CrossRefGoogle Scholar
  27. Hervouet JM (2007) Hydrodynamics of free surface flows: modelling with the finite element method. Wiley, New YorkGoogle Scholar
  28. Hisschemöller M, Tol RSJ, Vellinga P (2001) The relevance of participatory approaches in integrated environmental assessment. Integr Assess 2:57–72CrossRefGoogle Scholar
  29. Hou TJ, Xu XJ (2003) ADME evaluation in drug discovery. 2. Prediction of partition coefficient by atom-additive approach based on atom-weighted solvent accessible surface areas. J Chem Inf Comp Sci 43:1058–1067CrossRefGoogle Scholar
  30. Hsia MT, Kreamer BL (1981) Metabolism studies of 3,3′,4,4′-tetrachloroazobenzene. I. In vitro metabolic pathways with rat liver microsomes. Chem-Biol Interact 34:19–29CrossRefGoogle Scholar
  31. IUCN (2012) The IUCN red list of threatened species. Version 2012.2. Available from http://www.iucnredlist.org. Accessed October 2012
  32. Jopp F, Breckling B, Reuter H, DeAngelis DL (2011) Perspectives in ecological modelling. In: Jopp F, Reuter H, Breckling B (eds) Modelling complex ecological dynamics. Springer, Berlin, pp 341–347CrossRefGoogle Scholar
  33. Kawanabe H (1996) Asian great lakes, especially lake Biwa. Env Biol Fish 47:219–234CrossRefGoogle Scholar
  34. Kazius J, McGuire R, Bursi R (2005) Derivation and validation of toxicophores for mutagenicity prediction. J Med Chem 48:312–320CrossRefGoogle Scholar
  35. Kirkağac MU, Demir N (2006) The effects of grass carp (Ctenopharyngodon idella Val., 1844) on water quality, plankton, macrophytes and benthic macroinvertebrates in a spring pond. Turk J Fish Aquat Sci 6:7–15Google Scholar
  36. Klopman G, Zhu H (2001) Estimation of the aqueous solubility of organic molecules by the group contribution approach. Journal of Chemical Information and Computer Science 41: 439–445. Errata: 2001, 41: 1096–1097.Google Scholar
  37. Kocovsky PM, Chapman DC, McKenna JE (2012) Thermal and hydrologic suitability of Lake Erie and its major tributaries for spawning of Asian carps. J Great Lakes Res 38:159–166CrossRefGoogle Scholar
  38. Koelmans AA, Heugens EHW (1998) Binding constants of chlorobenzenes and polychlorobiphenyls for algal exudates. Water Sci Technol 37:67–73CrossRefGoogle Scholar
  39. Krupska J, Pelechaty M, Pukacz A, Ossowski P (2012) Effects of grass carp introduction on macrophyte communities in a shallow lake. Oceanol Hydrobiol Stud 41:35–40CrossRefGoogle Scholar
  40. Labrada R (2003) The need for improved weed management in rice. FAO: Proceedings of the 20th Session of the International Rice Commission (Bangkok, Thailand, 23–26 July 2002). Available from http://www.fao.org/docrep/006/y4751e/y4751e00.htm. Accessed October 2012
  41. Lei B, Huang S, Qiao M, Li T, Wang Z (2008) Prediction of the environmental fate and aquatic ecological impact of nitrobenzene in the Songhua River using the modified AQUATOX model. J Environ Sci 20:769–777CrossRefGoogle Scholar
  42. Lenk W, Sterzl H (1984) Peroxidase activity of oxyhaemoglobin in vitro. Xenobiotica 14:581–588CrossRefGoogle Scholar
  43. Liu XQ, Wang HZ (2008) Food web of benthic macroinvertebrates in a large Yangtze River-connected lake: the role of flood disturbance. Fund Appl Limnol (Archiv für Hydrobiologie) 171:297–309CrossRefGoogle Scholar
  44. Lyman WJ, Reehl WF, Rosenblatt DH (1982) Handbook of chemical property estimation methods. McGraw-Hill, New YorkGoogle Scholar
  45. Mackay D (1982) Correlation of bioconcentration factors. Environ Sci Technol 16:274–278CrossRefGoogle Scholar
  46. McAllister DE, Craig JF, Davidson N, Delany S, Seddon M (2001) Biodiversity Impacts of Large Dams. Background Paper Nr. 1. Prepared for IUCN/UNEP/WCD.Google Scholar
  47. Med-Rice (2003) Guidance document for environmental risk assessments of active substances used on rice in the EU for Annex-I-inclusion. Final Report of the Working Group ‘MED-RICE’ prepared for the European Commission 1 in the framework of Council Directive 91/414/EEC. Sanco/1090/2000-rev.1.Google Scholar
  48. Meylan WM, Howard PH (1991) Bond contribution method for estimating Henry’s law constants. Environ Toxicol Chem 10:1283–1293CrossRefGoogle Scholar
  49. Ministry of Health of Italy (2006) Propanil—report and proposed decision of Italy made to the European Commission under 91/414/EEC. European Commission, Brussels. Volumes 1–9.Google Scholar
  50. Müller B, Berg M, Yao ZP, Zhang XF, Wang D, Pfluger A (2008) How polluted is the Yangtze river? Water quality downstream from the Three Gorges Dam. Sci Total Environ 402:232–247CrossRefGoogle Scholar
  51. Nabholz V, Mayo-Bean K (2009) ECOWIN. ECOSAR Classes for Microsoft Windows. v.1.00. USEPA OPPT Risk Assessment Division.Google Scholar
  52. Park RA, Clough JS (2010) Aquatox (Release 3.1 Beta) Modeling environmental fate and ecological effects in aquatic ecosystems. Draft Volume 2: technical documentation. United States Environmental Protection Agency. Office of Water (4305). EPA-823-R-09-004. DRAFT October 2010.Google Scholar
  53. Park RA, Clough JS, Coombs Wellman M (2008) AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems. Ecol Model 213:1–15CrossRefGoogle Scholar
  54. Park RA, Clough JS, Wellman MC, Donigian AS (2005) Nutrient criteria development with a linked modeling system: calibration of AQUATOX across a nutrient gradient. TMDL 2005. Water Environment Federation, Philadelphia, pp 885–902Google Scholar
  55. Pieper DH, Winkler R, Sandermann H (1992) Formation of a toxic dimerization product of 3,4-dichloroaniline by lignin peroxidase from Phanerochaete chrysosporiurn. Angew Chem Int Ed 31:68–69CrossRefGoogle Scholar
  56. Poole SK, Poole CF (1999) Chromatographic models for the sorption of neutral organic compounds by soil from water and air. J Chromatogr A 845:381–400CrossRefGoogle Scholar
  57. PPDB (2009) The Pesticide Properties Database (PPDB). Agriculture and Environment Research Unit (AERU), University of Hertfordshire, funded by UK national sources and the EU-funded FOOTPRINT project (FP6-SSP-022704).Google Scholar
  58. Preziosi DV, Pastorok RA (2008) Ecological food web analysis for chemical risk assessment. Sci Total Environ 406:491–502CrossRefGoogle Scholar
  59. Raimondo S, Vivian DN, Barron MG (2010) Web-based Interspecies Correlation Estimation (Web-ICE) for acute toxicity: user manual. Version 3.1. EPA/600/R-10/004. Office of Research and Development, U. S. Environmental Protection Agency. Gulf Breeze, FL.Google Scholar
  60. Schüürmann G, Ebert RU, Nendza M, Dearden JC, Paschke A, Kuehne R (2007) Prediction of fate-related compound properties. In: van Leeuwen K, Vermeire T (eds) Risk assessment of chemicals. An introduction. Springer, Dordrecht, pp 375–426CrossRefGoogle Scholar
  61. Schüürmann G, Kuehne R, Kleint F, Ebert RU, Rothenbacher C, Herth P (1997) A software system for automatic chemical property estimation from molecular structure. In: Chen F, Schüürmann G (eds) Quantitative structure-activity relationships in environmental sciences. VII SETAC Press, Pensacola, pp 93–114Google Scholar
  62. Schwarzenbach RP, Gschwend PM, Imboden DM (1993) Environmental organic chemistry. Wiley, New YorkGoogle Scholar
  63. Schwoerbel J (1999) Einführung in die Limnologie, 8th edn. Gustav Fischer, StuttgartGoogle Scholar
  64. Southworth GR, Beauchamp JJ, Schmieder PK (1978) Bioaccumulation potential of polycyclic aromatic hydrocarbons in Daphnia pulex. Water Res 12:973–977CrossRefGoogle Scholar
  65. Still GG (1969) 3,4,3′,4′-tetrachloroazobenzene its translocation and metabolism in rice plants. Weed Sci 9:211–217Google Scholar
  66. Stüben D, Walpersdorf E, Voss K, Baborowski M, Luther G, Elsner W, Rönicke H, Schimmele M (1998) Application of Lake Marl at Lake Arendsee, NE Germany: first results of a geochemical monitoring during the restoration experiment. Sci Total Environ 218:33–44CrossRefGoogle Scholar
  67. U.S. Army Corps of Engineers (2001) HEC-RAS river analysis system user’s manual. US Army Corps of Engineers, Davis, CAGoogle Scholar
  68. UFZ Department of Ecological Chemistry (2012) ChemProp 5.2.8. Available from http://www.ufz.de/index.php?en=6738. Accessed October 2012
  69. US Geological Survey (USGS) (2008) The Cheney Reservoir and Watershed Study. Available from http://ks.water.usgs.gov/studies/qw/cheney/. Accessed October 2012
  70. Van Birgelen APJM, Hebert CD, Wenk ML, Grimes LK, Chapin RE, Mahler J, Trevlos GS (1999) Toxicity of 3,3′,4,4′-tetrachloroazobenzene in rats and mice. Toxicol Appl Pharmacol 156:147–159CrossRefGoogle Scholar
  71. Van den Brink PJ, Ter Braak CJF (1999) Principal response curves: analysis of time-dependent multivariate responses of biological community to stress. Environ Toxicol Chem 18:138–148CrossRefGoogle Scholar
  72. Wang J, Bi Y, Pfister G, Henkelmann B, Zhu K, Schramm KW (2009) Determination of PAH, PCB, and OCP in water from the Three Gorges Reservoir accumulated by semipermeable membrane devices (SPMD). Chemosphere 75:1119–1127CrossRefGoogle Scholar
  73. Wanner GA, Klumb RA (2009) Length–weight relationships for three Asian carp species in the Missouri River. National Invasive Species Council materials, Paper 31Google Scholar
  74. Wilczynska AJ, Puzyn T, Piliszek S, Falandysz J (2006) Selection of representative congener for polychlorinated transazobenzenes (PCt-ABs) based on comprehensive thermodynamical and quantum-chemical characterization. J Environ Sci Heal B 41:1131–1142CrossRefGoogle Scholar
  75. Witt KL, Zeiger E, Tice RR, Van Birgelen APJM (2000) The genetic toxicity of 3,3′,4,4′-tetrachloroazobenzene and 3,3′,4,4′-tetrachloroazoxybenzene: discordance between acute mouse bone marrow and subchronic mouse peripheral blood micronucleus test results. Mutat Res Genet Toxicol Environ Mutagen 472:147–154CrossRefGoogle Scholar
  76. Wolf A, Bergmann A, Wilken RD, Gao X, Bi Y, Chen H, Schüth C (2012) Spatial and temporal distribution of organic trace substances in the Three Gorges Reservoir, China. Submitted to Environmental Science and Pollution Research October 2012Google Scholar
  77. Worobey BL (1984) Fate of 3,3′,4,4′-tetrachloroazobenzene in soybean plants grown in treated soils. Chemosphere 13:1103–1111CrossRefGoogle Scholar
  78. Worobey BL (1988) Translocation and disposition of [14C] trans 3,4,3′,4′-tetrachloroazobenzene into carrots grown in treated soil. Chemosphere 17:1727–1734CrossRefGoogle Scholar
  79. Wui YS, Engle CR (2007) The economic impact of restricting use of black carp for snail control on hybrid striped bass farms. N Am J Aquacult 69:127–138CrossRefGoogle Scholar
  80. Xia AJ, Chen XH, Cai YX, Peng G, Wang MH (2006) The status of zoobenthos community structure and preliminary evaluation of water quality in the Jiangsu section of the Yangtze river. Mar Fish 28:272–277Google Scholar
  81. Xie P (2003) Three-Gorges Dam: risk to ancient fish. Science 302:1149CrossRefGoogle Scholar
  82. Xu X, Tan Y, Yang G, Li H (2011) Three Gorges Project: effects of resettlement on nutrient balance of the agroecosystems in the reservoir area. J Environ Plan Manag 54:517–537CrossRefGoogle Scholar
  83. Yang D, Chen F, Li D, Liu B (1997) Preliminary study on the food composition of mud eel, Monopterus albus. Acta Hydrobiologica Sinica 1.Google Scholar
  84. Yang G, Weng L, Li L (2008) Yangtze conservation and development report 2007. Science Press, BeijingGoogle Scholar
  85. Yi Y, Wang Z, Yang Z (2010) Impact of the Gezhouba and Three Gorges Dams on habitat suitability of carps in the Yangtze River. J Hydrol 387:283–291CrossRefGoogle Scholar
  86. Yong Z (2010) Pesticide Pollution to Water Environment of Three Gorges Reservoir Area. International Conference on Challenges in Environmental Science and Computer Engineering.Google Scholar
  87. Zhang C (2000) Wild and Weedy Rice in China. In: Baki B, Chin D, Mortimer M (eds) Wild and weedy rice in rice ecosystems in Asia—a review. International Rice Research Institute, Los Banos, PhilippinesGoogle Scholar
  88. Zhang G, Wu L, Li H, Liu M, Cheng F, Murphy BR, Xie S (2012) Preliminary evidence of delayed spawning and suppressed larval growth and condition of the major carps in the Yangtze River below the Three Gorges Dam. Environ Biol Fish 93:439–447CrossRefGoogle Scholar
  89. Zhou Q, Xie P, Xu J, Ke Z, Guo L (2009) Growth and food availability of silver and bighead carps: evidence from stable isotope and gut content analysis. Aquac Res 40:1616–1625CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Björn Scholz-Starke
    • 1
  • Richard Ottermanns
    • 1
  • Ursula Rings
    • 1
  • Tilman Floehr
    • 1
  • Henner Hollert
    • 1
  • Junli Hou
    • 2
  • Bo Li
    • 3
  • Ling Ling Wu
    • 4
  • Xingzhong Yuan
    • 3
  • Katrin Strauch
    • 1
  • Hu Wei
    • 5
  • Stefan Norra
    • 5
  • Andreas Holbach
    • 5
  • Bernhard Westrich
    • 6
  • Andreas Schäffer
    • 1
  • Martina Roß-Nickoll
    • 1
  1. 1.Institute for Environmental ResearchRWTH Aachen UniversityAachenGermany
  2. 2.East China Sea Fisheries Research InstituteShanghaiChina
  3. 3.College of Resources and Environmental ScienceChongqing UniversityChongqingChina
  4. 4.Institute of Environmental Science and EngineeringTongji UniversityShanghaiChina
  5. 5.Institute of Mineralogy and GeochemistryKarlsruhe Institute of TechnologyKarlsruheGermany
  6. 6.Institute of Hydraulic EngineeringUniversity of StuttgartStuttgartGermany

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