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Transport and distribution of manganese in tidal estuarine system in Taiwan

  • Wen-Cheng LiuEmail author
  • Poi-Jiu Ken
  • Hong-Ming Liu
Research Article
  • 26 Downloads

Abstract

Based on the observed heavy metals in the Danshui River estuarine system, the concentration of manganese (Mn) exceeds the water quality standards. High concentrations of manganese in aquatic environment can cause disturbances in the sodium balance, disturb the metabolism of carbohydrates, and impair the immunological functions of fish. Therefore, a three-dimensional heavy metal transport model was developed and incorporated into the hydrodynamics, salinity, and suspended sediment transport model to evaluate the concentration distribution of the heavy metal manganese (Mn) in the Danshui River estuarine system of northern Taiwan. The model was validated with observational data for water level, tidal current, salinity, suspended sediment concentration, and heavy metal (Mn) concentration that was measured in 2015. The indicators of statistical error, including mean absolute error (MAE), root mean square error (RMSE), and skill score (SS), were adopted to evaluate the model performance. There was good quantitative agreement between the simulation results and measurements. Sensitivity analysis of suspended sediment and heavy metal transport model was carried out to understand which parameters were important to be cautiously determined. Furthermore, the validated model was used to investigate the influence of suspended sediment on the concentration distribution of heavy metals (Mn) in tidal estuaries. If the suspended sediment transport module was excluded in model simulations, the predicted results for the heavy metal (Mn) concentration underestimated the measured data. The modeling results showed that the inclusion of the suspended sediment transport module in the model simulations was critically important to the results of the heavy metal (Mn) concentration in the tidal estuarine system in Taiwan.

Keywords

Heavy metal transport Hydrodynamics Suspended sediment Estuary Three-dimensional model 

Notes

Acknowledgments

The authors would like to express their appreciation to the Taiwan Water Resources Agency and the Taiwan Environmental Protection Administration for providing the observational data. The authors also thank Dr. W. B. Chen of the National Science and Technology Center for Disaster Reduction for setting up the suspended sediment and heavy metal transport model. Two anonymous reviewers are thanked for their constructive comments to substantially improve the paper.

Funding information

This study was partially supported by funding from the Ministry of Science and Technology (MOST), Taiwan, under grant no. 105-2625-M-239-MY2.

References

  1. Abadi M, Zamzni A, Parizanganeh A, Khosravi Y, Badiee H (2018) Heavy metal and arsenic content in water along the southern Caspian coasts in Iran. Environ Sci Pollut Res 25:23725–23735CrossRefGoogle Scholar
  2. Adamo P, Dudka S, Wilson MJ, Mchardy WJ (2002) Distribution of trace elements in soils from the Sudbury smelting area (Ontario, Canada). Water Air Soil Poll 137:95–116CrossRefGoogle Scholar
  3. Allen J, Somerfield P, Gilbert F (2007) Quantifying uncertainty in high-resolution coupled hydrodynamic-ecosystem models. J Mar Syst 64:3–14CrossRefGoogle Scholar
  4. Angelidis MO, Aloupi M (2000) Geochemical study of coast sediments influenced by river-transported pollution: southern Evolkos Gulf, Greece. Mar Pollut Bull 40:77–82CrossRefGoogle Scholar
  5. Ariathuri R, Krone RB (1976) Finite element model for cohesive sediment transport. J Hydrau Eng 102:323–338Google Scholar
  6. Baptista Neto JA, Smith BJ, McAllister JJ (2000) Heavy metal concentrations in surface sediments in a nearshore environment, Jurujuba Sound Brazil. Environ Pollut 109:1–9CrossRefGoogle Scholar
  7. Chen W, Chen K, Kuang C, Zhu DZ, He L, Mao X, Liang H, Song H (2016) Influence of sea level rise on saline water intrusion in the Yangtz River Estuary, China. Appl Ocean Res 54:12–25CrossRefGoogle Scholar
  8. Cho E, Arhonditsis GB, Khim J, Chung S, Heo TY (2016) Modeling metal-sediment interaction process: parameter sensitivity assessment and uncertainty analysis. Environ Model Assess 80:159–174CrossRefGoogle Scholar
  9. Cliffroy P, Moulin C, Gailhard J (2000) A model simulating the transport of dissolved and particulate copper in the Seine river. Ecol Model 127:99–117Google Scholar
  10. Conrad CF, Chisholm-Brause CJ (2004) Spatial survey of trace metal contaminants in the sediments of the Elizabeth River, Virginia. Mar Pollut Bull 49:319–324CrossRefGoogle Scholar
  11. Dauvalter V, Rognerud S (2001) Heavy metal pollution in sediments of the Pasvik River drainage. Chemosphere 42:9–18CrossRefGoogle Scholar
  12. Einstein HA, Krone RB (1962) Experiments to determine modes of cohesive sediment transport in salt water. J Geophys Res 67:1451–1461CrossRefGoogle Scholar
  13. Farajnejad H, Karbassi A, Heldari M (2017) Fate of toxic metals during estuarine mixing of fresh water with saline water. Environ Sci Pollut Res 24:27430–27435CrossRefGoogle Scholar
  14. Gourgue O, Baeyens W, Chen MS, de Brauwere A, de Brye B, Deleersnijder E, Elskens M, Legat V (2013) A depth-averaged two-dimensional sediment transport model for environmental studies in the Scheldt Estuary and tidal river network. J Mar Syst 128:27–39CrossRefGoogle Scholar
  15. Hartnett M, Berry A (2012) Numerical modelling of the transport and transformation of trace metals in a highly dynamic estuarine environment. Adv Eng Softw 44:170–179CrossRefGoogle Scholar
  16. Hartnett M, Lin B, Jones PD, Berry A (2006) Modelling the fate and transport of nickel in the Mersey Estuary. J Environ Sci Health Part A 41:825–847CrossRefGoogle Scholar
  17. Horvat Z, Horvat M (2016) Two-dimensional heavy metal transport model for natural watercourses. River Res Appl 32:1327–1341CrossRefGoogle Scholar
  18. Hsu MH, Kuo AY, Kuo JT, Liu WC (1999) Procedures to calibrate and verify numerical models of estuarine hydrodynamics. J Hydrau Eng 125:166–182CrossRefGoogle Scholar
  19. Ji ZG, Hamrick JH, Pagenkopf J (2002) Sediment and metal modeling in shallow river. J Environ Eng 128:105–119CrossRefGoogle Scholar
  20. Jiann KT, Wen LS, Santschi PH (2007) Trace metal (Cd, Cu, Ni and Pb) partitioning, affinities and removal in the Danshuei River estuary, a micro-tidal, temporally anoxic estuary in Taiwan. Mar Chem 96:293–313CrossRefGoogle Scholar
  21. Karna T, Baptista AM, Lopez JE, Turner PJ, McNeil V, Sanford TB (2015) Numerical modeling of circulation in high-energy estuaries: a Columbia River estuary benchmark. Ocean Model 88:54–71CrossRefGoogle Scholar
  22. Li K, Shi X, Bao X, Ma Q, Wang X (2014) Modeling total maximum allocated loads for heavy metals in Jinzhou Bay, China. Mar Pollut Bull 85:659–664CrossRefGoogle Scholar
  23. Li YH, Burkhardt L, Teraoka H (1984) Desorption and coagulation of trace element during estuarine mixing. Geochem et Cosmochim Acta 48:1879–1884CrossRefGoogle Scholar
  24. Liu WC, Huang WC (2012) Modeling the transport and distribution of fecal coliform in a tidal estuary. Sci Total Environ 431:1–8CrossRefGoogle Scholar
  25. Liu WC, Chen WB, Chang YP (2012) Modeling the transport and distribution of lead in tidal Keelung River estuary. Environ Earth Sci 65:39–47CrossRefGoogle Scholar
  26. Liu WC, Chen WB, Cheng RT, Hsu MH, Kuo AY (2007) Modeling the influence of river discharge on salt intrusion and residual circulation in Danhuei River estuary. Cont Shelf Res 27:900–921CrossRefGoogle Scholar
  27. Liu WC, Hsu MH, Kuo AY (2002) Modelling of hydrodynamics and cohesive sediment transport in Tanshui River estuarine system, Taiwan. Mar Pollut Bull 44:1076–1088CrossRefGoogle Scholar
  28. Lin HJ, Shao KT, Jan RQ, Hsieh HL, Chen CP, Hsieh LY, Hsiao YT (2007) A trophic model for the Danshuei River Estuary, a hypoxic estuary in northern Taiwan. Mar Pollut Bull 54:1789–1800CrossRefGoogle Scholar
  29. Lopez JE, Baptista AM (2017) Benchmarking an unstructured grid sediment model in an energetic estuary. Ocean Model 110:32–48CrossRefGoogle Scholar
  30. Lu S, Li R, Xia X, Zheng J (2014) Use of a three-dimensional model to predict heavy metal (copper) fluxes in the Qujiang estuary. Water Sci Technol 69:1334–1343CrossRefGoogle Scholar
  31. Mehta AJ, Partheniades E (1975) An investigation of the depositional properties of flocculated fine sediments. J Hydraul Res 12:361–381CrossRefGoogle Scholar
  32. Murdoch N, Jones PJC, Falconer RA, Lin B (2010) A modelling assessment of contaminant distributions in the Severn Estuary. Mar Pollut Bull 61:124–131CrossRefGoogle Scholar
  33. Mwanuzi F, De Smedt F (1999) Heavy metal distribution model under estuarine mixing. Hydrol Process 13:789–804CrossRefGoogle Scholar
  34. Mellor GL, Yamada T (1982) Development of a turbulence closure model for geophysical fluid problems. Rev Geophys 20:851–875CrossRefGoogle Scholar
  35. Ng SMY, Wai OWH, Li YS, Li ZL, Jiang Y (2009) Integration of a GIS and a complex three-dimensional hydrodynamic, sediment and heavy metal transport numerical model. Adv Eng Softw 40:391–401CrossRefGoogle Scholar
  36. Pachana K, Wattanakornsiri A, Nanuam J (2010) Heavy metal transport and fate in the environmental compartments. NU Sci J 7:1–11Google Scholar
  37. Partheniades E (1965) Erosion and deposition of cohesive soils. J Hydraul Div 91:105–139Google Scholar
  38. Pinto L, Fortunato AB, Zhang Y, Oliveria A, Sancho FEP (2012) Development of validation of a three-dimensional morphodynamic modelling system for non-cohesive sediments. Ocean Model 57-58:1–14CrossRefGoogle Scholar
  39. Rodi W (1984) Turbulence models and their applications in hydraulics: a state of the art review. International Association for Hydraulics Research. Delft, The NetherlandsGoogle Scholar
  40. Roland A, Zhang Y, Wang HV, Meng Y, Teng YC, Maderich V, Brovchenko I, Dutour-Sikiric M, Zanke U (2012) A fully coupled 3D wave-current interaction model on unstructured grids. J Geophys Res 117:C00J33Google Scholar
  41. Umlauf L, Buchard H (2003) A generic length-scale equation for geophysical turbulence models. J Mar Res 61:235–265CrossRefGoogle Scholar
  42. Umlauf L, Buchard H (2005) Second-order turbulence closure models for geophysical boundary layers. A review of recent work. Cont Shelf Res 25:795–827CrossRefGoogle Scholar
  43. Wang CF, Hsu MH, Liu WC, Hwang JS, Wu JT, Kuo AY (2007) Simulation of water quality and plankton dynamics in the Danshuei River estuary. J Environ Sci Health Part A 42:933–953CrossRefGoogle Scholar
  44. Wang D, Cao A, Zhang J, Fan D, Liu Y, Zhang Y (2018) A three-dimensional cohesive sediment transport model with data assimilation: model development, sensitivity analysis, and parameter estimation. Estuar Coast Shelf Sci 206:87–100CrossRefGoogle Scholar
  45. Wen LS, Jiann KT, Liu KK (2008) Seasonal variation and flux of dissolved nutrients in the Danshuei Estuary, Taiwan: a hypoxic subtropical mountain river. Estuar Coast Shelf Sci 78:694–704CrossRefGoogle Scholar
  46. Wilcox DC (1998) Reassessment of scale determining equation for advance turbulence models. AIAA J 26:1299–1310CrossRefGoogle Scholar
  47. Wilmott CJ (1981) On the validation of models. Phys Geog 2:184–194CrossRefGoogle Scholar
  48. Woitke P, Wellmitz J, Helm D, Kube P, Lepom P, Litheraty P (2003) Analysis and assessment of heavy metal pollution in suspended soils and sediments of the river Danube. Chemosphere 51:633–642CrossRefGoogle Scholar
  49. Wu Y, Falconer RA, Lin B (2005) Modelling trace metal concentration distributions in estuarine waters. Estuar Coast Shelf Sci 64:699–709CrossRefGoogle Scholar
  50. Samano ML, Garcia A, Revilla JA, Alvarez C (2014) Modeling heavy metal concentration distributions in estuarine waters: an application to Suances Estuary (northern Spain). Environ Earth Sci 72:2931–2945CrossRefGoogle Scholar
  51. Saltelli A (2004) Sensitivity analysis in practices: a guide to assessing scientific models. Wiley, New YorkGoogle Scholar
  52. Shrestha OL, Orlob GT (1996) Multiphase distribution of cohesive sediments and heavy metals in estuarine systems. J Environ Eng 122:730–740CrossRefGoogle Scholar
  53. Song Y, Haidvogel D (1994) A semi-implicit ocean circulation model using a generalized topography-following coordinate system. J Comput Phys 115:228–244CrossRefGoogle Scholar
  54. Tappin AD, Burton JD, Millward GE, Statham PJ (1997) A numerical transport model for predicting the distribution of Cd, Cu, Ni, Pb and Zn in the southern North Sea: the sensitivity of model results to the uncertainties in the magnitudes of metal inputs. J Mar Syst 13:173–204CrossRefGoogle Scholar
  55. Turner A, Millward GE (2002) Suspended particles: their role in estuarine biogeochemical cycles. Estuari Coast Shelf Sci 55:857–883CrossRefGoogle Scholar
  56. Turner A, Millward GE, Le Roux SM (2001) Sediment-water partitioning of inorganic mercury in estuaries. Environ Sci Technol 35:4648–4654CrossRefGoogle Scholar
  57. Turner A, Millward GE, Schuchardt B, Schirmer M, Prange A (1992) Trace metal distribution coefficients in the Wester Estuary (Germany). Cont Shelf Res 12:1277–1292CrossRefGoogle Scholar
  58. Zhang Y, Baptista AM (2008) SELFE: A semi-implicit Eulerian-Lagrangian finite-element model for cross-scale ocean circulation. Ocean Model 21:71–96CrossRefGoogle Scholar
  59. Zhang Y, Baptista AM, Myers EP (2004) A cross-scale model for 3D baroclinic circulation in estuary-plume-shelf systems: I. Formulation and skill assessment. Cont Shelf Res 24:2187–2214CrossRefGoogle Scholar
  60. Zhao S, Feng C, Wang D, Liu Y, Shen Z (2013) Salinity increases mobility of Cd, Cu, Mn, and Pb in the sediment of Yangtze Estuary: relative role of sediments’ properties and metal speciation. Chemosphere 91:977–984CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Civil and Disaster Prevention EngineeringNational United UniversityMiaoliTaiwan

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