Abstract
The increasing riverine pollutants have resulted in nutrient enrichment and deterioration of water quality in the coastal water of Guangxi Province, China. However, the quantitative relationship between nutrient loads and water quality responses, which is crucial for developing eutrophication control strategies, is not well studied. In this study, the riverine fluxes of nutrients were quantified and integrated with nutrient cycling and phytoplankton dynamics by using box models for Guangxi coastal bays. The model concepts and biogeochemical equations were the same; while most model parameters were specific for each bay. The parameters were calibrated with seasonal observations during 2006–2007, and validated with yearly averaged measurements in 2009. The general features of nutrient and phytoplankton dynamics were reproduced, and the models were proved feasible under a wide range of bay conditions. Dissolved inorganic nitrogen was depleted during the spring algal bloom in Zhenzhu Bay and Fangcheng Bay with relatively less nutrient inputs. Phosphorus concentration was high in spring, which decreased then due to continuous phytoplankton consumption. Chlorophyll-a concentration reached its annual maximum in summer, but was the minimum in winter. Eutrophication was characterized by both an increase in nutrient concentrations and phytoplankton biomass in Lianzhou Bay. Either about 80% reduction of nitrogen or 70% reduction of phosphorus was required to control the algal bloom in Lianzhou Bay. Defects of the models were discussed and suggestions to the environmental protection of Guangxi coastal bays were proposed.
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References
Baretta, J. W., Ebenöh, W., and Ruardij, P., 1995. The European Regional Seas Ecosystem Model: A complex marine ecosystem model. Netherlands Journal of Sea Research, 33: 233–246.
Chau, K. W., Cheng, C. T., and Li, C. W., 2002. Knowledge management system on flow and water quality modeling. Expert System with Applications, 22(4): 321–330.
Chau, K. W., 2004. A three-dimensional eutrophication modeling in Tolo Harbor. Applied Mathematical Modelling, 28: 849–861.
Chen, Q. Y., 2001. Assessment on situation of water quality in Lianzhou Bay of Guangxi. Marine Environmental Science, 20(2): 62–66 (in Chinese with English abstract).
Cheng, C. T., Wang, W. C., Xu, D. M., and Chau, K. W., 2008. Optimizing hydropower reservoir operation using hybrid genetic algorithm and chaos. Water Resources Management, 22(7): 895–909.
Cloern, J. E., 2001. Our evolving conceptual model of the coastal eutrophication problem. Marine Ecology Progress Series, 210: 223–253.
Editorial Board of Annals of Bays in China (Ed.), 1993. Annals of Bays in China, 12. Ocean Press, Beijing, 335pp, (in Chinese).
Håkanson, L., 2000. The role of characteristic coefficients of variation in uncertainty and sensitivity analyses, with examples related to the structuring of lake eutrophication models. Ecological Modeling, 131: 1–20.
Han, H. Y., Li, K. Q., Wang, X. L., Shi, X. Y., Qiao, X. D., and Liu, J., 2011. Environmental capacity of nitrogen and phosphorus pollutions in Jiaozhou Bay, China: Modelling and assessing. Marine Pollution Bulletin, 63(5–12): 262–266.
He, B. M., and Wei, M. X., 2009. Reasons and mechanism caused red tide in Beihai Bay. Marine Environmental Science, 28(1): 62–66 (in Chinese with English abstract).
Irigoien, X., and Castel, J., 1997. Light limitation and distribution of chlorophyll pigments in a highly turbid estuary: The Gironde (SW France). Estuarine, Coastal and Shelf Science, 44(4): 507–517.
Kashiwai, M., 1984. The concept of tidal exchange and the tidal exchange ratio. Journal of the Oceanographical Society of Japan, 40: 135–147 (in Japanese with English abstract).
Kuusisto, M., Koponen, J., and Sarkkula, J., 1998. Modelled phytoplankton dynamics in the Gulf of Finland. Environmental Modelling & Software, 13: 461–470.
Lan, W. L., 2011. Variation of organic pollution in the last twenty years in Qinzhou Bay and its potential ecological impacts. Acta Ecologica Sinica, 31(20): 5970–5976 (in Chinese with English abstract).
Lan, W. L., and Peng, X. Y., 2011. Variation characteristics of nutrient concentrations in the Tieshangang Bay. Guangxi Sciences, 18(4): 380–384 (in Chinese with English abstract).
Lan, W. L., Wang, X. H., and Li, M. M., 2011. Phytoplankton community structure in Qinzhou Bay during flood season by analysis of HPLC photosynthetic pigment signatures. Acta Ecologica Sinica, 31(13): 3601–3608 (in Chinese with English abstract).
Li, K. Q., Wang, X. L., Shi, X. Y., Zhu, C. J., and Li, R. X., 2007. Modeling nitrogen and phosphorus transport and transformation in pelagic ecosystem in mesocosm in Jiaozhou Bay. Acta Oceanologica Sinica, 29(3): 76–83 (in Chinese with English abstract).
Li, Y. B., Wang, X. L., Han X. R., Li, K. Q., Zhao, X. X., and Shi, X. Y., 2008. An ecosystem model of the phytoplankton competition in the East China Sea, as based on field experiments. Hydrobiologia, 600: 283–296.
Long, X. H., Jiang, Q. H., and Deng, Y., 2011. Study on nutrient salt variation trend and control countermeasures of offshore marine area in Qinzhou Bay during ‘the 11th Five-Year Plan’. Environmental Science and Management, 36(8): 65–68 (in Chinese with English abstract).
Los, F. J., and Wijsman, J. W. M., 2007. Application of a validated primary production model (BLOOM) as a screening tool for marine, coastal and transitional waters. Journal of Marine System, 64: 201–215.
Ménesguen, A., Cugier, P., Loyer, S., Vanhoutte-Brunier, A., Hoch, T., Guillaud, J., and Gohin, F., 2007. Two- or three-layered box-models versus fine 3D models for coastal ecological modelling? A comparative study in the English Channel (Western Europe). Journal of Marine Systems, 64: 47–65.
Muttil, N., and Chau, K. W., 2007. Machine learning paradigms for selecting ecologically significant input variables. Engineering Applications of Artificial Intelligence, 20(6): 735–744.
National Academy of Science (NAS), 1972. A Report of the Committee on Water Quality Criteria. NAS, Washington, D. C., 19–23.
Park, K., Jung, H. S., Kim, H. S., and Ahn, S. M., 2005. Three-dimensional hydrodynamic-eutrophication model (HEM-3D): Application to Kwang-Yang Bay, Korea. Marine Environmental Research, 60: 171–193.
Parker, D. S., Norris, D. P., and Nelson, A. W., 1972. Tidal exchange at Golden Gate. Journal of the Sanitary Engineering Division, 98(2): 305–323.
Qiu, S. F., 2001. Investigation of marine environmental quality in the offshore of four bays of Guangxi. Guangxi Sciences, 8(3): 236–240 (in Chinese with English abstract).
Redfield, A. C., Ketchum, B. H., and Richards, F. A., 1963. The influence of organisms on the composition of seawater. In: The Sea. Vol.2, Hill, M. N., ed., Interscience, New York, 26–77.
Savchuk, O. P., 2002. Nutrient biogeochemical cycles in the Gulf of Riga: Scaling up field studies with a mathematical model. Journal of Marine System, 32: 253–280.
Stow, C. A., Jolliff, J., Mcgillicuddy, D. J., Doney, S. C., Allen, J. I., Friedrichs, M. A. M., Rose, K. A., and Wallhead, P., 2009. Skill assessment for coupled biological/physical models of marine systems. Journal of Marine System, 76: 4–15.
Strickland, J. D. H., and Parsons, T. R. (eds.), 1972. A Practical Handbook of Seawater Analysis. Fisheries Research Board of Canada, Ottawa, Canada, 185–202.
Sun, H. L., Liao, Q. Y., and Huang, W. M., 2002. Field experiment of the solute dilute diffusion and numerical simulation of the COD tidal diffusion near the coast of Guangxi, China. Acta Oceanologica Sinica, 24(5): 115–124 (in Chinese).
Wang, B. D., Wang, X. L., and Zhan, R., 2003. Nutrient conditions in the Yellow Sea and the East China Sea. Estuarine, Coastal and Shelf Science, 58: 127–136.
Wang, P. F., Martin, J., and Morrison, G., 1999. Water quality and eutrophication in Tampa Bay, Florida. Esturine, Coastal and Shelf Science, 49: 1–20.
Wu, C. L., and Chau, K. W., 2006. Mathematical model of water quality rehabilitation with rainwater utilization-A case study at Haigang. International Journal of Environment and Pollution, 28(3–4): 534–545.
Xie, J. X., Cheng, C. T., Chau, K. W., and Pei, Y. Z., 2006. A hybrid adaptive time-delay neural network model for multi-step-ahead prediction of sunspot activity. International Journal of Environment and Pollution, 28(3—4): 364–381.
Xin, M., Wang, B. D., Sun, X., and Xie, L. P., 2010. The distribution characteristics and seasonal variation of nutrients in Guangxi coastal area. Marine Sciences, 34(9): 5–9 (in Chinese with English abstract).
Xu, J., and Hood, R. R., 2005. Modeling biogeochemical cycles in Chesapeake Bay with a coupled physical-biological model. Estuarine, Coastal and Shelf Science, 69: 19–46.
Zhang, C. X., Huang, L. L., Zhong, Q. P., Dai, Z. R., Shen, T. M., and Yang, B., 2011. The analysis and evaluation of seawater quality in Qinzhou Port. Guangzhou Chemical Industry, 39(15): 140–141 (in Chinese with English abstract).
Zhao, J. S., Wang, G. Y., Chen, Z. S., and Geng, S. J. (eds.), 2002. Analysis of Effective Utilization of Marine Environment in Guangxi Coastal Area, Beibu Gulf. Ocean Press, Beijing, 77–131 (in Chinese).
Zhao, M. Y., Cheng, C. T., Chau, K. W., and Li, G., 2006. Multiple criteria data envelopment analysis for full ranking units associated to environment impact assessment. International Journal of Environment and Pollution, 28(3–4): 448–464.
Zhou, S. L., Chen, J. F., and Ma, S. S., 1996. Preliminary study on the laws of seawater exchange in Dingzi Bay. Marine Fisheries Research, 17(1): 49–56 (in Chinese with English abstract).
Zhuang, J. L., Jiang, F. J., Ke, K., Xu, M. B., Zhang, R. C., Wang, Y. B., Peng, Y., and Chen, B., 2011. Monitoring and analysis on a seawater anomaly in Qinzhou Bay. Guangxi Sciences, 18(3): 321–324 (in Chinese with English abstract).
Zhuang, J. L., Xu, M. B., Zhang, R. C., Jiang, F. J., Wang, Y. B., and He, B. J., 2010. Anniversary variation of phytoplankton abundance in Fangchenggang Bay of Guangxi. Guangxi Sciences, 17(4): 387–390 (in Chinese with English abstract).
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Qiao, X., Wang, B., Sun, X. et al. Numerical simulation of nutrient and phytoplankton dynamics in Guangxi coastal bays, China. J. Ocean Univ. China 13, 338–346 (2014). https://doi.org/10.1007/s11802-014-2072-0
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DOI: https://doi.org/10.1007/s11802-014-2072-0