Exploration of an Urban Lake Management Model to Simulate Chlorine Interference Based on the Ecological Relationships Among Aquatic Species

Overview

Journal Sci Rep

Specialty Science

Date 2018 May 31

PMID 29844456

Authors

Zhiqiang Yan

Yafei Wang

Di Wu

Beicheng Xia

Affiliations

Soon will be listed here.

Abstract

In eutrophic lakes, algae are known to be sensitive to chlorine, but the impact of chlorine on the wider ecosystem has not been investigated. To quantitatively investigate the effects of chlorine on the urban lake ecosystem and analyze the changes in the aquatic ecosystem structure, a dynamic response model of aquatic species to chlorine was constructed based on the biomass density dynamics of aquatic species of submerged macrophytes, phytoplankton, zooplankton, periphyton, and benthos. The parameters were calibrated using data from the literature and two simulative experiments. The model was then validated using field data from an urban lake with a surface area of approximately 8000 m located in the downtown area of Guangzhou, South China. The correlation coefficient (R), root mean square error-observations standard deviation ratio (RSR) and index of agreement (IOA) were used to evaluate the accuracy and reliability of the model and the results were consistent with the observations (0.446 R < 0.985, RSR < 0.7, IOA > 0.6). Comparisons between the simulated and observed trends confirmed the feasibility of using this model to investigate the dynamics of aquatic species under chlorine interference. The model can help managers apply a modest amount of chlorine to control eutrophication and provides scientific support for the management of urban lakes.

References

Kagalou I, Papastergiadou E, Leonardos I . Long term changes in the eutrophication process in a shallow Mediterranean lake ecosystem of W. Greece: response after the reduction of external load. J Environ Manage. 2007; 87(3):497-506. DOI: 10.1016/j.jenvman.2007.01.039. View

Arnon D . COPPER ENZYMES IN ISOLATED CHLOROPLASTS. POLYPHENOLOXIDASE IN BETA VULGARIS. Plant Physiol. 1949; 24(1):1-15. PMC: 437905. DOI: 10.1104/pp.24.1.1. View

Willuweit L, OSullivan J . A decision support tool for sustainable planning of urban water systems: presenting the Dynamic Urban Water Simulation Model. Water Res. 2013; 47(20):7206-20. DOI: 10.1016/j.watres.2013.09.060. View

Paerl H, Xu H, McCarthy M, Zhu G, Qin B, Li Y . Controlling harmful cyanobacterial blooms in a hyper-eutrophic lake (Lake Taihu, China): the need for a dual nutrient (N & P) management strategy. Water Res. 2010; 45(5):1973-83. DOI: 10.1016/j.watres.2010.09.018. View

Zhang Y, Liu X, Qin B, Shi K, Deng J, Zhou Y . Aquatic vegetation in response to increased eutrophication and degraded light climate in Eastern Lake Taihu: Implications for lake ecological restoration. Sci Rep. 2016; 6:23867. PMC: 4819184. DOI: 10.1038/srep23867. View

Xiao F, Gulliver J, Simcik M . Perfluorooctane sulfonate (PFOS) contamination of fish in urban lakes: a prioritization methodology for lake management. Water Res. 2013; 47(20):7264-72. DOI: 10.1016/j.watres.2013.09.063. View

Mao J, Chen Q, Chen Y . Three-dimensional eutrophication model and application to Taihu Lake, China. J Environ Sci (China). 2008; 20(3):278-84. DOI: 10.1016/s1001-0742(08)60044-3. View

Liu H, Benoit G, Liu T, Liu Y, Guo H . An integrated system dynamics model developed for managing lake water quality at the watershed scale. J Environ Manage. 2015; 155:11-23. DOI: 10.1016/j.jenvman.2015.02.046. View

Paerl H, Valdes L, Joyner A, Piehler M, Lebo M . Solving problems resulting from solutions: evolution of a dual nutrient management strategy for the eutrophying Neuse River Estuary, North Carolina. Environ Sci Technol. 2004; 38(11):3068-73. DOI: 10.1021/es0352350. View

10.

Li M, Sheng G, Wu Y, Yu Z, Banuelos G, Yu H . Enhancement of nitrogen and phosphorus removal from eutrophic water by economic plant annual ryegrass (Lolium multiflorum) with ion implantation. Environ Sci Pollut Res Int. 2014; 21(16):9617-25. DOI: 10.1007/s11356-014-2987-4. View

11.

Whitehead P, Jin L, Crossman J, Comber S, Johnes P, Daldorph P . Distributed and dynamic modelling of hydrology, phosphorus and ecology in the Hampshire Avon and Blashford Lakes: evaluating alternative strategies to meet WFD standards. Sci Total Environ. 2014; 481:157-66. DOI: 10.1016/j.scitotenv.2014.02.007. View

12.

Slocombe . FORUM: Defining Goals and Criteria for Ecosystem-Based Management. Environ Manage. 1998; 22(4):483-93. DOI: 10.1007/s002679900121. View

13.

Zhang L, Liu J . AQUATOX coupled foodweb model for ecosystem risk assessment of Polybrominated diphenyl ethers (PBDEs) in lake ecosystems. Environ Pollut. 2014; 191:80-92. DOI: 10.1016/j.envpol.2014.04.013. View

14.

Kuo J, Hsieh P, Jou W . Lake eutrophication management modeling using dynamic programming. J Environ Manage. 2007; 88(4):677-87. DOI: 10.1016/j.jenvman.2007.03.027. View

15.

Liu Y, Wang Y, Sheng H, Dong F, Zou R, Zhao L . Quantitative evaluation of lake eutrophication responses under alternative water diversion scenarios: a water quality modeling based statistical analysis approach. Sci Total Environ. 2013; 468-469:219-27. DOI: 10.1016/j.scitotenv.2013.08.054. View

16.

Lin T, Chen W, Cai B . The use of chlorine dioxide for the inactivation of copepod zooplankton in drinking water treatment. Environ Technol. 2014; 35(21-24):2846-51. DOI: 10.1080/09593330.2014.924566. View

17.

Wu Z, Liu Y, Liang Z, Wu S, Guo H . Internal cycling, not external loading, decides the nutrient limitation in eutrophic lake: A dynamic model with temporal Bayesian hierarchical inference. Water Res. 2017; 116:231-240. DOI: 10.1016/j.watres.2017.03.039. View