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New model to assessing nutrient assimilative capacity in plant-dominated lakes: Considering ecological effects of hydrological changes

Author

Listed:
  • Xu, Zhihao
  • Yin, Xinan
  • Yang, Zhifeng
  • Cai, Yanpeng
  • Sun, Tao

Abstract

Assessing nutrient assimilative capacity of water body is an essential component of the Total Maximum Daily Load program. Nutrient assimilative capacity of lakes is affected by hydrological changes through physical effects on the dilution capacity of water body and ecological effects on nutrient removal processes. Previous research has focused on the effects of hydrological changes on dilution capacity, but rarely considered the ecological effects on nutrient assimilative capacity. In this study, a process-based model considering both ecological effects and dilution effects of hydrological changes is proposed for assessing nitrogen and phosphorus assimilative capacities of plant-dominated lakes. Plant uptake and biological denitrification are two crucial nutrient removal processes. Water depths in a lake affect plant growing area. Lake submerged condition affects nutrient accumulation capacity of plants and the intensity of biological denitrification. The model considered dynamic variations of lake water depths and submerged condition, and the associated effects on nutrient removal by plant nutrient uptake and biological denitrification in lake systems. It is a discrete 0D model depending on a small amount of data and has satisfactory simulation accuracy. We chose the largest freshwater lake in northern China (Baiyangdian Lake) as a case. The annual total assimilative capacity in the lake was 1536t for nitrogen and 157t for phosphorus. Assimilative capacity during plant-growing season accounted for over 90% of the annual total capacity. The results determined by the new model were less than half of that from previous model, demonstrating the significance of considering ecological effects of hydrological changes. The new assessment model offers a useful tool for directing pollutant emission control and eutrophication prevention in global plant-dominated lakes.

Suggested Citation

  • Xu, Zhihao & Yin, Xinan & Yang, Zhifeng & Cai, Yanpeng & Sun, Tao, 2016. "New model to assessing nutrient assimilative capacity in plant-dominated lakes: Considering ecological effects of hydrological changes," Ecological Modelling, Elsevier, vol. 332(C), pages 94-102.
    • Handle: RePEc:eee:ecomod:v:332:y:2016:i:c:p:94-102
    DOI: 10.1016/j.ecolmodel.2016.03.019
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    References listed on IDEAS

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    1. Juston, John M. & DeBusk, Thomas A. & Grace, Kevin A. & Jackson, Scott D., 2013. "A model of phosphorus cycling to explore the role of biomass turnover in submerged aquatic vegetation wetlands for Everglades restoration," Ecological Modelling, Elsevier, vol. 251(C), pages 135-149.
    2. Li, Yuzhao & Liu, Yong & Zhao, Lei & Hastings, Alan & Guo, Huaicheng, 2015. "Exploring change of internal nutrients cycling in a shallow lake: A dynamic nutrient driven phytoplankton model," Ecological Modelling, Elsevier, vol. 313(C), pages 137-148.
    3. Yin, X.A. & Yang, Z.F., 2013. "A reservoir operating model for directing water supply to humans, wetlands, and cones of depression," Ecological Modelling, Elsevier, vol. 252(C), pages 114-120.
    4. Yang, Wei & Yang, Zhifeng & Qin, Yan, 2011. "An optimization approach for sustainable release of e-flows for lake restoration and preservation: Model development and a case study of Baiyangdian Lake, China," Ecological Modelling, Elsevier, vol. 222(14), pages 2448-2455.
    5. Mandal, Sudipto & Roy Goswami, Abhishek & Mukhopadhyay, Subhra Kumar & Ray, Santanu, 2015. "Simulation model of phosphorus dynamics of an eutrophic impoundment – East Calcutta Wetlands, a Ramsar site in India," Ecological Modelling, Elsevier, vol. 306(C), pages 226-239.
    6. Kim, Dong-Kyun & Zhang, Weitao & Rao, Yerubandi R. & Watson, Sue & Mugalingam, Shan & Labencki, Tanya & Dittrich, Maria & Morley, Andrew & Arhonditsis, George B., 2013. "Improving the representation of internal nutrient recycling with phosphorus mass balance models: A case study in the Bay of Quinte, Ontario, Canada," Ecological Modelling, Elsevier, vol. 256(C), pages 53-68.
    7. Sharifi, Amirreza & Kalin, Latif & Hantush, Mohamed M. & Isik, Sabahattin & Jordan, Thomas E., 2013. "Carbon dynamics and export from flooded wetlands: A modeling approach," Ecological Modelling, Elsevier, vol. 263(C), pages 196-210.
    8. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    9. Yi, Xuan & Zou, Rui & Guo, Huaicheng, 2016. "Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake," Ecological Modelling, Elsevier, vol. 327(C), pages 74-84.
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