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AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems

Author

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  • Park, Richard A.
  • Clough, Jonathan S.
  • Wellman, Marjorie Coombs

Abstract

AQUATOX combines aquatic ecosystem, chemical fate, and ecotoxicological constructs to obtain a truly integrative fate and effects model. It is a general, mechanistic ecological risk assessment model intended to be used to evaluate past, present, and future direct and indirect effects from various stressors including nutrients, organic wastes, sediments, toxic organic chemicals, flow, and temperature in aquatic ecosystems. The model has a very flexible structure and provides multiple analytical tools useful for evaluating ecological effects, including uncertainty analysis, nominal range sensitivity analysis, comparison of perturbed and control simulations, and graphing and tabulation of predicted concentrations, rates, and photosynthetic limitations. It can represent a full aquatic food web, including multiple genera and guilds of periphyton, phytoplankton, submersed aquatic vegetation, invertebrates, and fish and associated organic toxicants. It can model up to 20 organic chemicals simultaneously. (It does not model metals.) Modeled processes for organic toxicants include chemodynamics of neutral and ionized organic chemicals, bioaccumulation as a function of sorption and bioenergetics, biotransformation to daughter products, and sublethal and lethal toxicity. It has an extensive library of default biotic, chemical, and toxicological parameters and incorporates the ICE regression equations for estimating toxicity in numerous organisms. The model has been implemented for streams, small rivers, ponds, lakes, reservoirs, and estuaries. It is an integral part of the BASINS system with linkage to the watershed models HSPF and SWAT.

Suggested Citation

  • Park, Richard A. & Clough, Jonathan S. & Wellman, Marjorie Coombs, 2008. "AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems," Ecological Modelling, Elsevier, vol. 213(1), pages 1-15.
    • Handle: RePEc:eee:ecomod:v:213:y:2008:i:1:p:1-15
    DOI: 10.1016/j.ecolmodel.2008.01.015
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    References listed on IDEAS

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    1. Rode, Michael & Suhr, Ursula & Wriedt, Gunter, 2007. "Multi-objective calibration of a river water quality model—Information content of calibration data," Ecological Modelling, Elsevier, vol. 204(1), pages 129-142.
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    Cited by:

    1. Nagisetty, Raja M. & Flynn, Kyle F. & Uecker, Dylan, 2019. "Dissolved oxygen modeling of effluent-dominated macrophyte-rich Silver Bow Creek," Ecological Modelling, Elsevier, vol. 393(C), pages 85-97.
    2. Flynn, Kyle F. & Chapra, Steven C. & Suplee, Michael W., 2013. "Modeling the lateral variation of bottom-attached algae in rivers," Ecological Modelling, Elsevier, vol. 267(C), pages 11-25.
    3. Grechi, Laura & Franco, Antonio & Palmeri, Luca & Pivato, Alberto & Barausse, Alberto, 2016. "An ecosystem model of the lower Po river for use in ecological risk assessment of xenobiotics," Ecological Modelling, Elsevier, vol. 332(C), pages 42-58.
    4. Tao Zheng & Haihua Cao & Wei Liu & Jingcheng Xu & Yijing Yan & Xiaohu Lin & Juwen Huang, 2019. "Characteristics of Atmospheric Deposition during the Period of Algal Bloom Formation in Urban Water Bodies," Sustainability, MDPI, vol. 11(6), pages 1-15, March.
    5. Niu, Zhiguang & Gou, Qianqian & Wang, Xiujun & Zhang, Ying, 2016. "Simulation of a water ecosystem in a landscape lake in Tianjin with AQUATOX: Sensitivity, calibration, validation and ecosystem prognosis," Ecological Modelling, Elsevier, vol. 335(C), pages 54-63.
    6. Ciric, C. & Ciffroy, P. & Charles, S., 2012. "Use of sensitivity analysis to identify influential and non-influential parameters within an aquatic ecosystem model," Ecological Modelling, Elsevier, vol. 246(C), pages 119-130.
    7. Doyeong Ku & Yeon-Ji Chae & Yerim Choi & Chang Woo Ji & Young-Seuk Park & Ihn-Sil Kwak & Yong-Jae Kim & Kwang-Hyeon Chang & Hye-Ji Oh, 2022. "Optimal Method for Biomass Estimation in a Cladoceran Species, Daphnia Magna (Straus, 1820): Evaluating Length–Weight Regression Equations and Deriving Estimation Equations Using Body Length, Width an," Sustainability, MDPI, vol. 14(15), pages 1-10, July.
    8. Zhang, Lulu & Cui, Jiansheng & Song, Tiance & Liu, Yong, 2018. "Application of an AQUATOX model for direct toxic effects and indirect ecological effects assessment of Polycyclic aromatic hydrocarbons (PAHs) in a plateau eutrophication lake, China," Ecological Modelling, Elsevier, vol. 388(C), pages 31-44.
    9. Zhang, Lulu & Liu, Jingling & Li, Yi & Zhao, Yanwei, 2013. "Applying AQUATOX in determining the ecological risk assessment of polychlorinated biphenyl contamination in Baiyangdian Lake, North China," Ecological Modelling, Elsevier, vol. 265(C), pages 239-249.
    10. Hu, Wen & Li, Chun-hua & Ye, Chun & Wang, Ji & Wei, Wei-wei & Deng, Yong, 2019. "Research progress on ecological models in the field of water eutrophication: CiteSpace analysis based on data from the ISI web of science database," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.
    11. Blancher, Eldon C. & Park, Richard A. & Clough, Jonathan S. & Milroy, Scott P. & Graham, W. Monty & Rakocinski, Chet F. & Hendon, J. Read & Wiggert, Jerry D. & Leaf, Robert, 2017. "Establishing nearshore marine secondary productivity baseline estimates for multiple habitats in coastal Mississippi and Alabama using AQUATOX 3.1 NME for use in the Deepwater Horizon natural resource," Ecological Modelling, Elsevier, vol. 359(C), pages 49-68.
    12. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    13. Osakpolor, Stephen E. & Kattwinkel, Mira & Schirmel, Jens & Feckler, Alexander & Manfrin, Alessandro & Schäfer, Ralf B., 2021. "Mini-review of process-based food web models and their application in aquatic-terrestrial meta-ecosystems," Ecological Modelling, Elsevier, vol. 458(C).
    14. Taner, Mehmet Ümit & Carleton, James N. & Wellman, Marjorie, 2011. "Integrated model projections of climate change impacts on a North American lake," Ecological Modelling, Elsevier, vol. 222(18), pages 3380-3393.
    15. Yan, Jinxia & Liu, Jingling & You, Xiaoguang & Shi, Xuan & Zhang, Lulu, 2018. "Simulating the gross primary production and ecosystem respiration of estuarine ecosystem in North China with AQUATOX," Ecological Modelling, Elsevier, vol. 373(C), pages 1-12.
    16. Gentile, U. & Marrone, S. & Nardone, R. & Bellini, E., 2020. "Computer-aided security assessment of water networks monitoring platforms," International Journal of Critical Infrastructure Protection, Elsevier, vol. 31(C).
    17. Zouiten, Hala & Díaz, César Álvarez & Gómez, Andrés García & Cortezón, José Antonio Revilla & Alba, Javier García, 2013. "An advanced tool for eutrophication modeling in coastal lagoons: Application to the Victoria lagoon in the north of Spain," Ecological Modelling, Elsevier, vol. 265(C), pages 99-113.

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