IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v213y2008i1p1-15.html
   My bibliography  Save this article

AQUATOX: Modeling environmental fate and ecological effects in aquatic ecosystems

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380008000057
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2008.01.015?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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.
    3. 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.
    4. 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.
    5. 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).
    6. 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.
    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. 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.
    9. 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.
    10. 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.
    11. 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).
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruibin Zhang & Xin Qian & Xingcheng Yuan & Rui Ye & Bisheng Xia & Yulei Wang, 2012. "Simulation of Water Environmental Capacity and Pollution Load Reduction Using QUAL2K for Water Environmental Management," IJERPH, MDPI, vol. 9(12), pages 1-18, December.
    2. Wagenschein, Dierk & Rode, Michael, 2008. "Modelling the impact of river morphology on nitrogen retention—A case study of the Weisse Elster River (Germany)," Ecological Modelling, Elsevier, vol. 211(1), pages 224-232.
    3. Haas, Marcelo B. & Guse, Björn & Pfannerstill, Matthias & Fohrer, Nicola, 2015. "Detection of dominant nitrate processes in ecohydrological modeling with temporal parameter sensitivity analysis," Ecological Modelling, Elsevier, vol. 314(C), pages 62-72.
    4. Scharfe, Mirco & Callies, Ulrich & Blöcker, Gerd & Petersen, Wilhelm & Schroeder, Friedhelm, 2009. "A simple Lagrangian model to simulate temporal variability of algae in the Elbe River," Ecological Modelling, Elsevier, vol. 220(18), pages 2173-2186.
    5. Simon Deslauriers & Tew-Fik Mahdi, 2018. "Flood modelling improvement using automatic calibration of two dimensional river software SRH-2D," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 697-715, March.
    6. Li Li & Eun-Sung Chung & Kyung Soo Jun, 2018. "Robust Parameter Set Selection for a Hydrodynamic Model Based on Multi-Site Calibration Using Multi-Objective Optimization and Minimax Regret Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(12), pages 3979-3995, September.
    7. H. Boyacioglu & T. Vetter & V. Krysanova & M. Rode, 2012. "Modeling the impacts of climate change on nitrogen retention in a 4th order stream," Climatic Change, Springer, vol. 113(3), pages 981-999, August.
    8. Yunxing Yin & Sanyuan Jiang & Charlotta Pers & Xiaoying Yang & Qun Liu & Jin Yuan & Mingxing Yao & Yi He & Xingzhang Luo & Zheng Zheng, 2016. "Assessment of the Spatial and Temporal Variations of Water Quality for Agricultural Lands with Crop Rotation in China by Using a HYPE Model," IJERPH, MDPI, vol. 13(3), pages 1-19, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:213:y:2008:i:1:p:1-15. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.