IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v344y2017icp17-28.html
   My bibliography  Save this article

Information-based Network Environ Analysis for Ecological Risk Assessment of heavy metals in soils

Author

Listed:
  • Tang, P.Z.
  • Liu, J.Z.
  • Lu, H.W.
  • Wang, Z.
  • He, L.

Abstract

An information-based Network Environ Analysis (NEA) model coupled with fuzzy sets theory is developed and applied to a Thermal Power Plant (TPP) Ecological Risk Assessment (ERA) problem in this paper. Multiple sets of initial risk values are got by calculating different fuzzy evaluation grades of probability and then the advanced NEA model is applied to integrate the ecological risk of operation for the complex ERA of this soil ecosystem. The evaluation results show that the integral risk to soil microorganism can reach 1.6 times greater than the initial risk, while herbivores and carnivores (no initial risks) have to suffer 1/9 to 1/6 of vegetation's initial risks from external environment, and different probability distributions lead to multiple ERA results. This study quantified the multi-grade risks to entire system components and identified complex internal risk flow paths. The model is applied to multiple receptors with mutual ecosystem interference comparing to the existing one-fold risk evaluation and proved to be more comprehensive for ERA research in soils.

Suggested Citation

  • Tang, P.Z. & Liu, J.Z. & Lu, H.W. & Wang, Z. & He, L., 2017. "Information-based Network Environ Analysis for Ecological Risk Assessment of heavy metals in soils," Ecological Modelling, Elsevier, vol. 344(C), pages 17-28.
  • Handle: RePEc:eee:ecomod:v:344:y:2017:i:c:p:17-28
    DOI: 10.1016/j.ecolmodel.2016.10.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016305567
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2016.10.009?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. Tobor-Kapłon, Maria A. & Holtkamp, Remko & Scharler, Ursula M. & Doroszuk, Agnieszka & Kuenen, Frans J.A. & Bloem, Jaap & de Ruiter, Peter C., 2007. "Evaluation of information indices as indicators of environmental stress in terrestrial soils," Ecological Modelling, Elsevier, vol. 208(1), pages 80-90.
    2. Costa, Hugo & Ponte, Nuno B. & Azevedo, Eduardo B. & Gil, Artur, 2015. "Fuzzy set theory for predicting the potential distribution and cost-effective monitoring of invasive species," Ecological Modelling, Elsevier, vol. 316(C), pages 122-132.
    3. Chen, G.Q. & Zeng, L. & Wu, Z., 2010. "An ecological risk assessment model for a pulsed contaminant emission into a wetland channel flow," Ecological Modelling, Elsevier, vol. 221(24), pages 2927-2937.
    4. Schramski, J.R. & Gattie, D.K. & Patten, B.C. & Borrett, S.R. & Fath, B.D. & Whipple, S.J., 2007. "Indirect effects and distributed control in ecosystems: Distributed control in the environ networks of a seven-compartment model of nitrogen flow in the Neuse River Estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 18-30.
    5. Lee, Chang-Ju & Lee, Kun Jai, 2006. "Application of Bayesian network to the probabilistic risk assessment of nuclear waste disposal," Reliability Engineering and System Safety, Elsevier, vol. 91(5), pages 515-532.
    6. Chatterjee, Kajal & Bandyopadhyay, Abhirup & Ghosh, Amitava & Kar, Samarjit, 2015. "Assessment of environmental factors causing wetland degradation, using Fuzzy Analytic Network Process: A case study on Keoladeo National Park, India," Ecological Modelling, Elsevier, vol. 316(C), pages 1-13.
    7. Schaubroeck, Thomas & Staelens, Jeroen & Verheyen, Kris & Muys, Bart & Dewulf, Jo, 2012. "Improved ecological network analysis for environmental sustainability assessment; a case study on a forest ecosystem," Ecological Modelling, Elsevier, vol. 247(C), pages 144-156.
    8. Bai, Junhong & Cui, Baoshan & Chen, Bin & Zhang, Kejiang & Deng, Wei & Gao, Haifeng & Xiao, Rong, 2011. "Spatial distribution and ecological risk assessment of heavy metals in surface sediments from a typical plateau lake wetland, China," Ecological Modelling, Elsevier, vol. 222(2), pages 301-306.
    9. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2013. "Ecological risk assessment on the system scale: A review of state-of-the-art models and future perspectives," Ecological Modelling, Elsevier, vol. 250(C), pages 25-33.
    10. Whipple, Stuart J. & Borrett, Stuart R. & Patten, Bernard C. & Gattie, David K. & Schramski, John R. & Bata, Seth A., 2007. "Indirect effects and distributed control in ecosystems: Comparative network environ analysis of a seven-compartment model of nitrogen flow in the Neuse River estuary, USA—Time series analysis," Ecological Modelling, Elsevier, vol. 206(1), pages 1-17.
    11. Christian, Robert R. & Brinson, Mark M. & Dame, James K. & Johnson, Galen & Peterson, Charles H. & Baird, Daniel, 2009. "Ecological network analyses and their use for establishing reference domain in functional assessment of an estuary," Ecological Modelling, Elsevier, vol. 220(22), pages 3113-3122.
    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. Lu, Jingzhao & Lu, Hongwei & Wang, Weipeng & Feng, SanSan & Lei, Kaiwen, 2021. "Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis," Ecological Modelling, Elsevier, vol. 455(C).
    2. Hajiahmadi, Delnia & Amanollahi, Jamil, 2018. "Fuzzy risk assessment modelling of wild animal life in Bijar protected area," Ecological Modelling, Elsevier, vol. 387(C), pages 49-60.

    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. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    2. Mao, Xufeng & Yang, Zhifeng, 2011. "Functional assessment of interconnected aquatic ecosystems in the Baiyangdian Basin—An ecological-network-analysis based approach," Ecological Modelling, Elsevier, vol. 222(23), pages 3811-3820.
    3. Yang, Jin & Chen, Bin, 2016. "Energy–water nexus of wind power generation systems," Applied Energy, Elsevier, vol. 169(C), pages 1-13.
    4. Borrett, S.R. & Freeze, M.A. & Salas, A.K., 2011. "Equivalence of the realized input and output oriented indirect effects metrics in Ecological Network Analysis," Ecological Modelling, Elsevier, vol. 222(13), pages 2142-2148.
    5. Yang, Zhifeng & Mao, Xufeng, 2011. "Wetland system network analysis for environmental flow allocations in the Baiyangdian Basin, China," Ecological Modelling, Elsevier, vol. 222(20), pages 3785-3794.
    6. Zhang, Yan & Zheng, Hongmei & Fath, Brian D., 2015. "Ecological network analysis of an industrial symbiosis system: A case study of the Shandong Lubei eco-industrial park," Ecological Modelling, Elsevier, vol. 306(C), pages 174-184.
    7. Whipple, Stuart J. & Patten, Bernard C. & Borrett, Stuart R., 2014. "Indirect effects and distributed control in ecosystems," Ecological Modelling, Elsevier, vol. 293(C), pages 161-186.
    8. Zhang, Yan & Lu, Hanjing & Fath, Brian D. & Zheng, Hongmei, 2016. "Modelling urban nitrogen metabolic processes based on ecological network analysis: A case of study in Beijing, China," Ecological Modelling, Elsevier, vol. 337(C), pages 29-38.
    9. Chen, Shaoqing & Chen, Bin & Fath, Brian D., 2015. "Assessing the cumulative environmental impact of hydropower construction on river systems based on energy network model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 78-92.
    10. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    11. Schramski, J.R. & Patten, B.C. & Kazanci, C. & Gattie, D.K. & Kellam, N.N., 2009. "The Reynolds transport theorem: Application to ecological compartment modeling and case study of ecosystem energetics," Ecological Modelling, Elsevier, vol. 220(22), pages 3225-3232.
    12. Hines, David E. & Borrett, Stuart R., 2014. "A comparison of network, neighborhood, and node levels of analyses in two models of nitrogen cycling in the Cape Fear River Estuary," Ecological Modelling, Elsevier, vol. 293(C), pages 210-220.
    13. Liu, Yating & Chen, Bin, 2020. "Water-energy scarcity nexus risk in the national trade system based on multiregional input-output and network environ analyses," Applied Energy, Elsevier, vol. 268(C).
    14. Borrett, S.R. & Freeze, M.A., 2011. "Reconnecting environs to their environment," Ecological Modelling, Elsevier, vol. 222(14), pages 2393-2403.
    15. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    16. Zhang, Yan & Yang, Zhifeng & Yu, Xiangyi, 2009. "Ecological network and emergy analysis of urban metabolic systems: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 220(11), pages 1431-1442.
    17. Bata, Seth A. & Borrett, Stuart R. & Patten, Bernard C. & Whipple, Stuart J. & Schramski, John R. & Gattie, David K., 2007. "Equivalence of throughflow- and storage-based environs," Ecological Modelling, Elsevier, vol. 206(3), pages 400-406.
    18. Li, Y. & Yang, Z.F., 2011. "Quantifying the sustainability of water use systems: Calculating the balance between network efficiency and resilience," Ecological Modelling, Elsevier, vol. 222(10), pages 1771-1780.
    19. Zhang, Xiaolin & Zhang, Yan & Wang, Yifan & Fath, Brian D., 2021. "Research progress and hotspot analysis for reactive nitrogen flows in macroscopic systems based on a CiteSpace analysis," Ecological Modelling, Elsevier, vol. 443(C).
    20. Lu, Jingzhao & Lu, Hongwei & Wang, Weipeng & Feng, SanSan & Lei, Kaiwen, 2021. "Ecological risk assessment of heavy metal contamination of mining area soil based on land type changes: An information network environ analysis," Ecological Modelling, Elsevier, vol. 455(C).

    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:344:y:2017:i:c:p:17-28. 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.