IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i3p521-d136339.html
   My bibliography  Save this article

The Spatial Distributions and Variations of Water Environmental Risk in Yinma River Basin, China

Author

Listed:
  • Hui Di

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Xingpeng Liu

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Jiquan Zhang

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Zhijun Tong

    (School of Environment, Northeast Normal University, Changchun 130024, China)

  • Meichen Ji

    (School of Environment, Northeast Normal University, Changchun 130024, China)

Abstract

Water environmental risk is the probability of the occurrence of events caused by human activities or the interaction of human activities and natural processes that will damage a water environment. This study proposed a water environmental risk index (WERI) model to assess the water environmental risk in the Yinma River Basin based on hazards, exposure, vulnerability, and regional management ability indicators in a water environment. The data for each indicator were gathered from 2000, 2005, 2010, and 2015 to assess the spatial and temporal variations in water environmental risk using particle swarm optimization and the analytic hierarchy process (PSO-AHP) method. The results showed that the water environmental risk in the Yinma River Basin decreased from 2000 to 2015. The risk level of the water environment was high in Changchun, while the risk levels in Yitong and Yongji were low. The research methods provide information to support future decision making by the risk managers in the Yinma River Basin, which is in a high-risk water environment. Moreover, water environment managers could reduce the risks by adjusting the indicators that affect water environmental risks.

Suggested Citation

  • Hui Di & Xingpeng Liu & Jiquan Zhang & Zhijun Tong & Meichen Ji, 2018. "The Spatial Distributions and Variations of Water Environmental Risk in Yinma River Basin, China," IJERPH, MDPI, vol. 15(3), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:521-:d:136339
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/3/521/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/3/521/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. Yongfei Fu & Yuyu Liu & Shiguo Xu & Zhenghe Xu, 2022. "Assessment of a Multifunctional River Using Fuzzy Comprehensive Evaluation Model in Xiaoqing River, Eastern China," IJERPH, MDPI, vol. 19(19), pages 1-18, September.
    2. Cheng Zhan & Mingjing Guo & Jinhua Cheng & Hongxia Peng, 2022. "Evaluation of Resources and Environment Carrying Capacity Based on Support Pressure Coupling Mechanism: A Case Study of the Yangtze River Economic Belt," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
    3. Ning Zhang & Zichen Wang & Lan Zhang & Xiao Yang, 2021. "Assessment of Water Resources Carrying Risk and the Coping Behaviors of the Government and the Public," IJERPH, MDPI, vol. 18(14), pages 1-20, July.

    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. 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.
    2. 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.
    3. Li Li & Xiaoping Zhou & Lan Yang & Jinglong Duan & Zhuo Zeng, 2022. "Spatio-Temporal Characteristics and Influencing Factors of Ecological Risk in China’s North–South Transition Zone," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    4. Yang, Jin & Chen, Bin, 2016. "Energy–water nexus of wind power generation systems," Applied Energy, Elsevier, vol. 169(C), pages 1-13.
    5. 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.
    6. Andrzej Bialas, 2022. "Towards a Software Tool Supporting Decisions in Planning Heap Revitalization Processes," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    7. Razieh Doregar Zavareh & Tooraj Dana & Emad Roayaei & Seyed Massoud Monavari & Seyed Ali Jozi, 2022. "The Environmental Risk Assessment of Fire and Explosion in Storage Tanks of Petroleum Products," Sustainability, MDPI, vol. 14(17), pages 1-17, August.
    8. Andrzej Białas & Artur Kozłowski, 2024. "Computer-Aided Planning for Land Development of Post-Mining Degraded Areas," Sustainability, MDPI, vol. 16(4), pages 1-30, February.
    9. 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).
    10. Peng Tian & Jialin Li & Hongbo Gong & Ruiliang Pu & Luodan Cao & Shuyao Shao & Zuoqi Shi & Xiuli Feng & Lijia Wang & Riuqing Liu, 2019. "Research on Land Use Changes and Ecological Risk Assessment in Yongjiang River Basin in Zhejiang Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    11. Forbes, Valery E., 2024. "The need for standardization in ecological modeling for decision support: Lessons from ecological risk assessment," Ecological Modelling, Elsevier, vol. 492(C).
    12. Yang, Siyuan & Fath, Brian & Chen, Bin, 2016. "Ecological network analysis of embodied particulate matter 2.5 – A case study of Beijing," Applied Energy, Elsevier, vol. 184(C), pages 882-888.
    13. Hao Liu & Haiguang Hao & Lihui Sun & Tingting Zhou, 2022. "Spatial–Temporal Evolution Characteristics of Landscape Ecological Risk in the Agro-Pastoral Region in Western China: A Case Study of Ningxia Hui Autonomous Region," Land, MDPI, vol. 11(10), pages 1-23, October.
    14. Chen, Shaoqing & Chen, Bin, 2015. "Urban energy consumption: Different insights from energy flow analysis, input–output analysis and ecological network analysis," Applied Energy, Elsevier, vol. 138(C), pages 99-107.
    15. Liu, Wen & Chen, Weiping & Peng, Chi, 2014. "Assessing the effectiveness of green infrastructures on urban flooding reduction: A community scale study," Ecological Modelling, Elsevier, vol. 291(C), pages 6-14.
    16. Leli Zong & Ming Zhang & Zi Chen & Xiaonan Niu & Guoguang Chen & Jie Zhang & Mo Zhou & Hongying Liu, 2023. "Ecological Risk Assessment of Geological Disasters Based on Probability-Loss Framework: A Case Study of Fujian, China," IJERPH, MDPI, vol. 20(5), pages 1-19, March.
    17. Solovjova, N.V., 2019. "Ecological risk modelling in developing resources of ecosystems characterized by varying vulnerability levels," Ecological Modelling, Elsevier, vol. 406(C), pages 60-72.
    18. Zhongfa Zhou & Weiquan Zhao & Sisi Lv & Denghong Huang & Zulun Zhao & Yaopeng Sun, 2023. "Spatiotemporal Transfer of Source-Sink Landscape Ecological Risk in a Karst Lake Watershed Based on Sub-Watersheds," Land, MDPI, vol. 12(7), pages 1-19, July.
    19. Qizhi Wang & Maofang Gao & Huijie Zhang, 2022. "Agroecological Efficiency Evaluation Based on Multi-Source Remote Sensing Data in a Typical County of the Tibetan Plateau," Land, MDPI, vol. 11(4), pages 1-24, April.
    20. Liu, Junguo & Kattel, Giri & Arp, Hans Peter H. & Yang, Hong, 2015. "Towards threshold-based management of freshwater ecosystems in the context of climate change," Ecological Modelling, Elsevier, vol. 318(C), pages 265-274.

    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:gam:jijerp:v:15:y:2018:i:3:p:521-:d:136339. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.