IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v22y2020i5d10.1007_s10668-019-00382-9.html
   My bibliography  Save this article

Estimation of phosphorus flux into the sea through one reversing river using continuous turbidities and water quality modeling

Author

Listed:
  • Hong Yao

    (Nantong University
    University of California)

  • Tianhua Ni

    (Nanjing University)

  • Tongzhu Zhang

    (Nantong University)

Abstract

Based on continuous turbidity values (T) and water quality modeling, one methodology was proposed to estimate phosphorus (P) flux into the sea through the river. There are three steps in the procedure: (1) analyzing the relationship of P and total suspended solid (TSS), TSS and T; (2) estimating P concentrations with high temporal and spatial density along the river; and (3) calculating the amount of phosphorus flux into the sea. From September 2014 to December 2016, 224 data sets were collected at eight sites along the Tonglv River which feeds into the Yellow Sea, China. The linear regression of TSS and T provided a fit with R2 = 0.944, and TP and TSS presented linear relationship with R2 = 0.884. It was estimated that about 30,227 kg total phosphorus (TP) flows from the river into the sea from September 2014 to August 2015. It is practicable and credible to use T values and water quality modeling to estimate the process of phosphorus flux. Besides, the procedure proposed could be also applied in analyzing the influence on TP fluxes brought by pollution loading changes. Thus, to facilitate long-term pollutants’ fluxes estimation, combining the regression models with water quality modeling might be an effective technique.

Suggested Citation

  • Hong Yao & Tianhua Ni & Tongzhu Zhang, 2020. "Estimation of phosphorus flux into the sea through one reversing river using continuous turbidities and water quality modeling," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(5), pages 4251-4265, June.
    • Handle: RePEc:spr:endesu:v:22:y:2020:i:5:d:10.1007_s10668-019-00382-9
    DOI: 10.1007/s10668-019-00382-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-019-00382-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-019-00382-9?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. Sanchez, P.B. & Oliver, D.P. & Castillo, H.C. & Kookana, R.S., 2012. "Nutrient and sediment concentrations in the Pagsanjan–Lumban catchment of Laguna de Bay, Philippines," Agricultural Water Management, Elsevier, vol. 106(C), pages 17-26.
    2. Hong Yao & Wei Zhuang & Yu Qian & Bisheng Xia & Yang Yang & Xin Qian, 2016. "Estimating and Predicting Metal Concentration Using Online Turbidity Values and Water Quality Models in Two Rivers of the Taihu Basin, Eastern China," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    3. Hong Yao & Xin Qian & Hong Yin & Hailong Gao & Yulei Wang, 2015. "Regional Risk Assessment for Point Source Pollution Based on a Water Quality Model of the Taipu River, China," Risk Analysis, John Wiley & Sons, vol. 35(2), pages 265-277, February.
    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. Saif Said & Shadab Ali Khan, 2021. "Remote sensing-based water quality index estimation using data-driven approaches: a case study of the Kali River in Uttar Pradesh, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18252-18277, December.

    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. Dayong Li & Zengchuan Dong & Liyao Shi & Jintao Liu & Zhenye Zhu & Wei Xu, 2019. "Risk Probability Assessment of Sudden Water Pollution in the Plain River Network Based on Random Discharge from Multiple Risk Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(12), pages 4051-4065, September.
    2. Hong Yao & Zhen You & Bo Liu, 2016. "Economic Estimation of the Losses Caused by Surface Water Pollution Accidents in China From the Perspective of Water Bodies’ Functions," IJERPH, MDPI, vol. 13(2), pages 1-13, January.
    3. 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).
    4. Yuting Bai & Xuebo Jin & Xiaoyi Wang & Tingli Su & Jianlei Kong & Yutian Lu, 2019. "Compound Autoregressive Network for Prediction of Multivariate Time Series," Complexity, Hindawi, vol. 2019, pages 1-11, September.
    5. Huan Liu & Guangyuan Niu & Qingxiang Zhang & Yuxi Yang & Hong Yao, 2022. "Town-Level Aquatic Environmental Sensitivity Assessment Based on an Improved Ecological Footprint Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 763-777, January.
    6. Hong Yao & Weixin Li & Xin Qian, 2015. "Identification of Major Risk Sources for Surface Water Pollution by Risk Indexes (RI) in the Multi-Provincial Boundary Region of the Taihu Basin, China," IJERPH, MDPI, vol. 12(8), pages 1-21, August.
    7. Liangdong Lu & Hong Huang & Jiuchang Wei & Jia Xu, 2020. "Safety Regulations and the Uncertainty of Work‐Related Road Accident Loss: The Triple Identity of Chinese Local Governments Under Principal–Agent Framework," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1168-1182, June.
    8. Hong Yao & Wei Zhuang & Yu Qian & Bisheng Xia & Yang Yang & Xin Qian, 2016. "Estimating and Predicting Metal Concentration Using Online Turbidity Values and Water Quality Models in Two Rivers of the Taihu Basin, Eastern China," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    9. Mengjie Yang & Kai Yang & Yue Che & Shiqiang Lu & Fengyun Sun & Ying Chen & Mengting Li, 2021. "Resolving Transboundary Water Conflicts: Dynamic Evolutionary Analysis Using an Improved GMCR Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3321-3338, August.
    10. Valentina Ferretti & Gilberto Montibeller, 2019. "An Integrated Framework for Environmental Multi‐Impact Spatial Risk Analysis," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 257-273, January.

    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:spr:endesu:v:22:y:2020:i:5:d:10.1007_s10668-019-00382-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.