IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i2p2230-2248d45944.html
   My bibliography  Save this article

Dynamic Assessment of Water Quality Based on a Variable Fuzzy Pattern Recognition Model

Author

Listed:
  • Shiguo Xu

    (Faculty of Infrastructure Engineering, School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China)

  • Tianxiang Wang

    (Faculty of Infrastructure Engineering, School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China)

  • Suduan Hu

    (Faculty of Infrastructure Engineering, School of Civil and Hydraulic Engineering, Dalian University of Technology, Dalian 116024, China)

Abstract

Water quality assessment is an important foundation of water resource protection and is affected by many indicators. The dynamic and fuzzy changes of water quality lead to problems for proper assessment. This paper explores a method which is in accordance with the water quality changes. The proposed method is based on the variable fuzzy pattern recognition (VFPR) model and combines the analytic hierarchy process (AHP) model with the entropy weight (EW) method. The proposed method was applied to dynamically assess the water quality of Biliuhe Reservoir (Dailan, China). The results show that the water quality level is between levels 2 and 3 and worse in August or September, caused by the increasing water temperature and rainfall. Weights and methods are compared and random errors of the values of indicators are analyzed. It is concluded that the proposed method has advantages of dynamism, fuzzification and stability by considering the interval influence of multiple indicators and using the average level characteristic values of four models as results.

Suggested Citation

  • Shiguo Xu & Tianxiang Wang & Suduan Hu, 2015. "Dynamic Assessment of Water Quality Based on a Variable Fuzzy Pattern Recognition Model," IJERPH, MDPI, vol. 12(2), pages 1-19, February.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:2:p:2230-2248:d:45944
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/2/2230/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/12/2/2230/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wen-chuan Wang & Dong-mei Xu & Kwok-wing Chau & Guan-jun Lei, 2014. "Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4183-4200, September.
    2. Fereshteh Modaresi & Shahab Araghinejad, 2014. "A Comparative Assessment of Support Vector Machines, Probabilistic Neural Networks, and K-Nearest Neighbor Algorithms for Water Quality Classification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4095-4111, September.
    3. Yan An & Zhihong Zou & Ranran Li, 2014. "Water Quality Assessment in the Harbin Reach of the Songhuajiang River (China) Based on a Fuzzy Rough Set and an Attribute Recognition Theoretical Model," IJERPH, MDPI, vol. 11(4), pages 1-14, March.
    4. Yuankun Wang & Dong Sheng & Dong Wang & Huiqun Ma & Jichun Wu & Feng Xu, 2014. "Variable Fuzzy Set Theory to Assess Water Quality of the Meiliang Bay in Taihu Lake Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 867-880, 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. Wu, Zheng & Tian, Guiliang & Xia, Qing & Hu, Hao & Li, Jiawen, 2023. "Connotation, calculation and influencing factors of the water-use rights benchmark price: A case study of agricultural water use in the Ningxia Yellow River irrigation area," Agricultural Water Management, Elsevier, vol. 283(C).
    2. Yucheng Liu & Chuansheng Wang & Yutong Chun & Luxin Yang & Wei Chen & Jack Ding, 2019. "A Novel Method in Surface Water Quality Assessment Based on Improved Variable Fuzzy Set Pair Analysis," IJERPH, MDPI, vol. 16(22), pages 1-24, November.
    3. Zeyu Wang & Juqin Shen & Fuhua Sun & Zhaofang Zhang & Dandan Zhang & Yizhen Jia & Kaize Zhang, 2019. "A Pricing Model for Groundwater Rights in Ningxia, China Based on the Fuzzy Mathematical Model," IJERPH, MDPI, vol. 16(12), pages 1-20, June.
    4. Suduan Hu & Tianxiang Wang & Shiguo Xu & Lingxiao Ma & and Xinguo Sun, 2019. "Seasonal Release Potential of Sediments in Reservoirs and its Impact on Water Quality Assessment," IJERPH, MDPI, vol. 16(18), pages 1-17, September.

    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. Yucheng Liu & Chuansheng Wang & Yutong Chun & Luxin Yang & Wei Chen & Jack Ding, 2019. "A Novel Method in Surface Water Quality Assessment Based on Improved Variable Fuzzy Set Pair Analysis," IJERPH, MDPI, vol. 16(22), pages 1-24, November.
    2. Vincent Paul Obade & Rattan Lal & Richard Moore, 2014. "Assessing the Accuracy of Soil and Water Quality Characterization Using Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5091-5109, November.
    3. Kunyang Li & Song Cui & Fuxiang Zhang & Rupert Hough & Qiang Fu & Zulin Zhang & Shang Gao & Lihui An, 2020. "Concentrations, Possible Sources and Health Risk of Heavy Metals in Multi-Media Environment of the Songhua River, China," IJERPH, MDPI, vol. 17(5), pages 1-16, March.
    4. Peng Zhang & Xiangsu Chen & Chaohai Fan, 2020. "Research on a Safety Assessment Method for Leakage in a Heavy Oil Gathering Pipeline," Energies, MDPI, vol. 13(6), pages 1-19, March.
    5. Weili Duan & Bin He & Daniel Nover & Guishan Yang & Wen Chen & Huifang Meng & Shan Zou & Chuanming Liu, 2016. "Water Quality Assessment and Pollution Source Identification of the Eastern Poyang Lake Basin Using Multivariate Statistical Methods," Sustainability, MDPI, vol. 8(2), pages 1-15, January.
    6. Salman Sharifazari & Shahab Araghinejad, 2015. "Development of a Nonparametric Model for Multivariate Hydrological Monthly Series Simulation Considering Climate Change Impacts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5309-5322, November.
    7. Wen-chuan Wang & Kwok-wing Chau & Dong-mei Xu & Lin Qiu & Can-can Liu, 2017. "The Annual Maximum Flood Peak Discharge Forecasting Using Hermite Projection Pursuit Regression with SSO and LS Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 461-477, January.
    8. Yan Feng & Qian Bao & Liu Chenglin & Wei Bowen & You Zhang, 2018. "Introducing Biological Indicators into CCME WQI Using Variable Fuzzy Set Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(8), pages 2901-2915, June.
    9. Iván P. Vizcaíno & Enrique V. Carrera & Sergio Muñoz-Romero & Luis H. Cumbal & José Luis Rojo-Álvarez, 2018. "Spatio-Temporal River Contamination Measurements with Electrochemical Probes and Mobile Sensor Networks," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    10. Fereshteh Modaresi & Shahab Araghinejad & Kumars Ebrahimi, 2018. "A Comparative Assessment of Artificial Neural Network, Generalized Regression Neural Network, Least-Square Support Vector Regression, and K-Nearest Neighbor Regression for Monthly Streamflow Forecasti," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 243-258, January.
    11. Dagnachew Adugna & Marina Bergen Jensen & Brook Lemma & Geremew Sahilu Gebrie, 2018. "Assessing the Potential for Rooftop Rainwater Harvesting from Large Public Institutions," IJERPH, MDPI, vol. 15(2), pages 1-11, February.
    12. Onur Genç & Ali Dağ, 2016. "A machine learning-based approach to predict the velocity profiles in small streams," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(1), pages 43-61, January.
    13. Mingxiang Yang & Hao Wang & Yunzhong Jiang & Xing Lu & Zhao Xu & Guangdong Sun, 2020. "GECA Proposed Ensemble–KNN Method for Improved Monthly Runoff Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 849-863, January.
    14. Meichen Wang & Herong Gui & Rongjie Hu & Honghai Zhao & Jun Li & Hao Yu & Hongxia Fang, 2019. "Hydrogeochemical Characteristics and Water Quality Evaluation of Carboniferous Taiyuan Formation Limestone Water in Sulin Mining Area in Northern Anhui, China," IJERPH, MDPI, vol. 16(14), pages 1-14, July.
    15. Xiaofang Han & Hong Shen & Hongqing Hu & Jerry Gao, 2022. "Open Innovation Web-Based Platform for Evaluation of Water Quality Based on Big Data Analysis," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    16. Linxian Huang & Lichun Wang & Jingli Shao & Xingwei Liu & Qichen Hao & Liting Xing & Lizhi Zheng & Yong Xiao, 2018. "Parallel Processing Transport Model MT3DMS by Using OpenMP," IJERPH, MDPI, vol. 15(6), pages 1-16, May.
    17. Huiyong Yin & Fangying Dong & Yiwen Zhang & Wenju Cheng & Peihe Zhai & Xuyan Ren & Ziang Liu & Yutao Zhai & Xin Li, 2022. "Height Prediction and 3D Visualization of Mining-Induced Water-Conducting Fracture Zone in Western Ordos Basin Based on a Multi-Factor Regression Analysis," Energies, MDPI, vol. 15(11), pages 1-16, May.
    18. Yudan Dou & Xiaolong Xue & Zebin Zhao & Xiaowei Luo & Ankang Ji & Ting Luo, 2018. "Multi-Index Evaluation for Flood Disaster from Sustainable Perspective: A Case Study of Xinjiang in China," IJERPH, MDPI, vol. 15(9), pages 1-20, September.
    19. Yan Feng & Yi Fanghui & Chen Li, 2019. "Improved Entropy Weighting Model in Water Quality Evaluation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2049-2056, April.
    20. Yingru Li & Huixuan Li & Zhongwei Liu & Changhong Miao, 2016. "Spatial Assessment of Cancer Incidences and the Risks of Industrial Wastewater Emission in China," Sustainability, MDPI, vol. 8(5), pages 1-19, May.

    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:12:y:2015:i:2:p:2230-2248:d:45944. 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.