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Evaluation of seawater intrusion and water quality prediction in Dagu River of North China based on fuzzy analytic hierarchy process exponential smoothing method

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Abstract

It is of great significance to evaluate the seawater intrusion degree and predict the change of water quality for coastal groundwater resources. This study takes Dagu River in Jiaodong Peninsula of North China as the target area and combines the relevant theoretical research results to build a seawater intrusion fuzzy analytic hierarchy process (AHP) evaluation model. Five sensitive indicators of water quality, such as Cl−, SO42−, NO3−, TH, and TDS, were selected to evaluate the seawater intrusion level of the long series monitoring data in Xilaiwan, Guanzhuang, and Ligezhuang of Dagu River Basin by using the basic fuzzy mathematics principles and the improved hierarchical analysis method. In this study, the cubic exponential smoothing method was applied to predict groundwater quality change in Dagu River Basin. In order to evaluate the change of seawater intrusion in detail and make timely prediction, this paper innovatively divided the classification standard of seawater intrusion degree based on relevant norms and scholars’ research and predicted the evaluation level of seawater intrusion by using long series historical observation data combined with fuzzy analytic hierarchy process. The cubic exponential smoothing method which has the characteristics of simple and fast was introduced to fit the observation elements, and the historical data were used to verify the prediction of the future development trend. Compared with the evaluation results of seawater intrusion by traditional methods, this study can reflect the whole development trend of seawater intrusion in detail and has the characteristics of more reasonable, accurate, and practical. It also provides a certain reference for the future seawater intrusion prevention. In addition to this case, the method proposed in this study will be applicable to a wider range of coastal zones, providing a new idea for the rational management and control of coastal groundwater resources.

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Authors and Affiliations

  1. Institute of Marine Science and Technology, Shandong University, Binhai Road No.72, Qingdao, 266237, Shandong, China

    Haitao Yang, Chao Jia, Xin Li, Fan Yang, Cong Wang & Xiao Yang

  2. Institute of Marine Geology and Engineering, Qingdao, 266237, Shandong, China

    Haitao Yang, Chao Jia, Xin Li, Fan Yang, Cong Wang & Xiao Yang

  3. Key Laboratory of Geological Safety of Coastal Urban Underground Space, MNR, Qingdao, 266100, China

    Chao Jia

Authors
  1. Haitao Yang
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  2. Chao Jia
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  3. Xin Li
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  4. Fan Yang
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  5. Cong Wang
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  6. Xiao Yang
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Contributions

All of the parts of this research were conducted by Professor Jia; Haitao Yang conducted the research. Haitao Yang and Xin li performed statistical analysis; Haitao Yang wrote the paper; Fan Yang, Cong Wang, and Xiao Yang revised this paper. All authors have read and approved the final manuscript.

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Correspondence to Chao Jia.

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The funder did not play any role in study design; in the collection, analysis, and interpretation of data; in the writing of the report; nor in the preparation, review, or approval of the manuscript.

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Responsible Editor: Xianliang Yi

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Yang, H., Jia, C., Li, X. et al. Evaluation of seawater intrusion and water quality prediction in Dagu River of North China based on fuzzy analytic hierarchy process exponential smoothing method. Environ Sci Pollut Res 29, 66160–66176 (2022). https://doi.org/10.1007/s11356-022-19871-y

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  • DOI: https://doi.org/10.1007/s11356-022-19871-y

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