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eISSN: 2083-5906
ISSN: 1230-1485
ISSN: 1230-1485
ORIGINAL RESEARCH
The Water Quality Assessment of Groundwater
Based on the TOPSIS-GRA Model
1
School of Civil Engineering, Nanyang Institute of Technology, Nanyang, Henan, China
Submission date: 2024-12-19
Final revision date: 2025-02-14
Acceptance date: 2025-03-04
Online publication date: 2025-04-09
Publication date: 2026-04-21
Corresponding author
Pol. J. Environ. Stud. 2026;35(2):2859-2870
KEYWORDS
TOPICS
ABSTRACT
The level of water quality assessment is significant for preventing water pollution; many factors
influence its assessment. At first, the TOPSIS-GRA model is introduced; the comprehensive closeness
degree of different samples is calculated; finally, the quality level of groundwater is determined
based on the comprehensive closeness degree. The conclusions are drawn that results obtained using
the suggested method are consistent with the actual investigation for four samples. The accuracy reaches
100%, which is higher than the results from the traditional Matter-Element Extension Model (80%),
and estimating the quality level of groundwater using the suggested model is feasible. Since this
evaluation method fully utilizes sample data information and combines the advantages of gray
correlation analysis and the TOPSIS evaluation model, the evaluation results are more accurate
and reasonable than those of a single evaluation method. Therefore, it provides a new method and
thoughts to assess the quality level of groundwater in the future.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
REFERENCES (26)
1.
GU X.B., WU Q.H., ZHU Y.H. The experimental investigation on the propagation process of crack for brittle rock similar material. Geotechnical & Geological Engineering. 37 (6), 4731, 2019. https://doi.org/10.1007/s10706....
2.
GU X.B., SHAO J.L., WU S.T., WU Q.H., BAI H. The risk assessment of debris flow hazards in Zhouqu based on the projection pursuit classification model. Geotechnical & Geological Engineering. 40 (3), 1267, 2021. https://doi.org/10.1007/s10706....
3.
SU Y.M., SU X.S. Present Situation and Prospecting of Groundwater Quality Evaluation. Water Resources Protection. 2(1), 4, 2007.
4.
NING Y.M., YIN F.N., LI X.B. Application of Several Evaluation Methods for River Water Quality in the Yangtze River Mainstream. Journal of Southwest University (Natural Science Edition). 42(12), 126, 2020.
5.
YANG H., ZHANG G.Z., YANG X.N. Comprehensive Evaluation on Water Environment Quality of the Tao River Based on Fuzzy Comprehensive Method. Environmental Science & Technology. 39 (S1), 380, 2016.
6.
CHEN J.W., ZHOU X.P. The enhanced extended finite element method for the propagation of complex branched cracks. Engineering Analysis with Boundary Elements. 104 (1), 46, 2019. https://doi.org/10.1016/j.enga....
7.
NING Y.M., YIN F.N. Water Quality Evaluation Based on Improved Nemerow Pollution Index Method and gray Clustering Method. Journal of Central China Normal University (Natural Sciences). 54 (1), 149, 2020.
8.
LI S.Q., WANG X.Y., JI H.Y. Evaluation of Deep Buried Groundwater Based on Genetic Algorithm and BP Neural Network. Water Resources and Power. 37 (1), 49, 2019.
9.
FERNANDES A., CHACES H., LIMA R. Draw on Artificial Neural Networks to Assess and Predict Water Quality. IOP Conference Series: Earth and Environmental Science. 612 (1), 12, 2020. https://doi.org/10.1088/1755-1....
10.
ZHU H.H., LIU Z.Z., JIA C. Application of Entropy Weight-Set Pair Analysis Method in Groundwater Quality Assessment of Dawu. Ground Water. 43 (2), 11, 2021.
11.
GU X.B., MA Y., WU Q.H., JI X.J., BAI H. The risk assessment of landslide hazards in Shiwangmiao based on intuitionistic fuzzy sets‑Topsis model. Natural Hazards. 3 (13), 26, 2021. https://doi.org/10.1007/s11069....
12.
ZHOU X.P., PAN X.K., CHENG H. The nonlinear creep behaviors of sandstone under the different confining pressures based on NMR Technology. Rock Mechanics and Rock Engineering. 54 (9), 4889, 2021. https://doi.org/10.1007/s00603....
13.
ZHOU X.P., ZHANG Y.X., HA Q.L., ZHU K.S. Micromechanical modelling of the complete stress-strain relationship for crack weakened rock subjected to compressive loading. Rock Mechanics and Rock Engineering. 41 (5), 747, 2008. https://doi.org/10.1007/s00603....
14.
CHEN X.T., LI L. Prediction of tunnel rockburst based on AHP-FUZZY method. Journal of China Coal Society. 33 (11), 1230, 2008.
15.
WEN C.P. Application of attribute synthetic evaluation system in prediction of possibility and classification of rock burst. Engineering Mechanics. 35 (6), 153, 2008.
16.
LU F.Y., JIA D.B. Evaluating the Carrying Capacity of Water Resources in the Desert Steppe Irrigation District in Inner Mongolia. Journal of Irrigation and Drainage. 41 (8), 39, 2022.
17.
YAN K., WANG H.G., LIU S.L., MA W. Evaluation of Water Resources Carrying Capacity in Qinzhou City Based on Entropy Weight TOPSIS Model. South China Geology. 38 (2), 292, 2022.
18.
ZHOU X.X., LUO H. Assessment and Risk Identification of Water Resource Carry Capacity in the Pear River Basin. Pearl River. 44 (2), 28, 2023.
19.
LI Q., ZHU X.H. Evaluation of Water Resources Carrying Capacity in Yangtze River Delta Based on PSR-TOPSIS Model. Environmental Science and Management. 48 (1), 171, 2023.
20.
GU X.B., WU Q.H. Seismic stability analysis of waterfront rock slopes using the modified pseudodynamic method. Geotechnical & Geological Engineering. 37 (3), 1743, 2019. https://doi.org/10.1007/s10706....
21.
GONG F.Q., LI X.B., LIN H. Model of distance discriminant analysis for rock burst prediction in tunnel engineering and its application. China Railway Science. 28 (4), 25, 2007.
22.
ZHANG S., DAI L., YUAN X. Fuzzy Comprehensive Prediction Model of Rock burst Disaster in Deep Underground Engineering. Journal of Luoyang Institute of Science and Technology. 32 (3), 17, 2022.
23.
FU C.H., DONG L.J. Bayes discriminant analysis model and its application to the prediction and classification of rock burst. Journal of China University of Mining and Technology. 38 (4), 56, 2009.
24.
ZHOU K.P., GU D.S. Application of GIS based on neural network with FUZZY self-organization to assessment of rock burst tendency. Chinese Journal of Rock Mechanics and Engineering. 23 (18), 3093, 2024.
25.
ZHOU J., LI X., SHI X. Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines. Safety Science. 50 (4), 629, 2012. https://doi.org/10.1016/j.ssci....
26.
WEI X.J., CHEN T.T., WANG X. Progress in research of the rockburst hazard. Modern Tunneling Technology. 57 (2), 1, 2020.
CITATIONS (1):
1.
Comparative assessment of groundwater quality using subjective and objective weighting methods in a multi-criteria decision analysis framework
Soumya S. Singha, Sudhakar Singha
Groundwater for Sustainable Development
Soumya S. Singha, Sudhakar Singha
Groundwater for Sustainable Development
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| eISSN: | 2083-5906 |
| ISSN: | 1230-1485 |
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