Groundwater Quality Evaluation and Analysis Technology Based on AHP-EWM-GRA and Its Application

Li, Menghua; Li, Bo; Chu, Jingyan; Wu, Huayue; Yang, Zhicheng; Fan, Jun; Yang, Liu; Liu, Pu; Long, Jie

doi:10.1007/s11270-022-06022-9

Cited by 11 publications

(7 citation statements)

References 38 publications

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“…Assume that the objective weight determined by FA is W is and the subjective weight determined by AHP is W js . In order to align the degree of difference between the two weights with the degree of difference between their corresponding assignment coefficients, this study introduces EDF to determine the assignment coefficients for the subject‐objective weights and calculates the comprehensive weight W (Li et al, 2022). The main equations are as follows:

({, \begin{array}{l} a goodbreak+ b goodbreak= 1 \\ {[\frac{1}{2} \sum_{s = 1}^{n} {()(, W_{is} goodbreak- W_{js})}^{2}]}^{\frac{1}{2}} goodbreak= a goodbreak- b \end{array})

W goodbreak= a W_{is} goodbreak+ b W_{js}

where a is the assignment coefficient for W is and b is the assignment coefficient for W js .…”

Section: Methodsmentioning

confidence: 99%

“…The quality of mine water obtained by PCA-FCE is higher than that of the water quality evaluation model in this study, while the evaluation results obtained by EWQI and CPI show that the mine water in the study area is all class V water. To verify the reliability of the evaluation results of the four methods on the water quality of the study area, they were examined through the level difference method (which means that the water quality classes obtained between different water quality evaluation models were subtracted from each other) (Li et al, 2022). The details are shown in Table 11.…”

Section: Discuss Comparative Analysis Of Water Quality Evaluation Res...mentioning

confidence: 99%

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Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Han,

Li,

Yang

et al. 2024

Water Environment Research

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The process of mining activities often causes the formation of acid mine drainage (AMD). Through rock fractures and underground rivers, AMD can easily enter the groundwater environment near mines and cause serious pollution to water quality. In order to effectively evaluate the quality of polluted mine water and to understand its threat to the ecosystem around the mine. In this study, four AMD pollution distribution areas, Guiyang City, Bijie City, Qianxinan Prefecture, and Qiandongnan Prefecture in Guizhou Province, were used as the study area. A composite model for mine water quality evaluation was constructed using factor analysis (FA), analytic hierarchy process (AHP), and fuzzy comprehensive evaluation (FCE). Furthermore, by introducing the weighted average method and the level characteristic value (J), the water quality type and the water body environmental quality were evaluated comprehensively, respectively. Compared with the traditional evaluation model, the AHP‐FA‐FCE model has obvious advantages in the selection of evaluation indicators, the determination of indicator weights, and the comprehensive evaluation of water quality types, and the evaluation results obtained are more reasonable and accurate. Three common factors mainly controlled by mineral oxidation factor, human activity factor, and mineral dissolution factor were extracted by dimension reduction of the original hydrochemical data by FA. The water quality of the mine water samples was evaluated using SO42−, Fe, Al, Mn, Na, and F− as evaluation indicators, and the results showed that the mine water samples in the study area as a whole were dominated by class V water, which accounted for 77.78% of the total. Based on the statistical analysis of the original data, it was found that influenced by the water–rock interactions in the study area and the AMD pollution components, the hydrochemical type of the mine water is mainly SO42−‐Ca‐Mg type. The water body environmental quality of mine water in four areas, Guiyang City, Qianxinan Prefecture, Bijie City, and Qiandongnan Prefecture, is from excellent to poor. The average level characteristic value of all the areas is more than 3, and the overall environmental quality of the water body is poor. The strong water–rock interaction and mining activities in the study area may be the main cause of AMD pollution. The results of this study may provide some theoretical reference for the water quality evaluation of AMD‐polluted areas.Practitioner Points A composite model for mine water quality evaluation was constructed. A factor analysis‐based evaluation indicator selection method is proposed. This study improved the weighting process of the traditional fuzzy comprehensive evaluation. A water quality discriminant based on the weighted average method is proposed. The water environmental quality of various types of mine water was evaluated.

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({, \begin{array}{l} a goodbreak+ b goodbreak= 1 \\ {[\frac{1}{2} \sum_{s = 1}^{n} {()(, W_{is} goodbreak- W_{js})}^{2}]}^{\frac{1}{2}} goodbreak= a goodbreak- b \end{array})

W goodbreak= a W_{is} goodbreak+ b W_{js}

where a is the assignment coefficient for W is and b is the assignment coefficient for W js .…”

Section: Methodsmentioning

confidence: 99%

Section: Discuss Comparative Analysis Of Water Quality Evaluation Res...mentioning

confidence: 99%

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Han,

Li,

Yang

et al. 2024

Water Environment Research

Self Cite

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“…Nyimbili integrated AHP with TOPSIS and GIS techniques in 7 for analyzing earthquake hazards. In 8 , weights of groundwater indicators, which are used for groundwater quality evaluation, were determined using AHP.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy analytic hierarchy process based generation management for interconnected power system

Varshney,

Waghmare,

Singh

et al. 2024

Sci Rep

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Decision makers consistently face the challenge of simultaneously assessing numerous attributes, determining their respective importance, and selecting an appropriate method for calculating their weights. This article addresses the problem of automatic generation control (AGC) in a two area power system (2-APS) by proposing fuzzy analytic hierarchy process (FAHP), an multi-attribute decision-making (MADM) technique, to determine weights for sub-objective functions. The integral-time-absolute-errors (ITAE) of tie-line power fluctuation, frequency deviations and area control errors, are defined as the sub-objectives. Each of these is given a weight by the FAHP method, which then combines them into an single final objective function. This objective function is then used to design a PID controller. To improve the optimization of the objective function, the Jaya optimization algorithm (JOA) is used in conjunction with other optimization techniques such as sine cosine algorithm (SCA), Luus–Jaakola algorithm (LJA), Nelder–Mead simplex algorithm (NMSA), symbiotic organism search algorithm (SOSA) and elephant herding optimization algorithm (EHOA). Six distinct experimental cases are conducted to evaluate the controller’s performance under various load conditions, with data plotted to show responses corresponding to fluctuations in frequency and tie-line exchange. Furthermore, statistical analysis is performed to gain a better understanding of the effectiveness of the JOA-based PID controller. For non-parametric evaluation, Friedman rank test is also used to validate the performance of the proposed JOA-based controller.

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“…In this context, the assessment of water quality, whether through the Water Quality Index (WQI) in groundwater [6][7][8] or surface water [9,10], using neural networks and machine learning [11,12], or through mathematic models employing computer software are widely used to simulate hydrodynamics, dispersion, and kinetics of pollutants in the natural environment [13]. They allow for the simulation of water usage situations, defining the ability of assimilation through the limits of disposal of finding sources or for the extractions of certain outflows, in a manner that implies calculated risk about the deterioration of water quality according to legal standards [14].…”

Section: Introductionmentioning

confidence: 99%

Water Quality Simulation in the Bois River, Goiás, Central Brazil

2023

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The Cerrado is a hotspot for biodiversity conservation and holds the headwater springs that are major Brazilian river basins. The development of industry, agriculture, and mining causes water quality deterioration. Mathematical models appear as a management tool to simulate water quality parameters and the dispersion of pollutants in water bodies. Thus, this study aimed to evaluate the behavior of dissolved oxygen (DO) and other parameters through the QUAL2Kw (Stream Water Quality Model) model in a river in the Brazilian Cerrado. Complementary data were obtained in four experimental measurement campaigns. The calibration results showed a good fit, especially for the DO. The most critical situation occurred in October, where DO remained below 5 mg/L for a long stretch, and the ammoniacal nitrogen (NH4) and biochemical oxygen demand (BOD) presented non-compliance concerning the legal Brazilian requirements. In all campaigns, BOD remained above 5 mg/L for at least 5 km in length, disagreeing with the legislation for exceeding the distance from the mixing zone. The uncertainty analysis for the DO confirmed the critical scenario of October, and the sensitivity analysis by the Monte Carlo Simulation showed the significance of the reaeration coefficient for DO. Thus, it is concluded that the QUAL2Kw model proved dependable for the simulation of point launches in the Bois River, supplying a good fit in the calibration act. Because BOD does not meet the legal requirements in all samplings, the water use of the downstream population may be impaired by the activities found in the basin. Activities such as sand extraction, tanneries, and other food industries increase the organic burden of waterbodies and, therefore, require greater environmental inspections.

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Groundwater Quality Evaluation and Analysis Technology Based on AHP-EWM-GRA and Its Application

Cited by 11 publications

References 38 publications

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Construction and application of a composite model for acid mine drainage quality evaluation based on analytic hierarchy process, factor analysis and fuzzy comprehensive evaluation: Guizhou Province, China, as a case

Fuzzy analytic hierarchy process based generation management for interconnected power system

Water Quality Simulation in the Bois River, Goiás, Central Brazil

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