2021
DOI: 10.3390/ijerph18147703
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Evaluation of Groundwater Using an Integrated Approach of Entropy Weight and Stochastic Simulation: A Case Study in East Region of Beijing

Abstract: Groundwater is an important source of water in Beijing. Hydrochemical composition and water quality are the key factors to determine the availability of groundwater. Therefore, an improved integrated weight water quality index approach (IWQI) combining the entropy weight method and the stochastic simulation method is proposed. Through systematic investigation of groundwater chemical composition in different periods, using a hydrogeochemical diagram, multivariate statistics and spatial interpolation analysis, t… Show more

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Cited by 10 publications
(3 citation statements)
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“…The average precipitation in Shanghai is calculated from the average value of the 35 meteorological observation stations. The station's data were interpolated using Kriging interpolation (Zhang et al, 2021; Luo et al, 2022a). This method uses the spatial correlation between data sites to automatically identify their spatial distribution and eliminate the error caused by uneven distribution.…”
Section: Methodsmentioning
confidence: 99%
“…The average precipitation in Shanghai is calculated from the average value of the 35 meteorological observation stations. The station's data were interpolated using Kriging interpolation (Zhang et al, 2021; Luo et al, 2022a). This method uses the spatial correlation between data sites to automatically identify their spatial distribution and eliminate the error caused by uneven distribution.…”
Section: Methodsmentioning
confidence: 99%
“…As is shown in Figure 5 , the improved PIG methods (the CRITIC-PIG method and the Entropy-PIG method) were adopted to integrate subjective weights (listed in Table 2 ) and objective weights (CRITIC or Entropy method), which not only involve human subjective judgment but also objective calculation in Steps 1 and Step 2 [ 40 ], while the other procedures are essentially the same as the traditional PIG method. After calculation, the CRITIC-PIG value and the Entropy-PIG value were obtained.…”
Section: Methodsmentioning
confidence: 99%
“…The principle of the entropy weight method is to use the discrete degree of the indicators to determine the weight of different indicators. If a class of indicators is more important in the evaluation system, the information entropy is smaller, and the disorder is smaller, so the weight is higher, and vice versa [42].…”
Section: Global Entropy Weightmentioning
confidence: 99%