2020
DOI: 10.1016/j.gsd.2020.100374
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Groundwater quality and human health risk assessment for safe and sustainable water supply of Dhaka City dwellers in Bangladesh

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Cited by 103 publications
(52 citation statements)
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“…It is found that, CA results strongly matched with the results of PCA, and classified into four major cluster or group ( Figure 5 ). Generally, particular cluster shows similar characteristics with respect to the analysed factors ( Bodrud-Doza et al., 2020b ). However, Cluster 1 consists of statements S10–S13, which are related to the physical and mental effects of stress.…”
Section: Resultsmentioning
confidence: 81%
See 1 more Smart Citation
“…It is found that, CA results strongly matched with the results of PCA, and classified into four major cluster or group ( Figure 5 ). Generally, particular cluster shows similar characteristics with respect to the analysed factors ( Bodrud-Doza et al., 2020b ). However, Cluster 1 consists of statements S10–S13, which are related to the physical and mental effects of stress.…”
Section: Resultsmentioning
confidence: 81%
“…Multivariate statistical tools i.e., principal component analysis (PCA), and cluster analysis (CA) were applied in this study to examine the interface between the respondent's perception and factors responsible for human stress. PCA was performed using Varimax rotation with Kaiser Normalization, which used to maximize the sum of variance of the factor coefficients ( Ahmed et al., 2019 ; Bodrud-Doza et al., 2019 , 2020b ), which better explains the possible causes of human stress. However, the calculated factor loadings together with cumulative percentage and percentages of variance are depicted in Table 4 .…”
Section: Resultsmentioning
confidence: 99%
“…Generally, the T test is performed to determine whether there is any statistically significant difference between the means of two groups, while the one-way ANOVA is used to determine whether there are any statistically significant differences between the means of three or more independent groups (Howell 2002 ; Kim 2015 ). Furthermore, PCA is a data reduction tool that demonstrates each potentiality of the parameters and their confidence level in large sample datasets (Bodrud-Doza et al 2020a ). PCA was performed using Varimax rotation with Kaiser Normalization, in order to maximize the sum of the variance of the factor coefficients (Bodrud-Doza et al 2019b ), which better explains the studied factors.…”
Section: Methodsmentioning
confidence: 99%
“…Water pollution is a common phenomenon of a developing country like India, and Bangladesh, where domestic and industrial wastes are dumped into rivers without treatment (Islam and Azam, 2015;Islam and Huda, 2016;Bodrud-Doza et al, 2020;Yunus et al, 2020). During the lockdown period, the major industrial sources of pollution have shrunk or completely stopped, which helped to reduce the pollution load (Yunus et al, 2020).…”
Section: Reduction Of Water Pollutionmentioning
confidence: 99%