2020
DOI: 10.1016/j.jhydrol.2020.124930
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Investigation into sustainable water use in India using combined large-scale earth system-based modelling and census-based statistical data

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Cited by 8 publications
(4 citation statements)
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“…This method helps to decrease the dimensionality of the large data set by replacing some correlated variables with a more compact set of orthogonal predictors (e.g., Joseph et al. (2019, 2020)). Each of these new predictors is defined by a linear association of the original variables (I. Jolliffe, 2002).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…This method helps to decrease the dimensionality of the large data set by replacing some correlated variables with a more compact set of orthogonal predictors (e.g., Joseph et al. (2019, 2020)). Each of these new predictors is defined by a linear association of the original variables (I. Jolliffe, 2002).…”
Section: Methodsmentioning
confidence: 99%
“…PCA is a multivariate statistical technique by which dominant patterns of a data matrix are extracted in the form of a set of loading and score vectors (Wold et al, 1987). This method helps to decrease the dimensionality of the large data set by replacing some correlated variables with a more compact set of orthogonal predictors (e.g., Joseph et al (2019Joseph et al ( , 2020). Each of these new predictors is defined by a linear association of the original variables (I.…”
Section: Multivariable Statistical Analysis and Modelingmentioning
confidence: 99%
“…AU is located in the northern part of India, and in this region, water is a scarce resource [72], and thus, it is crucial to reduce the water footprint [73]. The geographical location where the university is located has witnessed a sharp decline in the groundwater table in the past several years [74].…”
Section: Environmental Management and Green Campusmentioning
confidence: 99%
“…Apart from domestic and industrial water usage, the water demand for agriculture remains the highest in developing countries like India (Joseph et al ., 2020). Hence, the drought events could take a toll on agricultural production.…”
Section: Introductionmentioning
confidence: 99%