Application of principal component analysis in groundwater quality assessment

2011 ◽  
Author(s):  
Xuedi Zhang ◽  
Jianhua Wu ◽  
Baode Song
Keyword(s):  
Principal Component Analysis ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Principal Component ◽  
Component Analysis ◽  
Groundwater Quality Assessment

scholarly journals Groundwater Quality Assessment: An Improved Approach to K-Means Clustering, Principal Component Analysis and Spatial Analysis: A Case Study

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 437 ◽  
Author(s):  
Ana Marín Celestino ◽  
Diego Martínez Cruz ◽  
Elena Otazo Sánchez ◽  
Francisco Gavi Reyes ◽  
David Vásquez Soto
Keyword(s):  
Principal Component Analysis ◽  
Spatial Analysis ◽  
Groundwater Quality ◽  
Quality Assessment ◽  
Principal Component ◽  
Component Analysis ◽  
Groundwater Quality Assessment

scholarly journals Assessment of Groundwater Quality Based on Matter Element Extension Model

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jin Jing ◽  
Qian Hui ◽  
Chen Yu-Fei ◽  
Xi Wen-Juan
Keyword(s):  
Principal Component Analysis ◽  
Drinking Water ◽  
Groundwater Quality ◽  
Principal Component ◽  
Analysis Method ◽  
Entropy Weight ◽  
Extension Method ◽  
Groundwater Quality Assessment ◽  
Extension Model ◽  
Dissolution And Precipitation

The basic theory and calculating processes of matter element extension method are discussed in detail. Mass balance simulation is used to study the changes of groundwater chemistry. Results show that calcite and dolomite are oversaturated, while gypsum, fluorite, and halite are unsaturated in the simulation path; so calcite precipitates, while gypsum, fluorite, halite, and dolomite dissolve. The changing tendency of Ca2+/Na+is apparent. Because of the dissolution and precipitation of minerals, the content of each ion changes. Parameters of groundwater are basically within the permissible limits and meet the requirement of drinking water standards. By comparing the evaluation results obtained from matter element extension method, osculating value method based on entropy weight, and principal component analysis method, it is proved that matter element extension is an effective and reasonable method for groundwater quality assessment. The converting tendency of groundwater quality is judged based on the extension indexes; this characteristic is unique of matter element extension method.

scholarly journals The influence of ecological restoration projects on groundwater in Yongding River Basin in Beijing, China

2019 ◽  
Vol 19 (8) ◽  
pp. 2391-2399 ◽  
Author(s):  
Zhuoran Luo ◽  
Shuqi Zhao ◽  
Jin Wu ◽  
Yongxiang Zhang ◽  
Peibin Liu ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Groundwater Quality ◽  
Ecological Restoration ◽  
Chemical Properties ◽  
Principal Component ◽  
Component Analysis ◽  
Spatial And Temporal Variation ◽  
Beijing China ◽  
The Yongding River ◽  
Yongding River

Abstract This study was conducted to investigate the groundwater quality features of the Yongding River in Beijing, China, and its relationship with urban development and ecological restoration projects. The Yongding River has been cut off all year around and the ecological environment has continued to deteriorate. Therefore, a series of river ecological restoration projects of ‘Five Lakes on One Route’ have been implemented. In order to characterize the physico-chemical properties of groundwater and evaluate the effects of these projects on groundwater quality, by using principal component analysis, this study analyzed spatial and temporal variation on the basis of 11 water quality parameters at 10 monitoring sites of ‘Five Lakes on One Route’ for Yongding River during April and September of 2011 and 2016. Principal component analysis demonstrated that relatively poor groundwater is mainly distributed in Fengtai District residential and industrial land, and the groundwater in Mentougou District woods is generally better. The groundwater quality at eight monitoring sites kept the same level or became better, and the construction of the river ecological restoration projects of ‘Five Lakes on One Route’ is important for protecting the groundwater resource.

scholarly journals Groundwater quality assessment using principal component analysis and hierarchical cluster analysis in Alaçam, Turkey

2021 ◽  
Author(s):  
Mehmet Taşan ◽  
Yusuf Demir ◽  
Sevda Taşan
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Groundwater Quality ◽  
Seawater Intrusion ◽  
Hierarchical Cluster Analysis ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Component Analysis ◽  
Quality Parameters ◽  
Multivariate Statistical

Abstract This study assessed groundwater quality in Alaçam, where irrigations are performed solely with groundwaters and samples were taken from 35 groundwater wells at pre and post irrigation seasons in 2014. Samples were analyzed for 18 water quality parameters. SAR, RSC and %Na values were calculated to examine the suitability of groundwater for irrigation. Hierarchical cluster analysis and principal component analysis were used to assess the groundwater quality parameters. The average EC value of groundwater in the pre-irrigation period was 1.21 dS/m and 1.30 dS/m after irrigation in the study area. It was determined that there were problems in two wells pre-irrigation and one well post-irrigation in terms of RSC, while there was no problem in the wells in terms of SAR. Piper diagram and cluster analysis showed that most groundwaters had CaHCO3 type water characteristics and only 3% was NaCl- as the predominant type. Seawater intrusion was identified as the primary factor influencing groundwater quality. Multivariate statistical analyses to evaluate polluting sources revealed that groundwater quality is affected by seawater intrusion, ion exchange, mineral dissolution and anthropogenic factors. The use of multivariate statistical methods and geographic information systems to manage water resources will be beneficial for both planners and decision-makers.

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