Assessment of groundwater water quality in central and southern Gulf Coast aquifer, TX using principal component analysis

Uddameri, Venkatesh; Honnungar, Vivekanand; Hernandez, E. Annette

doi:10.1007/s12665-013-2896-8

Cited by 32 publications

(13 citation statements)

References 30 publications

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“…The third eigenvalue was 1.366, and its contribution rate was 19.511%. The cumulative contribution rate of the first three principal components reached 85.164% (>80%) [51]. In other words, three principal components can extract 85.146% of the original information.…”

Section: Quantitative Analysis Of Major Influencing Factors Of Groundmentioning

confidence: 91%

Seasonal and Inter-Annual Variability of Groundwater and Their Responses to Climate Change and Human Activities in Arid and Desert Areas: A Case Study in Yaoba Oasis, Northwest China

Zheng

et al. 2020

Water

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Climate change and human activities have profound effects on the characteristics of groundwater in arid oases. Analyzing the change of groundwater level and quantifying the contributions of influencing factors are essential for mastering the groundwater dynamic variation and providing scientific guidance for the rational utilization and management of groundwater resources. In this study, the characteristics and causes of groundwater level in an arid oasis of Northwest China were explored using the Mann-Kendall trend test, Morlet wavelet analysis, and principal component analysis. Results showed that the groundwater level every year exhibited tremendous regular characteristics with the seasonal exploitation. Meanwhile, the inter-annual groundwater level dropped continuously from 1982 to 2018, with a cumulative decline depth that exceeded 12 m, thereby causing the cone of depression. In addition, the monthly groundwater level had an evident cyclical variation on the two time scales of 17-35 and 7-15 months, and the main periodicity of monthly level was 12 months. Analysis results of the climatic factors from 1954 to 2018 observed a significant warming trend in temperature, an indistinctive increase in rainfall, an inconspicuous decrease in evaporation, and an insignificant reduction in relative humidity. The human factors such as exploitation amount, irrigated area, and population quantity rose substantially since the development of the oasis in the 1970s. In accordance with the quantitative calculation, human activities were decisive factors on groundwater level reduction, accounting for 87.79%. However, climate change, including rainfall and evaporation, which contributed to 12.21%, still had the driving force to change the groundwater level in the study area. The groundwater level of Yaoba Oasis has been greatly diminished and the ecological environment has deteriorated further due to the combined effect of climate change and human activities.

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Section: Quantitative Analysis Of Major Influencing Factors Of Groundmentioning

confidence: 91%

Seasonal and Inter-Annual Variability of Groundwater and Their Responses to Climate Change and Human Activities in Arid and Desert Areas: A Case Study in Yaoba Oasis, Northwest China

Zheng

et al. 2020

Water

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“…The suitability of groundwater resources for irrigation purpose was also studied (Sujatha and Reddy 2003;Sadashivaiah et al 2008;Ramesh and Bhuvana 2012). Several published research studies have employed the use of multivariate statistical analysis in the interpretation of groundwater quality data obtained from various sources (Sundaray 2010;Singh et al, 2008;Uddamari et al 2014;Oketola et al 2013;Molla et al 2015;Arslan 2013;Zhang et al 2014;Majolagbe et al 2016;Markic et al 2015;Razmkhah et al 2010). Scientists have also employed the use of principal component analysis (PCA) to study soil physicochemical properties and its geochemical constituents, identification of heavy metals pollutants in soil, analysis of heavy metals presence in dust and evaluation of influence of seasons on air pollution (Adhikari et al 2003;Ma et al 2016;Satyanarayanan et al 2016;Gergen and Harmanescu 2012;Iwara et al 2014;Lu et al 2010;Burt et al 2014;Benhaddya and Hadjel 2014;Abdul Raheem et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of seasonal variation of water quality using multivariate statistical analysis and irrigation parameter indices in Ajakanga area, Ibadan, Nigeria

et al. 2018

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The variation of groundwater quality across different regions is of great importance in the study of groundwater so as to ascertain the sources of contaminants to available water sources. Geochemical assessment of groundwater samples from hand-dug wells were done within the vicinity of Ajakanga dumpsite, Ibadan, Southwestern, Nigeria, with the aim of assessing their suitability for domestic and irrigation purposes. Ten groundwater samples were collected both in dry and wet seasons for analysis of physicochemical parameters such as: pH, EC, TDS, Naprincipal component analysis (PCA) and cluster analysis (CA) were used to determine probable sources of groundwater contamination. The results of the analyses showed the groundwater samples to be within permissible limits of WHO/NSDWQ, while elevated values of concentrations of most analyzed chemical constituents in water samples were noticed in S 1 and S 10 due to their nearness to the dumpsite and agricultural overflow, respectively. Groundwater in the study area is of hard, fresh and alkaline nature. There are very strong associations between EC and TDS, HCO in both seasons. PCA identified five and three major factors accounting for 95.7 and 88.7% of total variation in water quality for dry and wet seasons, respectively. PCA also identified factors influencing water quality as those probably related to mineral dissolution, groundwater-rock interaction, weathering process and anthropogenic activities from the dumpsite. Results of CA show groups based on similar water quality characteristics and on the extent of proximity to the dumpsite. Assessment for irrigation purpose showed that most of the water samples were suitable for agricultural purpose except in a few locations.

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“…Multivariate statistical techniques has extensively been used in literature to characterise and assess groundwater sources (Hussain et al 2008;Shihab and AbdulBaqi 2010;Mahmood et al 2011;Okogbue et al 2012;Narany et al 2014;Masoud 2014;Uddameri et al 2014;Yadav et al 2014;Asare-Donkor et al 2015). However, the use of multivariate statistical technique and pollution evaluation index to assess the safety and quality of hand-dug well water in the Ejisu-Juaben Municipality is lacking.…”

Section: Introductionmentioning

confidence: 99%

Pollution evaluation, sources and risk assessment of heavy metals in hand-dug wells from Ejisu-Juaben Municipality, Ghana

et al. 2015

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Background: Groundwater quality is among the most important environmental issues as a result of heavy metals contamination from anthropogenic sources. Concentrations of heavy metals in hand-dug wells from Ejisu-Juaben Municipality were studied to understand the levels of heavy metals and their source of pollution. Results:The results show that the average abundance of heavy metal concentration in the groundwater samples are in the order: Fe > Zn > Mn > Pb > Cu > Cd. The non-carcinogenic risk indicates that the groundwater is safe and therefore poses no health risks; however, the carcinogenic risk exceeds the acceptable limit of 10. Principal component analysis extracted two components, which explained 64.24 % of the total variance. C d suggests that 63 % of the samples are highly polluted (C d > 3), whereas HPI indicates that all the samples are above the critical limit (HPI > 100). Conclusion:Our findings concluded that lithogenic and anthropogenic activities are the main source of contamination influencing the water quality.

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Assessment of groundwater water quality in central and southern Gulf Coast aquifer, TX using principal component analysis

Cited by 32 publications

References 30 publications

Seasonal and Inter-Annual Variability of Groundwater and Their Responses to Climate Change and Human Activities in Arid and Desert Areas: A Case Study in Yaoba Oasis, Northwest China

Seasonal and Inter-Annual Variability of Groundwater and Their Responses to Climate Change and Human Activities in Arid and Desert Areas: A Case Study in Yaoba Oasis, Northwest China

Evaluation of seasonal variation of water quality using multivariate statistical analysis and irrigation parameter indices in Ajakanga area, Ibadan, Nigeria

Pollution evaluation, sources and risk assessment of heavy metals in hand-dug wells from Ejisu-Juaben Municipality, Ghana

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