Temporal Variations of Water Quality Characteristics and Their Principal Sources in Tropical Vellar Estuary, South East Coast of India

Jagadeesan, L.; Manju, M.N.; Perumal, P.; Anantharam, P.

doi:10.3923/rjes.2011.703.713

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The data varied between 0 and +2. Only values within the range of −2 to +2 showed a normal distribution [ 31 ], F − , Na + , K + , NO 3 − , CO 3 2− , and pH were not found to be normally distributed ( Table 2 ). The data were then log-transformed so that it will be normally distributed Prior to the multivariate analyses, all the parameters were standardized by subtracting the mean value and dividing by the standard deviation of parameters [ 16 ].…”

Section: Methodsmentioning

confidence: 99%

Identification of the Hydrogeochemical Processes in Groundwater Using Classic Integrated Geochemical Methods and Geostatistical Techniques, in Amol-Babol Plain, Iran

Narany

Ramli

Aris

et al. 2014

The Scientific World Journal

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Hydrogeochemical investigations had been carried out at the Amol-Babol Plain in the north of Iran. Geochemical processes and factors controlling the groundwater chemistry are identified based on the combination of classic geochemical methods with geographic information system (GIS) and geostatistical techniques. The results of the ionic ratios and Gibbs plots show that water rock interaction mechanisms, followed by cation exchange, and dissolution of carbonate and silicate minerals have influenced the groundwater chemistry in the study area. The hydrogeochemical characteristics of groundwater show a shift from low mineralized Ca-HCO3, Ca-Na-HCO3, and Ca-Cl water types to high mineralized Na-Cl water type. Three classes, namely, C1, C2, and C3, have been classified using cluster analysis. The spatial distribution maps of Na+/Cl−, Mg2+/Ca2+, and Cl−/HCO3 − ratios and electrical conductivity values indicate that the carbonate and weathering of silicate minerals played a significant role in the groundwater chemistry on the southern and western sides of the plain. However, salinization process had increased due to the influence of the evaporation-precipitation process towards the north-eastern side of the study area.

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Section: Methodsmentioning

confidence: 99%

Identification of the Hydrogeochemical Processes in Groundwater Using Classic Integrated Geochemical Methods and Geostatistical Techniques, in Amol-Babol Plain, Iran

Narany

Ramli

Aris

et al. 2014

The Scientific World Journal

View full text Add to dashboard Cite

show abstract

“…The extended module Spatial Analyst was used to determine the spatiotemporal behavior of the Hydrochemical parameters. The different thematic layers of TH, pH and ion concentrations have been set by a spatial interpolation method through Inverse Distance Weighted (IDW) [1] , [2] . In this data, 40 water samples have been collected, analyzed in the laboratory with standard methods.…”

Section: Methodsmentioning

confidence: 99%

Data sets on spatial analysis of hydro geochemistry of Gudur area, SPSR Nellore district by using inverse distance weighted method in Arc GIS 10.1

et al. 2019

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The data represent on specific water quality monitoring parameters for 40 sampling points at Gudur area and Hydro geochemistry showed as spatial variation diagrams such as pH, TH, EC, TDS, SO4, HCO3, Ca, Mg, Na and F of Gudur area. The spatial maps show that high concentrations of physicochemical parameters in the North-East (NE) and South-East (SE) directions have been observed. The proper planning and various management activities were carried out with the help of these maps. The Gibbs diagram indicates the rock water interaction and bivariate plots data indicates the silicate weathering processes.

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Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran

Narany

Ramli

Aris

et al. 2014

Environ Monit Assess

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In recent years, groundwater quality has become a global concern due to its effect on human life and natural ecosystems. To assess the groundwater quality in the Amol-Babol Plain, a total of 308 water samples were collected during wet and dry seasons in 2009. The samples were analysed for their physico-chemical and biological constituents. Multivariate statistical analysis and geostatistical techniques were applied to assess the spatial and temporal variabilities of groundwater quality and to identify the main factors and sources of contamination. Principal component analysis (PCA) revealed that seven factors explained around 75% of the total variance, which highlighted salinity, hardness and biological pollution as the dominant factors affecting the groundwater quality in the Plain. Two-way analysis of variance (ANOVA) was conducted on the dataset to evaluate the spatio-temporal variation. The results showed that there were no significant temporal variations between the two seasons, which explained the similarity between six component factors in dry and wet seasons based on the PCA results. There are also significant spatial differences (p > 0.05) of the parameters under study, including salinity, potassium, sulphate and dissolved oxygen in the plain. The least significant difference (LSD) test revealed that groundwater salinity in the eastern region is significantly different to the central and western side of the study area. Finally, multivariate analysis and geostatistical techniques were combined as an effective method for demonstrating the spatial structure of multivariate spatial data. It was concluded that multiple natural processes and anthropogenic activities were the main sources of groundwater salinization, hardness and microbiological contamination of the study area.

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Temporal Variations of Water Quality Characteristics and Their Principal Sources in Tropical Vellar Estuary, South East Coast of India

Cited by 5 publications

References 9 publications

Identification of the Hydrogeochemical Processes in Groundwater Using Classic Integrated Geochemical Methods and Geostatistical Techniques, in Amol-Babol Plain, Iran

Identification of the Hydrogeochemical Processes in Groundwater Using Classic Integrated Geochemical Methods and Geostatistical Techniques, in Amol-Babol Plain, Iran

Data sets on spatial analysis of hydro geochemistry of Gudur area, SPSR Nellore district by using inverse distance weighted method in Arc GIS 10.1

Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran

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