Understanding the geochemical evolution of groundwater in Central Gujarat, India: an integrated hydrogeochemical and multivariate statistical approach

Siddha, Swayam; Sahu, Paulami

doi:10.1007/s12517-022-10386-x

Cited by 5 publications

(1 citation statement)

References 90 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To secure water quality and to decrease the pressures on water resources, it is important to study elaborately on spatial-temporal variations in territorial water quality and identify the potential contamination sources. Recently, the multivariate statistical technique becomes suitable for a better understanding of water quality and environmental status, due to their capability to treat an enormous volume of spatial and temporal information from various monitoring sites [6][7][8][9] .…”

Section: Introductionmentioning

confidence: 99%

: Assessment of Surface Water Quality by using Multivariate Statistical Techniques of Various Lakes of Kancheepuram District in Tamil Nadu, India.

Kuppusamy¹,

Sridhar²

2022

J. ISAS

View full text Add to dashboard Cite

Multivariate statistical methods such as Principal Component Analysis/Factor analysis (PCA/FA), and Cluster Analysis (CA) were used to characterize spatial and temporal variations and to find out the pollution source of 11 lakes of the Kancheepuram district, a northeast district of Tamilnadu in India. Sampling events were conducted during the northeast monsoon (Dec 2015 & 2016) and Pre-monsoon (Oct 2016). The 20 physicochemical water quality parameters were used to analyze the collected water samples.In PCA, four components were demonstrated up to 73.12% of the total variance in the data set. It clarifies that variations in water quality parameters concentration are mainly identified with agricultural, industrial, domestic wastes, and natural factors. The CA showed the formation of three clusters based on the water quality variation at different locations. From the CA data, sampling sites were classified into high, moderate, and least polluted. Among these sites, Kolavai, Nattapettai and Uthiramerur were highly polluted because of rapid urbanization and industrialization. Therefore, these areas need some effective measures to enhance the quality of water.

show abstract

Section: Introductionmentioning

confidence: 99%

: Assessment of Surface Water Quality by using Multivariate Statistical Techniques of Various Lakes of Kancheepuram District in Tamil Nadu, India.

Kuppusamy¹,

Sridhar²

2022

J. ISAS

View full text Add to dashboard Cite

show abstract

Evaluation of Groundwater Quality in an Urbanized Watershed with a Special Reference to Heavy Metal Concentration

Marathe,

Samnani

2024

Lecture Notes in Civil Engineering

View full text Add to dashboard Cite

Hydrogeochemical evolution and water quality assessment of surface and groundwater resources: case study, Shirin Darreh dam basin (NE Iran)

Tajbakhshian

2023

Arab J Geosci

View full text Add to dashboard Cite

Understanding the geochemical evolution of groundwater in Central Gujarat, India: an integrated hydrogeochemical and multivariate statistical approach

Cited by 5 publications

References 90 publications

: Assessment of Surface Water Quality by using Multivariate Statistical Techniques of Various Lakes of Kancheepuram District in Tamil Nadu, India.

: Assessment of Surface Water Quality by using Multivariate Statistical Techniques of Various Lakes of Kancheepuram District in Tamil Nadu, India.

Evaluation of Groundwater Quality in an Urbanized Watershed with a Special Reference to Heavy Metal Concentration

Hydrogeochemical evolution and water quality assessment of surface and groundwater resources: case study, Shirin Darreh dam basin (NE Iran)

Contact Info

Product

Resources

About