Cited by 3 (Alhamdulillah)

Hydrogeochemistry of volcanic hydrogeology based on cluster analysis of Mount Ciremai, West Java, Indonesia

DE Irawan, DJ Puradimaja, S Notosiswoyo… – Journal of …, 2009 – Elsevier
Hydrogeochemical analysis has been conducted on 119 spring locations to portray volcanic
hydrogeological system of Mount Ciremai, West Java, Indonesia. Cluster analysis on 14
parameters has extracted three clusters. Cluster 1 (112 springs) is distinguished by 


P Sumintadireja, A Saepuloh, D Irawan, L Junursyah –
ABSTRACT Detecting thermal anomaly at surface is crucial for geothermal exploration.
Since field observations to map surface manifestation are costly and only limited to certain
area, we adopted a temporal analysis of visible to thermal infrared band of Landsat 

Hydrochemical analysis to evaluate the seawater ingress in a small coral island of India

P Banerjee, VS Singh, A Singh, RK Prasad… – Environmental …, 2011 – Springer
Abstract The sustainable development of the limited groundwater resources in the tropical
island requires a thorough understanding of detail hydrogeological regime including the
hydrochemical behavior of groundwater. Detail analysis of chemical data of groundwater 

Identification of groundwater contamination zones and its sources by using multivariate statistical approach in Thirumanimuthar sub-basin, Tamil Nadu, India

M Vasanthavigar, K Srinivasamoorthy… – Environmental Earth … – Springer
Abstract Hydrogeochemical studies have been made in the study area by using multivariate
statistical analysis, which is mainly helpful for interpretation of complex data matrices to
better understand the geochemical evolution of the area and it allows identifying the 

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Research interest: Hydrochemistry, multivariate analysis, and R programming My current focus is how to provide the hydrostratigraphy of volcanic aquifers in Bandung area. The research is based on environmental isotope measurement in groundwater and morphometry. My work consists of hydrochemical measurements. I am using multivariate statistical methods to provides more quantitative foundation for the analysis and more insight into the groundwater behaviour.

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