Application of Cluster Analysis and Principal Component Analysis for Assessment of Groundwater Quality—A Study in Semarang, Central Java, Indonesia

International Conference on SMART CITY Innovation 2018

Amanah, T.R.N.^1 ; Putranto, T.T.^2 ; Helmi, M.^3^4

Master Program of Environmental Sciences, School of Postgraduate Studies, Diponegoro University, Jl.Prof.H.Soedarto, S.H.Tembalang, Tembalang, Kota Semarang, Jawa Tengah

50275, Indonesia^1

Department of Geological Engineering, Faculty of Engineering, Diponegoro University, Jl.Prof.H.Soedarto, S.H.Tembalang, Tembalang, Kota Semarang, Jawa Tengah

50275, Indonesia^2

Oceanography Department, Faculty of Fisheries and Marine Science, Diponegoro University, Jl.Prof.H.Soedarto, S.H.Tembalang, Tembalang, Kota Semarang, Jawa Tengah

50275, Indonesia^3

Center for Coastal Rehabilitation and Mitigation Studies (CoREM), Diponegoro University, Jl.Prof.H.Soedarto, S.H.Tembalang, Tembalang, Kota Semarang, Jawa Tengah

50275, Indonesia^4

关键词: Agriculture wastes;    Anthropogenic factors;    DNA expressions;    Dug well;    Factorial analysis;    Indonesia;    Lead concentration;    Research studies;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/248/1/012063/pdf
DOI  :  10.1088/1755-1315/248/1/012063

来源: IOP

【 摘 要 】

The research study is located in Semarang with 10 samples of ground water gathered from dug wells. Cluster analysis and principal component analysis of ground water data is used to find water quality. The findings show lead concentration, cadmium concentration, and TDS in the water have surpassed the standard by the rules of Indonesian Health Ministry Year 2010. Those surpassing concentrations make water not suitable to consume because it will have impact on health, such as: inducting injuries through oxidative stress, epigenetic changes in DNA expression, central nerve, hematopoietic, incurable liver and kidney failures. Cluster analysis shows 7 locations are included into first cluster meanwhile three other locations are included into second, third, and fourth. From factorial analysis of four main factors, such as manganese, nitrate, zinc, and cadmium. Those factors are assumed to pollute because anthropogenic factors, such as: industrial, domestic, and agriculture waste causing lowering water quality.