Characterization of hydrocarbon contaminated areas by multivariate statistical analysis: Case studies

1991 ◽  
Vol 17 (2-3) ◽  
pp. 281-302 ◽  
Author(s):  
Guadalupe Saenz ◽  
Nicholas E. Pingitore
Keyword(s):  
Statistical Analysis ◽  
Case Studies ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical

scholarly journals Identification of the dominant hydrogeochemical processes and characterization of potential contaminants in groundwater in Qingyuan, China, by multivariate statistical analysis

RSC Advances ◽  
2018 ◽  
Vol 8 (58) ◽  
pp. 33243-33255 ◽  
Author(s):  
Zuobing Liang ◽  
Jianyao Chen ◽  
Tao Jiang ◽  
Kun Li ◽  
Lei Gao ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Water Source ◽  
Hydrogeochemical Processes ◽  
Karst Aquifers ◽  
Multivariate Statistical ◽  
Drinking And Irrigation ◽  
Karst Areas

In karst areas, groundwater is an important water source for drinking and irrigation purposes; however, karst aquifers are vulnerable and recovery from damage is difficult.

Multivariate statistical analysis for characterization of sedimentary facies of Tarakan sub-basin, North Kalimantan

2017 ◽  
Vol 36 (8) ◽  
pp. 907-917 ◽  
Author(s):  
Septriono Hari Nugroho ◽  
Purna Sulastya Putra ◽  
Eko Yulianto ◽  
Dardji Noeradi
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Sedimentary Facies ◽  
Multivariate Statistical

Multivariate statistical analysis characterization of application-based ion mobility spectra

1995 ◽  
Vol 316 (1) ◽  
pp. 1-14 ◽  
Author(s):  
A.Peter Snyder ◽  
Waleed M. Maswadeh ◽  
Gary A. Eiceman ◽  
Yuan-Feng Wang ◽  
Suzanne E. Bell
Keyword(s):  
Statistical Analysis ◽  
Ion Mobility ◽  
Multivariate Statistical Analysis ◽  
Multivariate Statistical ◽  
Ion Mobility Spectra
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