Multivariate statistical analysis supporting the hydrochemical characterization of groundwater and surface water: a case study in northern Italy

2019 ◽  
Vol 47 ◽  
pp. 90-96 ◽  
Author(s):  
Marco Rotiroti ◽  
Chiara Zanotti ◽  
Letizia Fumagalli ◽  
Sara Taviani ◽  
Gennaro A. Stefania ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Surface Water ◽  
Multivariate Statistical Analysis ◽  
Northern Italy ◽  
Multivariate Statistical ◽  
Hydrochemical Characterization

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.

Sign in / Sign up

Export Citation Format

Share Document