马荣,石建省*,刘继朝
Abstract
Understanding the controlling factor of
groundwater quality can enhance promoting sustainable development of
groundwater resources. To this end, multivariate statistical analysis (MA) and
hydrochemical analysis were introduced in this work. The results indicate that
the canonical discriminant function with 7 parameters was established using the
discriminant analysis (DA) method, which can afford 100% correct assignation
according to the 3 different clusters (good water (GW), poor water (PW), and very
poor water (VPW)) obtained from cluster analysis (CA). According to factor
analysis (FA), 8 factors were extracted from 25 hydrochemical elements and
account for 80.897% of the total data variance, suggesting that groundwater
with higher concentrations of sodium, calcium, magnesium, chloride, and sulfate
in southeastern study area are mainly affected by the natural process; the
higher level of arsenic and chromium in groundwater extracted from northwestern
part of study area are derived by industrial activities; domestic and
agriculture sewage have important contribution to copper, iron, iodine, and
phosphate in the northern study area.Therefore, this work can help identify the
main controlling factor of groundwater quality in North China plain so as to make
better and more informed decisions about how to achieve groundwater resources
sustainable development.