Open AccessCorrelation analysis of mid-deep groundwater chemical composition of Weibei Plain
Author(s) -
Ping Qin,
Hongliang Liu,
Zhihao Liang,
Tao Wu
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/474/6/062006
Subject(s) - principal component analysis , coastal plain , groundwater , brackish water , composition (language) , hydrology (agriculture) , environmental science , geology , mathematics , salinity , oceanography , statistics , geotechnical engineering , paleontology , linguistics , philosophy
The freshwater and brackish water in the mid-deep layers of Weibei Plain plays an important role in the development of the local economy. This paper uses statistical theory such as principal component analysis, correlation analysis, and stepwise regression to analyze the chemical composition of middle and deep groundwater of Weibei Plain to find the main indicator ions that affect TDS.