Identifying the Major Hydrogeochemical Factors Governing Groundwater Chemistry in the Coastal Aquifers of Southwest Bangladesh Using Statistical Analysis

被引:8
|
作者
Sarker, Md Mizanur Rahman [1 ,2 ]
Hermans, Thomas [1 ]
Van Camp, Marc [1 ]
Hossain, Delwar [2 ]
Islam, Mazeda [1 ,2 ]
Ahmed, Nasir [3 ]
Bhuiyan, Md Abdul Quaiyum [3 ]
Karim, Md Masud [3 ]
Walraevens, Kristine [1 ]
机构
[1] Univ Ghent, Dept Geol, Lab Appl Geol & Hydrogeol, B-9000 Ghent, Belgium
[2] Jahangirnagar Univ, Dept Geol Sci, Dhaka 1342, Bangladesh
[3] Bangladesh Atom Energy Commiss, Isotope Hydrol Div, Dhaka 1349, Bangladesh
关键词
hydrochemistry; evaporite dissolution; cation exchange; cluster analysis; factor analysis; QUALITY FACTOR IDENTIFICATION; EVOLUTION; ORIGIN; AREA; CLASSIFICATION; SALINIZATION; SALINITY; CLUSTER; VALLEY; SPAIN;
D O I
10.3390/hydrology9020020
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
People in the southwestern (SW) coastal part of Bangladesh are suffering from a severe freshwater crisis due to saline groundwater at a shallow depth. Fresh groundwater below a 200 m depth is an option, but it is costly to construct deep tubewells for the local inhabitants. The processes of salinization and freshening were previously identified using conventional methods. In this study, we brought new insight into these processes by analyzing existing datasets using multivariate statistics to identify the factors affecting groundwater chemistry. Cluster analysis (CA) revealed three major clusters. Cluster A corresponded to saline (NaCl-type) water. Cluster B was also saline (NaCl-type) water but showed mixing effects. Cluster C was fresh groundwater (NaHCO3-type) and isolated. The hydrochemical characteristics of clusters A, B and C compared remarkably well with the groundwaters from the upper shallow aquifer (USA), lower shallow aquifer (LSA) and deep aquifer (DA), respectively. Factor analysis (FA) showed that 75% of the total variance was influenced by evaporate dissolution, carbonate dissolution/precipitation, cation exchange and anthropogenic pollution to some extent. Therefore, the integrated approach showed the validity of applying multivariate statistical techniques to infer the dominant hydrochemistry and to characterize and understand a complicated hydrogeological system.
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页数:19
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