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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
Source apportionment of groundwater contamination and spatial variability in the Bohai Sea region (China)
Zhe Zhang1, Lixin Yi1, Chenyi Liu1
1College of Environmental Science and Engineering, Nankai University, Tianjin 300350, PR China.
Abstract:
Understanding large-sample groundwater chemical dynamics is critical for sustainable coastal aquifer management. Using geostatistics, Self-Organizing Maps (SOM), K-means clustering, and Positive Matrix Factorization (PMF) on 1415 high-dimensional datasets from China's Bohai region (subregions: Bohai Bay, Liaodong Bay, Laizhou Bay), we investigate spatial dynamics, evolutionary classification, and source apportionment of groundwater chemistry. Results reveal pronounced spatial heterogeneity in salinity and contaminant ions, with a distinct hydrochemical gradient (Laizhou Bay area > Bohai Bay area > Liaodong Bay area) reflecting salinity-driven quality degradation. SOM indicates halite dissolution/seawater intrusion via Na+-Cl- covariation (ranking: Laizhou Bay area≈ Bohai Bay area > Liaodong Bay area), while decoupled Ca2+-SO₄2- and distinct F--HCO₃-/Ca2+-F- gradients highlight the contributions of anthropogenic (primary) and natural contributions (secondary). K-means identifies quintuple groundwater groups across subregions, demonstrating consistent tripartite zonation: high-salinity coastal (SO₄·Cl-Na/Ca·Mg), transitional mixing, and inland freshwater (Ca·Mg-HCO₃) zones-characterized by declining seawater mixing and increasing anthropogenic pollution. PMF quantifies five anthropogenic-geogenic sources with subregional dominance: Bohai Bay features seawater intrusion (Factor 1: Na+-Cl-) and industrial SO₄2- (Factor 4); Liaodong Bay exhibits agricultural dominance (Factors 2-3: Mg2+, NO₃--NO₂--F-) linked to intensive fertilization; Laizhou Bay shows paleo-brine impacts (Factor 1: Na+-Cl--Br-) with evaporated seawater signatures. Management priorities thus diverge: saline groundwater utilization and urban/industrial controls in Bohai/Laizhou Bay area versus agricultural efficiency in Liaodong Bay area. These findings demonstrate both the effectiveness of combining SOM and PMF for processing high-dimensional hydrochemical data and underscore the necessity for tailored groundwater protection strategies targeting critical subregional pollution sources.

