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Article

Analysis of Distribution Features and Causes for Strontium Content in Groundwater at the Northern Foot of Lushan Mountain, Shandong, China

1
Hebei Key Laboratory of Close-to-Nature Restoration Technology of Wetlands, School of Eco-Environment, Hebei University, Baoding 071002, China
2
Engineering Research Center of Ecological Safety and Conservation in Beijing-Tianjin-Hebei (Xiong’an New Area) of MOE, Baoding 071002, China
3
Shandong GEO-Surveying & Mapping Institute, Jinan 250012, China
4
Center for Hydrogeology and Environmental Geology, China Geological Survey (CGS), Tianjin 300300, China
5
China Institute of Geo-Environment Monitoring, Beijing 100081, China
6
Harbin Center for Integrated Natural Resources Survey, China Geological Survey (CGS), Harbin 150086, China
*
Authors to whom correspondence should be addressed.
Water 2025, 17(16), 2443; https://doi.org/10.3390/w17162443
Submission received: 15 July 2025 / Revised: 11 August 2025 / Accepted: 14 August 2025 / Published: 18 August 2025

Abstract

Strontium, a key trace element regulating bone development and cardiovascular function, has seen growing research interest in its groundwater accumulation and resource potential. The unique geological structure of the northern Lushan Mountain slope provides an ideal setting to investigate strontium migration and enrichment. We systematically collected 21 groundwater samples and analyzed strontium occurrence characteristics and formation mechanisms using hydrochemical analysis, PHREEQC simulations, Gibbs diagrams, and cation exchange adsorption models. Analysis revealed that 71.4% of samples (15 groups) exceeded the GB 8537-2018 standard (≥0.4 mg/L), significantly higher than typical groundwater systems. Spatial distribution showed marked geological differentiation: average strontium concentration in Cambrian-Ordovician fractured-karst water reached 2.79 mg/L (range: 0.207–12.41 mg/L), 109.8% higher than in bedrock fissure water (1.33 mg/L). Structural control was evident, with samples near fault zones exhibiting generally higher concentrations than non-fault areas. Multivariate statistics indicated significant positive correlations between Sr2+ and TDS, Na+, Ca2+, and SO42−, suggesting synergistic enrichment mechanisms. Hydrogeochemical simulations confirmed that multiphase leaching of strontium-bearing silicate rocks provides the primary source, while rock weathering-driven ion exchange reactions constitute the key enrichment mechanism. This study elucidates the structural-lithological coupling-controlled hydrogeochemical cycle of strontium, providing theoretical support for delineating high-quality mineral water targets and developing health-beneficial geo-resources in the Lushan region.
Keywords: strontium element; mineral water resources; hydrogeochemistry; rock weathering; northern foot of Lushan Mountain strontium element; mineral water resources; hydrogeochemistry; rock weathering; northern foot of Lushan Mountain

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MDPI and ACS Style

Li, C.; Zhang, F.; Yu, C.; Qi, X.; Li, C.; Yu, W.; Xue, L. Analysis of Distribution Features and Causes for Strontium Content in Groundwater at the Northern Foot of Lushan Mountain, Shandong, China. Water 2025, 17, 2443. https://doi.org/10.3390/w17162443

AMA Style

Li C, Zhang F, Yu C, Qi X, Li C, Yu W, Xue L. Analysis of Distribution Features and Causes for Strontium Content in Groundwater at the Northern Foot of Lushan Mountain, Shandong, China. Water. 2025; 17(16):2443. https://doi.org/10.3390/w17162443

Chicago/Turabian Style

Li, Chuansheng, Fawang Zhang, Cuicui Yu, Xiaofan Qi, Chang Li, Wen Yu, and Lei Xue. 2025. "Analysis of Distribution Features and Causes for Strontium Content in Groundwater at the Northern Foot of Lushan Mountain, Shandong, China" Water 17, no. 16: 2443. https://doi.org/10.3390/w17162443

APA Style

Li, C., Zhang, F., Yu, C., Qi, X., Li, C., Yu, W., & Xue, L. (2025). Analysis of Distribution Features and Causes for Strontium Content in Groundwater at the Northern Foot of Lushan Mountain, Shandong, China. Water, 17(16), 2443. https://doi.org/10.3390/w17162443

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