Spatial distribution characteristics and prediction of fluorine concentration in groundwater based on driving factors analysis

被引:14
|
作者
Lu, Mu-Yuan [1 ]
Liu, Yuan [1 ,2 ]
Liu, Gui-Jian [1 ]
Li, Yong-Li [1 ]
Xu, Jin-Zhao [1 ]
Wang, Guan-Yu [1 ]
机构
[1] Univ Sci & Technol China, Sch Earth & Space Sci, Hefei 230026, Peoples R China
[2] City Univ Hong Kong, State Key Lab Marine Pollut, Hong Kong, Peoples R China
关键词
Fluoride; Bayesian maximum entropy; Hydrochemical type; Vertical distribution; NORTHERN ANHUI PROVINCE; SHALLOW GROUNDWATER; QUALITY ASSESSMENT; BASIN; CONTAMINATION; GEOCHEMISTRY; AQUIFER; MATTER; AREA;
D O I
10.1016/j.scitotenv.2022.159415
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Excess fluoride (F-) in groundwater can be hazardous to human health. A total of 360 ground water samples was col-lected from northern Anhui, China, to study the levels, distribution, and source of F-. And on this basis, predicting the spatial distribution of F- in a wider scale space. The range of F- was 0.1-5.8 mg/L, with a mean value of 1.2 mg/L, and 26.4 % of the samples exceeded the acceptable level of 1.5 mg/L. Moreover, the water-rock interaction (fluorite dissolution) and cation alternate adsorption were considered to be two main driving factors of high F- in groundwater. To further illustrate the spatial effects, the BME-RF model was established by combining the main environmental factors. The spatial distribution of F- was quantitatively predicted, and the response to environmental variables was analyzed. The R2 of BME-RF model reached 0.93, the prediction results showed that the region with 1.0-1.5 mg/L of F- accounts for 47.2 % of the total area. The predicted F- content of nearly 70 % of groundwater in this area has exceeded 1.0 mg/L, which was dominated by Na+ and HCO3- type. The spatial variability of F-in the study area was mainly affected by hydrogeological conditions, and the vertical distribution characteristics were re-lated to the spatial variation of slope, distance from runoff, and hydrochemical types. The results of the study provide new insights into the F- concentration prediction in underground environment, especially in the borehole gap area.
引用
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页数:12
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