1. College of Earth Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China 2. College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China 3. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China 4. Department of Resource and Civil Engineering, Shandong University of Science and Technology, Tai’an 271019, China
● High fluorine is mainly HCO3·Cl-Na and HCO3-Na type.
● F− decreases with the increase of depth to water table.
● High fluoride is mainly affected by fluorine-containing minerals and weak alkaline.
● Fluorine pollution is mainly in the north near Laizhou Bay (wet season > dry season).
● Groundwater samples have a high F− health risk (children > adults).
Due to the unclear distribution characteristics and causes of fluoride in groundwater of Mihe-Weihe River Basin (China), there is a higher risk for the future development and utilization of groundwater. Therefore, based on the systematic sampling and analysis, the distribution features and enrichment mechanism for fluoride in groundwater were studied by the graphic method, hydrogeochemical modeling, the proportionality factor between conventional ions and factor analysis. The results show that the fluorine content in groundwater is generally on the high side, with a large area of medium-fluorine water (0.5–1.0 mg/L), and high-fluorine water is chiefly in the interfluvial lowlands and alluvial-marine plain, which mainly contains HCO3·Cl-Na- and HCO3-Na-type water. The vertical zonation characteristics of the fluorine content decrease with increasing depth to the water table. The high flouride groundwater during the wet season is chiefly controlled by the weathering and dissolution of fluorine-containing minerals, as well as the influence of rock weathering, evaporation and concentration. The weak alkaline environment that is rich in sodium and poor in calcium during the dry season is the main reason for the enrichment of fluorine. Finally, an integrated assessment model is established using rough set theory and an improved matter element extension model, and the level of groundwater pollution caused by fluoride in the Mihe-Weihe River Basin during the wet and dry seasons in the Shandong Peninsula is defined to show the necessity for local management measures to reduce the potential risks caused by groundwater quality.
. [J]. Frontiers of Environmental Science & Engineering, 2023, 17(6): 70.
Xingyue Qu, Peihe Zhai, Longqing Shi, Xingwei Qu, Ahmer Bilal, Jin Han, Xiaoge Yu. Distribution, enrichment mechanism and risk assessment for fluoride in groundwater: a case study of Mihe-Weihe River Basin, China. Front. Environ. Sci. Eng., 2023, 17(6): 70.
Classifications of fluorine content in groundwater (mg/L)
Total
Low fluorine water(F?<0.50)
Medium fluorine water(0.50≤F?≤1.00)
High fluorine water(F?>1.00)
Wet season
Numbers
35.00
38.00
14.00
87.00
Min/Max
0.22/0.49
0.50/0.94
1.09/8.49
0.22/8.49
Mean
0.38
0.62
2.29
0.79
Std.
0.07
0.11
1.90
1.00
Dry season
Numbers
65.00
19.00
8.00
92.00
Min/Max
0.19/0.49
0.50/0.92
1.09/6.48
0.19/6.48
Mean
0.32
0.67
2.35
0.57
Std.
0.07
0.14
1.87
0.78
Tab.2
Fig.2
Fig.3
Fig.4
Fig.5
Fig.6
Fig.7
Indices
Wet season Principal components
Dry season Principal components
1
2
1
2
Ca2+ (mg/L)
?0.859
?0.028
?0.263
0.808
pH
0.834
0.165
?0.158
?0.633
F? (mg/L)
0.679
0.471
0.685
?0.490
HCO3? (mg/L)
0.128
0.803
0.840
0.031
Mg2+ (mg/L)
?0.493
0.686
0.391
0.686
Na+ (mg/L)
0.520
0.676
0.776
0.095
Ground height (m)
?0.276
?0.438
?0.549
?0.166
Eigenvalue
3.015
1.498
2.326
1.802
Variance contribution (%)
35.732
28.739
33.220
25.743
Accumulating contribution rate (%)
35.732
64.471
33.220
58.963
Tab.3
Fig.8
Fig.9
Fig.10
Indexes
Pollution degree
Level 1
Level 2
Level 3
Level 4
Level 5
Level 6
wet season
dry season
wet season
dry season
wet season
dry season
wet season
dry season
wet season
dry season
wet season
dry season
CF
0.065
?0.046
?0.065
0.108
0.170
0.417
0.524
0.880
EF
0.999
0.013
0.998
0.012
0.995
0.011
0.979
0.002
0.959
?0.002
0.000
0.009
Igeo
0.019
?0.312
?0.019
1.100
0.381
1.574
0.781
2.048
Tab.4
Indexes
Season
CF
Wet season
0.908
0.325
Dry season
0.935
0.335
EF
Wet season
0.977
0.350
Dry season
0.967
0.346
Igeo
Wet season
0.908
0.325
Dry season
0.891
0.319
Tab.5
Fig.11
Fig.12
Fig.13
1
S K Andezhath , A K Susheela , G Ghosh . (1999). Fluorosis management in India: the impact due to networking between health and rural drinking water supply agencies. IAHS-AISH Publication, 260: 159–165
2
V Antoniadis , E E Golia , Y T Liu , S L Wang , S M Shaheen , J Rinklebe . (2019). Soil and maize contamination by trace elements and associated health risk assessment in the industrial area of Volos, Greece. Environment International, 124: 79–88 https://doi.org/10.1016/j.envint.2018.12.053
3
S Ayoob , A K Gupta . (2006). Fluoride in drinking water: a review on the status and stress effects. Critical Reviews in Environmental Science and Technology, 36(6): 433–487 https://doi.org/10.1080/10643380600678112
4
Y Q Cao , Y J Bian . (2021). Improving the ecological environmental performance to achieve carbon neutrality: The application of DPSIR-improved matter-element extension cloud model. Journal of Environmental Management, 293: 112887 https://doi.org/10.1016/j.jenvman.2021.112887
5
M Chakravarty , A D Patgiri . (2009). Metal pollution assessment in sediments of the Dikrong River, NE India. Journal of Human Ecology (Delhi, India), 27(1): 63–67 https://doi.org/10.1080/09709274.2009.11906193
6
H Y ChenY G TengS J LuY Y WangJ S (2015) Wang. Contamination features and health risk of soil heavy metals in China. Science of the Total Environment, 512-513: 143-153 doi:10.1016/j.scitotenv.2015.01.025
7
T Chernet , Y Travi , V Valles . (2001). Mechanism of degradation of the quality of natural water in the lakes region of the Ethiopian rift valley. Water Research, 35(12): 2819–2832 https://doi.org/10.1016/S0043-1354(01)00002-1
8
P Dang , X Gu , C Y Lin , M Xin , H Zhang , W Ouyang , X T Liu , M C He , B D Wang . (2021). Distribution, sources, and ecological risks of potentially toxic elements in the Laizhou Bay, Bohai Sea: under the long-term impact of the yellow river input. Journal of Hazardous Materials, 413(3): 125429 https://doi.org/10.1016/j.jhazmat.2021.125429
9
R Dehbandi , F Moore , B Keshavarzi . (2018). Geochemical sources, hydrogeochemical behavior, and health risk assessment of fluoride in an endemic fluorosis area, central Iran. Chemosphere, 193: 763–776 https://doi.org/10.1016/j.chemosphere.2017.11.021
10
E De Miguel , I Iribarren , E Chacon , A Ordonez , S Charlesworth . (2007). Risk-based evaluation of the exposure of children to trace elements in playgrounds in Madrid (Spain). Chemosphere, 66(3): 505–513 https://doi.org/10.1016/j.chemosphere.2006.05.065
11
J Y Du , D S Wu , H Y Xiao , P Li . (2011). Adsorption of fluoride on clay minerals and their mechanisms using X-ray photoelectron spectroscopy. Frontiers of Environmental Science & Engineering, 5(2): 212–226 https://doi.org/10.1007/s11783-010-0255-5
12
M EgliA MirabellaP (2001) Fitze. Clay mineral transformations in soils affected by fluorine and depletion of organic matter within a time span of 24 years. Geoderma, 103 (s3–4): 3–4
13
M Gholizadeh , R Patimar . (2018). Ecological risk assessment of heavy metals in surface sediments from the Gorgan Bay, Caspian Sea. Marine Pollution Bulletin, 137: 662–667 https://doi.org/10.1016/j.marpolbul.2018.11.009
14
L Hakanson . (1980). An ecological risk index for aquatic pollution control, a sedimentological approach. Water Research, 14(8): 975–1001 https://doi.org/10.1016/0043-1354(80)90143-8
15
G Jacks , P Bhattacharya , V Chaudhary , K P Singh . (2005). Controls on the genesis of some high-fluoride groundwaters in India. Applied Geochemistry, 20(2): 221–228 https://doi.org/10.1016/j.apgeochem.2004.07.002
16
T Jayarathne , C E Stockwell , R J Yokelson , S Nakao , E A Stone . (2014). Emissions of fine particle fluoride from biomass burning. Environmental Science & Technology, 48(21): 12636–12644 https://doi.org/10.1021/es502933j
17
H F Jia , S D Liang , Y S Zhang . (2015). Assessing the impact on groundwater safety of inter-basin water transfer using a coupled modeling approach. Frontiers of Environmental Science & Engineering, 9(1): 84–95 https://doi.org/10.1007/s11783-014-0741-2
18
P Kharb , A K Susheela . (1994). Fluoride ingestion in excess and its effect on organic and certain inorganic constituents of soft tissues. Medical Science Research, 22: 43–44
19
X Q Li , X W Hou , Z C Zhou , L X Liu . (2011). Geochemical provenance and spatial distribution of fluoride in groundwater of Taiyuan basin, China. Environmental Earth Sciences, 62(8): 1635–1642 https://doi.org/10.1007/s12665-010-0648-6
20
T Liaghati , M Preda , M Cox . (2004). Heavy metal distribution and controlling factors within coastal plain sediments, Bells Creek catchment, southeast Queensland, Australia. Environment International, 29(7): 935–948 https://doi.org/10.1016/S0160-4120(03)00060-6
21
L Q (2009) Lin. Application of toxicological safety evaluation data to calculate Toxicity Coefficient of heavy metals. Beijing: Energy Resources and Environment Professional Council of All-China Environment Federation, 60–63 (in Chinese)
22
X L LvJ T LiuL ZhuY X ZhangH J (2020) Li. Evolution feature and gensis of fluoride groundwater in shallow aquifer from Qin Wangchuan basin. Ganhanqu Ziyuan Yu Huanjing, 34(03): 188-195 (in Chinese)
23
Z M Ma , J S Mi , Y T Lin , J J Li . (2022). Boundary region-based variable precision covering rough set models. Information Sciences, 608: 1524–1540 https://doi.org/10.1016/j.ins.2022.07.048
24
D B Mooreb , D Levya . (2004). The shallow ground water chemistry of arsenic, fluorine, and major elements: Eastern Owens Lake, California. Applied Geochemistry, 14(1): 53–65
25
G Muller . (1969). Index of geoaccumulation in sediments of the Rhine River. GeoJournal, 2: 108–118
K S Pillai , V A Stanley . (2002). Implications of fluoride-an endless uncertainty. Journal of Environmental Biology, 23: 81–87
28
J L Qiao , Z M Cui , Y K Sun , Q H Hu , X H Guan . (2014). Simultaneous removal of arsenate and fluoride from water by Al-Fe (hydr)oxides. Frontiers of Environmental Science & Engineering, 8(2): 169–179 https://doi.org/10.1007/s11783-013-0533-0
29
D V ReddyP NagabhushanamB S SukhijaA G S ReddyP L (2010) Smedley. Fluoride dynamics in the granitic aquifer of the Wailapally watershed, Nalgonda District, India. Chemical Geology, 269(3-4): 278-289 doi:10.1016/j.chemgeo.2009.10.003
30
J Rinklebe , V Antoniadis , S M Shaheen , O Rosche , M Altermann . (2019). Health risk assessment of potentially toxic elements in soils along the Central Elbe River, Germany. Environment International, 126: 76–88 https://doi.org/10.1016/j.envint.2019.02.011
31
A Sawassi , G Ottomano Palmisano , B Crookston , R Khadra . (2022). The dominance-based rough set approach for analysing patterns of flexibility allocation and design-cost criteria in large-scale irrigation systems. Agricultural Water Management, 272: 107842 https://doi.org/10.1016/j.agwat.2022.107842
32
(1989) USEPA. Risk assessment guidance for Superfund human health evaluation manual (Part A). I. Office of Emergency and Remedial Response. Washington, DC: U.S. Environmental Protection Agency
33
(1993) USEPA. Reference dose (RfD): description and use in health risk assessments. Background Document 1 A. Integrated Risk Information System (IRIS). Washington, DC: U.S. Environmental Protection Agency
34
(1997) USEPA. Exposure factors handbook. Volume 1: General Factors. Washington, DC: U.S. Environmental Protection Agency, Office of Research and Development
35
(2002a) USEPA. Child-specific exposure factors handbook. EPA-600-P-00-002B. Washington, DC: National Center for Environmental Assessment, U.S. Environmental Protection Agency
36
(2002b) USEPA. Supplemental guidance for developing soil screening levels for Superfund sites. Washington, DC: U.S. Environmental Protection Agency
37
Y L Wang , F Li , J L Yang , M H Zhou , F H Song , D Y Zhang , L Xue , J R Zhu . (2020). Demand response evaluation of RIES based on improved matter-element extension model. Energy, 212: 118121 https://doi.org/10.1016/j.energy.2020.118121
38
Health Organization (1993) World. Guidelines for drinking water quality, vol. I. Recommendations, 2nd edition. Geneva: WHO
39
B Wu , D Y Zhao , H Y Jia , Y Zhang , X X Zhang , S P Cheng . (2009). Preliminary risk assessment of trace metal pollution in surface water from Yangtze River in Nanjing Section, China. Bulletin of Environmental Contamination and Toxicology, 82(4): 405–409 https://doi.org/10.1007/s00128-008-9497-3
40
W (2015) Xue. Statistical Analysis and the Applications of SPSS. Beijing: China Renmin University Press (in Chinese)
41
Y J Yi , Z F Yang , S H Zhang . (2011). Ecological risk assessment of heavy metals in sediment and human health risk assessment of heavy metals in fishes in the middle and lower reaches of the Yangtze River basin. Environmental Pollution, 159(10): 2575–2585 https://doi.org/10.1016/j.envpol.2011.06.011
42
Z Y Yin , Q Lin , S H Xu . (2021). Using hydrochemical signatures to characterize the long-period evolution of groundwater information in the Dagu River Basin, China. Frontiers of Environmental Science & Engineering, 15(5): 105 https://doi.org/10.1007/s11783-021-1393-7
43
L Yu , J J Zhang , C F Du , H B Yang , B C Ye . (2018). Distribution and pollution evaluation of fluoride in a soil-water-plant system in Shihezi, Xinjiang, China. Human and Ecological Risk Assessment, 24(2): 445–455 https://doi.org/10.1080/10807039.2017.1385386
44
Y Zhang , Z Peng , Z M Dong , M J Wang , C Jiang . (2022). Twenty years of achievements in China’s implementation of the Stockholm Convention. Frontiers of Environmental Science & Engineering, 16(12): 152 https://doi.org/10.1007/s11783-022-1587-7