Source apportionment and health risk assessment of chemicals of concern in soil, water and sediment at a large strontium slag pile area

被引:30
作者
Ding, Da [1 ]
Kong, Lingya [1 ]
Jiang, Dengdeng [1 ]
Wei, Jing [1 ]
Cao, Shaohua [1 ]
Li, Xuwei [1 ]
Zheng, Liping [1 ]
Deng, Shaopo [1 ]
机构
[1] Minist Ecol & Environm, State Environm Protect Key Lab Soil Environm Mana, Nanjing Inst Environm Sci, Nanjing 210046, Peoples R China
关键词
Chongqing; Nemerow index; Positive matrix factorization; Monte Carlo simulation; POTENTIALLY TOXIC ELEMENTS; SOURCE IDENTIFICATION; DRINKING-WATER; HEAVY-METALS; POLLUTION; EARTH;
D O I
10.1016/j.jenvman.2021.114228
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Strontium (Sr) is an alkaline earth metal that has adverse effects on bone tissue, but received little attention compared to other often-studied metals. This study analyzed the contents/concentrations of Sr, barium (Ba), sulfate (SO42- ), sulfide (S2-), and six common metals in 209 multi-media samples, including slag, soil, groundwater, surface water, and sediment, collected at a large Sr slag pile area. Sr was the dominant chemical of concern (COC) in the soil and groundwater, with contents/concentrations being 35.50-32200 mg/kg and 0.57-152 mg/L, respectively, much higher than those reported in previous research. Contents/concentrations of all COCs in the surface water and sediment were relatively low, except Sr content in the sediment near the slag pile. The LogKd value of Sr was calculated to be lower than those of common metals, indicating relatively high mobility of Sr in the aquatic environment. Contamination assessment using Nemerow index indicated near half of the soil and groundwater sampling locations, especially those within and near the slag pile, were heavily contaminated, and Sr was the dominant COC. The positive matrix factorization model suggested four sources for the COCs in soil, including Sr slag pile/SrCO3 production, agricultural activities, industrial activities, and natural sources, with contribution rates of 66.88%, 5.28%, 7.5%, and 20.34%, respectively. Monte Carlo simulationbased probabilistic health risk assessment revealed that the non-carcinogenic risk of groundwater, and the carcinogenic risk of soil and groundwater, were unacceptable. Notably, Sr was the unique COC posing noncarcinogenic risk among the COCs studied. Our results provide the scientific support needed for managing Sr point source impacted area.
引用
收藏
页数:10
相关论文
共 58 条
[1]   Barium as a Potential Indicator of Phosphorus in Agricultural Runoff [J].
Ahlgren, Joakim ;
Djodjic, Faruk ;
Wallin, Mats .
JOURNAL OF ENVIRONMENTAL QUALITY, 2012, 41 (01) :208-216
[2]  
Alderton D., 2021, ENCY GEOLOGY, P413, DOI [10.1016/B978-0-08-102908-4.00171-5, DOI 10.1016/B978-0-08-102908-4.00171-5]
[3]  
Allison J.D., 2005, Rep. EPA/600/R-05, P74
[4]   DISTRIBUTION COEFFICIENTS OF CD, CO, NI, AND ZN IN SOILS [J].
ANDERSON, PR ;
CHRISTENSEN, TH .
JOURNAL OF SOIL SCIENCE, 1988, 39 (01) :15-22
[5]  
[Anonymous], 2019, GUIDELINES CANADIAN
[6]   Geochemical characteristics, partitioning, quantitative source apportionment, and ecological and health risk of heavy metals in sediments and water: A case study in Shadegan Wetland, Iran [J].
Ashayeri, Nasrin Yavar ;
Keshavarzi, Behnam .
MARINE POLLUTION BULLETIN, 2019, 149
[7]   Characterization and source apportionment of heavy metals in the sediments of Lake Tai (China) and its surrounding soils [J].
Chen, Ruihui ;
Chen, Haiyang ;
Song, Liuting ;
Yao, Zhipeng ;
Meng, Fansheng ;
Teng, Yanguo .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 694
[8]  
[成杭新 Cheng Hangxin], 2014, [地学前缘, Earth Science Frontiers], V21, P265
[9]   Geographic distribution of heavy metals and identification of their sources in soils near large, open-pit coal mines using positive matrix factorization [J].
Cheng, Wei ;
Lei, Shaogang ;
Bian, Zhengfu ;
Zhao, Yibo ;
Li, Yuncong ;
Gan, Yandong .
JOURNAL OF HAZARDOUS MATERIALS, 2020, 387
[10]   Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region [J].
Dong, Bo ;
Zhang, Renzhi ;
Gan, Yandong ;
Cai, Liqun ;
Freidenreich, Ariel ;
Wang, Kepeng ;
Guo, Tianwen ;
Wang, Hongbin .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 651 :3127-3138