Journal of Guangxi Normal University(Natural Science Edition) ›› 2020, Vol. 38 ›› Issue (6): 102-113.doi: 10.16088/j.issn.1001-6600.2020.06.012

Previous Articles     Next Articles

Pollution Characteristics and Health Risk Assessment of Volatile Organic Compounds of Typical Karst Groundwater Source in North China

GUO Yongli1,2*, QUAN Xiqiang1, WU Qing1   

  1. 1. Institute of Karst Geology, Chinese Academy of Geological / Key Laboratory of Karst Dynamics, Ministry of Natural Resources and Guangxi, Guilin Guangxi 541004, China;
    2. International Research Center on Karst Under the Auspices ofUnited Nations Educational, Scientific and Cultural Organization, Guilin Guangxi 541004, China
  • Received:2019-10-15 Published:2020-11-30

Abstract: In order to study pollution characteristics of volatile organic compounds (VOCs) and their health risk assessment on humans in karst groundwater located in Linzi distinct, Zibo city, Shandong province, 19 groundwater samples were collected, 54 VOCs were analyzed. Detection rate, spatial distribution characteristics and influencing factors of VOCs in karst groundwater were analyzed by using mathematical statistics method and graphical method based on the GIS platform and SPSS software. Not cancer risk (NCR) and Incremental lifetime cancer risk (ILCR) of VOCs of drinking the karst groundwater were calculated by the model recommended by United States Environmental Protection Agency (US EPA). VOCs could be detected in 16 sample sites in the study areas, there were 20 VOCs existing the groundwater samples. The highest detection rate of a VOC was 68.42%. Trichloromethane had the highest concentration of 404.00 μg/L. Concentrations of 1,1-dichloroethane, trichloromethane, carbon tetrachloride, trichloroethylene in the D-8 site and trichloroethylene in the D-6 were higher than drinking water criterion of China or WHO. Spatial distribution of VOCs in groundwater had close correlation with chemical factories, groundwater flow field, landuse, human activities and others. The results showed that the maximum cancerous risk indexes along the two groundwater flow paths exceed the US EPA’s recommended risk index (10-6), the maximum cancerous risk index and noncancerous risks index exceeded the 10-4 and 1 (US EPA’s accepted standard) in the centralized chemical factories along the one groundwater flow path . Therefore, more attention should be paid to optimize groundwater environment and prevent further deterioration of groundwater quality, in order to ensure the safely drinking water sources and sustainable development of karst groundwater in Linzi distinct, Zibo city, Shandong province.

Key words: katst groundwater, volatile organic compounds, spatial distribution characteristics, influencing factors, health risk assessment, Zibo, Shandong, China

CLC Number: 

  • P641
[1] PAVLOVSKIY I, SELLE B. Integrating hydrogeochemical, hydrogeological, and environmental tracer data to understand groundwater flow for a karstified aquifer system[J]. Ground Water, 2015, 53(1): 156-165.
[2] 韩行瑞. 岩溶水文地质学[M]. 北京: 科学出版社, 2015: 16-20.
[3] 潘晓东, 尹学灵, 唐健生, 等. 寨底地下河系统脆弱性评价指标体系及方法[J]. 广西师范大学学报(自然科学版), 2014, 32(3):168-174.
[4] 袁道先, 蒋勇军, 沈立成, 等. 现代岩溶学[M]. 北京: 科学出版社, 2016: 104-105.
[5] 吴庆, 郭永丽, 翟远征, 等. 大武水源地地下水中NO3-N动态变化特征及其影响因素分析[J]. 水文, 2017, 37(6): 68-73.
[6] 郭永丽, 吴庆, 翟远征, 等. 某水源地地下水中石油类有机污染特征[J]. 人民黄河, 2018, 40(10): 61-65, 81.
[7] 刘姝媛. 大武地下水水源地污染风险动态评价研究[D]. 北京: 北京师范大学, 2016.
[8] 江梅, 邹兰, 李晓倩, 等. 我国挥发性有机物定义和控制指标的探讨[J]. 环境科学, 2015, 36(9): 3522-3532.
[9] LI Z K, CHANG F Y, SHI P, et al. Occurrence and potential human health risks of semi-volatile organic compounds in drinking water from cities along the Chinese coastland of the Yellow Sea[J]. Chemosphere, 2018, 206(17): 655-662.
[10] LIU B H, CHEN L, HUANG L X, et al. Distribution of volatile organic compounds (VOCs) in surface water, soil, and groundwater within a chemical industry park in Eastern China[J]. Water Science and Technology, 2015, 71(2): 259-267.
[11] HUANG B B, LEI C, WEI C H, et al. Chlorinated volatile organic compounds (Cl-VOCs) in environment-sources, potential human health impacts, and current remediation technologies[J]. Environment International, 2014, 71(10): 118-138.
[12] 尚宇宁. 淄博市大武水源地岩溶水水位多年动态变化分析研究[J]. 山东国土资源, 2013, 29(9):44-47.
[13] 李沫蕊, 王韦舒, 任姝娟, 等. 运用改进综合评分法筛选典型污染物的研究:以大武水源地地下水典型污染物筛选为例[J]. 环境污染与防治, 2014, 36(11): 72-77.
[14] GUO Y L, ZHAI Y Z, WU Q, et al. Proposed APLIE method for groundwater vulnerability assessment in karst-phreatic aquifer, Shandong Province, China: a case study[J]. Environmental Earth Sciences, 2016, 75(2):112.
[15] GUO Y L, WU Q, LI C S, et al. Application of the risk-based early warning method in a fracture-karst water source, North China[J]. Water Environment Research, 2018, 90(3): 206-219.
[16] US EPA. Risk Assessment guidance for superfund: volume:Ⅰ human health evaluation manual[R]. Washington DC: Office of Superfund Remediation and Technology Innovation, U.S. Environmental Protection Agency, 2004.
[17] US EPA. Chemical-specific inputs for EPA's 2015 final updated human health ambient water quality criteria[R/OL]. Washington DC: US EPA, 2015[2019-10-15]. http://www.epa.govwqchumanhealth-water-quality-criteria.
[18] 梁小明, 张嘉妮, 陈小方, 等. 我国人为源挥发性有机物反应性排放清单[J]. 环境科学, 2017, 38(3): 845-854.
[19] 昌盛, 赵兴茹, 刘琰, 等. 滹沱河冲洪积扇地下水中挥发性有机物的分布特征与健康风险[J]. 环境科学研究, 2016, 29(6): 854-862.
[20] LAN F N, QIN X Q, JIANG Z C, et al. Influences of land use/land cover on hydrogeochemical indexes of karst groundwater in the Dagouhe Basin, Southwest China[J]. Clean—Soil Air Water, 2015, 43(5): 683-689.
[21] JIANG Y J, CAO M, YUAN D X, et al. Hydrogeological characterization and environmental effects of the deteriorating urban karst groundwater in a karst trough valley: Nanshan, SW China[J]. Hydrogeology Journal, 2018, 26(5): 1487-1497.
[22] CATER J M, MORAN M J, ZOGORSKI J S, et al. Factors associated with sources, transport, and fate of chloroform and three other trihalomethanes in untreated groundwater used for drinking water[J]. Environmental Science and Technology, 2012, 46(15): 8189-8197.
[23] MARIĆ N, MATIĆ I, PAPIĆ P, et al. Natural attenuation of petroleum hydrocarbons—a study of biodegradation effects in groundwater(Vitanovac, Serbia)[J]. Environmental Monitoring and Assessment, 2018, 190(2): 89.
[24] APPELO C A J, POSTMA D. Geochemistry, groundwater and pollution[M]. Leiden: Balkema Press, 2005.
[25] SQUILLACE P J, MORAN M J. Factors Associated with sources, transport, and fate of volatile organic compounds and their mixtures in aquifers of the United States[J]. Environmental Science and Technology, 2007, 41(7): 2123-2130.
[26] 国家标准化管理委员会. 生活饮用水卫生标准: GB 5749-2006[S]. 北京: 中国标准出版社, 2007.
[27] World Health Organization. Guidelines for drinking-water quality[R]. Genera: WHO Press, 2011.
[28] 李丽, 许秋瑾, 梁存珍, 等. 江苏某县乡镇饮用水中挥发性有机物的检测及其风险评价[J]. 中国环境监测, 2013, 29(4): 1-4.
[29] 张春艳, 高柏, 郭亚丹, 等. 鄱阳湖区域地下水有机污染物特征与风险评价[J]. 生态毒理学报, 2016, 11(2): 524-530.
[30] HAN L, QIAN L B, YAN J C, et al. A comparison of risk modeling tools and a case study for human health risk assessment of volatile organic compounds in contaminated groundwater[J]. Environmental Science and Pollution Research, 2016, 23(2): 1234-1245.
[1] PENG Limei, ZHAO Li, ZHOU Wu, HU Yueming. Risk Assessment of Heavy Metals in Cultivated Land in Conghua District of Guangzhou City, China [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(5): 118-129.
[2] XIE Hai,CHEN Liang,HUANG Haiyan,HE Nan,LIU Haiyang,WU Zhengjun. Research on Movement Pattern and the Influencing Factors of Shinisaurus crocodilurus in the Luokeng Nature Reserve, Guangdong, China [J]. Journal of Guangxi Normal University(Natural Science Edition), 2017, 35(4): 106-113.
[3] LI Jianhong, MENG Xinyuan, ZHAI Luxin, WANG Yue. Analysis of the Trend of Extreme Continuous Precipitation underClimate Change Condition in Guangxi,China, from 1951 to 2006 [J]. Journal of Guangxi Normal University(Natural Science Edition), 2016, 34(1): 187-196.
[4] SHEN Li-bing, HUANG Da-rong, CHU Xiao-yan, ZHAO Ling. Influencing Factors of Road Network's Vulnerability Based on Three-dem Arcation Analytic Hierarchy Process [J]. Journal of Guangxi Normal University(Natural Science Edition), 2013, 31(4): 54-59.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] XU Jianmin, WEI Jia, SHOU Yanfang. Comprehensive Evaluation of Urban Road Traffic Operation StatusBased on Game Theory-Cloud Model[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(4): 1 -10 .
[2] ZHANG Canlong, LI Yanru, LI Zhixin, WANG Zhiwen. Block Target Tracking Based on Kernel Correlation Filter and Feature Fusion[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(5): 12 -23 .
[3] XU Lunhui, CAO Yuchao, LIN Peiqun. Location and Dispatching of Multiple Emergency Materials Center Based on Fusion Immune Optimization and Genetic Algorithm[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 1 -13 .
[4] HU Jinming, WEI Duqu. Research on Generalized Sychronization of Fractional-order PMSM[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 14 -20 .
[5] ZHU Yongjian, LUO Jian, QIN Yunbai, QIN Guofeng, TANG Chuliu. A Method for Detecting Metal Surface Defects Based on Photometric Stereo and Series Expansion Methods[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 21 -31 .
[6] TANG Rongchai, WU Xiru. Real-time Detection of Passion Fruit Based on Improved YOLO-V3 Network[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 32 -39 .
[7] ZHANG Ruchang, QIU Jie, WANG Mingtang, CHEN Qingfeng. Classification of Protein 3D Structure Based on Adaptive Local Features[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 40 -50 .
[8] CHEN Dong, HU Kui. Cover Gorenstein AC-flat Dimensions[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 51 -55 .
[9] ZUO Jiabin, YUN Yongzhen. Anti-periodic Boundary Value Problem for a Class of Fractional Differential Equations[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 56 -64 .
[10] WANG Yue, YE Hongyan, LEI Jun, SUO Hongmin. Infinitely Many Classical Solutions for Kirchhoff Type Problem with Linear Term[J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 65 -73 .