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蔡永兵, 孙延康, 孟凡德, 索改弟, 李飞跃, 范行军, 张华. 典型金矿区入湾河流重金属的时空分布特征及风险评价[J]. 环境化学, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
引用本文: 蔡永兵, 孙延康, 孟凡德, 索改弟, 李飞跃, 范行军, 张华. 典型金矿区入湾河流重金属的时空分布特征及风险评价[J]. 环境化学, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
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CAI Yongbing, SUN Yankang, MENG Fande, SUO Gaidi, LI Feiyue, FAN Xingjun, ZHANG Hua. Spatial-temporal distribution characteristics and risk assessment of heavy metals in a river flowing into the bay in a typical gold mining area[J]. Environmental Chemistry, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
Citation: CAI Yongbing, SUN Yankang, MENG Fande, SUO Gaidi, LI Feiyue, FAN Xingjun, ZHANG Hua. Spatial-temporal distribution characteristics and risk assessment of heavy metals in a river flowing into the bay in a typical gold mining area[J]. Environmental Chemistry, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
shu

典型金矿区入湾河流重金属的时空分布特征及风险评价

  • 1. 安徽科技学院资源与环境学院, 凤阳, 233100;

  • 2. 山东省烟台生态环境监测中心, 烟台, 264000;

  • 3. 中国科学院烟台海岸带研究所, 海岸带环境过程与生态修复重点实验室, 烟台, 264003

    • 通讯作者: 张华, E-mail: hzhang@yic.ac.cn
  • 基金项目:

    国家自然科学基金（41907137，41671473），安徽省自然科学基金（1808085QD110，1908085QD166）和安徽省高校自然基金重点项目（KJ2020A0051）资助.

Spatial-temporal distribution characteristics and risk assessment of heavy metals in a river flowing into the bay in a typical gold mining area

  • 1. College of Resource and Environment, Anhui Science and Technology University, Fengyang, 233100, China;

  • 2. Shandong Yantai Ecological Environment Monitoring Center, Yantai, 264000, China;

  • 3. Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China

    • Corresponding author: ZHANG Hua, hzhang@yic.ac.cn
  • Fund Project: Supported by National Natural Science Foundation of China(41907137,41671473),Anhui Provincial Natural Science Foundation, China(1808085QD110,1908085QD166) and Natural Science Foundation of Anhui Provincial Department of Education, China(KJ2020A0051).

  • 摘要: 为研究典型金矿区入湾河流重金属的污染特征并提出针对性修复措施，于2014-2016年4次采样分析了界河河水和表层沉积物中4种重金属（Zn、As、Cd和Pb）的含量水平、赋存形态及时空分布特征，并采用内梅罗综合污染指数法和风险评价编码法对表层沉积物中重金属的污染程度和生态风险进行了评价.结果表明，界河河水中Zn、As和Cd均有多个点位超过我国地表水环境质量标准Ⅲ类标准限值，而Pb并未超标.界河上游化工厂、中游国大冶金集团尾矿库以及金翅岭金矿是3个主要污染源.河道整治后，界河河水水质并未得到有效改善，仍需开展针对3个主要污染源的污染修复工作.界河沉积物中重金属Zn、As、Cd和Pb含量范围分别为218-5878、17-4177、1-67、35-974 mg·kg-1.连续提取实验结果显示，Zn和Cd的弱酸提取态含量均高于60%，As和Pb的形态分布沿程变化较大，主要是可还原态和残渣态.污染程度和风险评价结果表明，11个采样点沉积物全部属于重污染水平.Zn和Cd的风险等级最高，有4个采样点Zn和Cd处于极高风险水平，As和Pb在绝大部分样点处于低风险水平，因此应重点针对重金属Zn和Cd污染开展修复工作.
    Abstract: In order to study the pollution characteristics of heavy metals in Jiehe River in a typical gold mining area and propose targeted remediation measures, four sampling surveys were conducted from 2014 to 2016 to analyze the content, occurrence forms and spatial-temporal distribution characteristics of four heavy metals (Zn, As, Cd and Pb) in river water and surface sediments. The pollution levels and ecological risks of the surface sediments were evaluated using the Nemero comprehensive pollution index method and risk assessment coding method. Results showed that the concentrations of Zn, As and Cd of some sampling sites exceeded the national standards of surface water environment quality standard Ⅲ class limits, and Pb concentrations were lower than the limits. Three main pollution sources were identified along the Jiehe river, including the upstream chemical plant, the midstream Guoda Metallurgical Group tailings pond and the Jinchiling gold mine. The water quality of the Jiehe river has not been improved after the river regulation. Therefore, it is necessary to take corresponding measures to repair the three main pollution sources. The contents of Zn, As, Cd and Pb in the sediments were 218-5878, 17-4177, 1-67 and 35-974 mg·kg-1, respectively. The content of weak acid extracted form of Zn and Cd were above 60%, while the speciation distributions of As and Pb varies greatly along the river, mainly in reducible and residual forms. The results of pollution level and risk assessment showed that the sediments in the 11 sampling sites were all heavily polluted. Among the four heavy metals, Zn and Cd have the highest risk level, in 4 sample points Zn and Cd at an extremely high risk level, and As and Pb at a low risk level in most of the sample points. Therefore, pollution remediation should be focused on Zn and Cd pollution.
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  • [1] YARAGHI N, RONKANEN A K, TORABI H A, et al. Impacts of gold mine effluent on water quality in a pristine sub-Arctic river[J]. Journal of Hydrology, 2020, 589:125170.
    [2] ZHAO X L, HE B H, WU H Y, et al. A comprehensive investigation of hazardous elements contamination in mining and smelting-impacted soils and sediments[J]. Ecotoxicology and Environmental Safety, 2020, 192:110320.
    [3] CHEN M, LI F, TAO M, et al. Distribution and ecological risks of heavy metals in river sediments and overlying water in typical mining areas of China[J]. Marine Pollution Bulletin, 2019, 146:893-899.
    [4] 温其谦, 阎秀兰, 申俊峰, 等. 半壁山金矿矿业活动区砷赋存的矿物特征及其对农田土壤砷累积的影响[J]. 环境科学, 2019, 40(11):5090-5097.

    WEN Q Q, YAN X L, SHEN J F, et al. Mineral characteristics of arsenic in the active area of the banbishan gold mine and its effect on arsenic accumulation in farmland soil[J]. Environmental Science, 2019, 40(11):5090-5097(in Chinese).

    [5] 党志, 姚谦, 李晓飞, 等. 矿区土壤中重金属形态分布的地球化学机制[J]. 矿物岩石地球化学通报, 2020, 39(1):1-11

    , 173. DANG Z, YAO Q, LI X F, et al. Geochemical constraints on heavy metal speciation and distribution in contaminated soils of mining areas[J]. Bulletin of Mineralogy, Petrology and Geochemistry, 2020, 39(1):1-11, 173(in Chinese).

    [6] 周艳, 万金忠, 李群, 等. 铅锌矿区玉米中重金属污染特征及健康风险评价[J]. 环境科学, 2020, 41(10):4733-4739.

    ZHOU Y, WAN J Z, LI Q, et al. Heavy metal contamination and health risk assessment of corn grains from a Pb-Zn mining area[J]. Environmental Science, 2020, 41(10):4733-4739(in Chinese).

    [7] 余志, 陈凤, 张军方, 等. 锌冶炼区菜地土壤和蔬菜重金属污染状况及风险评价[J]. 中国环境科学, 2019, 39(5):2086-2094.

    YU Z, CHEN F, ZHANG J F, et al. Contamination and risk of heavy metals in soils and vegetables from zinc smelting area[J]. China Environmental Science, 2019, 39(5):2086-2094(in Chinese).

    [8] WANG L, YIN X, GAO S, et al. In vitro oral bioaccessibility investigation and human health risk assessment of heavy metals in wheat grains grown near the mines in North China[J]. Chemosphere, 2020, 252:126522.
    [9] ARISEKAR U, SHAKILA R J, SHALINI R, et al. Human health risk assessment of heavy metals in aquatic sediments and freshwater fish caught from Thamirabarani River, the Western Ghats of South Tamil Nadu[J]. Marine Pollution Bulletin, 2020, 159:111496.
    [10] 王峰, 单睿阳, 陈玉真, 等. 闽中某矿区县茶园土壤和茶叶重金属含量及健康风险[J]. 中国环境科学. 2018, 38(3):1064-1072.

    WANG F, SHAN R Y, CHEN Y Z, et al. Concentrations and health risk assessment of heavy metals in tea garden soil and tea-leaf from a mine county in central Fujian province[J]. China Environmental Science, 2018, 38(3):1064-1072(in Chinese).

    [11] DEACOMN J R. Distribution of trace elements in streambed sediment associated with mining activities in the upper Colorado River basin, Coloardo, USA, 1995-1996[J]. Archives of Environmental Contamination and Toxicology, 1999, 37(1):7-18.
    [12] GRAHAM B, BREWER P A, MACKLIN M G, et al. Heavy metal contamination in the Arie river catchment, western Romania:Implications for development of the Roia Montanǎ gold deposit[J]. Joural of Geochemical Exploration, 2005, 86:26-48.
    [13] 余杨, 吕雅宁, 王伟杰, 等. 乐安河中下游重金属时空分布特征及风险评价[J]. 环境科学, 2020, 41(2):691-701.

    YU Y, LU Y N, WANG W J, et al. Spatio-temporal distribution and risk assessment of heavy metals in middle and lower reaches of Le'an River[J]. Environmental Science, 2020, 41(2):691-701(in Chinese).

    [14] WANG P, SUN Z, HU Y, et al. Leaching of heavy metals from abandoned mine tailings brought by precipitation and the associated environmental impact[J]. Science of The Total Environment, 2019, 695:133893.
    [15] PASCAUD G, BOUSSEN S, SOUBRAND M, et al. Particulate transport and risk assessment of Cd, Pb and Zn in a Wadi contaminated by runoff from mining wastes in a carbonated semi-arid context[J]. Journal of Geochemical Exploration, 2015, 152:27-36.
    [16] YAO Y, MI N, HE C, et al. Transport of arsenic loaded by ferric humate colloid in saturated porous media[J]. Chemosphere, 2020, 240:124987.
    [17] ZHANG H, YU J, ZHOU S. Spatial distribution of As, Cr, Pb, Cd, Cu, and Zn in the water and sediment of a river impacted by gold mining[J]. Mine Water and the Environment, 2014, 33(3):206-216.
    [18] CAI Y, MI Y, YU J, et al. Arsenic speciation and kinetic release simulation of stream sediment contaminated by gold mining[J]. Journal of Soils and Sediments, 2016, 16(3):1121-1129.
    [19] CAI Y, ZHANG H, YUAN G, et al. Sources, speciation and transformation of arsenic in the gold mining impacted Jiehe River, China[J]. Applied Geochemistry, 2017, 84:254-261.
    [20] 于靖, 张华, 蔡永兵, 等. 金矿污染河流的水体和沉积物中重金属分布特征及生态风险评价[J]. 环境污染与防治, 2015, 37(12):1-9.

    YU J, ZHANG H, CAI Y B, et al. Distribution and ecological risk of heavy metals in water and sediments of a river polluted by gold mining[J]. Environmental Pollution & Control, 2015, 37(12):1-9(in Chinese).

    [21] 姜时欣, 翟付杰, 张超, 等. 伊通河(城区段)沉积物重金属形态分布特征及风险评价[J]. 环境科学, 2020, 41(6):2653-2663.

    JIANG S X, ZHAI F J, ZHANG C, et al. Speciation distribution and risk assessment of heavy metals in sediments from Yitong River city area[J]. Environmental Science, 2020, 41(6):2653-2663(in Chinese).

    [22] NEMATI K, BAKAR N K A, ABAS M R, et al. Characteristic and evaluation of soil pollution by heavy metal in different functional zones of Hohhot[J]. Journal of Hazardous Materials, 2011, 192(1):402-410.
    [23] 郭伟, 孙文惠, 赵仁鑫, 等. 呼和浩特市不同功能区土壤重金属污染特征及评价[J]. 环境科学. 2013, 34(4):1561-1567.

    GUO W, SUN W H, ZHAO R X, et al. Characteristic and evaluation of soil pollution by heavy metal in different functional zones of Hohhot[J]. Environmental Science, 2013, 34(4):1561-1567(in Chinese).

    [24] 代杰瑞, 庞绪贵, 喻超, 等. 山东省东部地区土壤地球化学基准值与背景值及元素富集特征研究[J]. 地球化学, 2011, 40(6):577-587.

    DAI R J, PANG X G, YU C, et al. Geochemical baselines and background values and element enrichment characteristics in soils in eastern Shandong Province[J]. Geochimica, 2011, 40(6):577-587(in Chinese).

    [25] 陈明, 李凤果, 陶美霞, 等. 赣南典型矿区河流上覆水与表层沉积物重金属分布特征及风险评价[J]. 环境化学, 2019, 38(7):1461-1469.

    CHEN M, LI F G, TAO M X, et al. Distribution characteristics and risk assessment of heavy metals in overlying water and surface sediments in rivers in typical mining areas of southern Jiangxi Province[J]. Environmental Chemistry, 2019, 38(7):1461-1469(in Chinese).

    [26] 中华人民共和国生态环境部. 地表水环境质量标准(GB 3838-2002)[S]. 北京:中国环境科学出版社, 2002. Ministry of Ecology and Environment, PRC. Environmental quality standards for surface water(GB 3838-2002)[S]. Beijing:China Environmental Science Press, 2002

    (in Chinese).

    [27] SMEDLEY P L, KINNIBURGH D G. A review of the source, behaviour and distribution of arsenic in natural waters[J]. Applied Geochemistry, 2002, 17:517-568.
    [28] SHARMA V K,SOHN M. Aquatic arsenic:Toxicity,speciation,transformations,and remediation[J]. Environment International, 2009, 35:743-759.
    [29] 张国平. 贵州典型矿山的水环境地球化学特征[D]. 贵阳:中国科学院地球化学研究所, 2005. ZHANG G P. Water environmental geochemistry characteristics of typical mines in Guizhou Province[D]. Guiyang:Institute of Geochemistry, Chinese Academy of Sciences, 2005(in Chinese).
    [30] PENG L, SHI Z, WANG P, et al. A novel multi-reaction model for kinetics of Zn release from soils:Roles of soil binding sites[J]. Journal of Colloid and Interface Science, 2018, 514:146-155.
    [31] KROL A, MIZERNA K, BOZYM M. An assessment of pH-dependent release and mobility of heavy metals from metallurgical slag[J]. Journal of Hazardous Materials, 2020, 384:121502.
    [32] LOCKWOOD C L, MORTIMER R J G, STEWART D I, et al. Mobilisation of arsenic from bauxite residue (red mud) affected soils:Effect of pH and redox conditions[J]. Applied Geochemistry, 2014, 51:268-277.
    [33] WANG J,XU J,XIA J, et al. A kinetic study of concurrent arsenic adsorption and phosphorus release during sediment resuspension[J]. Chemical Geology, 2018, 495:67-75.
    [34] GAO X L, CHEN-CTUNG T A. Heavy metal pollution status in surface sediments of the coastal Bohai Bay[J]. Water Research, 2012, 46(6):1901-1911.
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  • 收稿日期:  2020-11-06
蔡永兵, 孙延康, 孟凡德, 索改弟, 李飞跃, 范行军, 张华. 典型金矿区入湾河流重金属的时空分布特征及风险评价[J]. 环境化学, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
引用本文: 蔡永兵, 孙延康, 孟凡德, 索改弟, 李飞跃, 范行军, 张华. 典型金矿区入湾河流重金属的时空分布特征及风险评价[J]. 环境化学, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
shu
CAI Yongbing, SUN Yankang, MENG Fande, SUO Gaidi, LI Feiyue, FAN Xingjun, ZHANG Hua. Spatial-temporal distribution characteristics and risk assessment of heavy metals in a river flowing into the bay in a typical gold mining area[J]. Environmental Chemistry, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
Citation: CAI Yongbing, SUN Yankang, MENG Fande, SUO Gaidi, LI Feiyue, FAN Xingjun, ZHANG Hua. Spatial-temporal distribution characteristics and risk assessment of heavy metals in a river flowing into the bay in a typical gold mining area[J]. Environmental Chemistry, 2021, (4): 1167-1178. doi: 10.7524/j.issn.0254-6108.2020110602
shu

典型金矿区入湾河流重金属的时空分布特征及风险评价

    通讯作者: 张华, E-mail: hzhang@yic.ac.cn
  • 1. 安徽科技学院资源与环境学院, 凤阳, 233100;
  • 2. 山东省烟台生态环境监测中心, 烟台, 264000;
  • 3. 中国科学院烟台海岸带研究所, 海岸带环境过程与生态修复重点实验室, 烟台, 264003
  • 收稿日期:  2020-11-06
基金项目:

国家自然科学基金（41907137，41671473），安徽省自然科学基金（1808085QD110，1908085QD166）和安徽省高校自然基金重点项目（KJ2020A0051）资助.

摘要: 为研究典型金矿区入湾河流重金属的污染特征并提出针对性修复措施，于2014-2016年4次采样分析了界河河水和表层沉积物中4种重金属（Zn、As、Cd和Pb）的含量水平、赋存形态及时空分布特征，并采用内梅罗综合污染指数法和风险评价编码法对表层沉积物中重金属的污染程度和生态风险进行了评价.结果表明，界河河水中Zn、As和Cd均有多个点位超过我国地表水环境质量标准Ⅲ类标准限值，而Pb并未超标.界河上游化工厂、中游国大冶金集团尾矿库以及金翅岭金矿是3个主要污染源.河道整治后，界河河水水质并未得到有效改善，仍需开展针对3个主要污染源的污染修复工作.界河沉积物中重金属Zn、As、Cd和Pb含量范围分别为218-5878、17-4177、1-67、35-974 mg·kg-1.连续提取实验结果显示，Zn和Cd的弱酸提取态含量均高于60%，As和Pb的形态分布沿程变化较大，主要是可还原态和残渣态.污染程度和风险评价结果表明，11个采样点沉积物全部属于重污染水平.Zn和Cd的风险等级最高，有4个采样点Zn和Cd处于极高风险水平，As和Pb在绝大部分样点处于低风险水平，因此应重点针对重金属Zn和Cd污染开展修复工作.

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