七星河湿地水环境重金属污染特征与风险评价

张福祥; 崔嵩; 朱乾德; 高尚; 李昆阳

doi:10.13205/j.hjgc.202010011

七星河湿地水环境重金属污染特征与风险评价

doi: 10.13205/j.hjgc.202010011

张福祥^1,2,
崔嵩^1,2, ,,
朱乾德³,
高尚^1,2,
李昆阳^1,2

1. 东北农业大学水利与土木工程学院国际持久性有毒物质联合研究中心, 哈尔滨 150030;
2. 东北农业大学松花江流域生态环境保护研究中心, 哈尔滨 150030;
3. 南京水利科学研究院, 南京 210029

基金项目:

国家重点研发计划（2017YFC0404503）；黑龙江省优秀青年科学基金（YQ2019E001）；黑龙江省博士后启动基金（LBH-Q17010）；中央财政支持地方高校发展专项资金优秀青年人才项目。

详细信息

作者简介:
张福祥(1996-),男,硕士研究生,主要从事农业水土资源环境效应研究。Zhangfuxiang823@163.com

通讯作者:
崔嵩(1981-),男,博士,副教授,主要从事农业水土资源环境效应研究。cuisong-bq@neau.edu.cn

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出版历程
- 收稿日期: 2020-05-20

POLLUTION CHARACTERISTIC AND RISK ASSESSMENT OF HEAVY METALS IN AQUATIC ENVIRONMENT OF QIXING RIVER WETLAND

ZHANG Fu-xiang^1,2,
CUI Song^{1,2
, ,},
ZHU Qian-de³,
GAO Shang^1,2,
LI Kun-yang^1,2

1. International Joint Research Center for Persistent Toxic Substances(IJRC-PTS), School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China;
2. Research Center for Eco-Environment Protection of Songhua River Basin, Northeast Agricultural University, Harbin 150030, China;
3. Nanjing Hydraulic Research Institute, Nanjing 210029, China

摘要

摘要: 为识别农业区湿地水环境中重金属的污染水平、空间分布特征和风险传递效应，采集了三江平原七星河湿地水体、沉积物和鱼类样品，并测定了Cu、Cr、Cd、Zn和Ni 5种重金属的含量。结果表明：水体和沉积物中重金属的平均含量由高到低依次为Zn （28.0） > Cr （4.5） > Cu （3.2） > Ni （2.6） > Cd （0.1）（水体，μg/L）和Zn （139.4） > Cr （81.9） > Ni （45.7） > Cu （24.4） > Cd （0.2）（沉积物，mg/kg）。水体中所有重金属含量均优于GB 3838—2002《地表水环境质量标准》Ⅰ类标准，而所有采样点沉积物中的Zn和Cd均超过黑龙江省土壤背景值（Zn：70.7 mg/kg；Cd：0.086 mg/kg）。除葛氏鲈塘鳢（Perccottus glenii）未检出Ni外，东北湖鱥（Phoxinus percnurus）和北方花鳅（Cobitis granoei）中5种重金属均有检出，且北方花鳅对Zn的富集已达到"中等富集"水平，鱼类样品中其他重金属均处于"低富集"状态。以水生生物允许限值和沉积物质量指南作为参考限值的单因子风险指数（CF）的计算结果表明，水体和沉积物中的Cr对水生生物构成了"高风险"，且Cr对综合风险指数（PLI）的贡献最高。鱼类样品中5种重金属的目标危害系数（THQ）和综合危害指数（HI）均<1（Cr对HI的贡献率超过70%），表明长期食用七星河湿地野生鱼类不会引起非致癌风险，但食用野生鱼类暴露Cd的癌症风险指数（CR）超过10^-5，存在引发癌症风险的可能。
- 七星河湿地 /
- 水环境 /
- 重金属 /
- 污染特征 /
- 潜在风险
Abstract: The pollution levels, spatial distribution, and human health risks of heavy metals in aquatic environment of a typical wetland in Sanjiang Plain were investigated and evaluated. The concentrations of Cu, Cr, Cd, Zn, and Ni were detected in multi-media (water, sediment, and wild fish species) collected from Qixing River wetland. The results showed that the average concentration of heavy metals were in the sequence of Zn (28.0) > Cr (4.5) > Cu (3.2) > Ni (2.6) > Cd (0.1) in water (μg/L), and Zn (139.4) > Cr (81.9) > Ni (45.7) > Cu (24.4) > Cd (0.2) in sediments (mg/kg). All concentrations of heavy metals measured in the water samples were lower than China’s National Standard of Surface Water Quality I, while the concentrations of Zn and Cd in sediments were elevated and compared to the soil environmental background value of Heilongjiang. Except for the concentration of Ni in Perccottus glenii samples were below the detection limit, all the heavy metals were detected in the wild fish species. And moderate accumulation of Zn was found in Cobitis granoe, while the four other heavy metals in wild fish species were in low accumulation status. The single risk factor (CF), taking the Aquatic Life Water Permissible Limits and Sediments Quality Guideline as the reference value, indicated a high risk threat to the aquatic organisms as affected by Cr alone, and Cr contributed most to the comprehensive risk index (PLI). The target hazard quotients (THQ) and hazard indexes (HI) of these five heavy metals were bellow 1, indicating that there was no non-carcinogenic risk via consumption of wild fish; while the carcinogenic risk metrics (CR) of Cd exceeded the cancer risk threshold (10^-5), indicative in elevation of cancer incidence in local consumers.
- Qixing River wetland /
- aquatic environment /
- heavy metals /
- pollution characteristic /
- potential risk

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参考文献(39)

PICO Y, ALVAREZ-RUIZ R, ALFARHAN A H, et al. Pharmaceuticals, pesticides, personal care products and microplastics contamination assessment of Al-Hassa irrigation network (Saudi Arabia) and its shallow lakes[J]. Science of the Total Environment, 2020, 701:135021.

WANG Y Q, YANG L Y, KONG L H, et al. Spatial distribution, ecological risk assessment and source identification for heavy metals in surface sediments from Dongping Lake, Shandong, East China[J]. Catena, 2015, 125:200-205.

权轻舟. 国内湿地重金属污染评价的研究进展[J]. 中国农学通报,2017,33(8):60-67.

张慧娟,刘云根,王妍,等. 阳宗海湖滨湿地沉积物中重金属的空间分布特征[J]. 水生态学杂志,2017,38(2):44-50.

JIN Z M, DENG S Q, WEN Y C, et al. Application of Simplicillium chinense for Cd and Pb biosorption and enhancing heavy metal phytoremediation of soils[J]. Science of the Total Environment, 2019, 697:134148.

LAFABRIE C, PERGENT G, KANTIN R, et al. Trace metals assessment in water, sediment, mussel and seagrass species-validation of the use of Posidonia oceanica as a metal biomonitor[J]. Chemosphere, 2007, 68(11):2033-2039.

ZHANG N N, ZANG S Y, SUN Q Z, et al. Health risk assessment of heavy metals in the water environment of Zhalong wetland, China[J]. Ecotoxicology, 2014, 23(4):518-526.

张家泉,田倩,许大毛,等. 大冶湖表层水和沉积物中重金属污染特征与风险评价[J]. 环境科学,2017,38(6):2355-2363.

QUINTELA F M, LIMA G P, SILVEIRA M L, et al. High arsenic and low lead concentrations in fish and reptiles from Taim wetlands, a Ramsar site in southern Brazil[J]. Science of the Total Environment, 2019, 660:1004-1014.

ZHE H, CHEN L H, WANG C L, et al. Heavy metal distribution and bioaccumulation ability in marine organisms from coastal regions of Hainan and Zhoushan, China[J]. Chemosphere, 2019, 226:340-350.

燕超,纪春波,张翼翔. 我国东部重要的雁类栖息和繁育地-黑龙江宝清七星河湿地[J]. 农业与技术,2019,39(8):25-26.

苏小莉,吕立鑫,刘晨宇,等. 七星河湿地微生物数量与理化性质相关性研究[J]. 哈尔滨师范大学自然科学学报,2018,34(4):74-80.

王心芳,魏复盛,齐文启. 水和废水监测分析方法[M]. 4版. 北京:中国科学出版社,2002.

Canadian Council of Ministers of the Environment. Canadian Water Quality Guidelines for the Protection of Aquatic Life:Summary Table[R]. Winnipeg, Canada:Canadian Council of Ministers of the Environment, 2007.

Canadian Council of Ministers of the Environment. Canadian Sediment Quality Guidelines for the Protection of Aquatic Life[R]. Winnipeg, Canada:Canadian Council of Ministers of the Environment, 1999.

MAMUT A, EZIZ M, MOHAMMAD A, et al. The spatial distribution, contamination, and ecological risk assessment of heavy metals of farmland soils in Karashahar-Baghrash oasis, northwest China[J]. Human and Ecological Risk Assessment, 2017, 23(6):1300-1314.

USEPA. Risk Assessment Guidance for Superfund, Volume 1 Human Health Evaluation Manual[S]. Washington DC:United States Environmental Protection Agency, 1989.

FU L, LU X B, NIU K, et al. Bioaccumulation and human health implications of essential and toxic metals in freshwater products of Northeast China[J]. Science of the Total Environment, 2019, 673:768-776.

ZHANG G L, BAI J H, XIAO R, et al. Heavy metal fractions and ecological risk assessment in sediments from urban, rural and reclamation-affected rivers of the Pearl River Estuary, China[J]. Chemosphere, 2017, 184:278-288.

LI K Y, CUI S, ZHANG F X, et al. Concentrations, possible sources and health risk of heavy metals in multi-media environment of the Songhua River, China[J]. International Journal of Environmental Research and Public Health, 2020, 17(5):1766.

ADAMS W J, KIMERLE R A, JR J W B. Sediment quality and aquatic life assessment[J]. Environmental Science and Technology, 1992, 26(10):1864-1875.

国家环境监测中心. 中国土壤元素背景值[M]. 北京:中国科学出版社,1990.

尚二萍,许尔琪,张红旗,等. 中国粮食主产区耕地土壤重金属时空变化与污染源分析[J]. 环境科学,2018,39(10):4670-4683.

ANTONIJEVIC M M, DIMITRIJEVIC M D, MILIC S M, et al. Metal concentrations in the soils and native plants surrounding the old flotation tailings pond of the copper mining and smelting complex Bor (Serbia)[J]. Journal of Environmental Monitoring, 2012, 14(3):866-877.

JIAO W, WEI O Y, HAO F H, et al. Geochemical variability of heavy metals in soil after land use conversions in Northeast China and its environmental applications[J]. Environmental Science Processes and impacts, 2014, 16(4):924-931.

黑龙江省统计局. 黑龙江统计年鉴(2019)[M]. 北京:中国统计出版社,2019.

CUI S, ZHANG F X, HU P, et al. Heavy metals in sediment from the urban and rural Rivers in Harbin City, Northeast China[J]. International Journal of Environmental Research and Public Health, 2019, 16(22):4313.

何柱锟,陈海洋,陈瑞晖,等. 乐安河沉积物重金属污染评价与来源解析[J]. 北京师范大学学报(自然科学版),2020,56(5):78-85.

DJIKANOVIC V, SKORIC S, SPASIC S, et al. Ecological risk assessment for different macrophytes and fish species in reservoirs using biota-sediment accumulation factors as a useful tool[J]. Environmental Pollution, 2018, 241:1167-1174.

余杨,王雨春,周怀东,等. 三峡库区蓄水初期大宁河重金属食物链放大特征研究[J]. 环境科学,2013,34(10):3847-3853.

YI Y J, TANG C H, YI T, et al. Health risk assessment of heavy metals in fish and accumulation patterns in food web in the upper Yangtze River, China[J]. Ecotoxicology and Environmental Safety, 2017, 145:295-302.

崔嵩,李昆阳,付强,等. 哈尔滨市积雪中重金属污染特征分析与清单估算[J]. 应用基础与工程科学学报,2019,27(6):1248-1257.

EVERITT B S. The Cambridge Dictionary of Statistics[M]. Cambridge University Press, Cambridge & New York, 1998.

罗文磊,田娟,侯战方,等. 东平湖表层沉积物重金属富集特征及其污染研究[J]. 环境工程,2016,34(4):146-150

,155.

JIAO W, WEI O Y, HAO F H, et al. Long-term cultivation impact on the heavy metal behavior in a reclaimed wetland, Northeast China[J]. Journal of Soils and Sediments, 2014, 14(3):567-576.

ZHOU Y J, JIA Z Y, WANG J X, et al. Heavy metal distribution, relationship and prediction in a wheat-rice rotation system[J]. Geoderma, 354:113886.

VU C T, LIN C, SHERN C C, et al. Contamination, ecological risk and source apportionment of heavy metals in sediments and water of a contaminated river in Taiwan[J]. Ecological Indicators, 2017, 82:32-42.

丁冬梅. 利用泥鳅对重金属富集的现象来指示河流污染变化程度的研究[J]. 江苏环境科技,2007,20(2):31-32.

XIA F, ZHANG C, QU L Y, et al. A comprehensive analysis and source apportionment of metals in riverine sediments of a rural-urban watershed[J]. Journal of Hazardous Materials, 2020, 381:121230.

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