[1]张 虹,徐 敏,丁言者,等.小型河口沉积物重金属风险概率与主要贡献因子研究——以江苏中山河为例[J].南京师大学报(自然科学版),2023,46(01):64-72.[doi:10.3969/j.issn.1001-4616.2023.01.010]
 Zhang Hong,Xu Min,Ding Yanzhe,et al.Study on the Probability of Heavy Metal Risk and Main Contributing Factors in Small-Sized Estuarine Sediments: a Case Study of Zhongshan River in Jiangsu Province[J].Journal of Nanjing Normal University(Natural Science Edition),2023,46(01):64-72.[doi:10.3969/j.issn.1001-4616.2023.01.010]
点击复制

小型河口沉积物重金属风险概率与主要贡献因子研究——以江苏中山河为例()
分享到:

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

卷:
第46卷
期数:
2023年01期
页码:
64-72
栏目:
海洋科学
出版日期:
2023-03-15

文章信息/Info

Title:
Study on the Probability of Heavy Metal Risk and Main Contributing Factors in Small-Sized Estuarine Sediments: a Case Study of Zhongshan River in Jiangsu Province
文章编号:
1001-4616(2023)01-0064-09
作者:
张 虹1徐 敏1丁言者2徐文健1李艳霞1
(1.南京师范大学海洋科学与工程学院,江苏 南京 210023)
(2.国家海洋局南通海洋环境监测中心站,江苏 南通 226002)
Author(s):
Zhang Hong1Xu Min1Ding Yanzhe2Xu Wenjian1Li Yanxia1
(1.School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China)
(2.Nantong Marine Environmental Monitoring Center, Nantong 226002, China)
关键词:
小型河口沉积物重金属风险概率评价时空分布特征
Keywords:
small-sized estuary sediment heavy metal risk probability evaluation spatial and temporal distribution characteristic
分类号:
X55; X820.4
DOI:
10.3969/j.issn.1001-4616.2023.01.010
文献标志码:
A
摘要:
相对于大型入海河流,小型入海河流缺乏连续环境监测及对河口海域的生态环境影响研究. 本文根据2013—2019年江苏中山河口海域7个航次固定站位点采集的70个表层沉积物样品中7种重金属(As、Hg、Cu、Pb、Zn、Cr和Cd)检测数据,利用蒙特卡洛模拟对潜在生态风险与生物毒性风险进行了概率评价,并识别风险主要贡献因子、分析其时空分布特征. 研究表明:河口区处于低生态风险的概率为4.0%,处于中生态风险的概率为69.4%,处于高生态风险的概率为26.6%,潜在生物毒性风险处于低风险. 相较于潜在生物毒性风险,研究区的潜在生态风险更加值得引起关注. 研究区生态风险主要贡献因子是Hg和Cd,其历年高值区处在不断变化中. 值得关注的是,小型河口对海洋环境的影响集中在河口附近海域,现有大范围环境监测并不能准确反映研究区沉积物环境质量现状分布特征,加强小型河口区海域环境监测是研究此类河口区环境特征的基础.
Abstract:
Compared with large inlet rivers,small-sized inlet rivers lack continuous environmental monitoring and ecological and environmental impact studies on estuarine waters. Based on the detection data of seven heavy metals(As,Hg,Cu,Pb,Zn,Cr and Cd)in 70 surface sediment samples collected from seven fixed stations in Zhongshan Estuary in Jiangsu Province from 2013 to 2019,this paper conducted probability evaluations of potential ecological risk and biotoxicity risk using Monte Carlo simulation,and identified the main contributing factors of risk and analyzed their spatial and temporal distribution characteristics. The study showed that the probability of the estuary being at low ecological risk was 4.0%,at medium ecological risk was 69.4%,at high ecological risk was 26.6%,and the potential biotoxicity risk was at low risk. Compared to the potential biotoxicity risk,the potential ecological risk in the study area is of more concern. The main contributing factors of ecological risk in the study area are Hg and Cd,and their historical high value areas are in constant change. It is worth noting that the impact of small-sized estuary on the marine environment is concentrated in the sea area near the estuary,and the existing large-scale environmental monitoring does not accurately reflect the current distribution characteristics of sediment environmental quality in the study area. Strengthening environmental monitoring in small-sized estuaries is the basis for studying the environmental characteristics of such estuaries.

参考文献/References:

[1]杨剑洲,马生明,王振亮,等. 海南岛典型河口表层沉积物重金属和多环芳烃的累积和生态风险评价[J]. 岩矿测试,2022,41(4):621-631.
[2]SIN S N,CHUA H,LO W,et al. Assessment of heavy metal cations in sediments of Shing Mun River,Hong Kong[J]. Environment international,2001,26(5):297-301.
[3]CHAPMAN P M,WANG F,ADAMS W J,et al. Appropriate applications of sediment quality values for metals and metalloids[J]. Environmental science and technology,1999,33(22):3937-3941.
[4]王化泉. 河口和近岸海洋沉积物中的重金属及其污染评价[J]. 海洋环境科学,1985(1):32-38.
[5]ZHAO Y F,XU M,LIU Q,et al. Study of heavy metal pollution,ecological risk and source apportionment in the surface water and sediments of the Jiangsu coastal region,China:a case study of the Sheyang Estuary[J]. Marine pollution bulletin,2018,137:601-609.
[6]倪志鑫,张霞,蔡伟叙,等. 珠江口沉积物中重金属分布、形态特征及风险分析[J]. 海洋环境科学,2016,35(3):321-328.
[7]程嘉熠,王晓萌,杨正先,等. 双台子河口沉积物重金属溯源及生态风险评估[J]. 中国环境科学,2021,41(3):1345-1353.
[8]刘培渊,徐夕博,邢凯旋,等. 胶州湾典型河口区沉积物重金属来源解析与潜在生态风险评价[J]. 绿色科技,2018(6):43-45.
[9]张芬,孙振中,张玉平. 长江口重要渔业水域重金属分布特征及风险评价[J]. 水产科技情报,2017,44(4):177-180.
[10]李平,郭晓娟,杨清书,等. 珠江磨刀门河口表层沉积物中重金属的分布特征及生态风险评价[J]. 海洋环境科学,2017,36(5):746-753.
[11]POOVENESWARY N,BAKAR A F B A,WEI B C,et al. Contamination status and ecological risk of heavy metal in surface sediment of Kelantan river and its nearshore area,Malaysia[J]. Water supply,2020,20(1):103-117.
[12]刘金庆,印萍,张勇,等. 滦河口沉积物重金属分布及生态风险评价[J]. 海洋地质与第四纪地质,2016,36(5):43-52.
[13]佟瑞鹏,杨校毅. 基于蒙特卡罗模拟的土壤环境健康风险评价:以PAHs为例[J]. 环境科学,2017,38(6):2522-2529.
[14]JIANG C L,ZHAO Q,ZHENG L G,et al. Distribution,source and health risk assessment based on the Monte Carlo method of heavy metals in shallow groundwater in an area affected by mining activities,China. [J]. Ecotoxicology and environmental safety,2021,224:112679.
[15]王丽,黄德寅,刘茂,等. 蒙特卡洛模拟方法在苯致癌风险评价中的应用[J]. 安全与环境学报,2011,11(5):231-235.
[16]牛汝辰. 中国水名词典[M]. 哈尔滨:哈尔滨地图出版社,1995.
[17]欧阳凯,闫玉茹,项立辉,等. 盐城北部潮间带表层沉积物重金属分布特征及污染评价[J]. 海洋环境科学,2016,35(2):256-263.
[18]国家海洋环境监测中心. 海洋监测规范 第3部分:样品采集、贮存与运输(GB 17378.3—2007)[S]. 北京:中国标准出版社,2008.
[19]国家海洋环境监测中心. 海洋监测规范 第5部分:沉积物分析(GB 17378.5—2007)[S]. 北京:中国标准出版社,2008.
[20]HAKANSON L. An ecological risk index for aquatic pollution control. a sedimentological approach[J]. Water research,1980,14(8):975-1001.
[21]徐争启,倪师军,庹先国,等. 潜在生态危害指数法评价中重金属毒性系数计算[J]. 环境科学与技术,2008(2):112-115.
[22]马建华,韩昌序,姜玉玲. 潜在生态风险指数法应用中的一些问题[J]. 地理研究,2020,39(6):1233-1241.
[23]MACDONALD D D,CARR R S,CALDER F D,et al. Development and evaluation of sediment quality guidelines for Florida coastal waters[J]. Ecotoxicology,1996,5(4):253-278.
[24]PEDERSEN F,BJRNESTAD E,ANDERSEN H V,et al. Characterization of sediments from Copenhagen Harbour by use of biotests[J]. Water science & technology,1998,37(6/7):233-240.
[25]RAJASEKHAR B,NAMBI I M,GOVINDARAJAN S K. Human health risk assessment of ground water contaminated with petroleum PAHs using Monte Carlo simulations:a case study of an Indian metropolitan city[J]. Journal of environmental management,2018,205:183-191.
[26]GINSBERG G L,BELLEGGIA G. Use of Monte Carlo analysis in a risk-based prioritization of toxic constituents in house dust[J]. Environment international,2017,109:101-113.
[27]国家海洋环境监测中心. 海洋沉积物质量(GB 18668—2002)[S]. 北京:中国标准出版社,2002.
[28]KARIM Z,QURESHI B A,MUMTZA M,et al. Heavy metal content in urban soils as an indicator of anthropogenic and natural influences on landscape of Karachi—A multivariate spatio-temporal analysis[J]. Ecological indicators,2014,42:20-31.
[29]张杰,郭西亚,曾野,等. 太湖流域河流沉积物重金属分布及污染评估[J]. 环境科学,2019,40(5):2202-2210.
[30]陈邦本,胡蓉卿,陈铭达. 江苏海涂土壤环境元素的自然背景值[J]. 南京农业大学学报,1985(3):54-60.
[31]范成新,刘敏,王圣瑞,等. 近20年来我国沉积物环境与污染控制研究进展与展望[J]. 地球科学进展,2021,36(4):346-374.
[32]旷泽行. 南海三种典型河口海湾生物—沉积物重金属污染与风险评价及其不确定性分析[D]. 上海:上海海洋大学,2021.
[33]庞阔,李敏,刘璐,等. 基于蒙特卡洛模拟与PMF模型的黄河流域沉积物重金属污染评价及源解析[J]. 环境科学,2022,43(8):4008-4017.
[34]钟映雄,陈佳佳,汪思钧,等. 海产品中砷的形态及其毒性研究进展[J]. 食品与发酵工业,2022,48(23):337-343.
[35]王瑛,陈苗苗,谭婷婷,等. 海产品中的砷及其代谢机制的研究进展[J]. 现代食品科技,2014,30(11):256-265.

备注/Memo

备注/Memo:
收稿日期:2022-07-21.
基金项目:江苏省海洋科技创新项目(JSZRHYKJ202103).
通讯作者:徐敏,博士,教授,博士生导师,研究方向:海洋资源与环境. E-mail:xumin0895@njnu.edu.cn
更新日期/Last Update: 2023-03-15