河口区重金属运动足迹

doi:10.11988/ckyyb.20190223

长江科学院院报 ›› 2020, Vol. 37 ›› Issue (6): 34-42.DOI: 10.11988/ckyyb.20190223

河口区重金属运动足迹

张晶晶^1,2, 羊瑞³, 王华^1,2, 周丰年⁴, 闫怀宇^1,2, 李保⁴

1.河海大学环境学院,南京 210098;
2.河海大学浅水湖泊综合治理与资源开发教育部重点实验室,南京 210098;
3.中交上海航道勘察设计研究院有限公司,上海 200135;
4.长江水利委员会水文局长江口水文水资源勘测局,上海 200136

收稿日期:2019-03-05 出版日期:2020-06-01 发布日期:2020-06-21
作者简介:张晶晶(1997-),女,安徽宣城人,硕士研究生,研究方向为湖泊水污染控制。E-mail:15298384205@163.com
基金资助:
长江科学院开放基金项目(CKWV2017504/KY)

Heavy Metal Movement Footprint in Estuary Area

ZHANG Jing-jing^1,2, YANG Rui³, WANG Hua^1,2, ZHOU Feng-nian⁴, YAN Huai-yu^1,2, LI Bao⁴

1. College of Environmental, Hohai University, Nanjing 210098, China;
2. Key Laboratory of Integrated Regulation and Resources Development of Shallow Lakes of Ministry of Water Resources, Hohai University, Nanjing 210098, China;
3. CCCC Shanghai Waterway Survey and Design Institute Co. , Ltd. , Shanghai 200135, China;
4. Bureau of Hydrology and Water Resources Survey in the Yangtze Estuary, Bureau of Hydrology of Changjiang Water Conservancy Commission, Shanghai 200136, China

Received:2019-03-05 Online:2020-06-01 Published:2020-06-21

摘要/Abstract

摘要： 为了更好地研究河口区重金属的运动足迹,综合评估其对河口水源区的影响,进一步实现河口水污染精准防治,选择长江口为研究区域,根据2016年1—12月长江口6个断面的监测数据,分析了长江口枯水期典型月(1月份)、平水期典型月(5月份)、丰水期典型月(8月份)重金属的运动足迹规律,构建了二维非稳态水环境数学模型并进行了率定验证,探究了河口区重金属的时空分布。研究结果表明:①不同水文期,长江口重金属受到长江径流和潮汐作用的影响,粒子运动速度从大到小的时间排序是丰水期>平水期>枯水期;空间分布来看,徐六泾释放的粒子会进入长江口的3个水源区。②枯水期典型月(1月份),粒子运动足迹3处不一致,北港处重金属粒子运动速度最快,为4.98 km/d,最终汇入东海。③平水期典型月(5月份),徐六泾重金属粒子足迹运动不同于枯水期,沿北港方向流动,继而呈顺时针的螺旋型轨迹运动,最终流入东海,且运动速度最快,为7.03 km/d。④丰水期典型月(8月份),运动足迹与平水期类似,但徐六泾与北港处的粒子运动速度都大于平水期,北港处最大,为8.32 km/d。

关键词: 河口, 长江口, 重金属, 粒子追踪, 时空分布

Abstract: In the purpose of precise prevention and control of water pollution in river estuary, the movement footprint of heavy metals in the Yangtze River estuary was studied in this paper to comprehensively evaluate the influence of heavy metals on water sources in the estuary. According to the monitoring data at six sections of the Yangtze River Estuary from January to December 2016, the footprints of heavy metals in typical month (January) in dry season, typical month (May) in flat season, and typical month (August) in wet season were analyzed. The mathematical models of two-dimensional unsteady water environment were established and verified. The temporal and spatial distribution of heavy metals in the estuary was investigated. The results are as follows: (1) In different hydrological periods, the heavy metals in the Yangtze River estuary are affected by the runoff and tidal action of the Yangtze River. Particle motion speed in wet season is larger than that in flat season and dry season in sequence. In terms of spatial distribution, the particles released at Xuliujing enters three water source areas of the Yangtze River estuary. (2) In typical month (January) of dry season, the particle motion footprint is inconsistent. The motion speed of heavy metal particles at Beigang (the north port) is the fastest, 4.98 km/d, and finally reaches the East Sea. (3) In typical month (May) of flat season, the motion footprint of heavy metal particles at Xuliujing witnesses a largest speed 7.03 km/d, which differs from that in dry season, but flows along Beigang, and then spirals in a clockwise direction, eventually flowing into the East Sea. (4) In typical month (August) of wet season, the footprint of heavy metal is similar to that in flat season, but at Xuliujing and Beigang the motion speeds of particles are larger than those in flat water period, with the maximum speed amounting to 8.32 km/d at Beigang.

Key words: estuary, Yangtze River estuary, heavy metal, particle tracing, space-time distribution

中图分类号:

X522

张晶晶, 羊瑞, 王华, 周丰年, 闫怀宇, 李保. 河口区重金属运动足迹[J]. 长江科学院院报, 2020, 37(6): 34-42.

ZHANG Jing-jing, YANG Rui, WANG Hua, ZHOU Feng-nian, YAN Huai-yu, LI Bao. Heavy Metal Movement Footprint in Estuary Area[J]. JOURNAL OF YANGTZE RIVER SCIENTIFIC RESEARCH INSTI, 2020, 37(6): 34-42.

[1]	王菊, 吴琼, 罗欢, 孙玲玲, 李宁, 何颖清. 东江北干流溶解氧时空分布特征及影响因素探讨[J]. 长江科学院院报, 2024, 41(3): 37-44.
[2]	孙慧, 李从安, 邱金伟. 电动土工塑料排水板修复重金属污染高岭土试验研究[J]. 长江科学院院报, 2024, 41(2): 123-127.
[3]	王宇, 叶长青, 朱丽蓉, 李昂, 梁栩, 邹艺. 东寨港湾区土地利用变化对生态系统服务功能的影响[J]. 长江科学院院报, 2023, 40(8): 70-76.
[4]	宋宝钢, 包腾飞, 向镇洋, 王瑞婕. 基于小波的SSA-ELM大坝变形时空预测模型[J]. 长江科学院院报, 2023, 40(8): 145-151.
[5]	翟玮, 张蔚, 季小梅, 陈婷. 长江口径潮相互作用下洪枯季余水位变化[J]. 长江科学院院报, 2023, 40(6): 29-34.
[6]	许泰, 鄂崇毅. 高寒沼泽草甸土壤重金属富集特征及潜在生态风险[J]. 长江科学院院报, 2023, 40(5): 70-76.
[7]	王安琪, 张蔚, 诸裕良, 陈婷, 季小梅. 流量调节对长江口潮流不对称的影响[J]. 长江科学院院报, 2023, 40(3): 18-24.
[8]	刘叶, 汪存石, 吴绍凯, 沈文韬, 徐剑波, 白王军, 祝建中. 电场对高含水率淤泥中Cd²⁺迁移及去除的影响[J]. 长江科学院院报, 2023, 40(2): 60-66.
[9]	廖国清, 朱烨, 吴光东, 王文, 刘懿, 朱玲玲. 中国近60年干旱热浪演变趋势及并发特征分析[J]. 长江科学院院报, 2023, 40(2): 169-176.
[10]	刘高峰. 径流和潮流共同作用下的福姜沙河段分流分沙不平衡性[J]. 长江科学院院报, 2023, 40(2): 192-198.
[11]	王景芸, 李剑锋, 季臣, 杨炜民. 南湖余氯时空分布规律数值模拟与分析[J]. 长江科学院院报, 2023, 40(12): 45-51.
[12]	刘玉婷, 许继军, 姚立强, 田甜, 袁喆. 基于水量平衡的长江上游地区气象水文要素时空变化特征分析[J]. 长江科学院院报, 2022, 39(3): 13-20.
[13]	赵玉, 李芳. 渭河渭南段水体重金属污染特征及风险评价[J]. 长江科学院院报, 2022, 39(2): 35-42.
[14]	庞树森, 谢志刚, 徐涛, 胡翔, 吕祥熙. 三峡坝址来水变化及水利工程对其影响分析[J]. 长江科学院院报, 2022, 39(11): 50-54.
[15]	胡兴涛, 杨广斌, 石秀雄, 崔瀚文, 李蔓. 公元前887年—公元1911年长江流域水、疫灾害时空分布特征[J]. 长江科学院院报, 2022, 39(11): 73-81.

河口区重金属运动足迹

Heavy Metal Movement Footprint in Estuary Area

PDF

可视化

摘要/Abstract

引用本文

使用本文

相关文章 15

编辑推荐

Metrics

本文评价