• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

密西西比-阿查法拉亚河系统向墨西哥湾北部输送的金属地球化学与质量。

Metals geochemistry and mass export from the Mississippi-Atchafalaya River system to the Northern Gulf of Mexico.

机构信息

School of Renewable Natural Resources, Louisiana State University Agricultural Center, Renewable Natural Resources Building Room 220, Baton Rouge, LA, 70803, USA.

School of Renewable Natural Resources, Louisiana State University Agricultural Center, Renewable Natural Resources Building Room 220, Baton Rouge, LA, 70803, USA; Coastal Studies Institute, Louisiana State University, Baton Rouge, LA, 70803, USA.

出版信息

Chemosphere. 2018 Aug;205:559-569. doi: 10.1016/j.chemosphere.2018.04.094. Epub 2018 Apr 17.

DOI:10.1016/j.chemosphere.2018.04.094
PMID:29709807
Abstract

Discharging 680 km of freshwater annually to the Northern Gulf of Mexico (NGOM), the Mississippi-Atchafalaya River System (MARS) plays a significant role in transporting major and trace elements to the ocean. In this study, we analyzed total recoverable concentrations of thirty-one metals from water samples collected at five locations along the MARS during 2013-2016 to quantify their seasonal mass exports. The Atchafalaya River flows through a large swamp floodplain, allowing us to also test the hypothesis that floodplains function as a sink for metals. We found that the seven major elements (Ca, Na, Mg, Si, K, Al, and Fe) constituted 99% of the total annual mass load of metals (7.38 × 10 tons) from the MARS. Higher concentrations of Al, Ba, B, Ca, Fe, Mg, Mn, Ag, and Ti were found in the Mississippi River, while significantly higher Si and Na concentrations were found in the Atchafalaya River. Significant relationships were found between daily discharge and daily loads of Ba, Ca, Fe, K, Sr, and Ti in both rivers, while significant relationships were also found for Al, Mg, Mn, V, and Zn in the Atchafalaya River and B in the Mississippi River. Overall, the Mississippi River contributed 64-76% of the total annual loading of metals from the MARS to the NGOM. Daily loads of Al, Ba, B, Fe, Li, Mn, P, K, Si, Ag, Ti, V, and Zn regularly decreased upstream to downstream in the Atchafalaya River, partially accepting the initial hypothesis on metals transport in river floodplains.

摘要

密西西比-阿查法拉亚河系统(MARS)每年向墨西哥湾北部(NGOM)排放 680 公里的淡水,在将主要和微量元素输送到海洋方面发挥着重要作用。在这项研究中,我们分析了 2013 年至 2016 年期间在 MARS 五个位置采集的水样中的 31 种金属的总可回收浓度,以量化它们的季节性质量出口。阿查法拉亚河流经一个大型沼泽泛滥平原,这使我们能够检验泛滥平原作为金属汇的假设。我们发现,七种主要元素(Ca、Na、Mg、Si、K、Al 和 Fe)构成了 MARS 中金属年总质量负荷(7.38×10 吨)的 99%。密西西比河的 Al、Ba、B、Ca、Fe、Mg、Mn、Ag 和 Ti 浓度较高,而阿查法拉亚河的 Si 和 Na 浓度明显较高。在两条河流中,均发现每日流量与每日 Ba、Ca、Fe、K、Sr 和 Ti 负荷之间存在显著关系,而在阿查法拉亚河的 Al、Mg、Mn、V 和 Zn 以及密西西比河的 B 中也发现了显著关系。总体而言,密西西比河对 MARS 向 NGOM 输送的金属总年负荷的贡献率为 64-76%。在阿查法拉亚河,Al、Ba、B、Fe、Li、Mn、P、K、Si、Ag、Ti、V 和 Zn 的日负荷从上游到下游定期减少,这部分接受了关于河流泛滥平原中金属运输的初始假设。

相似文献

1
Metals geochemistry and mass export from the Mississippi-Atchafalaya River system to the Northern Gulf of Mexico.密西西比-阿查法拉亚河系统向墨西哥湾北部输送的金属地球化学与质量。
Chemosphere. 2018 Aug;205:559-569. doi: 10.1016/j.chemosphere.2018.04.094. Epub 2018 Apr 17.
2
A retrospective analysis of trace metals, C, N and diatom remnants in sediments from the Mississippi River delta shelf.对密西西比河三角洲陆架沉积物中痕量金属、碳、氮和硅藻残余物的回顾性分析。
Mar Pollut Bull. 2004 Oct;49(7-8):548-56. doi: 10.1016/j.marpolbul.2004.03.013.
3
Concentrations of select dissolved trace elements and anthropogenic organic compounds in the Mississippi River and major tributaries during the summer of 2012 and 2013.2012年和2013年夏季密西西比河及其主要支流中特定溶解微量元素和人为有机化合物的浓度。
Environ Monit Assess. 2017 Feb;189(2):73. doi: 10.1007/s10661-017-5785-x. Epub 2017 Jan 23.
4
The influence of the Amazonian floodplain ecosystems on the trace element dynamics of the Amazon River mainstem (Brazil).亚马孙河漫滩生态系统对亚马孙河干流(巴西)微量元素动态的影响。
Sci Total Environ. 2005 Mar 1;339(1-3):219-32. doi: 10.1016/j.scitotenv.2004.07.034.
5
[Contents, contamination and geochemical characteristics of metals in the sediment from Songhua River].[松花江沉积物中金属的含量、污染及地球化学特征]
Huan Jing Ke Xue. 2008 Aug;29(8):2123-30.
6
Connectivity of floodplain influences riverine carbon outgassing and dissolved carbon transport.洪泛平原的连通性影响河流碳的脱气和溶解碳的输送。
Sci Total Environ. 2024 May 10;924:171604. doi: 10.1016/j.scitotenv.2024.171604. Epub 2024 Mar 8.
7
[Concentration distribution of metal elements in atmospheric aerosol under different weather conditions in Qingdao Coastal Region].[青岛沿海地区不同气象条件下大气气溶胶中金属元素的浓度分布]
Huan Jing Ke Xue. 2014 Oct;35(10):3651-62.
8
Iowa stream nitrate and the Gulf of Mexico.爱荷华州河流中的硝酸盐与墨西哥湾。
PLoS One. 2018 Apr 12;13(4):e0195930. doi: 10.1371/journal.pone.0195930. eCollection 2018.
9
Organic carbon, and major and trace element dynamic and fate in a large river subjected to poorly-regulated urban and industrial pressures (Sebou River, Morocco).受城市和工业压力调控不足影响的大河中的有机碳,以及主要和微量元素的动态及归宿(摩洛哥塞布河)。
Sci Total Environ. 2015 Jan 1;502:296-308. doi: 10.1016/j.scitotenv.2014.09.014. Epub 2014 Sep 28.
10
Textural and geochemical characteristics of marine sediments in the SW Gulf of Mexico: implications for source and seasonal change.墨西哥湾西南部海洋沉积物的质地和地球化学特征:对来源和季节变化的影响
Environ Monit Assess. 2015 Apr;187(4):205. doi: 10.1007/s10661-015-4423-8. Epub 2015 Mar 24.

引用本文的文献

1
Geochemical evolution of dissolved trace elements in space and time in the Ramganga River, India.印度拉姆根加河水中溶解微量元素的时空地球化学演化。
Environ Monit Assess. 2023 Sep 5;195(10):1150. doi: 10.1007/s10661-023-11665-0.
2
Horizontal and Vertical Transport of Uranium in an Arid Weapon-Tested Ecosystem.干旱武器试验生态系统中铀的水平和垂直迁移
ACS Earth Space Chem. 2022 May 19;6(5):1321-1330. doi: 10.1021/acsearthspacechem.2c00028. Epub 2022 Apr 6.
3
Neuro-Particle Swarm Optimization Based In-Situ Prediction Model for Heavy Metals Concentration in Groundwater and Surface Water.
基于神经粒子群优化算法的地下水和地表水中重金属浓度原位预测模型
Toxics. 2022 Feb 18;10(2):95. doi: 10.3390/toxics10020095.