• 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

用于评估地下含水量垂直分布的硬岩源头集水区的磁共振测深数据集。

Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface.

作者信息

Lesparre Nolwenn, Girard Jean-François, Jeannot Benjamin, Weill Sylvain, Dumont Marc, Boucher Marie, Viville Daniel, Pierret Marie-Claire, Legchenko Anatoly, Delay Frederick

机构信息

Université de Strasbourg, CNRS, EOST, LHYGES UMR 7517, F-67000 Strasbourg, France.

Université de Strasbourg, CNRS, EOST, IPGS UMR 7516, F-67000 Strasbourg, France.

出版信息

Data Brief. 2020 May 16;31:105708. doi: 10.1016/j.dib.2020.105708. eCollection 2020 Aug.

DOI:10.1016/j.dib.2020.105708
PMID:32462069
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7243058/
Abstract

Magnetic Resonance Sounding (MRS) measurements are acquired at 16 stations in the Strengbach headwater catchment (Vosges Mountains - France). These data, rendering the vertical distribution of water contents in the subsurface, are used to show their potential in conditioning a hydrological model of the catchment, as described in the article "Magnetic resonance sounding measurements as posterior information to condition hydrological model parameters: Application to a hard-rock headwater catchment" - Journal of Hydrology (2020). Acquisition protocols follow a free induction decay scheme. Data are filtered by applying a band-pass filter at the Larmor frequency. A filter removing the 50 Hz noise is also applied with the exception of data at a Larmor frequency close to the 50 Hz harmonic. The signal envelopes are then fitted by a decaying exponential function over time to estimate the median characteristic relaxation time of each MRS sounding.

摘要

在斯特伦巴赫河源集水区（法国孚日山脉）的16个站点进行了磁共振测深（MRS）测量。这些数据反映了地下含水量的垂直分布，如《磁共振测深测量作为水文模型参数调节的后验信息：应用于硬岩河源集水区》一文所述，用于展示其在调节集水区水文模型方面的潜力。该文章发表于《水文杂志》（2020年）。采集协议遵循自由感应衰减方案。通过在拉莫尔频率处应用带通滤波器对数据进行滤波。除了拉莫尔频率接近50Hz谐波的数据外，还应用了一个去除50Hz噪声的滤波器。然后，通过随时间的衰减指数函数对信号包络进行拟合，以估计每个MRS测深的中值特征弛豫时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/727e73b3e0c4/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/e5d0fe7f1ac4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/5bf34a4df2f8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/8beae7b72f2e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/8a3a9fd3a096/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/cf42636b6eed/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/a03a23cff2f9/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/b7b7bbb89620/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/fc89ec530cc4/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/514c97485d55/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/fbb43c9251b5/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/4c6491f2b988/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/acb098b0a3df/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/4bd60d113565/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/6d1509a31f72/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/e35d6eada19b/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/5f589507f662/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/727e73b3e0c4/gr17.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/e5d0fe7f1ac4/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/5bf34a4df2f8/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/8beae7b72f2e/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/8a3a9fd3a096/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/cf42636b6eed/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/a03a23cff2f9/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/b7b7bbb89620/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/fc89ec530cc4/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/514c97485d55/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/fbb43c9251b5/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/4c6491f2b988/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/acb098b0a3df/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/4bd60d113565/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/6d1509a31f72/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/e35d6eada19b/gr15.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/5f589507f662/gr16.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ef/7243058/727e73b3e0c4/gr17.jpg

相似文献

1
Magnetic resonance sounding dataset of a hard-rock headwater catchment for assessing the vertical distribution of water contents in the subsurface.用于评估地下含水量垂直分布的硬岩源头集水区的磁共振测深数据集。
Data Brief. 2020 May 16;31:105708. doi: 10.1016/j.dib.2020.105708. eCollection 2020 Aug.
2
Understanding the hydrological response of a headwater-dominated catchment by analysis of distributed surface-subsurface interactions.通过分析分布式地表-地下相互作用来理解以源头为主的流域的水文响应。
Sci Rep. 2023 Mar 22;13(1):4669. doi: 10.1038/s41598-023-31925-w.
3
Resolution of MRS applied to the characterization of hard-rock aquifers.应用于硬岩含水层特征描述的磁共振测深法分辨率
Ground Water. 2006 Jul-Aug;44(4):547-54. doi: 10.1111/j.1745-6584.2006.00198.x.
4
Magnetic resonance sounding: new method for ground water assessment.
Ground Water. 2004 Mar-Apr;42(2):291-303. doi: 10.1111/j.1745-6584.2004.tb02675.x.
5
Subsurface hydrological connectivity controls nitrate export flux in a hilly catchment.地下水文连通性控制丘陵流域硝酸盐输出通量。
Water Res. 2024 Apr 1;253:121308. doi: 10.1016/j.watres.2024.121308. Epub 2024 Feb 12.
6
Design of Meter-Scale Antenna and Signal Detection System for Underground Magnetic Resonance Sounding in Mines.矿山地下磁共振探测的米级天线与信号检测系统设计
Sensors (Basel). 2018 Mar 13;18(3):848. doi: 10.3390/s18030848.
7
Magnetic resonance sounding applied to aquifer characterization.
Ground Water. 2004 May-Jun;42(3):363-73. doi: 10.1111/j.1745-6584.2004.tb02684.x.
8
Design of a Matching Network for a High-Sensitivity Broadband Magnetic Resonance Sounding Coil Sensor.一种用于高灵敏度宽带磁共振测深线圈传感器的匹配网络设计。
Sensors (Basel). 2017 Oct 27;17(11):2463. doi: 10.3390/s17112463.
9
Development of a Rigid One-Meter-Side and Cooled Coil Sensor at 77 K for Magnetic Resonance Sounding to Detect Subsurface Water Sources.用于磁共振测深以探测地下水源的 77K 刚性一米边长冷却线圈传感器的研制。
Sensors (Basel). 2017 Jun 12;17(6):1362. doi: 10.3390/s17061362.
10
Efficacy of hydrological investigation in Karumeniyar river basin, Southern Tamil Nadu, India using vertical electrical sounding technique: A case study.印度泰米尔纳德邦南部卡鲁梅尼亚尔河流域水文调查中垂直电测深技术的有效性：案例研究
MethodsX. 2021 Jan 6;8:101215. doi: 10.1016/j.mex.2021.101215. eCollection 2021.

引用本文的文献

1
Surface parameters and bedrock properties covary across a mountainous watershed: Insights from machine learning and geophysics.地表参数与基岩特性在一个山区流域内共同变化：机器学习与地球物理学的启示。
Sci Adv. 2022 Mar 25;8(12):eabj2479. doi: 10.1126/sciadv.abj2479. Epub 2022 Mar 23.