• 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

利用土壤表观电导率优化土壤贯入阻力采样并改善土壤压实空间格局的估计。

Using soil apparent electrical conductivity to optimize sampling of soil penetration resistance and to improve the estimations of spatial patterns of soil compaction.

作者信息

Machado Siqueira Glécio, Dafonte Dafonte Jorge, Bueno Lema Javier, Valcárcel Armesto Montserrat, França e Silva Ênio Farias

机构信息

Centro de Ciências Agrárias e Ambientais, Universidade Federal do Maranhão, BR-222, KM 04, s/n, Boa Vista, 65500-000 Chapadinha, MA, Brazil.

Escuela Politécnica Superior, Universidad de Santiago de Compostela (USC), Campus Universitario, 27002 Lugo, Spain.

出版信息

ScientificWorldJournal. 2014;2014:269480. doi: 10.1155/2014/269480. Epub 2014 Dec 31.

DOI:10.1155/2014/269480
PMID:25610899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4294297/
Abstract

This study presents a combined application of an EM38DD for assessing soil apparent electrical conductivity (ECa) and a dual-sensor vertical penetrometer Veris-3000 for measuring soil electrical conductivity (ECveris) and soil resistance to penetration (PR). The measurements were made at a 6 ha field cropped with forage maize under no-tillage after sowing and located in Northwestern Spain. The objective was to use data from ECa for improving the estimation of soil PR. First, data of ECa were used to determine the optimized sampling scheme of the soil PR in 40 points. Then, correlation analysis showed a significant negative relationship between soil PR and ECa, ranging from -0.36 to -0.70 for the studied soil layers. The spatial dependence of soil PR was best described by spherical models in most soil layers. However, below 0.50 m the spatial pattern of soil PR showed pure nugget effect, which could be due to the limited number of PR data used in these layers as the values of this parameter often were above the range measured by our equipment (5.5 MPa). The use of ECa as secondary variable slightly improved the estimation of PR by universal cokriging, when compared with kriging.

摘要

本研究介绍了一种EM38DD用于评估土壤表观电导率（ECa）以及一种双传感器垂直贯入仪Veris - 3000用于测量土壤电导率（ECveris）和土壤抗穿透性（PR）的联合应用。测量是在西班牙西北部一块6公顷的免耕播种饲用玉米田进行的。目的是利用ECa数据改进土壤PR的估计。首先，利用ECa数据确定了40个点处土壤PR的优化采样方案。然后，相关性分析表明土壤PR与ECa之间存在显著的负相关关系，在所研究的土壤层中，相关系数范围为-0.36至-0.70。在大多数土壤层中，土壤PR的空间依赖性用球形模型描述最佳。然而，在0.50米以下，土壤PR的空间格局呈现纯块金效应，这可能是由于这些层中使用的PR数据数量有限，因为该参数的值常常超出我们设备的测量范围（5.5兆帕）。与克里金法相比，将ECa用作辅助变量通过通用协同克里金法略微改进了PR的估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/d02518945c5c/TSWJ2014-269480.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/76af057a2797/TSWJ2014-269480.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/180325bf17be/TSWJ2014-269480.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/123a20ff075b/TSWJ2014-269480.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/d010154d455a/TSWJ2014-269480.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/421060654b89/TSWJ2014-269480.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/a60b08a73061/TSWJ2014-269480.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/d02518945c5c/TSWJ2014-269480.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/76af057a2797/TSWJ2014-269480.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/180325bf17be/TSWJ2014-269480.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/123a20ff075b/TSWJ2014-269480.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/d010154d455a/TSWJ2014-269480.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/421060654b89/TSWJ2014-269480.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/a60b08a73061/TSWJ2014-269480.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/4294297/d02518945c5c/TSWJ2014-269480.007.jpg

相似文献

1
Using soil apparent electrical conductivity to optimize sampling of soil penetration resistance and to improve the estimations of spatial patterns of soil compaction.利用土壤表观电导率优化土壤贯入阻力采样并改善土壤压实空间格局的估计。
ScientificWorldJournal. 2014;2014:269480. doi: 10.1155/2014/269480. Epub 2014 Dec 31.
2
Using multivariate geostatistics to assess patterns of spatial dependence of apparent soil electrical conductivity and selected soil properties.利用多元地质统计学评估表观土壤电导率和选定土壤性质的空间依赖性模式。
ScientificWorldJournal. 2014;2014:712403. doi: 10.1155/2014/712403. Epub 2014 Dec 31.
3
Simplifying field-scale assessment of spatiotemporal changes of soil salinity.简化土壤盐分时空变化的田间尺度评估。
Sci Total Environ. 2017 Jun 1;587-588:273-281. doi: 10.1016/j.scitotenv.2017.02.136. Epub 2017 Feb 27.
4
Spatial and temporal patterns of apparent electrical conductivity: DUALEM vs. Veris sensors for monitoring soil properties.表观电导率的时空模式：用于监测土壤特性的DUALEM传感器与Veris传感器对比
Sensors (Basel). 2014 Jun 6;14(6):10024-41. doi: 10.3390/s140610024.
5
Integration of electromagnetic induction sensor data in soil sampling scheme optimization using simulated annealing.在使用模拟退火算法优化土壤采样方案中整合电磁感应传感器数据。
Environ Monit Assess. 2015 Jul;187(7):422. doi: 10.1007/s10661-015-4570-y. Epub 2015 Jun 12.
6
Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor.使用 5TE 传感器对土壤水分和盐分测量进行实验室校准和现场验证。
Sensors (Basel). 2019 Nov 29;19(23):5272. doi: 10.3390/s19235272.
7
The Application of EM38: Determination of Soil Parameters, Selection of Soil Sampling Points and Use in Agriculture and Archaeology.EM38的应用：土壤参数测定、土壤采样点选择及在农业与考古学中的应用
Sensors (Basel). 2017 Nov 4;17(11):2540. doi: 10.3390/s17112540.
8
Seeding rate in soybean according to the soil apparent electrical conductivity.根据土壤表观电导率确定大豆播种量。
An Acad Bras Cienc. 2020 Jul 29;92(suppl 1):e20181112. doi: 10.1590/0001-3765202020181112.
9
Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing.通过远程和近程传感评估草原生物量变化的土壤根源。
Sensors (Basel). 2019 Oct 22;19(20):4593. doi: 10.3390/s19204593.
10
Temporal Stability of Management Zone Patterns: Case Study with Contact and Non-Contact Soil Electrical Conductivity Sensors in Dryland Pastures.管理区模式的时间稳定性：旱地牧场中接触式和非接触式土壤电导率传感器的案例研究
Sensors (Basel). 2024 Mar 1;24(5):1623. doi: 10.3390/s24051623.

引用本文的文献

1
Sand-Related Factors Influencing Nest Burrowing Potential of the Sand Martins.影响崖沙燕巢穴挖掘潜力的沙地相关因素。
Animals (Basel). 2023 Nov 9;13(22):3463. doi: 10.3390/ani13223463.
2
Real-Time Electrical Resistivity Measurement and Mapping Platform of the Soils with an Autonomous Robot for Precision Farming Applications.用于精准农业应用的自主机器人土壤实时电阻率测量与绘图平台。
Sensors (Basel). 2020 Jan 1;20(1):251. doi: 10.3390/s20010251.

本文引用的文献

1
Using multivariate geostatistics to assess patterns of spatial dependence of apparent soil electrical conductivity and selected soil properties.利用多元地质统计学评估表观土壤电导率和选定土壤性质的空间依赖性模式。
ScientificWorldJournal. 2014;2014:712403. doi: 10.1155/2014/712403. Epub 2014 Dec 31.