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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

Spatial and temporal patterns of apparent electrical conductivity: DUALEM vs. Veris sensors for monitoring soil properties.

作者信息

Serrano João, Shahidian Shakib, Silva José Marques da

机构信息

University of Évora, ICAAM, Apartado 94, 7002-554 Évora, Portugal.

出版信息

Sensors (Basel). 2014 Jun 6;14(6):10024-41. doi: 10.3390/s140610024.

DOI:10.3390/s140610024
PMID:24915182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4118405/
Abstract

The main objective of this study was to compare two apparent soil electrical conductivity (ECa) sensors (Veris 2000 XA and DUALEM 1S) for mapping variability of soil properties in a Mediterranean shallow soil. This study also aims at studying the effect of soil cover vegetation on the ECa measurement by the two types of sensors. The study was based on two surveys carried out under two very different situations: in February of 2012, with low soil moisture content (SMC) and with high and differentiated vegetation development (non grazed pasture), and in February of 2013, with high SMC and with short and relatively homogeneous vegetation development (grazed pasture). The greater temporal stability of Veris sensor, despite the wide variation in the SMC and vegetation ground cover indicates the suitability of using this sensor for monitoring soil properties in permanent pastures. The survey carried out with the DUALEM sensor in 2012 might have been affected by the presence of a 0.20 m vegetation layer at the soil surface, masking the soil properties. These differences should be considered in the selection of ECa sensing systems for a particular application.

摘要

本研究的主要目的是比较两种表观土壤电导率(ECa)传感器(Veris 2000 XA和DUALEM 1S),用于绘制地中海浅层土壤中土壤性质的变异性。本研究还旨在研究土壤覆盖植被对这两种类型传感器进行ECa测量的影响。该研究基于在两种截然不同的情况下进行的两次调查:2012年2月,土壤湿度含量(SMC)较低,植被发育较高且差异较大(未放牧的牧场),以及2013年2月,SMC较高,植被发育较短且相对均匀(放牧的牧场)。尽管SMC和植被地面覆盖变化很大,但Veris传感器具有更大的时间稳定性,这表明使用该传感器监测永久牧场土壤性质的适用性。2012年使用DUALEM传感器进行的调查可能受到土壤表面存在0.20米植被层的影响,掩盖了土壤性质。在为特定应用选择ECa传感系统时应考虑这些差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/31a8e8d7c976/sensors-14-10024f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/93ae4a708f54/sensors-14-10024f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/ce8bc8334882/sensors-14-10024f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/d633d4324922/sensors-14-10024f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/6bc071a28a80/sensors-14-10024f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/d58d532039a6/sensors-14-10024f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/43c4cecaea3c/sensors-14-10024f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/87868e970b3d/sensors-14-10024f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/1f9051978d2d/sensors-14-10024f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/4338c4eee68c/sensors-14-10024f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/31a8e8d7c976/sensors-14-10024f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/93ae4a708f54/sensors-14-10024f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/ce8bc8334882/sensors-14-10024f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/d633d4324922/sensors-14-10024f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/6bc071a28a80/sensors-14-10024f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/d58d532039a6/sensors-14-10024f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/43c4cecaea3c/sensors-14-10024f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/87868e970b3d/sensors-14-10024f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/1f9051978d2d/sensors-14-10024f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/4338c4eee68c/sensors-14-10024f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c19b/4118405/31a8e8d7c976/sensors-14-10024f10.jpg

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