Continuous field soil moisture content mapping by means of apparent electrical conductivity (ECa) measurement

被引：12

作者：

Nagy, Viliam ^{[1
]}

Milics, Gabor ^{[2
]}

Smuk, Norbert ^{[2
]}

Kovacs, Attila Jozsef ^{[2
]}

Balla, Istvan ^{[3
]}

Jolankai, Marton ^{[3
]}

Deakvari, Jozsef ^{[4
]}

Szalay, Kornel D. ^{[4
]}

Fenyvesi, Laszlo ^{[4
]}

Stekauerova, Vlasta ^{[1
]}

Wilhelm, Zoltan ^{[5
]}

Rajkai, Kalman ^{[6
]}

Nemeth, Tamas ^{[6
]}

Nemenyi, Miklos ^{[2
]}

机构：

[1] Slovak Acad Sci, Inst Hydrol, Bratislava 83102, Slovakia

[2] Univ West Hungary, Inst Biosyst Engn, H-9200 Mosonmagyarovar, Hungary

[3] Szent Istvan Univ, Inst Crop Prod, H-2100 Godollo, Hungary

[4] Hungarian Inst Agr Engn, H-2100 Godollo, Hungary

[5] Univ Pecs, Inst Geog, Dept Gen & Appl Environm Geog, H-7624 Pecs, Hungary

[6] Hungarian Acad Sci, Agr Res Ctr, Inst Soil Sci & Agr Chem, H-1022 Budapest, Hungary

来源：

JOURNAL OF HYDROLOGY AND HYDROMECHANICS | 2013年 / 61卷 / 04期

关键词：

Moisture content mapping; Apparent electrical conductivity; Data preparation and interpolation; Precision agriculture; SALT; CALIBRATION;

D O I：

10.2478/johh-2013-0039

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

A soil moisture content map is important for providing information about the distribution of moisture in a given area. Moisture content directly influences agricultural yield thus it is crucial to have accurate and reliable information about moisture distribution and content in the field. Since soil is a porous medium modified generalized Archie's equation provides the basic formula to calculate moisture content data based on measured ECa. In this study we aimed to find a more accurate and cost effective method for measuring moisture content than manual field sampling. Locations of 25 sampling points were chosen from our research field as a reference. We assumed that soil moisture content could be calculated by measuring apparent electrical conductivity (ECa) using the Veris-3100 on-the-go soil mapping tool. Statistical analysis was carried out on the 10.791 ECa raw data in order to filter the outliers. The applied statistical method was +/- 1.5 interquartile (IRQ) distance approach. The visualization of soil moisture distribution within the experimental field was carried out by means of ArcGIS/ArcMAP using the inverse distance weighting interpolation method. In the investigated 25 sampling points, coefficient of determination between calculated volumetric moisture content data and measured ECa was R-2 = 0.87. According to our results, volumetric moisture content can be mapped by applying ECa measurements in these particular soil types.

引用

页码：305 / 312

页数：8

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