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

被引：11
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
收藏
页码：305 / 312
页数：8
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