| Autor: |
Nagy Viliam, Milics Gábor, Smuk Norbert, Kovács Attila József, Balla István, Jolánkai Márton, Deákvári József, Szalay Kornél D., Fenyvesi László, Štekauerová Vlasta, Wilhelm Zoltán, Rajkai Kálmán, Németh Tamás, Neményi Miklós |
| Jazyk: |
angličtina |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Journal of Hydrology and Hydromechanics, Vol 61, Iss 4, Pp 305-312 (2013) |
| Druh dokumentu: |
article |
| ISSN: |
0042-790X |
| DOI: |
10.2478/johh-2013-0039 |
| Popis: |
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 R2 = 0.87. According to our results, volumetric moisture content can be mapped by applying ECa measurements in these particular soil types. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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