Determination of Soil Electrical Conductivity and Moisture on Different Soil Layers Using Electromagnetic Techniques in Irrigated Arid Environments in South Africa
文献类型：期刊论文
| 作者 | Ratshiedana, Phathutshedzo Eugene3,4; Abd Elbasit, Mohamed A. M.2; Adam, Elhadi3; Chirima, Johannes George1,4; Liu, Gang5; Economon, Eric Benjamin4 |
| 刊名 | WATER
 |
| 出版日期 | 2023-05-18 |
| 卷号 | 15期号:10页码:23 |
| 关键词 | apparent electrical conductivity salinity soil moisture em38-mk inverse distance weighting spatial distribution |
| DOI | 10.3390/w15101911 |
| 通讯作者 | Ratshiedana, Phathutshedzo Eugene(ratshiedanap@arc.agric.za) |
| 英文摘要 | Precise adjustments of farm management activities, such as irrigation and soil treatment according to site-specific conditions, are crucial. With advances in smart agriculture and sensors, it is possible to reduce the cost of water and soil treatment inputs but still realize optimal yields and high-profit returns. However, achieving precise application requirements cannot be efficiently practiced with spatially disjointed information. This study assessed the potential of using an electromagnetic induction device (EM38-MK) to cover this gap. An EM38-MK was used to measure soil apparent electrical conductivity (ECa) as a covariate to determine soil salinity status and soil water content ? post irrigation at four depth layers (Hz: 0-0.25 m; Hz: 0-0.75 m; Vz: 0.50-1 m). The inverse distance weighting method was used to generate the spatial distribution thematic layers of electrical conductivity. The statistical measures showed an R-2 = 0.87; r > 0.7 and p = 0.05 on correlation of ECa and SWC. Based on the South African salinity class of soils, the area was not saline ECa < 200 mS/m. The EM38-MK can be used to estimate soil salinity and SWC variability using ECa as a proxy, allowing precise estimations with depths and in space. These findings provide key information that can aid in irrigation scheduling and soil management. |
| WOS关键词 | SURFACE-TEMPERATURE ; LAND-USE ; WATER ; AGRICULTURE ; VARIABILITY ; INDUCTION ; SALINITY ; EVAPOTRANSPIRATION ; MANAGEMENT ; SCALES |
| 资助项目 | Agricultural Research Council-Natural Resources and Engineering (ARC-NRE)[P07000128] ; National Research Foundation ; Water Research Commission of South Africa[C2022/2023-00978] |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:000997954600001 |
| 资助机构 | Agricultural Research Council-Natural Resources and Engineering (ARC-NRE) ; National Research Foundation ; Water Research Commission of South Africa |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197479]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Ratshiedana, Phathutshedzo Eugene |
| 作者单位 | 1.Univ Pretoria, Dept Geog Geoinformat & Meteorol, ZA-0028 Pretoria, South Africa 2.Sol Plaatje Univ, Sch Nat & Appl Sci, Dept Phys & Earth Sci, ZA-8300 Kimberley, South Africa 3.Univ Witwatersrand, Sch Geog Archaeol & Environm Studies, Johannesburg Private Bag X3, ZA-2050 Johannesburg, South Africa 4.Agr Res Council, Nat Resources & Engn South Africa, 600 Belvedere St, ZA-0083 Pretoria, South Africa 5.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, Xianyang 712100, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ratshiedana, Phathutshedzo Eugene,Abd Elbasit, Mohamed A. M.,Adam, Elhadi,et al. Determination of Soil Electrical Conductivity and Moisture on Different Soil Layers Using Electromagnetic Techniques in Irrigated Arid Environments in South Africa[J]. WATER,2023,15(10):23. |
| APA | Ratshiedana, Phathutshedzo Eugene,Abd Elbasit, Mohamed A. M.,Adam, Elhadi,Chirima, Johannes George,Liu, Gang,&Economon, Eric Benjamin.(2023).Determination of Soil Electrical Conductivity and Moisture on Different Soil Layers Using Electromagnetic Techniques in Irrigated Arid Environments in South Africa.WATER,15(10),23. |
| MLA | Ratshiedana, Phathutshedzo Eugene,et al."Determination of Soil Electrical Conductivity and Moisture on Different Soil Layers Using Electromagnetic Techniques in Irrigated Arid Environments in South Africa".WATER 15.10(2023):23. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。