Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/s19235272 |
Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor | |
Zemni, Nessrine; Bouksila, Fethi; Persson, Magnus; Slama, Fairouz; Berndtsson, Ronny; Bouhlila, Rachida | |
通讯作者 | Zemni, N (corresponding author), Natl Inst Res Rural Engn Water & Forestry, Box 10, Ariana 2080, Tunisia. ; Zemni, N (corresponding author), Univ Tunis El Manar ENIT, Natl Engn Sch Tunis, Lab Modelling Hydraul & Environm, Box 37, Tunis 1002, Tunisia. |
来源期刊 | SENSORS |
EISSN | 1424-8220 |
出版年 | 2019 |
卷号 | 19期号:23 |
英文摘要 | Capacitance sensors are widely used in agriculture for irrigation and soil management purposes. However, their use under saline conditions is a major challenge, especially for sensors operating with low frequency. Their dielectric readings are often biased by high soil electrical conductivity. New calculation approaches for soil water content (theta) and pore water electrical conductivity (ECp), in which apparent soil electrical conductivity (ECa) is included, have been suggested in recent research. However, these methods have neither been tested with low-cost capacitance probes such as the 5TE (70 MHz, Decagon Devices, Pullman, WA, USA) nor for field conditions. Thus, it is important to determine the performance of these approaches and to test the application range using the 5TE sensor for irrigated soils. For this purpose, sandy soil was collected from the Jemna oasis in southern Tunisia and four 5TE sensors were installed in the field at four soil depths. Measurements of apparent dielectric permittivity (Ka), ECa, and soil temperature were taken under different electrical conductivity of soil moisture solutions. Results show that, under field conditions, 5TE accuracy for theta estimation increased when considering the ECa effect. Field calibrated models gave better theta estimation (root mean square error (RMSE) = 0.03 m(3) m(-3)) as compared to laboratory experiments (RMSE = 0.06 m(3) m(-3)). For ECp prediction, two corrections of the Hilhorst model were investigated. The first approach, which considers the ECa effect on K' reading, failed to improve the Hilhorst model for ECp > 3 dS m(-1) for both laboratory and field conditions. However, the second approach, which considers the effect of ECa on the soil parameter K-0, increased the performance of the Hilhorst model and gave accurate measurements of ECp using the 5TE sensor for irrigated soil. |
英文关键词 | soil salinity soil water content FDR sensor soil pore water electrical conductivity sensor calibration and validation real time monitoring |
类型 | Article |
语种 | 英语 |
开放获取类型 | gold, Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000507606200215 |
WOS关键词 | ELECTRICAL-CONDUCTIVITY ; DIELECTRIC-PROPERTIES ; CAPACITANCE ; MOISTURE ; TDR ; PROBE |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/369766 |
作者单位 | [Zemni, Nessrine; Bouksila, Fethi] Natl Inst Res Rural Engn Water & Forestry, Box 10, Ariana 2080, Tunisia; [Zemni, Nessrine; Slama, Fairouz; Bouhlila, Rachida] Univ Tunis El Manar ENIT, Natl Engn Sch Tunis, Lab Modelling Hydraul & Environm, Box 37, Tunis 1002, Tunisia; [Persson, Magnus; Berndtsson, Ronny] Lund Univ, Dept Water Resources Engn, Box 118, SE-22100 Lund, Sweden; [Berndtsson, Ronny] Lund Univ, Ctr Middle Eastern Studies, Box 201, SE-22100 Lund, Sweden |
推荐引用方式 GB/T 7714 | Zemni, Nessrine,Bouksila, Fethi,Persson, Magnus,et al. Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor[J],2019,19(23). |
APA | Zemni, Nessrine,Bouksila, Fethi,Persson, Magnus,Slama, Fairouz,Berndtsson, Ronny,&Bouhlila, Rachida.(2019).Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor.SENSORS,19(23). |
MLA | Zemni, Nessrine,et al."Laboratory Calibration and Field Validation of Soil Water Content and Salinity Measurements Using the 5TE Sensor".SENSORS 19.23(2019). |
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