Evaluating Automatic Detector of Wetting Front for Monitoring Water Movement in Soil

Tafteh, Arash; Ghalebi, Saeed; Mallah, Sina

doi:10.22034/jewe.2020.218691.1345

Document Type : Research Paper

Authors

¹ Assist. Professor, Department of Irrigation and Soil Physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran

² Lecturer, Department of Irrigation and Soil Physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran

³ Researcher, Department of Irrigation and Soil Physics, Soil and Water Research Institute, Agricultural Research Education and Extension Organization (AREEO), Karaj, Iran

https://doi.org/10.22034/jewe.2020.218691.1345

Abstract

In order to increase water productivity at farm level and smart irrigation, appropriate systems are essential so that can measure the moisture content in a proper and acceptable accuracy. In this regard, the wetting front device was made at the Soil and Water Research Institute and was evaluated in 3 textures: light, medium, and heavy at 3 levels of water salinity: no salinity (S₀), 5(S₁), and 10 (S₂) dS/m. Then, to evaluate and measure the device in the mentioned conditions, it was tried to simultaneously measure the device numbers and soil sampling at certain depths at intervals of 24 h. After collecting data on the time of arrival of the moisture front to the soil depth and changes in soil moisture, statistical analysis was performed by soil sampling and soil detection device. The results showed that the device reacts in different textures and salinities. Moreover, the sensitivity of its sensors to sudden changes in soil moisture due to the arrival of the moisture front to a certain depth of soil has acceptable accuracy. Statistical results showed that the device has about 6 to 9% normal error in determining soil moisture in non-saline conditions, 28 to 41% in terms of using water with salinity of 5 dS/m, and 31-37% when a water with salinity of 10 dS/m was used. The model efficiency index also showed that the device is very useful in non-saline conditions with an average efficiency of 0.75 and is not recommended in saline conditions with negative efficiency index.

Keywords

Main Subjects

Physics and soil conservation

References

Ali S., Ghosh N. C., Singh R. and Sethy B. K. (2013). Generalized explicit models for estimation of wetting front length and potential recharge. Water Resour. Manage., 27, 2429–2445.

Colman E. A. and Bodman G. B. (1944). Bravo Hernández and R. Cárdenas-Navarro. Soil Sci. Soc. Am. Proc. 9, 3-11.

Davodi M. H. (2002). Using capacity assessment and capability assessment, computer assessment capacity, third companion between Iran Geotechnical and Mexican University of Engineering, Tehran, Iran Soil Management and Preferred Programs. https://www.civilica.com/Paper-ICGESM03-ICGESM03_028.html [In Persian].

Ebrahimi Pak N. A., Agdernejad A., Tafteh A. and Ahmadi M. (2019). Economical optimization of water distribution in Qazvin irrigation network under different water deficit conditions. J. Environ. Sci. Tech., 21(1),12-32 [In Persian].

Ebrahimi Pak N. A. and Tafteh A. (2017). Determination of yield-water use function for sugar beet in Qazvin. J. Sugar., 33(1), 47-63 [In Persian].

Ghaemi A. and Rahmani Soghayeh, J. (2014). Investigation the performance of smart sensors as a new approach to determine soil moisture content. Iran. J. Irrig. Drain., 8(1), 16-25 [In Persian].

Ghahreman B., Davari K., Astarayi A., Majidi. M. and Tamsaki S. (2009). Correction of gypsum block readings due to salinity effects for soil moisture content measurements. J. Water Soil, 23(1), 69-78.

Jabro J. D., Stevens W. B., Iversen W. M., Allen B. L. and Sainju U. M. (2020). Irrigation scheduling based on wireless sensors output and soil-water characteristic curve in two soils. Sensors. 20, 1336, 2-11.

Katyal A. K. and Kijne J. W. (1980). Prediction of the advancing wetting front in border strip irrigation. Irrig. Sci., 1, 177-184.

Khorami M. Alizadeh A. and Ansari H. (2013). Simulation of water movement and moisture redistribution under drip irrigation systems using hydrus 2D/3D. J. Water Soil, 27(4), 692-702.

Leib B. G., Jabro J. D. and Mtthews G. R. (2003). Field evaluation and performance comparison of soil moisture sensors. Soil Sci., 168, 396-408.

Lobit P., Stirzaker R., Bravo Hernández N. L. and Cárdenas-Navarro R. (2006). Using a wetting front detector to manage drip irrigation in strawberry. 6, 138-152. Available at: https://www.semanticscholar.org/paper/USING-A-WETTING-FRONT-DETECTOR-TO-MANAGE-DRIP-IN-Lobit-Stirzaker/866a01c316f17019fce061f4a9b6330386fe554f.

Malek K. and Peters R. T. (2011). Wetting pattern models for drip irrigation new empirical mode. J. Irrig. Drain. Eng., 137(8), 530-536.

Moncef H., Hedi D., Jelloul B. and Mohamed M. (2002). Approach for predicting the wetting front depth beneath a surface point source: theory and numerical aspect. Irrig. Drain., 51, 347–360.

Nolz R., Kammerer G. and Cepuder P. (2013). Calibrating soil water potential sensors integrated into a wireless monitoring network. Agri. Wat. Manage., 116, 12–20.

Rahmani S. J. and Ghaemi A. A. (2014). Evaluation and comparison of smart soil moisture sensor performance with weight method in micro irrigation. The first National Conference on Water Crisis, Esfahan, Khorasgan Eslamic Azad University [In Persian].

Tafteh A., Emdad M. E. And Ghalebi S. (2018). Determination of the best situation of border irrigation for increasing application Efficiency using SRFR model. J. Irrig. Wat. Eng., 8(30), 200-210 [In Persian].

Yao W. W., Ma X. Y., Li J. and Parkes M. (2011). Simulation of point source wetting pattern of subsurface drip irrigation. Irrig. Sci., 29, 331–339.

Zare Abyaneh H., Khosraie A., Ebrahimi Pak N. A., Tafteh A. and Jozi M. (2020). Selecting the optimal model of water infiltration into the soil (Case study: Jahad Nasr lands of Khuzestan province). Water Irrig. Manage., 9(2), 291-304 [In Persian].

Environment and Water Engineering

Evaluating Automatic Detector of Wetting Front for Monitoring Water Movement in Soil

References

References

Volume 6, Issue 1
April 2020
Pages 1-12

Evaluating Automatic Detector of Wetting Front for Monitoring Water Movement in Soil

References

References

Volume 6, Issue 1April 2020Pages 1-12

Volume 6, Issue 1
April 2020
Pages 1-12