跳至主要内容

Performance of Hydra Probe and MPS-1 Soil Water Sensors in Topsoil Tested in Lab and Field

Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50206#.VDICv1fHRK0

Soil water sensors are commonly used to monitor water content and matric potential in order to study hydrological processes such as evaporation. Finding a proper sensor is sometimes difficult, especially for measurements in topsoil, where changes of temperature and soil water dynamics occur generally with greater intensity compared to deeper soil layers. We assessed the perfor-mance of Hydra Probe water content sensors and MPS-1 matric potential sensors in topsoil in the laboratory and in the field. A common soil-specific calibration function was determined for the Hydra Probes. Measurement accuracy and sensor-to-sensor variation were within the manufacturer specification of ±0.03 m3·m-3. Hydra Probes can operate from dry to saturated conditions. Sensor-specific calibrations from a previous study were used to reduce sensor-to-sensor variation of MPS-1. Measurement accuracy can be expressed by a mean relative error of 10%. According to the manufacturer, the application range of matric potential readings is from -10 kPa to -500 kPa. MPS-1 delivered also values beyond this range, but they were not reliable. Sensor electronics of the MPS-1 were sensitive to ambient temperature changes. Beyond instrument effects, field measurements showed substantial temperature-driven fluctuations of soil water content and matric potential, which complicated data interpretation.
Cite this paper
Kammerer, G. , Nolz, R. , Rodny, M. and Loiskandl, W. (2014) Performance of Hydra Probe and MPS-1 Soil Water Sensors in Topsoil Tested in Lab and Field. Journal of Water Resource and Protection, 6, 1207-1219. doi: 10.4236/jwarp.2014.613110
 

[1] Huntington, T.G. (2006) Evidence for Intensification of the Global Water Cycle: Review and Synthesis. Journal of Hydrology, 319, 83-95.
http://dx.doi.org/10.1016/j.jhydrol.2005.07.003
[2] Mohanty, B.P., Shouse, P.J. and van Genuchten, M.T. (1998) Spatio-Temporal Dynamics of Water and Heat in a Field Soil. Soil and Tillage Research, 47, 133-143.
http://dx.doi.org/10.1016/S0167-1987(98)00084-1
[3] Monteith, J.L. and Unsworth, M.H. (2008) Principles of Environmental Physics. 3rd Edition, Academic Press, New York, 418.
[4] Cahill, A.T. and Parlange, M.B. (1998) On Water Vapor Transport in Field Soils. Water Resources Research, 34, 731-739.
http://dx.doi.org/10.1029/97WR03756
[5] Aydin, M., Yang, S.L., Kurt, N. and Yano, T. (2005) Test of a Simple Model for Estimating Evaporation from Bare Soils in Different Environments. Ecological Modelling, 182, 91-105.
http://dx.doi.org/10.1016/j.ecolmodel.2004.07.013
[6] Flerchinger, G.N., Sauer, T.J. and Aiken, R.A. (2003) Effects of Crop Residue Cover and Architecture on Heat and Water Transfer at the Soil Surface. Geoderma, 116, 217-233.
http://dx.doi.org/10.1016/S0016-7061(03)00102-2
[7] Ersahin, S. and Brohi, A.R. (2006) Spatial Variation of Soil Water Content in Topsoil and Subsoil of a Typic Ustifluvent. Agricultural Water Management, 83, 79-86.
http://dx.doi.org/10.1016/j.agwat.2005.09.002
[8] Lambot, S., Slob, E., Chavarro, D., Lubczynski, M. and Vereecken, H. (2008) Measuring Soil Surface Water Content in Irrigated Areas of Southern Tunisia Using Full-Waveform Inversion of Proximal GPR Data. Near Surface Geophysics, 6, 403-410.
[9] López Riquelme, J.A., Soto, F., Suardiaz, J., Sanchez, P., Iborra, A. and Vera, J.A. (2009) Wireless Sensor Networks for Precision Horticulture in Southern Spain. Computers and Electronics in Agriculture, 68, 25-35.
http://dx.doi.org/10.1016/j.compag.2009.04.006
[10] Martinez, C., Hancock, G.R., Kalma, J.D. and Wells, T. (2008) Spatio-Temporal Distribution of Near-Surface and Root Zone Soil Moisture at the Catchment Scale. Hydrological Processes, 22, 2699-2714.
http://dx.doi.org/10.1002/hyp.6869
[11] Méndez-Barroso, L.A., Vivoni, E.R., Watts, C.J. and Rodriguez, J.C. (2009) Seasonal and Interannual Relations between Precipitation, Surface Soil Moisture and Vegetation Dynamics in the North American Monsoon Region. Journal of Hydrology, 377, 59-70.
http://dx.doi.org/10.1016/j.jhydrol.2009.08.009
[12] Smith, A.B., Walker, J.P., Western, A.W., Young, R.I., Ellett, K.M., Pipunic, R.C., Grayson, R.B., Siriwidena, L., Chiew, F.H.S. and Richter, H. (2012) The Murrumbidgee Soil Moisture Monitoring Network Data Set. Water Resources Research, 486.
[13] Evett, S.R., Schwartz, R.C., Lascano, R.J. and Pelletier, M.G. (2010) In-Soil and Down-Hole Soil Water Sensors: Characteristics for Irrigation Management. Proceedings of 5th Decennial National Irrigation Conference, 5-8 December 2010, Phoenix.
[14] Seyfried, M.S. and Murdock, M.D. (2004) Measurement of Soil Water Content with a 50-MHz Soil Dielectric Sensor. Soil Science Society of America Journal, 68, 394-403.
http://dx.doi.org/10.2136/sssaj2004.3940
[15] Seyfried, M.S., Grant, L.E., Du, E. and Humes, K. (2005) Dielectric Loss and Calibration of the Hydra Probe Soil Water Sensor. Vadose Zone Journal, 4, 1070-1079.
http://dx.doi.org/10.2136/vzj2004.0148
[16] Seyfried, M.S. and Grant, L.E. (2007) Temperature Effects on Soil Dielectric Properties Measured at 50 MHz. Vadose Zone Journal, 6, 759-765.
http://dx.doi.org/10.2136/vzj2006.0188
[17] Vaz, C.M.P., Jones, S., Meding, M. and Tuller, M. (2013) Evaluation of Standard Calibration Functions for Eight Electromagnetic Soil Moisture Sensors. Vadose Zone Journal, 12.
http://dx.doi.org/10.2136/vzj2012.0160
[18] Decagon Devices (2009) Dielectric Water Potential Sensor MPS-1. Operator’s Manual Version 3.0. Decagon Devices, Inc., 2350 NE Hopkins Court, Pullman, WA 99163.
[19] Malazian, A., Hartsough, P., Kamai, T., Campbell, G., Cobos, D. and Hopmans, J. (2011) Evaluation of MPS-1 Soil Water Potential Sensor. Journal of Hydrology, 402, 126-134.
http://dx.doi.org/10.1016/j.jhydrol.2011.03.006
[20] Nolz, R., Kammerer, G. and Cepuder, P. (2013) Calibrating Soil Water Potential Sensors Integrated into a Wireless Monitoring Network. Agricultural Water Management, 116, 12-20.
http://dx.doi.org/10.1016/j.agwat.2012.10.002
[21] Stevens (2007) Hydra Probe Users Manual. Stevens Water Monitoring Systems Inc., Portland.
[22] Adcon (2013) Information on Adcon Wireless Sensor Networks. Adcon Telemetry GmbH, Klosterneuburg.
http://www.adcon.at
[23] Bellingham, K. (2007) The Stevens Hydra Probe Inorganic Soil Calibrations. Stevens Water Monitoring Systems Inc., Portland.
http://www.soilsensor.com/articles
[24] Loiskandl, W., Buchan, G.D., Sokol, W., Novak, V. and Himmelbauer, M. (2010) Calibrating Electromagnetic Short Soil Water Sensors. Journal of Hydrology and Hydromechanics, 58, 114-125.
http://dx.doi.org/10.2478/v10098-010-0011-3
[25] Nolz, R., Kammerer, G. and Cepuder, P. (2013) Interpretation of Lysimeter Weighing Data Affected by Wind. Journal of Plant Nutrition and Soil Science, 176, 200-208.
http://dx.doi.org/10.1002/jpln.201200342
[26] Rose, C.W. (1968) Water Transport in Soil with a Daily Temperature Wave. I: Theory and Experiment. Australian Journal of Soil Research, 6, 31-44.
http://dx.doi.org/10.1071/SR9680031                         eww141006lx

评论

此博客中的热门博文

Does Immigration Promote the Investment of the Monopolistic Firm?

In the present paper, we examine the effect of increasing uncertainty of immigrants’ growth on the optimal timing of investment of a firm that has a monopolistic power over the labor market. It is revealed that when the uncertainty of immigrants’ growth is more than a threshold level, increasing uncertainty of immigrants’ growth accelerates the optimal timing of firms’ investment and enhances the economic growth, even if the uncertainty of immigrants’ growth is formulated by the geometric Brownian motion, which is in sharp contrast to the standard result that an increase in the uncertainty postpones the optimal timing. With an increase in the immigrants over the past ten years, workforces in the host countries have been growing significantly to the extent that the immigrants represent 70% of the increase in the workforce in Europe, and 47% in the United States as OECD indicates. In the present paper, we attempted to investigate the effect of increased uncertainty caused by the growi...

Education Policy Implementation: A Mechanism for Enhancing Primary Education Development in Zanzibar

Education is one of the fundamental rights of individuals; therefore, the government of a country needs to develop and strengthen educational policy and quality as well as to ensure that everyone has equal access to basic education. The improvement of access and quality of education in the world is becoming as an essential factor in development, whereas the basic education (primary school), is acknowledged as a foundation of the higher educational development for every country. To fulfill this goal, governments introduce several policies and procedures; however, it requires some reforms and participation from the politician, policymakers, and other stakeholders to re-examine educational policy so that it can lead to multiplication and betterment of the reforms. Educational reforms actually focus on accountability. A positive educational development and reform is very challenging and needs more effort and strategy on how to use and utilize the resources effectively as such it can achie...