Enhancing TDR based water content measurements by ANN in sandy soils

Geoderma

Volumn 195-196, Issue , 2013, Pages 133-144

  Arsoy, Sami ^a   Ozgur, Mehmet ^a   Keskin, Erdinc ^a   Yilmaz, Cuneyt ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Neural networks; Soil water content; TDR; Time domain reflectometry

Indexed keywords

CALIBRATION MODEL; DIELECTRIC PERMITTIVITIES; DRY DENSITY; ELECTROMAGNETIC METHODS; FINES CONTENT; INPUT PARAMETER; SANDY SOILS; SOIL CLASS; SOIL WATER CONTENT; TDR; TIME DOMAIN REFLECTOMETRY; WATER CONTENT MEASUREMENTS;

CALIBRATION; DENSITY (SPECIFIC GRAVITY); NEURAL NETWORKS; PERMITTIVITY; PERMITTIVITY MEASUREMENT; SAND; SOIL MOISTURE; TIME DOMAIN ANALYSIS;

GEOLOGIC MODELS;

ARTIFICIAL NEURAL NETWORK; CALIBRATION; ELECTROMAGNETIC METHOD; MEASUREMENT METHOD; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; PERMITTIVITY; SANDY SOIL; SOIL WATER; TIME DOMAIN REFLECTOMETRY; WATER CONTENT;

EID: 84871954314     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2012.11.019     Document Type: Article

References (41)

1. Adeli H. Neural networks in civil engineering: 1989-2000. Computer-Aided Civil and Infrastructure Engineering 2001, 16(2):126-142.
2. Anagu I., Ingwersen J., Utermann J., Streck T. Estimation of heavy metal sorption in German soils using artificial neural Networks. Geoderma 2009, 152(1-2):104-112.
3. ASTM D2487 Standard Practice for Classification of Soils for Engineering Purposes (Unified Soil Classification System) 2010, ASTM International, West Conshohocken, Pennsylvania, USA. 10.1520/D2487-10.
4. ASTM D6565 Standard Test Method for Determination of Water (Moisture) Content of Soil by the Time-Domain Reflectometry (TDR) Method. Annual Book of ASTM Standards 2005, Vol. 04.08:1118-1122. ASTM, West Conshohocken, Pennsylvania, USA.
5. ASTM D698 Standard Test Methods for Laboratory Compaction Characteristics of Soil Using Standard Effort 2007, ASTM International, West Conshohocken, Pennsylvania, USA. 10.1520/D0698-07E01.
6. Baker J.M., Allmaras R.R. System for automating and multiplexing soil moisture measurements by Time Domain Reflectometry. Soil Science Society of America Journal 1990, 54:1-6.
7. Bittelli M., Salvatorelli F., Pisa P.R. Correction of TDR-based soil water content measurements in conductive soils. Geoderma 2007, 143:133-142.
8. Cerny R. Time-domain reflectometry method and its application for measuring moisture content in porous materials: a review. Measurements 2009, 42:329-336.
9. Chen G.D., Sun S.S., Pommerenke D., Drewniak J.L., Greene G.G., McDaniel R.D., Belarbi A., Mu H.M. Crack detection of a full-scale reinforced concrete girder with a distributed cable sensor. Smart Materials and Structures 2005, 14:88-97.
10. Dawson C.W., Wilby R. An artificial neural network approach to rainfall-runoff modelling. Hydrological Science Journal 1998, 43:47-66.
11. Dekker S.C., Bouten W., Schaap M.G. Analysing forest transpiration model errors with artificial neural networks. Journal of Hydrology 2001, 246:97-208.
12. Ekblad J., Isacsson U. Time-domain reflectometry measurements and soil-water characteristic curves of coarse granular materials used in road pavements. Canadian Geotechnical Journal 2007, 44(7):858-872. 10.1139/t07-024.
13. Gautam M.R., Watanabe K., Saegusa H. Runoff analysis in humid forest catchment with artificial neural network. Journal of Hydrology 2000, 235:117-136.
14. Gong Y., Cao Q., Sun Z. The effects of soil bulk density, clay content and temperature on soil water content measurement using time-domain reflectometry. Hydrological Processes 2003, 17:3601-3614.
15. Hamed Y., Samy G., Persson M. Evaluation of the WET sensor compared to time domain reflectometry. Hydrological Sciences Journal 2006, 51(4):671-681.
16. Heathman G.C., Cosh M.H., Han E., Jackson T.J., Mckee L., McAfee S. Field scale spatiotemporal analysis of surface soil moisture for evaluating point-scale in situ networks. Geoderma 2012, 170:195-205.
17. Keng J.C.W., Topp G.C. Measuring water content of soil columns in the laboratory: a comparison of gamma ray attenuation and TDR techniques. Canadian Journal of Soil Science 1983, 63(1):37-43.
18. Kim D.J., Choi S.I., Ryszard O., Feyen J., Kim H.S. Determination of moisture content in a deformable soil using time-domain reflectometry (TDR). European Journal of Soil Science 2000, 51:119-127. 10.1046/j.1365-2389.2000.00284.
19. Kisi O. Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation. Hydrological Sciences Journal 2004, 49(6):1025-1040.
20. Ledieu J., De Ridder P., De Clerck P., Dautrebande S. A method of measuring soil moisture by time-domain reflectometry. Journal of Hydrology 1986, 88:319-328.
21. Lin Y.C., Zhang J., Zhong J. Application of neural networks to predict the elevated temperature flow behavior of a low alloy steel. Computational Materials Science 2008, 43:752-758.
22. Lin C., Tang S., Lin W., Chung C. Quantification of cable deformation with time domain reflectometry - implications to landslide monitoring. Journal of Geotechnical and Geoenvironmental Engineering 2009, 135(1):143-152.
23. Malicki M.A., Plagge R., Roth C.H. Improving the calibration of dielectric TDR soil moisture determination taking into account the solid soil. European Journal of Soil Science 1996, 47:357-366.
24. Marquardt D.W. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics 1963, 11(2):431-441.
25. Mc Culloch W.S., Pitts W.H. A logical calculus of the ideas immanent in neural nets. Bulletin of Mathematical Biophysics 1943, 5:115-133.
26. Nadler A., Green S.R., Vogeler I., Clothier B.E. Laboratory horizontal and vertical TDR measurements of soil water content and electrical conductivity. Soil Science Society of American Journal 2002, 66:735-743.
27. Noborio K. Measurement of soil water content and electrical conductivity by time domain reflectometry: a review. Computers and Electronics in Agriculture 2001, 31:213-237.
28. Notarnicola C., Angiulli M., Posa F. Soil moisture retrieval from remotely sensed data: neural network approach versus Bayesian method. IEEE Transactions on Geoscience and Remote Sensing 2008, 46(2):547-557.
29. Persson M., Uvo C.B. Estimating soil solution electrical conductivity from time domain reflectometry measurements using neural networks. Journal of Hydrology 2003, 273:249-256.
30. Persson M., Sivakumar B., Berndttson R., Jacobsen O.B., Schjønning P. Predicting the dielectric constant-water content relationship using artificial neural networks. Soil Science Society of American Journal 2002, 66:1424-1429.
31. Regalado C.M. A physical interpretation of logarithmic TDR calibration equations of volcanic soils and their solid fraction permittivity based on Lichtenecker's mixing formulae. Geoderma 2004, 123:41-50.
32. Schaap M.G., Leij F.J., van Genuchten M.Th. ROSETTA: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. Journal of Hydrology 2001, 251:163-176.
33. Shahin M.A., Jaksa M.B., Maier H.R. State of the art of artificial neural networks in geotechnical engineering. Electronic Journal of Geotechnical Engineering 2008, 8:1-26.
34. Siddiqui S.I., Drnevich V.P. Use of Time Domain Reflectometry for Determination of Water Content and Density of Soil, Publication FHWA/IN/JHRP-95/09 1995, Joint Highway Research Project, Indiana Department of Transportation and Purdue University, West Lafayette, Indiana. 10.5703/1288284313342.
35. Stangl R., Buchan G.D., Loiskandl W. Field use and calibration of a TDR-based probe for monitoring water content in a high-clay landslide soil in Austria. Geoderma 2009, 150(1-2):23.
36. Sung A.H. Ranking importance of input parameters of neural networks. Expert Systems with Applications 2008, 15:405-411.
37. Topp G.C., Davis J.L., Annan A.P. Electromagnetic determination of soil water content: measurements in coaxial transmission lines. Water Resources Research 1980, 16(3):574-582. 10.1029/WR016i003p00574.
38. Topp G.C., Davis J.L., Annan A.P. Electromagnetic determination of soil water content using TDR: I. applications to wetting front and steep gradients. Soil Science Society of America Journal 1982, 46:672-678.
39. Topp G.C., Davis J.L., Bailey W.G., Zebchuk W.D. The measurement of soil water content using a portable TDR hand probe. Canadian Journal of Soil Science 1984, 64(3):313-321.
40. Topp C.G., Davis J.L., Annan A.P. The early development of TDR for soil measurements. Vadose Zone Journal Soil Science Society of America Journal 2003, 2:492-499.
41. Yu X.B., Yu X. Assessment of an automation algorithm for TDR bridge scour monitoring system. Advances in Structural Engineering 2011, 14(1):13-24. 10.1260/1369-4332.14.1.13.