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rahimian, M., Hasheminejhad, Y. (2011). Calibration of Electromagnetic Induction Device (EM38) for Soil Salinity Assessment. , 24(3), 243-252. doi: 10.22092/ijsr.2011.126638
mh rahimian; Y. Hasheminejhad. "Calibration of Electromagnetic Induction Device (EM38) for Soil Salinity Assessment". , 24, 3, 2011, 243-252. doi: 10.22092/ijsr.2011.126638
rahimian, M., Hasheminejhad, Y. (2011). 'Calibration of Electromagnetic Induction Device (EM38) for Soil Salinity Assessment', , 24(3), pp. 243-252. doi: 10.22092/ijsr.2011.126638
rahimian, M., Hasheminejhad, Y. Calibration of Electromagnetic Induction Device (EM38) for Soil Salinity Assessment. , 2011; 24(3): 243-252. doi: 10.22092/ijsr.2011.126638

Calibration of Electromagnetic Induction Device (EM38) for Soil Salinity Assessment

پژوهش های خاک
Volume 24, Issue 3, March 2011, Pages 243-252    PDF (1.65 M)
Document Type: Research Paper
DOI: 10.22092/ijsr.2011.126638
Authors
mh rahimian* 1; Y. Hasheminejhad2
1Irrigation and drainage expert, RS and GIS Dept, National Salinity Research Center (NSRC), Yazd
2Faculty member, Irrigation and soil physics department, National Salinity Research Center (NSRC), Yazd;
Abstract
Electromagnetic induction tools are extensively applied worldwide for rapid evaluation of spatial variability in soil salinity. This study was conducted in pistachio orchards of Chah Afzal area of Yazd Province for assessment of soil salinity using electromagnetic induction (EM38) device in two plots of 45 and 40 ha with clay loam soils and average moisture contents of 25 and 35 percents, respectively. A systematic sampling grid with the size of 20×80m was established. At each grid point two EM38 readings were taken in horizontal (EMh) and vertical (EMv) orientations. Different calibration equations were employed for conversion of the readings to electrical conductivity of the saturation paste and the best method was selected. Results of this study showed that the best calibration method was multiple linear regression equations fitted to the field data. It was also found that more reliable regression equations could be derived at 35% moisture content in comparison with 25% moisture content between soil salinity at different depths of soil and horizontal/vertical readings, with correlation coefficients (R2) of 0.67 to 0.85, respectively. Consequently, soil salinity maps of different depth intervals and also soil salinity profile maps at upstream and downstream of the field borders were generated and interpreted. 
Keywords
Soil salinity; Mapping; Electromagnetic Induction (EM38); Calibration; Chah Afzal
References
  1. Abdel Ghany, M.B, Hussein A.M., Omara M.A., EI-Nagar H.M, 2000, Testing Electromaqgnetic Ineuction Device (EM 38) under Egyptian Conditions, EM38 Workshop, New Delhi, India.
  2. Alavi Panah S.K., and Zehtabian G.R., 2001, Remote sensing and GIS Tools for Planning and Management, International Conference of New Technology for a New Century, Seoul, Korea.
  3. Alavi panah S.K., and zehtabian G.R., 2002, A Database Approach for Soil Salinity Mapping and Generalization from Remotely Sensed Data and Geographic Information System, FIG XXII International Congress, Washington, D.C. USA.
  4. Cheraghi S.A.M., Y. Hasheminejhad and M.H. Rahimian. 2007a, An overview of Salinity Problem in Iran: Assessment and Monitoring Technology. First Expert Consultation on “Advances in Assessment and Monitoring of Salinization for Managing Salt-affected Habitats” of the Global Network on Salinization Prevention and Productive Use of Salt-Affected Habitats (SPUSH) and Meeting on the Status and Progress of Biosaline Agriculture of the Inter-Islamic Network on Biosaline Agriculture. Dubai, UAE.
  5. Corwin D.L., Lobell D.B, Lesch S.M., Ulmer M., Anderson, Potts D., Doolittle J., Matos M., and Baltes M., 2009, Salinity Assessment of the Red River Valley Using MODIS and Electromagnetic Induction Directed Soil Sampling: Phase I.
  6. Eldeiry A., and L. Garcia, 2008, Spatial modeling of soil salinity using remote sensing, GIS and field data, VDM, Lightning Source UK Ltd., Milton Keynes UK, pp. 98.
  7. Heath, J., Challis, P., Norman, C., 1999, Manual for Calibration of EM38. Agriculture Victoria- Natural Resources & Environment. Institute of Sustainable Irrigated Agriculture. 1-9.
  8. Johnston, M.A., Savage, M.J., M.J., Moolman, J.H., DU Plessis, H.M., 1996, Calibration Models for Interpretation of Soil Salinity Measurements Using an Electromagnetic Induction Technique. South Africa Journal, Plant Grond 1996, 13(4). Water Research Commission, South Africa. 1-6.
  9. Lobell D. B., 2004, Mapping Regional Salinity with Remote Sensing, 2004 EPA graduate fellowship conference, Stanford University, Stanford, CA.
  10. Mcneill, J.D. 1980a, Electrical conductivity of soil and rocks. Technical note TN-5 Geonics Ltd. Mississauga, Ontario, Canada, p.21
  11. Metternich, G.I. and Zinck, J.A. 2002, Remote Sensing of soil salinity: potentials and constraints. Remote sensing of Environment 85,1-20.
  12. Mcneill, J.D. 1980b, Electromagnetic terrain conductivity measurements at low induction numbers. Technical note TN-5 Geonics Ltd. Mississauga, Ontario, Canada, p.15
  13. Rahimian, M. H., Y. Hasheminejhad, and S. A. M. Cheraghi, 2007, Use of EM38 for salinity assessment in irrigated fields (unpublished data).
  14. Rhoades, J.D. 1976, Measuring, mapping and monitoring field salinity and water depths with soil resistance measurements. FAO Soils Bulletin, 31: 69-1 09.
  15. Rhoades, J.D., F. Chanduvi and S.M. Lesch, 1999, Soil Salinity Assessment Methods and Interpretation of Electrical Conductivity Measurements, FAO Irrigation and Drainage Paper, No. 57, Rome, Italy. 152 pp.
  16. Rhoades, J.D. and Ingvalson, R.D. 1971, Determining Salinity in Field Soils with Soil Resistance Measurements. Soil Science Society of America Proceedings, 35: 54-60
  17. Sharma D.P. and Gupta S.K., 2000, Application of EM38 for Soil Salinity Appraisal: an Indian Experience, EM38 Workshop, New Delhi, India.
  18. Vlotman W. F., 2000, Calibrating of EM38, EM38 Workshop, New Delhi, India.
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