Identification of soil porosity using geophysical and geotechnical observation for agricultural application
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Abstract
Results indicated that sand dominated the soil structure of the soil, and the degree of sand domination varied among locations. Both apparent soil electrical resistivity and soil porosity declined with the increasing soil depth. A positive linear relationship between those soil characteristics was found for all locations with the largest increment in predicted soil porosity along with the increase in apparent soil electrical resistivity. The findings of this study imply that soil porosity can be predicted by measuring its apparent electrical resistivity using a geo-electrical method and, therefore, they can be used for managing irrigation during crop production.
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References
Aizebeokhai, A. P. and Oyeyemi, K. D. (2015). Application of geoelectrical resistivity imaging and VLF-EM for subsurface characterization in a sedimentary terrain, Southwestern Nigeria. Arabian Journal of Geosciences, 8:4083-4099.
Anuar, U. M. and Nordiana, M. M. (2018). Aquifer detection using 2-D resistivity method and porosity calculation. Jurnal Teknologi, 80:149-158.
Corwin, D. L. and Lesch, S. M. (2005). Apparent soil electrical conductivity measurements in agriculture. Computers and electronics in agriculture, 46:11-43.
Dahlin, T., Aronsson, P. and Thörnelöf, M. (2014). Soil resistivity monitoring of an irrigation experiment. Near surface geophysics, 12:35-44.
Eluozo, S. N. and Oba, A. L. (2018). Establishing porosity and bulk density analysis effect on foundation and flexible pavement in heterogeneous sand and silty formation. Material Science and Engineering International Journal, 2:118-123.
Franzluebbers, A. J. (2011). Stratification of soil porosity and organic matter. Encyclopedia of Agrophysics, 858-861.
Friedman, S. P. (2005). Soil properties influencing apparent electrical conductivity: a review. Computers and electronics in agriculture, 46:45-70.
Fu, Y., Tian, Z., Amoozegar, A. and Heitman, J. (2019). Measuring dynamic changes of soil porosity during compaction. Soil and Tillage Research, 193:114-121.
Glover, P. W. (2016). Archie's law–a reappraisal. Solid Earth, 7:1157-1169.
Hakamada, M., Kuromura, T., Chen, Y., Kusuda, H. and Mabuchi, M. (2007). Influence of porosity and pore size on electrical resistivity of porous aluminum produced by spacer method. Materials transactions, 48:32-36.
Islam, T. and Chik, Z. (2013). Improved near-surface soil characterizations using a multilayer soil resistivity model. Geoderma, 209:136-142.
Johannes, A., Weisskopf, P., Schulin, R. and Boivin, P. (2019). Soil structure quality indicators and their limit values. Ecological indicators, 104:686-694.
Key, G., Whitfield, M. G., Cooper, J., De Vries, F. T., Collison, M., Dedousis, T., Heathcote, R., Roth, B., Mohammed, S., Molyneux, A., Van der Putten, W. H., Dicks1 L. V., Sutherland, W. J. and Bardgett, R. D. (2016). Knowledge needs, available practices, and future challenges in agricultural soils. Soil, 2:511-521.
Kwoyiga, L. and Stefan, C. (2018). Groundwater development for dry season irrigation in North East Ghana: The place of local knowledge. Water, 10
Loke, M. H., Rucker, D. F., Chambers, J. E., Wilkinson, P. B. and Kuras, O. (2020). Electrical resistivity surveys and data interpretation. In Encyclopedia of solid earth geophysics (pp.1-6). Cham: Springer International Publishing.
Mase, L. Z. (2020). Seismic hazard vulnerability of Bengkulu City, Indonesia, based on deterministic seismic hazard analysis. Geotechnical and Geological Engineering, 38:5433-5455.
Mase, L. Z. and Anggraini, P. W. (2021). Local site investigation and ground response analysis on downstream area of Muara Bangkahulu River, Bengkulu City, Indonesia. Indian Geotechnical Journal, 51:952-966.
Parr, J. F., Hornick, S. B. and Papendick, R. I. (1994). Soil quality: the foundation of a sustainable agriculture. US Department of Agriculture: Washington, DC, USA, 73-79.
Pagliai, M. and Vignozzi, N. (2002). The soil pore system as an indicator of soil quality. Advances in GeoEcology, 35:69-80.
Quintana-Ashwell, N. E. and Gholson, D. M. (2022). Optimal Management of Irrigation Water from Aquifer and Surface Sources. Journal of Agricultural and Applied Economics, 54:496-514.
Rabot, E., Wiesmeier, M., Schlüter, S. and Vogel, H. J. (2018). Soil structure as an indicator of soil functions: A review. Geoderma, 314:122-137.
Rathoure, A. K. (2019). Soil Quality and Soil Sustainability: Sustainable Agro-Ecosystem Management. In Amelioration Technology for Soil Sustainability (pp. 46-58). IGI Global.
Reynolds, J. M. (2011). An introduction to applied and environmental geophysics. John Wiley & Sons.
Roy, T. and George K, J. (2020). Precision farming: A step towards sustainable, climate-smart agriculture. Global climate change: Resilient and smart agriculture, 199-220.
Strock, C. F., Rangarajan, H., Black, C. K., Schäfer, E. D. and Lynch, J. P. (2022). Theoretical p capture. Annals of Botany, 129:315-330.
Ünal, I., Kabaş, Ö. and Sözer, S. (2020). Real-time electrical resistivity measurement and mapping platform of the soils with an autonomous robot for precision farming applications. Sensors, 20:251.
Usharani, K. V., Roopashree, K. M. and Naik, D. (2019). Role of soil physical, chemical and biological properties for soil health improvement and sustainable agriculture. Journal of Pharmacognosy and Phytochemistry, 8:1256-1267.
