Το work with title Estimating soil clay content using an agrogeophysical and agrogeological approach: a case study in Chania plain, Greece by Kritikakis Georgios, Kokinou, Eleni, Oikonomou Nikolaos, Andronikidis Nikolaos, Brintakis Ioannis, Daliakopoulos Ioannis, Kourgialas Nektarios, Pavlaki Aikaterini, Fasarakis Giorgos, Markakis Nikolaos, Soupios, Pantelis, 1973-, Manios Thrassyvoulos, Vafeidis Antonios is licensed under Creative Commons Attribution 4.0 International
Bibliographic Citation
G. Kritikakis, E. Kokinou, N. Economou, N. Andronikidis, J. Brintakis, I. N. Daliakopoulos, N. Kourgialas, A. Pavlaki, G. Fasarakis, N. Markakis, P. Soupios, T. Manios and A. Vafidis, “Estimating soil clay content using an agrogeophysical and agrogeological approach: a case study in Chania plain, Greece,” Water, vol. 14, no. 17, Aug. 2022, doi: 10.3390/w14172625.
https://doi.org/10.3390/w14172625
Thorough knowledge of soil lithology and its properties are of considerable importance to agriculture. These parameters have a direct impact on water permeability and the content of the water in soil, which represent significant factors in crop yield, decisively determining the design of irrigation systems and farming processes. In the framework of this study, and considering the inevitable impacts of climate change, the rational management of water resources and the optimization of irrigation through innovative technologies become of significant importance. Thus, we propose an interdisciplinary approach based on robust techniques from the allied fields of earth (geological mapping, geophysical methods) and soil sciences (sampling, mechanical analysis) assisted by statistics and GIS techniques. Clay or the sum of clay and silt soil content is successfully determined from the normalized chargeability using induced polarization and electrical resistivity techniques. Finally, we distinguished three classes (S1, S2 and S3) considering the clay or the sum of clay and silt soil content in the study area (a) based on the dry period geophysical data and (b) using as classification criterion the spatial distribution of the geological formations.