Identification of the Distribution and Volume of Iron Sand in the Gura Beach Area Using the Wenner-Schlumberger Configuration Geoelectric Method
DOI:
https://doi.org/10.58524/ijhes.v2i2.253Keywords:
iron sand, wenner-schlumberger configuration, res2dinv software, rockwork software, x-ray flourencenceAbstract
The Naniura NRD300 HF tool has been used in research using the Wenner-Schlumberger configuration geoelectric method to determine the direction of iron sand distribution, the volume of iron sand, and the concentration of iron sand in the Gura beach area. The collected measurement results are then processed by the RES2DINV software into a 2 Dimension (2D) cross-section that shows the distribution values of the subsurface layer as shown by a color image. Once saved in (.xyz) format, the RES2DINV software results are processed in RockWork software to create pseudo-3D cross sections. The RES2DINV software's results show that line 1's resistivity value ranges from 39.6 to 1000 Ωm, whereas line 2's resistivity value ranges from 0.16 to 1.7 Ωm. These findings suggest that line 2 has a lower resistivity value than line 1 does. The volume of iron sand processed by RockWork software is 221,000 cubic meters for linek 2 and 273,000 cubic meters for line 1. The distribution of iron sand deposits in the study region is south to north, based on the volume of iron sand in line 1, which is bigger. A method used to determine the composition of the minerals present in a sample is called X-ray fluorescence (XRF). The results of analyzing the Fe content in line 2 are 55.01%, which is higher when compared to the Fe content in line 1, which is 40.5%.
References
Aizebeokhai, A. P., & 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(6), 4083–4099. https://doi.org/10.1007/s12517-014-1482-z
Cescon, A., & Jiang, J. Q. (2020). Filtration process and alternative filter media material in water treatment. Water (Switzerland), 12(12), 1–20. https://doi.org/10.3390/w12123377
Chorus, I., & Bartram, J. (1999). Toxic Cyanobacteria in Water: A guide to their public health consequences, monitoring and management. In Cytometry Part A (Vol. 95, Issue 8). E & FN Spon, an imprint of Routledge. https://doi.org/10.1002/cyto.a.23870
Hayashi, K., & Korecki, P. (2018). X-ray Fluorescence Holography : Principles , Apparatus , and Applications d ± H. 061003, 1–11. https://doi.org/10.7566/JPSJ.87.061003
Jamaluddin, & Umar, E. P. (2018). Identification of subsurface layer with Wenner-Schlumberger arrays configuration geoelectrical method. IOP Conference Series: Earth and Environmental Science, 118(1). https://doi.org/10.1088/1755-1315/118/1/012006
Pratiwi, E. S., Sartohadi, J., & Wahyudi. (2019). Geoelectrical Prediction for Sliding Plane Layers of Rotational Landslide at the Volcanic Transitional Landscapes in Indonesia. IOP Conference Series: Earth and Environmental Science, 286(1). https://doi.org/10.1088/1755-1315/286/1/012028
Pushie, M. J., Pickering, I. J., Korbas, M., Hackett, M. J., & George, G. N. (2014). Elemental and Chemically Speci fi c X ‑ ray Fluorescence Imaging of Biological Systems.
Sadjab, B. A., Indrayana, I. P. T., Iwamony, S., & Umam, R. (2020). Investigation of The Distribution and Fe Content of Iron Sand at Wari Ino Beach Tobelo Using Resistivity Method with Werner-Schlumberger Configuration. Jurnal Ilmiah Pendidikan Fisika Al-Biruni, 9(1), 141–160. https://doi.org/10.24042/jipfalbiruni.v9i1.5394
Satria, B., Masrurah, Z., & Fajar, S. J. (2021). Heliyon Magnetic susceptibility and grain size distribution as prospective tools for selective exploration and provenance study of iron sand deposits : A case study from Aceh , Indonesia. Heliyon, 7(March 2020), e08584. https://doi.org/10.1016/j.heliyon.2021.e08584
Satriani, A., Loperte, A., Imbrenda, V., & Lapenna, V. (2012). Geoelectrical surveys for characterization of the coastal saltwater intrusion in metapontum forest reserve (Southern Italy). International Journal of Geophysics, 2012. https://doi.org/10.1155/2012/238478
Tanii, H., Inazumi, T., & Terashima, K. (2014). Mineralogical Study of Iron Sand with Different Metallurgical Characteristic to Smelting with Use of Japanese Classic Iron- making Furnace “ Tatara .†54(5), 1044–1050.
Telford, W. M., & W.M. Telford, L. P. G. and R. E. S. (2004). Applied Geophysics (Second). Press Syndicate of the Univesity of Cambridge.
Togibasa, O., Bijaksana, S., & Novala, G. C. (2018). Magnetic Properties of Iron Sand from the Tor River. 1–7. https://doi.org/10.3390/geosciences8040113
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