Mudhofir, Ferry Ath Thaariq (2024) Analisis Data Vertical Electrical Sounding (VES) untuk Identifikasi Akuifer di Kabupaten Madiun Menggunakan PyGIMLi. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Di Kabupaten Madiun, terutama di Desa Dawuhan, Kuwu, Ngetrep, Segulung, dan Tapelan, peningkatan populasi dan kebutuhan akan air bersih memicu pentingnya eksplorasi sumber air bawah permukaan, khususnya air tanah. Penelitian ini menggunakan metode geolistrik resistivitas Vertical Electrical Sounding (VES) dengan konfigurasi Schlumberger untuk mengidentifikasi struktur lapisan bawah permukaan dan distribusi akuifer air tanah di lokasi penelitian. Analisis data VES dilakukan menggunakan PyGIMLi, yakni sebuah library open-source berbasis Python yang dapat digunakan untuk pemodelan inversi data geofisika. Performa dan tingkat akurasi PyGIMLi diuji terlebih dahulu berdasarkan data sintetik tipe K, Q, H, dan A dengan tiga lapisan. Proses inversi menggunakan algoritma Levenberg-Marquardt dengan 50 model awal yang berbeda, dan masing-masing parameter awal dipilih secara acak dalam batasan yang ditentukan. Hasil pengujian menunjukkan bahwa algoritma dalam fungsi dan modul PyGIMLi bekerja dengan sangat baik dan mampu merekonstruksi parameter model dengan tingkat akurasi yang tinggi. Implementasi PyGIMLi dalam analisis VES data lapangan juga menunjukkan keselarasan dan kesesuaian yang tinggi berdasarkan hasil komparasi dengan perangkat lunak Res1Dinv dan IPI2win. Dengan demikian, PyGIMLi layak untuk dipertimbangkan sebagai alat alternatif yang efektif dalam pemodelan inversi VES. Interpretasi data PyGIMLi juga berhasil mengidentifikasi keberadaan dan karakteristik akuifer di beberapa desa di Kabupaten Madiun, dengan tingkat produktivitas sedang hingga tinggi di kedalaman 5 hingga 97 meter di Desa Dawuhan, Ngetrep, Segulung, dan Tapelan.
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In Madiun Regency, particularly in the villages of Dawuhan, Kuwu, Ngetrep, Segulung, and Tapelan, the increase in population and demand for clean water has highlighted the importance of exploring subsurface water sources, especially groundwater. This research utilizes the geoelectric resistivity method of Vertical Electrical Sounding (VES) with the Schlumberger configuration to identify the subsurface layer structure and groundwater aquifer distribution at the study sites. The VES data analysis is conducted using PyGIMLi, an open-source Python-based library that can be used for geophysical data inversion modeling. The performance and accuracy of PyGIMLi were first tested using synthetic data of K, Q, H, and A types with three layers. The inversion process employed the Levenberg-Marquardt algorithm with 50 different initial models, each with parameters randomly selected within defined constraints. The test results showed that the algorithms in the PyGIMLi functions and modules worked very well and were able to reconstruct model parameters with high accuracy. The implementation of PyGIMLi in the analysis of field VES data also showed high alignment and consistency based on comparisons with the Res1Dinv and IPI2win software. Thus, PyGIMLi is worth considering as an effective alternative tool for VES inversion modeling. PyGIMLi data interpretation also successfully identified the presence and characteristics of aquifers in several villages in Madiun Regency, with moderate to high productivity at depths ranging from 5 to 97 meters in Dawuhan, Ngetrep, Segulung, and Tapelan.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Aquifer, Akuifer, Geoelectric, Geolistrik, Madiun Regency, Kabupaten Madiun, VES, PyGIMLi |
| Subjects: | G Geography. Anthropology. Recreation > GB Physical geography > GB1003.2 Groundwater. Q Science > QC Physics |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Ferry Ath Thaariq Mudhofir |
| Date Deposited: | 09 Aug 2024 02:44 |
| Last Modified: | 25 Sep 2024 02:02 |
| URI: | http://repository.its.ac.id/id/eprint/112792 |
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