INVERSI DATA GEOLISTRIK MENGGUNAKAN PARTICLE SWARM OPTIMIZATION: STUDI KASUS DESA GAYAU
DOI:
https://doi.org/10.23960/jge.v7i2.118Keywords:
Aquifer, Gayau, Particle Swarm Optimization (PSO), VESAbstract
Desa Gayau yang terletak di Kecamatan Padang Cermin, Kabupaten Pesawaran sering mengalami kekeringan air pada saat musim kemarau sehingga perlu dilakukannya pengukuran geolistrik untuk mengidentifikasi keberadaan lapisan akuifer air tanah. Pada penelitian ini konfigurasi yang digunakan adalah Schlumberger dengan panjang bentangan MN/2 sebesar 1, 5, 10, dan 20 meter. Sedangkan panjang bentangan AB/2 sebesar 6 hingga 300 meter. Pada tahapan inversi data VES, kami menggunakan algoritma Particle Swarm Optimization (PSO) untuk memperoleh nilai parameter resistivitas dan ketebalan lapisan. Algoritma ini dipilih karena cepat menuju konvergen dan relatif stabil. Hasil dari inversi ini diperoleh bahwa lapisan akuifer pertama berada pada kedalaman 21.4 - 52.1 meter dengan litologi batupasir berbutir halus dengan sisipan tufa Lapisan akuifer kedua berada pada kedalaman 52.1-70 meter dengan litologi breksi. Pada kedalaman >70 meter diinterpretasikan sebagai akuifer air tanah, namun memiliki debit yang kecil. Hal ini disebabkan karena litologi lapisan berupa breksi, dasit dan lava basal dari Formasi Hulusimpang. Sistem aliran air tanah pada lapisan ini merupakan sistem media pori yang berakibat pada debit rendah dan waktu pengisian kembali lapisan air tanah relatif lama.
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