Amir, Moh. Faisal (2019) Karakterisasi Sedimen Sungai Brantas Berdasarkan Sifat Magnetik dan Kandungan Logam Berat untuk Menentukan Korelasi Parameter Magnetik dengan Tingkat Pencemaran. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pencemaran berat terjadi di hilir Sungai Brantas yang bersumber dari limbah domestik rumah tangga dan limbah beracun dari industri. Tingkat pencemaran sungai dapat ditinjau dengan pengamatan sifat magnetik yaitu mengkorelasikan antara intensitas kandungan logam berat dengan nilai magnetik pada sampel sedimen. Ilmu kemagnetan lingkungan banyak diterapkan dalam bidang identifikasi pengaruh logam berat terhadap sedimen. Data yang digunakan adalah sampel sedimen sepanjang Sungai Brantas. Sampel diambil di 20 titik dari hilir DAM Mlirip Mojokerto hingga hulu di kota Batu jarak antar titik 11-13 km, dengan total panjang 250 km. Metode yang digunakan di penelitian ini adalah pengukuran suseptibiltias magnetik, analisis AAS (Atomic Absorption Spectroscopy), dan analisis XRD (X-Ray Diffraction). Hasil dari penilitian diperoleh nilai XLF 844 x 10-8 m3kg-1-7231,4 x 10-8 m3kg-1, kandungan logam berat Cu 49,4 ppm, Co 22,4 ppm, 49,9 ppm, Fe 102.430,0 ppm, dan Mn 1891,5 ppm, dengan hasil korelasi antara XLF dengan kandungan logam berat Cu -0,45, Co 0,65, Cr 0,36, Fe 0,7, dan Mn 0,07. Berdasarkan kondisi geologi dan letak pengmbilan sampel, titik BK hingga BT (wilayah batuan Qvlh, Qpkb, dan Qva) Menunjukan nilai yang lebih besar (2058.23 x 10-8 m3kg-1) daripada titik sampel BA hingga BJ (formasi batuan Qa) dengan nilai suseptibilitas 4079.089 x 10-8 m3kg-1. Nilai korelasi yang kecil dan perbedaan nilai suseptibilatas yang besar menunjukan terdapat pengaruh dari batuan vulkanik, sehingga pada kondisi geologi dengan sifat magnetik batuan yang heterogen intensitas logam berat tidak dapat dikorelasikan dengan sifat Magnetik.
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Heavy pollution phenomenon which contaminate Brantas River downstream, comes from domestic waste and toxic waste from industry. This study identified river pollution levels by observing magnetic properties, which is correlating the intensity of heavy metal content with the magnetic values in sediment samples. Environmental magnetism is widely applied in the field of identifying the influence of heavy metals on sediments. The data used in this study are sediment samples along the Brantas River. Samples were taken at 20 location points, start from the downstream of DAM Mlirip Mojokerto until the upstream in Batu city, which the distance used between points was 11-13 km, with a total length of 250 km. The method used in this study is the measurement of magnetic susceptibility, AAS analysis (Atomic Absorption Spectroscopy), and X-Ray Diffraction analysis. The results of the study obtained XLF 844 ( x 10-8 m3kg-1) - 7231.4 (x 10-8 m3kg-1) values, metal content of Cu 49.4 ppm, Co 22.4 ppm, 49.9 ppm, Fe 102,430.0 ppm, and Mn 1891.5 ppm, with the results of the correlation between XLF with Cu heavy metal content of -0.45, Co 0.65, Cr 0.36, Fe 0.7, and Mn 0.07. Based on geological conditions and location of sample collection, point BK to BT (rock region Qvlh, Qpkb, and Qva) shows a greater value (2058.23 x 10-8 m3kg-1) than the sample of point BA to BJ (Qa rock formation) with susceptibility value of 4079,089 x 10-8 m3kg-1. Small correlation values and large differences in susceptibility values indicate the effects of volcanic rocks, so that in geological conditions with heterogeneous magnetic properties of rocks the intensity of heavy metals cannot be correlated with magnetic properties.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Kemagnetan lingkungan, Suseptibilitas, Korelasi, logam berat, dan Sungai Brantas |
| Subjects: | Q Science > QE Geology > QE571 Sedimentation and deposition. Sediment transport. Erosion. Q Science > QE Geology > QE601 Geology, Structural |
| Divisions: | Faculty of Civil Engineering and Planning > Geophysics Engineering > 33201-(S1) Undergraduate Thesis |
| Depositing User: | Moh. Faisal Amir |
| Date Deposited: | 23 Jul 2026 00:36 |
| Last Modified: | 23 Jul 2026 00:36 |
| URI: | http://repository.its.ac.id/id/eprint/67913 |
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