Nurcahyono, Eko Trisantoro (2025) Efektivitas GNSS Dalam Mendeteksi Debu Vulkanik Untuk Pelayanan Informasi Cuaca Penerbangan. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Aktivitas gunung dalam bentuk erupsi sering disertai dengan debu vulkanik yang dapat berbahaya bagi keselamatan penerbangan. MWO (Meteorological Watch Office) memiliki kewajiban untuk melakukan identifikasi sebaran debu vulkanik untuk melaksanakan regulasi annex 3 ICAO no. 49. Informasi sebaran debu vulkanik didapatkan dari VAAC (Vulcanic Ash Advisroy Center) Darwin dan disebarkan dalam bentuk informasi SIGMET kepada pilot pesawat terbang. Deteksi sebaran debu vulkanik saat ini mengandalkan citra satelit seperti Himawari, namun dapat mengalami bias ketika puncak gunung tertutup awan Cumulonimbus. Penelitian ini bertujuan untuk menguji efektivitas Global Navigation Satellite System (GNSS) sebagai metode alternatif untuk mendeteksi keberadaan debu vulkanik melalui analisis Zenith Tropospheric Delay (ZTD). Studi kasus dilakukan pada erupsi Gunung Ibu, Maluku Utara (Juni 2024) dan Gunung Lewotobi Laki-laki, Nusa Tenggara Timur (November 2024). Data ZTD dari stasiun CORS di sekitar lokasi diolah menggunakan metode Precise Point Positioning dan dikorelasikan dengan informasi sebaran debu vulkanik dari berita SIGMET dan citra satelit Himawari. Hasil analisis korelasi Point-Biserial menunjukkan hubungan yang kompleks: erupsi Gunung Ibu menghasilkan korelasi negatif yang sangat lemah (rpb =−0.0320), sedangkan erupsi Gunung Lewotobi Laki-laki menunjukkan korelasi positif yang lemah (rpb =0.1274). Meskipun kedua korelasi ini signifikan secara statistik (p-value < 1e-10), kekuatan hubungan yang lemah mengindikasikan bahwa sinyal ZTD sangat dipengaruhi oleh kondisi meteorologis dan cakupan spasial SIGMET. Berdasarkan penelitian dapat disimpulkan bahwa ZTD dari GNSS menunjukkan potensi sebagai instrumen pendukung untuk memantau gangguan atmosfer akibat erupsi bagi pelayanan informasi cuaca penerbangan.
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Volcanic activity in the form of eruptions is often accompanied by volcanic dust which can be dangerous to flight safety. The MWO (Meteorological Watch Office) is obliged to identify the distribution of volcanic dust to implement ICAO Annex 3 regulation no. 49. Information on the distribution of volcanic dust is obtained from the Darwin VAAC (Vulcanic Ash Advisory Center) and is distributed in the form of SIGMET information to aircraft pilots. Detection of the distribution of volcanic dust currently relies on satellite imagery such as Himawari-9, but can be biased when the mountain peak is covered by Cumulonimbus clouds. This study aims to test the effectiveness of the Global Navigation Satellite System (GNSS) as an alternative method to detect the presence of volcanic dust through Zenith Tropospheric Delay (ZTD) analysis. Case studies were conducted on the eruption of Mount Ibu, North Maluku (June 2024) and Mount Lewotobi Laki – Laki, East Nusa Tenggara (November 2024). ZTD data from CORS stations around the location were processed using the Precise Point Positioning method and correlated with volcanic ash distribution information from SIGMET news and Himawari-9 satellite imagery. The results of the Point-Biserial correlation analysis showed a complex relationship: the eruption of Mount Ibu produced a very weak negative correlation (−0.0320), while the eruption of Mount Lewotobi Laki – Laki showed a weak positive correlation (0.1274). Although both correlations were statistically significant (p-value < 1e-10), the weak strength of the relationship indicated that the ZTD signal was greatly influenced by meteorological conditions and the spatial coverage of SIGMET. It can be concluded that ZTD from GNSS shows potential as a supporting instrument for monitoring atmospheric disturbances due to eruptions for aviation weather information services.
| Item Type: | Thesis (Masters) |
|---|---|
| Uncontrolled Keywords: | Debu Vulkanik, GNSS, Satelit Himawari, Sigmet GNSS, Himawari Sattelite, SIGMET, Volcanic Ash |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis |
| Depositing User: | Eko Trisantoro Nurcahyono |
| Date Deposited: | 29 Jul 2025 08:26 |
| Last Modified: | 29 Jul 2025 08:26 |
| URI: | http://repository.its.ac.id/id/eprint/122698 |
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