Alfarizi, Mohammad Rifqi (2026) Analisis Vertical Column Height (VCH) Menggunakan Data Citra Satelit Sentinel-5P Dan Data Sensor Kualitas Udara (Studi Kasus: Kota Surabaya). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Analisis kualitas udara perkotaan merupakan salah satu isu yang penting dan memerlukan pemantauan yang menyeluruh, namun masih terkendala oleh jumlah dan keterbatasan cakupan spasial sensor permukaan kualitas udara. Satelit Sentinel-5P TROPOMI dapat dimanfaatkan sebagai solusi pemantauan AQ (Air Quality) dengan memanfaatkan hasil citranya yang dapat menangkap jumlah polutan dalam satu meter persegi kolom udara (mol/m²). VCD (Vertical Column Density) yang merupakan data jumlah polutan dalam satu meter persegi (mol/m²) perlu dilakukan konversi ke satuan permukaan (µg/m³) yang digunakan dalam standar baku mutu udara. Konversi diantara keduanya memerlukan parameter Vertical Column Height (VCH), yaitu tinggi efektif kolom polutan di atmosfer. Penelitian sebelumnya mengasumsikan bahwa VCH (m) bernilai konstan, padahal kondisi atmosfer bersifat dinamis. Penelitian ini menghitung VCH (m) secara empiris dengan rentang harian melalui pemasangan data secara kotemporal dan kospasial data Sentinel-5P dan sensor in-situ DLH di stasiun Kebonsari dan Wonorejo untuk polutan SO₂, CO, dan NO₂ selama Januari–Desember 2024. Hasil menunjukkan VCH (m) bervariasi signifikan secara harian dan bulanan, membuktikan pendekatan VCH (m) statis tidak representatif. Korelasi VCD terhadap konsentrasi in-situ menghasilkan korelasi dengan urutan SO₂ (r = 0,1317; R² = 1,74%), NO₂ (r = 0,0867; R² = 0,75%), dan CO (r = −0,0618; R² = 0,38%), Lemahnya korelasi ini menunjukkan bahwa VCH (m) bersifat dinamis. Analisis terhadap temperatur MODIS menunjukkan korelasi sangat lemah pada seluruh polutan: SO₂ (R² = 0,08) > CO (R² = 0,06) > NO₂ (R² ≈ 0,00), mengindikasikan temperatur saja tidak cukup menjelaskan variasi VCH (m). Diperlukan integrasi parameter meteorologi yang lebih komprehensif untuk pengembangan model prediktif VCH (m).
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Urban air quality analysis is one of a critical issue that requires comprehensive monitoring, yet it remains constrained by the limited number and spatial coverage of ground-based air quality sensors. The Sentinel-5P TROPOMI satellite can be utilised as a solution for air quality (AQ) monitoring by utilising its imagery, which captures the amount of pollutants per square metre of air column (mol/m²). VCD (Vertical Column Density), which represents the concentration of pollutants per square metre (mol/m²), needs to be converted to surface units (µg/m³) used in air quality standards. Conversion between the two requires the Vertical Column Height (VCH) parameter, which is the effective height of the pollutant column in the atmosphere. Previous studies assumed that VCH (m) is constant, whereas atmospheric conditions are dynamic. This study calculates VCH (m) empirically on a daily basis through the temporal integration of Sentinel-5P data and in-situ DLH sensors at the Kebonsari and Wonorejo stations for the pollutants SO₂, CO, and NO₂ during January–December 2024. The results show that VCH (m) varies significantly on a daily and monthly basis, proving that a static VCH (m) approach is not representative. The correlation between VCD and in-situ concentrations is with the order being (SO₂ (r = 0,1317; R² = 1,74%), NO₂ (r = 0,0867; R² = 0,75%), dan CO (r = −0,0618; R² = 0,38%), this weak correlation show that VCH (m) value is dynamic. Analysis of MODIS temperature data reveals a very weak correlation across all pollutants: SO₂ (R² = 0.08) > CO (R² = 0.06) > NO₂ (R² ≈ 0.00), indicating that temperature alone is insufficient to explain variations in VCH (m). A more comprehensive integration of meteorological parameters is required for the development of a predictive model for VCH (m).
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Air Quality, Kualitas Udara, Sentinel-5P, Sentinel-5P, Surabaya, Surabaya, VCD, VCD, VCH, VCH |
| Subjects: | 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 > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Mohammad Rifqi Alfarizi |
| Date Deposited: | 15 Jul 2026 05:40 |
| Last Modified: | 15 Jul 2026 05:40 |
| URI: | http://repository.its.ac.id/id/eprint/134323 |
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