Pemodelan Konsentrasi Polutan Permukaan dari Data Observasi dan Sentinel-5P Menggunakan Google Earth Engine

Ramadhanni, Rizky Fitria (2026) Pemodelan Konsentrasi Polutan Permukaan dari Data Observasi dan Sentinel-5P Menggunakan Google Earth Engine. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pemantauan kualitas udara gas di Jabodetabek masih terbatas, dengan hanya tiga stasiun EANET (BMKG Cibeureum, IPB Bogor, dan BPPT Serpong) yang mencakup wilayah lebih dari 6.000 km². Sentinel-5P TROPOMI menyediakan data Vertical Column Density (VCD) polutan atmosfer seperti CO, NO₂, O₃, SO₂, CH₄, dan HCHO dengan cakupan spasial luas, namun VCD (mol/m²) tidak secara langsung merepresentasikan konsentrasi permukaan (µg/m³). Penelitian ini mengembangkan estimasi konsentrasi CO, NO₂, dan O₃ permukaan menggunakan pendekatan tinggi kolom empiris lokal (H₂) yang dikalibrasi dari pasangan data VCD Sentinel-5P dan observasi in-situ ketiga stasiun EANET. Estimasi dihitung menggunakan tinggi kolom referensi global (SC₁) dan empiris lokal (SC₂), dievaluasi dengan membandingkan keduanya terhadap data in-situ menggunakan R², RMSE, dan NMAE. Model SC₂ diterapkan pada GEE untuk memetakan distribusi polutan periode 2019–2025. Hasil menunjukkan H₂ sebesar 2,58 km (CO), 0,35 km (NO₂), dan 141,27 km (O₃). SC₂ meningkatkan performa estimasi pada seluruh polutan dibandingkan SC₁, menunjukkan bahwa pendekatan tinggi kolom empiris lokal mampu meningkatkan estimasi konsentrasi polutan permukaan berbasis Sentinel-5P di wilayah perkotaan tropis.
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Air quality monitoring of gaseous pollutants in Jabodetabek remains limited, with only three EANET stations (BMKG Cibeureum, IPB Bogor, and BPPT Serpong) covering an area of more than 6,000 km². Sentinel-5P TROPOMI provides Vertical Column Density (VCD) data for atmospheric pollutants such as CO, NO₂, O₃, SO₂, CH₄, and HCHO with wide spatial coverage, yet VCD (mol/m²) does not directly represent near-surface concentrations (µg/m³). This study develops surface concentration estimates of CO, NO₂, and O₃ using a local empirical column height (H₂) approach calibrated from collocated Sentinel-5P VCD and in-situ observations at the three EANET stations. Estimates were computed using a global reference column height (SC₁) and a local empirical column height (SC₂), evaluated by comparing both against in-situ measurements using R², RMSE, and NMAE. The SC₂ model was applied in Google Earth Engine to map pollutant concentration distributions for 2019–2025. Results show H₂ values of 2.58 km (CO), 0.35 km (NO₂), and 141.27 km (O₃). SC₂ improved estimation performance for all pollutants compared to SC₁, demonstrating that the local empirical column height approach can enhance Sentinel-5P-based surface pollutant concentration estimates in tropical urban areas.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	Google Earth Engine; Konsentrasi Polutan Permukaan; Kualitas Udara; Sentinel-5P, Air Quality; Google Earth Engine; Sentinel-5P; Surface Pollutant Concentration
Subjects:	G Geography. Anthropology. Recreation > GE Environmental Sciences > GE300 Environmental management
Divisions:	Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29101-(S2) Master Thesis
Depositing User:	Rizky Fitria Ramadhanni
Date Deposited:	23 Jul 2026 01:36
Last Modified:	23 Jul 2026 01:36
URI:	http://repository.its.ac.id/id/eprint/136342

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