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http://repository.ipb.ac.id/handle/123456789/156905| Title: | Estimasi Kontribusi Sumber Pencemar Partikulat di Wilayah Kota Bandung menggunakan Model HYSPLIT CWT |
| Other Titles: | Estimation of Particulate Pollutant Source Contribution in Bandung City Area using HYSPLIT CWT Model |
| Authors: | Turyanti, Ana Rohmawati, Fithriya Yulisiasih Alifya, Kayla Resti |
| Issue Date: | 2024 |
| Publisher: | IPB University |
| Abstract: | Kota Bandung, sebagai salah satu kota metropolitan dan pariwisata di Jawa Barat, berpotensi mengalami peningkatan aktivitas antropogenik yang dapat mempengaruhi kualitas udara. Salah satu parameter penting yang berpengaruh terhadap kesehatan masyarakat adalah partikulat. Penelitian ini bertujuan menganalisis karakteristik konsentrasi partikulat di Kota Bandung dan estimasi sumber emisi potensialnya menggunakan model HYSPLIT backward trajectory dan Concentration Weighted Trajectory (CWT). Hasil analisis menunjukkan rata-rata konsentrasi partikulat selama tahun 2020-2023 mengalami peningkatan, terutama pada tahun 2023. Konsentrasi rata-rata PM2.5 bahkan sudah melampaui nilai BMUA 1 tahun. Analisis antar musim menunjukkan bahwa konsentrasi partikulat pada musim hujan lebih rendah dibandingkan musim kemarau. Pola konsentrasi diurnal menunjukkan pola dua puncak dengan puncak pertama di pagi hari pada pukul 08.00 WIB dan puncak kedua di malam hari pada pukul 22.00 WIB¬. Konsentrasi maksimum pada pagi hari lebih tinggi dibandingkan konsentrasi maksimum pada malam hari. Berdasarkan analisis HYSPLIT CWT, persentase massa udara yang memasuki Kota Bandung pada musim hujan didominasi dari Purwakarta, Cianjur, Bandung Barat, dan Cimahi (24-44%). Sementara itu, pada musim kemarau persentase massa udara didominasi dari Sumedang, Garut, dan Kabupaten Bandung (36-98%). Aliran massa udara tersebut melalui sumber emisi potensial berupa kawasan industri, pariwisata, dan rute padat transportasi. Distribusi CWT selama musim kemarau menunjukkan konsentrasi PM10 mencapai 45-50 µg/m³, sedangkan konsentrasi PM2.5 mencapai 40-45 µg/m³. Sementara itu, distribusi CWT tertinggi pada musim hujan bernilai 25-30 µg/m³ untuk PM10 dan 20-25 µg/m³ untuk PM¬2.5. Bandung City, as one of metropolitan and tourism cities in West Java, has a potential to has an increase on anthropogenic activites that can affect air quality. One of crusial parameter for public health is particulate matter. This study aims to analyze the characteristics of particulate concentrations in Bandung City and estimate the potential emission sources using HYSPLIT backward trajectory and Concentration Weighted Trajectory (CWT) model. The analysis showed that the average of particulate concentration during 2020-2023 has increased, especially in 2023. The PM2.5 concentration has even exceeded the 1-year AQI value. Inter-seasonal analysis showed that particulate concentrations in the rainy season are lower than the dry season period. The diurnal concentration pattern showed a two peak pattern with the first peak in the morning at 8.00 AM and the second peak in the evening at 22.00 PM. The maximum concentration in the morning was higher than the maximum concentration at night. Based on the HYSPLIT CWT analysis, the air mass percentation that entered Bandung City in rainy season came from Purwakarta, Cianjur, West Bandung, and Cimahi (24-44%). Meanwhile, the air mass percentation in dry season came from Sumedang, Garut, and Bandung Regency (36-98%). Those air mass flowed through potential emission sources such as industrial area, tourism area, and heavy route transportation. CWT distribution during the dry season showed PM10 concentration reached 45-50 µg/m³, while PM2.5 concentration reached 40-45 µg/m³. Meanwhile, the highest CWT distribution during the rainy season was 25-30 µg/m³ for PM10 and 20-25 µg/m³ for PM2.5. |
| URI: | http://repository.ipb.ac.id/handle/123456789/156905 |
| Appears in Collections: | UT - Geophysics and Meteorology |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| cover_G2401201081_e3133f6cffb84d00b6782c2289134a77.pdf | Cover | 3.64 MB | Adobe PDF | View/Open |
| fulltext_G2401201081_14b0f3ee55c245ddbde083e1bd991b20.pdf Restricted Access | Fulltext | 6.14 MB | Adobe PDF | View/Open |
| lampiran_G2401201081_466d90389ea7463c966dd1ed167a97f0.pdf Restricted Access | Lampiran | 1.04 MB | Adobe PDF | View/Open |
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