Kajian Analisis Distribusi Pencemar Udara Pm2.5 Di Jakarta Menggunakan WRF-CHEM Data Asimilasi

Rafelino, Fujian Ahmadzulva Santriyo (2023) Kajian Analisis Distribusi Pencemar Udara Pm2.5 Di Jakarta Menggunakan WRF-CHEM Data Asimilasi. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 03211940000084-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 September 2025. Download (8MB) | Request a copy

Abstract

Pencemaran udara merupakan salah satu masalah serius yang bertanggung jawab tak hanya untuk jutaan korban jiwa namun, juga kerugian ekonomi yang masif. Polusi antropogenik mendominasi penurunan kualitas udara di kota besar daerah tropis seperti Jakarta. PM2.5 merupakan salah satu polutan mematikan bagi umat manusia dan mencapai konsentrasi tinggi di Jakarta selama dua tahun belakangan. Penelitian ini bertujuan untuk mensimulasikan dispersi PM2.5 agar dapat diketahui karakteristik dan konsentrasinya menggunakan WRF-Chem data asimilasi. Penelitian ini juga berutujuan untuk mengetahui kemampuan WRF-Chem data asimilasi dalam mensimulasikan dispersi PM2.5 di Jakarta. PM2,5 dapat disimulasikan arah distribusi dan konsentrasinya di dalam domain terbatas dengan bantuan WRF-Chem dengan luaran model. Penggunaan data asimilasi dapat memperbaiki kondisi awal dan batas sehingga meningkatkan kualitas luaran model hingga 10%. Oleh karena itu penelitian ini menggunakan WRF-Chem dengan modifikasi metode data asimilasi. WRF-Chem mempunyai 3 tahap utama dalam membuat luaran model, yaitu pre-processing, processing, dan post-processing. Hasil MAPE menunjukkan bahwa WRF-Chem belum akurat dalam mensimulasikan PM2.5 dengan nilai rata-rata >70%. Pola sebaran luaran model menunjukkan pola sebaran polutan cenderung terdispersi ke arah tenggara pada bulan basah dan ke arah barat daya pada bulan kering. Rata-rata konsentrasi PM2.5 menurut luaran model pada bulan kering lebih tinggi dari bulan basah baik dari hasil observasi maupun luaran model mencapai 19,936 µg/m3 dan 11,54 µg/m3 di DKI 3 dan 21,808 µg/m3 dan 15,72 µg/m3 di DKI 4.
=================================================================================================================================
Air pollution is one of the serious problems responsible not only for millions of deaths but also for massive economic losses. Anthropogenic pollution dominates the decline of air quality in large tropical cities like Jakarta. PM2.5 is one of the deadly pollutants for humans and has reached high concentrations in Jakarta over the past two years. This study aims to simulate the dispersion of PM2.5 to understand its characteristics and concentrations using WRF-Chem assimilation data. The study also aims to determine the ability of WRF-Chem assimilation data to simulate the dispersion of PM2.5 in Jakarta. PM2.5 can be simulated in terms of distribution and concentration within a limited domain with the help of WRF-Chem and the output of the model data. The use of assimilation data can improve initial conditions and boundaries, thereby improving the quality of the model output by up to 10%. Therefore, this study uses WRF-Chem with modified assimilation data methods. WRF-Chem has three main stages in producing model output: pre-processing, processing, and post-processing. The MAPE results indicate that WRFChem is not accurate in simulating PM2.5 with average value >70%. The pattern of model output distribution shows that in rainy months pollutants tend to be dispersed to the southeast and in dry months pollutants tend to be dispersed to the northwest. The average concentration of PM2.5 in dry months is higher than in wet months, both from observation results and model output, reaching 19,936 µg/m3 and 11,54 µg/m3 in DKI 3, and 21,808 µg/m3 and 15,72 µg/m3 in DKI 4

Item Type:	Thesis (Other)
Subjects:	T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution
Divisions:	Faculty of Civil Engineering and Planning > Environment Engineering > 25201-(S1) Undergraduate Thesis
Depositing User:	Rafelino Fujian Ahmadzulva Santriyo
Date Deposited:	07 Aug 2023 01:11
Last Modified:	07 Aug 2023 01:11
URI:	http://repository.its.ac.id/id/eprint/101600

Actions (login required)

View Item