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All Journal Jurnal Sumberdaya Alam dan Lingkungan Serambi Engineering
Tia Dwi Irawandani
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Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Model Spasial Ketersediaan Ruang Terbuka Hijau terhadap Emisi Karbondioksida di Kota Pasuruan Tia Dwi Irawandani; Alexander Tunggul Sutanhaji; Ruslan Wirosoedarmo
Jurnal Sumberdaya Alam dan Lingkungan Vol 2, No 1 (2015)
Publisher : Brawijaya University

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Ruang terbuka hijau (RTH) Publik yang merupakan area bervegetasi yang dikelola pemerintah kota memiliki fungsi pokok menyerap CO2. Kota Pasuruan dengan kepadatan penduduk, transportasi, dan jumlah industri yang tinggi berpotensi emisi CO2 besar sehingga RTH adalah salahsatu bentuk solusinya. Tujuan penelitian adalah mengetahui kecukupan RTH Publik berdasarkan kemampuan daya serap CO2 dan kesesuaian sebarannya terhadap emisi CO2 Kota Pasuruan. Metode yang digunakan adalah spasial. Beban CO2 dari respirasi penduduk, LPG, industri, dan kendaraan bermotor dihitung menggunakan persamaan Gaussian. Daya serap CO2 RTH didapatkan dari perkalian daya serap CO2 dengan jumlah vegetasi dan analisis spasial menggunakan software Arcview 3.3. RTH Publik Kota Pasuruan tediri dari 31 area taman berskala dan 59 sabuk hijau yang tersebar di 34 kelurahan. Emisi CO2 tiap kelurahan antara 1000000-11150000 kg th-1 dan daya serap CO2 RTH Publik antara 200-5970000 kg th-1. Sebaran RTH belum sesuai pada kelurahan yang memiliki emisi CO2 tinggi dan kemampuan saya serapnya tidak mencukupi untuk menyerap total beban CO2. Beban CO2 yang tidak terserap 131371963 kg th-1. Sebagai rekomendasi, penambahan jumlah dan jenis pohon berdaya serap CO2 tinggi diperlukan dengan penempatan yang sesuai dan diprioritaskan pada kelurahan dengan emisi CO2 tinggi. Kata Kunci : Beban CO2, daya serap CO2, polusi Udara, ruang terbuka hijau
Ambient PM2.5 Transport in Bandar Lampung City: HYSPLIT Model and Meteorological Profile Mustaqiman, Aulia Nur; Umar, Yasa Palaguna; Gustinasari, Kiki; Irawandani, Tia Dwi; Prayogo, Wisnu
Jurnal Sumberdaya Alam dan Lingkungan Vol 11, No 3 (2024)
Publisher : Brawijaya University

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ABSTRACT Particulate Matter (PM2.5) is a hazardous air pollutant commonly found in urban areas, where emissions from transportation, industry, and fuel combustion significantly contribute to its concentration, posing serious risks to human health, air quality, and ecosystems. With rapid urbanization (1,073,451 people), transportation activities, and industrial growth, Bandar Lampung faces high PM2.5 concentrations from January to December 2023, up to 10.6 times the WHO threshold limit. This study analyzes the influence of daily meteorological conditions, such as wind speed, humidity, and temperature inversion, on the accumulation of PM2.5 pollutants in Bandar Lampung in 2023, focusing on August as the period with the highest pollution index (ISPU 155). This study utilizes the HYSPLIT application, which analyzes the sources and transport of PM2.5 pollutants based on wind direction. The HYSPLIT model results indicated that pollutants originate from the southeast at an altitude of 500 m and exhibit a more complex pattern at higher altitudes. Low wind speed (2.6 m/s) and low humidity (69%) during the month influenced the accumulation of PM2.5, reaching 53.6 µg/m³, exceeding the national threshold by 10.6 times. This study provided spatial information to support PM2.5 pollution mitigation efforts in Bandar Lampung by using the HYSPLIT model.  Keywords: Bandar Lampung, HYSPLIT, meteorology, PM2.5, wind speed
Modeling Air Pollutant Dispersion in Urban Areas: A HYSPLIT-Based Analysis of PM 2.5 Dynamics in Medan, Indonesia Mustaqiman, Aulia Nur; Tia Dwi Irawandani; Wisnu Prayogo; Sapta Suhardono
Jurnal Serambi Engineering Vol. 10 No. 1 (2025): Januari 2025
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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Air pollution is a critical environmental challenge in urban areas, particularly developing regions like Medan, Indonesia. This study aims to analyze the dynamics of PM 2.5 dispersion, identify pollution sources, and assess the role of meteorological factors in influencing air quality. Using the HYSPLIT model, the research examines pollutant transport and dispersion over ten months, specifically focusing on a high-pollution episode in May 2024. The study integrates meteorological data and local air quality measurements to simulate forward and backward trajectories at multiple altitudes. The results reveal that PM 2.5 concentrations in Medan are driven by local emissions, such as transportation and industrial activities, and transboundary pollution from biomass burning in neighboring provinces. Higher altitudes capture the influence of regional winds, while localized sources and atmospheric turbulence dominate near-surface levels. Meteorological conditions, including wind patterns, temperature stability, and rainfall, significantly affect pollutant dispersion and accumulation. By leveraging advanced modeling tools and meteorological data, the study provides a robust framework for air quality management in urban environments. These insights contribute to the broader understanding of pollution dynamics and support evidence-based strategies to protect public health and the environment.
Co-Authors Alexander Tunggul Sutanhaji Gustinasari, Kiki Mustaqiman, Aulia Nur Prayogo, Wisnu Ruslan Wirosoedarmo Sapta Suhardono Wisnu Prayogo Yasa Palaguna Umar, Yasa Palaguna