Respati, Ajeng Saraswati (2019) Model Dispersi Partikulat Dari Akumulasi Multiple Point Source Di PT. Semen Indonesia Pabrik Tuban. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Industri semen sebagian besar produksinya berupa pengecilan ukuran material (size reduction) dan pembakaran (pyroprocessing). Pencemaran paling tinggi terhadap lingkungan yang ditimbulkan Industri semen adalah 〖NO〗_X, 〖SO〗_2, dan partikulat. Pola penyebaran partikulat berkaitan erat dengan kondisi meteorologi wilayah tersebut. Perubahan meteorlogi dan pola musim dapat menyebabkan monitoring kualitas udara ambien berbeda. Perubahan kualitas ini lebih sederhana dan mudah dengan studi pemodelan pola dispersi partikulat dan untuk mengetahui sejauh mana partikulat tersebut terdistribusi ke lingkungan sekitar. Studi model dispersi partikulat dari akumulasi multiple point source di Industri semen memodelkan pola pesebaran menggunakan metode gauss termodifikasi dengan variasi musim hujan dan musim kemarau serta skenario beban emisi saat start-up. Karakteristik udara menggunakan data iklim dari stasiun meteorologi juanda pada periode pengamatan tahun 2018. Hasil analisis pola umum angin berupa arah dan kecepatan angin digambarkan dalam grafik windrose. Di dapatkan nilai rata-rata kecepatan angin pada musim kemarau sebesar 4,01 m/s. Pada musim hujan di dapatkan nilai rata-rata angin 3,82 m/s dengan arah dominan ke dua musim ke arah timur (90°). Pola pesebaran emisi partikulat menggunakan program MATLAB R2018b. Setiap musim dimodelkan untuk mengetahui distribusi rata-rata pada pola stabilitas atmosfer. Stabilitas atmosfer ditinjau dari kuat radiasi dan kecepatan angin. Hasil dari penelitian ini adalah diperolehnya nilai beban partikulat pencemar pada lingkungan di sekitar industri. Perhitungan beban emisi di estimasi dari data monitoring PT. Semen Indonesia (persero) Tbk. Kabupaten Tuban. Berdasarkan hasil pengolahan data pada musim kemarau beban emisi terendah dihasilkan dari cerobong packer 1 yaitu 0.0034 g/s dan beban emisi tertinggi dihasilkan cerobong Raw Mill II dengan nilai 21.4863 g/s. Pada musim hujan beban emisi terendah tetap dihasilkan packer 1 dengan nilai 0.0027 g/s dan nilai tertinggi 21.4797 g/s dihasilkan dari cerobong Raw Mill II. Berdasarkan hasil perhitungan model di dapatkan Pola pesebaran partikulat musim kemarau dan musim hujan dominan ke arah timur (90°). Pada musim kemarau konsentrasi partikulat tertinggi adalah 73,84 μg/m^3 di desa Sumberarum (T2). Pada musim hujan konsentrasi tertinggi 80,77 μg/m^3 di Desa Sumberarum (T2). Pada hasil model dan pemantauan konsentrasi partikulat lebih tinggi pada musim hujan. Pola pesebaran sangat sensitif terhadap faktor meteorologi. Hasil pemantauan udara ambien yang di lakukan PT. Semen Indonesia Pabrik Tuban dan hasil perhitungan model di dapatkan konsentrasi emisi tidak ada yang melebihi 0,26 mg/m^3. Sehingga status kualitas udara ambien dapat dinyatakan aman. =================================================================================================================================
Most of the cement industry is in the form of size reduction and pyro process. The highest pollution to the environment caused by the cement industry is 〖NO〗_X, 〖SO〗_2, and particulates. The pattern of spreading particulates is closely related to the meteorological conditions of the region. Meteorological changes and seasonal patterns can cause the monitoring of ambient air quality differently. This quality change is simpler and easier with modeling studies of particulate dispersion patterns and to determine the extent to which these particulates are distributed to the surrounding environment. Study of particulate dispersion models from multiple point source accumulation in the cement industry models the spreading pattern using a modified gauss method with variations in the rainy season and dry season and emission load scenarios at start-up. Air characteristics use climate data from the Juanda meteorological station in the observation period of 2018. The results of the analysis of general wind patterns in the form of wind direction and speed are depicted in windrose graphs. The average value of wind speed in the dry season was 4.01 m / s. In the rainy season, the average wind value is 3.82 m / s with the dominant direction to the two seasons to the east (90 °). Spread of particulate emissions patterns using the MATLAB R2018b program. Each season is modeled to find out the average distribution in the pattern of atmospheric stability. Atmospheric stability in terms of strong radiation and wind speed. The results of this study are to obtain particulate load values of pollutants in the environment around the industry. The emission load calculation is estimated from PT. Semen Indonesia (Persero) Tbk. Tuban Regency. Based on the results of data processing in the dry season the lowest emission load is produced from the packer 1 chimney, which is 0.0034 g / s and the highest emission load is produced by the Raw Mill II chimney with a value of 21.4863 g / s. In the rainy season, the lowest emission load is still produced by packer 1 with a value of 0.0027 g / s and the highest value of 21,477 g / s is produced from the Raw Mill II chimney. Based on the calculation results of the model, get the particularly spreading pattern of the dry season and the dominant wet season to the east (90 °). In the dry season, the highest particulate concentration was 73.84 μg/m^3 in Sumberarum village (T2). In the rainy season, the highest concentration was 80.77 μg/m^3 in Sumberarum Village (T2). The model results and monitoring of particulate concentrations are higher during the rainy season. The spreading pattern is very sensitive to meteorological factors. The results of ambient air monitoring carried out by PT. Semen Indonesia Tuban Factory and the results of the model calculations are obtained with no emission concentration exceeding 0.26 mg/m^3. So that the status of ambient air quality can be declared safe.
| Item Type: | Thesis (Other) |
|---|---|
| Additional Information: | RSL 628.53 Res m-1 2019 |
| Uncontrolled Keywords: | Gauss, MATLAB R2018b, Partikulat, Semen |
| Subjects: | T Technology > TD Environmental technology. Sanitary engineering > TD883.5 Air--Pollution |
| Divisions: | Faculty of Civil, Environmental, and Geo Engineering > Environmental Engineering > 25201-(S1) Undergraduate Theses |
| Depositing User: | Respati Ajeng Saraswati |
| Date Deposited: | 21 Feb 2024 04:22 |
| Last Modified: | 21 Feb 2024 04:22 |
| URI: | http://repository.its.ac.id/id/eprint/66101 |
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