IDENTIFIKASI KONTRIBUSI PENCEMARAN PM10 MENGGUNAKAN METODE RESEPTOR CHEMICAL MASS BALANCE (CMB) (STUDI KASUS: KOTA PEKANBARU, PROVINSI RIAU)

Alex Fernando, Julius (2017) IDENTIFIKASI KONTRIBUSI PENCEMARAN PM10 MENGGUNAKAN METODE RESEPTOR CHEMICAL MASS BALANCE (CMB) (STUDI KASUS: KOTA PEKANBARU, PROVINSI RIAU). Undergraduate thesis, Universitas Diponegoro.

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Abstract

tiap profil sumber. Profil ini meliputi transportasi, material geologi/debu tanah, kebakaran lahan gambut, dan partikel sekunder berupa ammonium nitrat dan ammonium sulfat. Kata Kunci: PM10, model reseptor, kontribusi sumber, profil sumber ABSTRACT [Identification of PM10 Pollution Contribution using Chemical Mass Balance (CMB) Receptor Method (Case Study: Pekanbaru City, Riau)]. High concentration of fine particulate matter currently represent the main air quality problem in Riau, especially in Pekanbaru, the capital city of Riau Province in Indonesia, disaster haze in mid 2015 result in air pollution so bad for people's health and disrupt the activities of society from August until November 2015. The application of receptor models for source apportionment can provide useful insight into this problem. The US-EPA Chemical Mass Balance v8.2 receptor model was applied to a set of PM10 data collected in Sukajadi monitoring station for Pekanbaru Environmental State Agency (BLH) urban air quality monitoring, with the goal of estimating the impact of different local emission sources on PM10 concentrations, of quantifying the sources contribution such as transportation, industrial activity, and especially the impact of peat burning in that area, and investigating the source profile based on actual conditions, such as landuse and winds. Since the chemical mass balance method also requires source profile to be known, EPA Speciate database v3.2 was provided to quantify mass abundances of chemical species in each profiles. Those profile include emission from transportation, geological material/soil dust, peat field combustion, and secondary particle (ammonium nitrate and ammonium sulfate). Keywords: PM10, receptor model, souce contribution, source profile

Item Type:Thesis (Undergraduate)
Subjects:T Technology > TD Environmental technology. Sanitary engineering
Divisions:Faculty of Engineering > Department of Environmental Engineering
Faculty of Engineering > Department of Environmental Engineering
ID Code:51743
Deposited By:Ms teknik lingkungan
Deposited On:01 Feb 2017 14:42
Last Modified:01 Feb 2017 14:42

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