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All Journal Jurnal Ilmu Lingkungan Journal of Engineering and Technological Sciences
Adyati P. Yudison
Air and Waste Management Research Group, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jalan Ganesha No. 10, Bandung, Indonesia
Engineering Environmental Science

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Development of Indoor Air Pollution Concentration Prediction by Geospatial Analysis Yudison, Adyati P.; Driejana, R.
Journal of Engineering and Technological Sciences Vol 47, No 3 (2015)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1399.693 KB) | DOI: 10.5614/j.eng.technol.sci.2015.47.3.6

Abstract

People living near busy roads are potentially exposed to traffic-induced air pollutants. The pollutants may intrude into the indoor environment, causing health risks to the occupants. Prediction of pollutant exposure therefore is of great importance for impact assessment and policy making related to environmentally sustainable transport. This study involved the selection of spatial interpolation methods that can be used for prediction of indoor air quality based on outdoor pollutant mapping without indoor measurement data. The research was undertaken in the densely populated area of Karees, Bandung, Indonesia. The air pollutant NO2 was monitored in this area as a preliminary study. Nitrogen dioxide concentrations were measured by passive diffusion tube. Outdoor NO2 concentrations were measured at 94 locations, consisting of 30 roadside and 64 outdoor locations. Residential indoor NO2 concentrations were measured at 64 locations. To obtain a spatially continuous air quality map, the spatial interpolation methods of inverse distance weighting (IDW) and Kriging were applied. Selection of interpolation method was done based on the smallest root mean square error (RMSE) and standard deviation (SD). The most appropriate interpolation method for outdoor NO2 concentration mapping was Kriging with an SD value of 5.45 µg/m3 and an RMSE value of 5.45 µg/m3, while for indoor NO2 concentration mapping the IDW was best fitted with an RMSE value of 5.92 µg/m3 and an SD value of 5.92 µg/m3.
Development of Indoor Air Pollution Concentration Prediction by Geospatial Analysis Adyati P. Yudison; R. Driejana
Journal of Engineering and Technological Sciences Vol. 47 No. 3 (2015)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2015.47.3.6

Abstract

People living near busy roads are potentially exposed to traffic-induced air pollutants. The pollutants may intrude into the indoor environment, causing health risks to the occupants. Prediction of pollutant exposure therefore is of great importance for impact assessment and policy making related to environmentally sustainable transport. This study involved the selection of spatial interpolation methods that can be used for prediction of indoor air quality based on outdoor pollutant mapping without indoor measurement data. The research was undertaken in the densely populated area of Karees, Bandung, Indonesia. The air pollutant NO2 was monitored in this area as a preliminary study. Nitrogen dioxide concentrations were measured by passive diffusion tube. Outdoor NO2 concentrations were measured at 94 locations, consisting of 30 roadside and 64 outdoor locations. Residential indoor NO2 concentrations were measured at 64 locations. To obtain a spatially continuous air quality map, the spatial interpolation methods of inverse distance weighting (IDW) and Kriging were applied. Selection of interpolation method was done based on the smallest root mean square error (RMSE) and standard deviation (SD). The most appropriate interpolation method for outdoor NO2 concentration mapping was Kriging with an SD value of 5.45 µg/m3 and an RMSE value of 5.45 µg/m3, while for indoor NO2 concentration mapping the IDW was best fitted with an RMSE value of 5.92 µg/m3 and an SD value of 5.92 µg/m3.
Identifikasi Senyawa Benzena pada Kabin Mobil Mumammad Pasha Ariobimo; Adyati Pradini Yudison; Moh. Irsyad
Jurnal Ilmu Lingkungan Vol 21, No 1 (2023): January 2023
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.21.1.15-21

Abstract

Interior mobil yang pada umumnya terbuat dari bahan-bahan sintetis yang dapat mengemisikan Volatile Organic Compound (VOC) apabila berada pada suhu yang tinggi, salah satunya adalah senyawa benzene. Selain berasal dari emisi bahan-bahan yang digunakan pada interior mobil, konsentrasi senyawa benzena dapat pula dipengaruhi oleh hal lain, diantaranya: kondisi udara ambien, kebocoran gas dari tangki bahan bakar dan tabung penghantar bahan bakar, infiltrasi emisi kendaraan lain di tempat parkir, dan lain sebagainya. Pada penelitian ini akan dibandingkan konsentrasi benzene di dalam kabin mobil pada 3 kondisi berbeda, yaitu berdasarkan durasi penjemuran mobil 2 jam, 4 jam, dan 6 jam secara active sampling dan dianalisis menggunakan gas kromatografi-spektrometer massa (GC-MS). Sebagai pembanding, akan diukur pula konsentrasi benzena pada mobil yang ditempatkan di dalam garasi tanpa terpapar sinar matahari secara langsung. Hasil penelitian terukur keberadaan benzena di dalam kabin mobil pada kondisi tanpa ventilasi dan pendingin dengan konsentrasi antara 0.77 – 1.36 mg/m³. Konsentrasi tersebut berkorelasi signifikan secara statistik dengan temperatur dalam kabin sehingga semakin tinggi temperatur akan semakin tinggi pula konsentrasi benzena di dalam kabin mobil. Terdapat pula kemungkinan infiltrasi benzena dari lingkungan luar mobil. Hasil penelitian ini meningkatkan kesadaran pengguna mobil mengenai adanya pencemar udara berbahaya pada kabin mobil saat sedang tidak dipergunakan terutama apabila berada pada tempat dengan temperatur tinggi dan terdapat sumber pencemar benzenekabin mobil, benzena, GC-MS , VOC
Co-Authors Moh. Irsyad Mumammad Pasha Ariobimo R. Driejana R. Driejana, R.