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All Journal Jurnal Pendidikan Teknologi dan Kejuruan Journal of Environment and Sustainability
Nofriya Nofriya, Nofriya
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Earth & Planetary Sciences Education Energy Engineering Environmental Science

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Total Suspended Particulate (TSP) simulation using the gaussian dispersion model Arbi, Yaumal; Nofriya, Nofriya; Fitrianti, Rahma; Putri, Widia
Jurnal Pendidikan Teknologi Kejuruan Vol 6 No 2 (2023): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v6i2.33823

Abstract

Air pollution is one of the most dangerous and worrying. One of the causes of air pollution is dust or Total Suspended Particulate (TSP), namely particles with a diameter of <100 μm. The Total Suspended Particulate causes visual distrurbances and respiratory disorders such as URTI (Upper Respiratory Tract Infection). According to data from Badan Pusat Statistik Kota Padang in 2018, URTI represents the highest complaint in the district Lubuk Begalung as many as 5,534 cases (28%). In the district has industrial and transportation activities which are a source of air pollution. However, in there haven’t real time monitoring of air pollution, so it is necessary to carry out air pollution simulations. This study aims to determine the concentration of TSP ambient air pollution and to analyze the distribution air pollutant in the Lubuk Begalung District, Padang City. The research method used a quantitative, where the emission inventory and meteorological data used the Gauss dispersion model and surver 15 software. The maximum TSP from measurement and modeling results was 113.42 µg/m3 and 27.16 µg/m3. This result explain about the TSP concentration is still below the National BMUA in PP RI No. 41 of 1999, which is 230 µg/m3 (still in good condition). This is different from previous studies because this study only considers sources of industrial emissions without other sources of pollution. The result of the TSP distribution is moving increasingly towards the Southwest from the emission source and reaches a maximum concentration at the coordinate point (-0.98103 oS, 100.34567 oE), according to the dominant wind direction.
Total Suspended Particulate (TSP) simulation using the gaussian dispersion model Arbi, Yaumal; Nofriya, Nofriya; Fitrianti, Rahma; Putri, Widia
Jurnal Pendidikan Teknologi Kejuruan Vol 6 No 2 (2023): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v6i2.33823

Abstract

Air pollution is one of the most dangerous and worrying. One of the causes of air pollution is dust or Total Suspended Particulate (TSP), namely particles with a diameter of <100 μm. The Total Suspended Particulate causes visual distrurbances and respiratory disorders such as URTI (Upper Respiratory Tract Infection). According to data from Badan Pusat Statistik Kota Padang in 2018, URTI represents the highest complaint in the district Lubuk Begalung as many as 5,534 cases (28%). In the district has industrial and transportation activities which are a source of air pollution. However, in there haven’t real time monitoring of air pollution, so it is necessary to carry out air pollution simulations. This study aims to determine the concentration of TSP ambient air pollution and to analyze the distribution air pollutant in the Lubuk Begalung District, Padang City. The research method used a quantitative, where the emission inventory and meteorological data used the Gauss dispersion model and surver 15 software. The maximum TSP from measurement and modeling results was 113.42 µg/m3 and 27.16 µg/m3. This result explain about the TSP concentration is still below the National BMUA in PP RI No. 41 of 1999, which is 230 µg/m3 (still in good condition). This is different from previous studies because this study only considers sources of industrial emissions without other sources of pollution. The result of the TSP distribution is moving increasingly towards the Southwest from the emission source and reaches a maximum concentration at the coordinate point (-0.98103 oS, 100.34567 oE), according to the dominant wind direction.
The application of Life Cycle Assessment to achieve sustainable tourism: A literature review Nofriya, Nofriya; Muntalif, Barti Setiani; Rahardyan, Benno
Sustinere: Journal of Environment and Sustainability Vol. 6 No. 2 (2022): 92-173 (August 2022)
Publisher : Center for Science and Technology, Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/sustinerejes.v6i2.231

Abstract

Increased development of tourism-related infrastructure to meet the needs of tourists visiting tourist destinations causes greater environmental problems such as greenhouse gas emissions, higher amount of waste, liquid waste as well as sanitation and aesthetics issues. Therefore, it is necessary to evaluate the environmental aspects of tourism activities using environmental performance indicators. The basic idea of the environmental performance evaluation framework is to identify and assess to facilitate continuous improvement and prevent further environmental degradation. The Life Cycle Assessment (LCA) can apply to find tourism activities that have negatively impacted environmental sustainability. Determination of environmental impacts using LCA is a method that can thoroughly identify the stages in tourism activities that can generate environmental impacts. LCA can find the amount of carbon footprint generated by tourism activities, the sector that has the most impact on the environment and the best alternative to realize sustainable tourism.
Co-Authors Barti Setiani Muntalif Benno Rahardyan Fadhly, Ahmad Fitrianti, Rahma Hapzi Ali Putri, Widia Yaumal Arbi