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Investigation of PM10 and PM2.5 in Ambient Air: Spatial and Temporal Variations in the Western Area of a Cement Plant AD, Apriandi.; Bachtiar, Vera Surtia; Silvia, Shinta
CIVED Vol. 12 No. 1 (2025): March 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.727

Abstract

The objective of this study is to evaluate the horizontal distribution of particulate matter concentrations (PM10 and PM2.5) in ambient air within the vicinity of the cement factory, with consideration for variations in spatial and temporal. The measurements were conducted using the EPAM 5000 instrument, with a total of six sampling points at distances of 0 km, 0.5 km, 1 km, 1.5 km, 2 km and 2.5 km, both during the day and at night, over a period of three days. Meteorological parameters such as air temperature, relative humidity, air pressure, and wind speed were measured to analyses their influence on particulate matter distribution. The findings revealed that the highest PM10 and PM2,5 concentrations were measured at the location closest to the factory (B1) with values of 113.98 μg/m³ and 75.73 μg/m³ at night and 52.80 μg/m³ and 28.27 μg/m³ during the day. A clear pattern of decreasing concentrations of both types of particulates as the distance from the source increases is evident, with a significant decrease occurring at a distance of 0-0.5 km. The PM2.5/PM10 ratio at night (0.67) was higher than during the day (0.56), indicating a greater contribution of fine particulates at night. Meteorological conditions play an important role in the distribution of particulate matter, in particular changes in wind direction and wind speed at night contribute to differences in the concentration and distribution of particulate matter. The results of this study indicate an increased risk of exposure to particulate matter in areas near factories, especially at night, which can be a basis for consideration in the preparation of air pollution control policies and efforts to safeguard public health.
Waste to Energy Utilization Technology Study in Padang City Surdinal, Wendi; Aziz, Rizki; Bachtiar, Vera Surtia; Ajis, Muhammad Fadhli
CIVED Vol. 12 No. 1 (2025): March 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.736

Abstract

Solid waste management in Padang City is problematic due to the annual increase in waste generation, which leads to various environmental issues. This study aims to predict the most profitable waste-to-energy (WtE) treatment methods from technical and environmental perspectives that can alleviate these issues in Padang City. The study begins with analyzing solid waste generation, composition, and characteristics. Additionally, the amount of incoming waste for thermal planning is projected based on projected generation and population. The environmental implications were assessed using the LCA (Life Cycle Assessment) method. Various waste treatment methods' technical and environmental viability was evaluated, focusing on projected waste generation in 2031, estimated at 929 tons/day. The analysis of technical aspects revealed that thermal processing of mixed waste gasification is the most profitable option, requiring only 5,101 m2 of land and capable of producing 188 GWh/year while achieving the lowest LCA Single Score of 5.82E+04 Conversely, anaerobic digesters and RDF processing generate 120 GWh and 47 GWh of electrical energy, respectively, with Single Score LCA of 4.25E+10 Pt and 7.74E+09 Pt. However, the environmental impact of WtE is the most significant, primarily due to its contribution to global warming. Global warming is predominantly attributed to carbon monoxide (CO) compounds, with carbon dioxide (CO₂) being the primary emission responsible for the observed increase in global temperature.
Analysis of PM1 Concentration on Primary Arterial Roads in Padang City and Correlation with Meteorological Conditions and Traffic Characteristics Ramadhanil; Bachtiar, Vera Surtia; Aziz, Rizki
CIVED Vol. 12 No. 1 (2025): March 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.738

Abstract

This study aims to analyze PM1 concentration and the correlation of PM1 concentration with meteorological conditions and traffic characteristics on Padang City Primary Arterial Roads. The research location is perpendicular to Padang City Bypass II Road which is 5m from the roadside. PM1 measurements were carried out using an EPAM 5000 real-time particulate air monitor. Measurements were made during morning rush hour (06.30-08.30 WIB), midday off-peak hours (11.00-13.00 WIB), and evening rush hour (16.00-18.00 WIB). The results showed that the average PM1 concentration and standard deviation in the morning, midday, and evening were 17.48(3.05) μg/m3, 22.87(2.76) μg/m3, and 34.60(7.68) μg/m3 respectively with the highest concentration obtained in the evening reaching 42.63 μg/m3 and the lowest concentration in the morning 12.83 μg/m3. The results of the correlation between PM1 concentrations and meteorological conditions have a reasonably strong to very strong correlation. PM1 concentrations are directly proportional to temperature and wind speed and inversely proportional to humidity. The correlation results of PM1 concentrations to traffic characteristics are directly proportional, such as traffic volume, vehicle speed, and traffic density have a reasonably strong to very strong correlation. These results indicate meteorological factors and traffic characteristics as the main contributors to road air pollution. The recommendation from this study is to optimize air quality monitoring and traffic management.
Analysis of air pollution distribution in West Pasaman Regency effects of palm oil mills Yosenov, Herri; Bachtiar, Vera Surtia; Zulkarnaini, Zulkarnaini
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.v6i2.33323

Abstract

The purpose of this research was to identify sources of pollution and analyze the level of pollution for the parameters of TSP (Dust), particulates, NO2, and SO2 and to map their distribution. The research was conducted at 9 (nine) palm oil mills spread throughout West Pasaman Regency. The data used are primary and secondary data. The primary data includes particulates, TSP, SO2, and NO2 gases. Secondary data consists of test results data at the Environmental Service in 2017, morphological data, and factory location maps. Data processing methods include statistical analysis of Shapiro Wilk. Then proceed with descriptive analysis to determine the characteristics of the range of minimum and maximum values of air pollution distribution. Spatial analysis of the overlay type was carried out using a GIS application. Particulate, TSP, NO2 and SO2 test results at each location have met the required air quality standards. mapping the distribution of air pollutants for the parameters TSP (Dust), NO2 and SO2 with the direction of their spread according to the wind direction. Comparison with the latest regulations, namely PP Number 22 of 2021 Appendix VII, shows that the test results are still below the set quality standards. With the test values obtained and the meteorological factors in each company, it shows that there is no significant effect of pollutant content from sources of pollution on the environment around the palm oil mills.
Mapping SO₂ concentration distribution in South Sumatra Province: A sentinel-5p remote sensing approach Putri, Ayu Arnita; Bachtiar, Vera Surtia; Yenni, Yenni; Putra, Rahmat Wahyudi
Journal of Environment and Sustainability Education Vol. 3 No. 4 (2025)
Publisher : Education and Development Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62672/joease.v3i4.119

Abstract

Sulfur dioxide (SO2) is one of the main air pollutants that has a significant impact on human health and the environment, especially in areas with intensive industrial, mining, and transportation activities. South Sumatra Province as one of the provinces with quite massive industrial and mining activities, is a strategic area to study the spatial dynamics of SO2 concentration. This study pioneers the use of Sentinel-5P satellite remote sensing for high resolution spatio analysis of sulfur dioxide (SO₂) at the provincial level in Indonesia. Focusing in South Sumatra from 2021–2024, we quantified SO₂ dynamics across 17 regencies/cities. Results identified significant concentration SO2 in urban and industrial areas such as Palembang, Prabumulih, and Muara Enim, while agrarian areas such as North Musi Rawas and South OKU showed lower and more stable concentrations. Analysis revealed clear seasonal patterns, with dry seasons exhibiting elevated concentrations due to reduced atmospheric dispersion, and further linked fluctuations to post-pandemic economic recovery and land-use changes. Our findings demonstrate the critical value of Sentinel-5P as a tool for actionable air quality governance in Indonesia and underscore the importance of complementing satellite data with ground measurements for robust environmental policy.