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All Journal Jurnal Ilmu Lingkungan Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Dampak Prosiding Semnastek IJEMS (Indonesian Journal of Environmental Management and Sustainability) Jurnal Serambi Engineering Buletin Ilmiah Nagari Membangun REACTOR : Journal of Research On Chemistry And Engineering International Journal of Research in Vocational Studies (IJRVOCAS) International Journal of Disaster Management Journal of Environment and Sustainability Education Journal Serambi Engineering (JSE) Journal of Civil Engineering and Vocational Education JURNAL REKAYASA KIMIA & LINGKUNGAN
Vera Surtia Bachtiar
Departemen Teknik Lingkungan, Universitas Andalas
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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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.
Improving Water Supply Systems’ Resilience Variables Using The Fuzzy Delphi Method (FDM) Yuliandra, R Hari; Nurhamidah, Nurhamidah; Komala, Puti Sri; Bachtiar, Vera Surtia
Dampak Vol. 23 No. 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.23.1.88-102.2026

Abstract

This study examines the resilience variables of urban Drinking Water Supply Systems (WSS) in responding to floods, with a focus on West Sumatra Province, Indonesia, using the Fuzzy Delphi Method (FDM). The study identifies three main resilience properties: robustness, recovery, and learning, within a temporal framework. Thirteen sub-properties and 41 indicators were validated using FDM by 10 experts in fields relevant to the research topic. As a result, 12 sub-properties were accepted by expert consensus, while one sub-property, namely governmental situation awareness, was rejected because all three of its indicators failed to meet the validation criteria. A total of 33 out of 41 indicators were considered significant, relevant, and useful by the expert panel. Furthermore, the findings emphasize the critical role of the governmental dimension in determining the resilience level of SPAM in West Sumatra Province. These results will serve as a guide for policymakers in prioritizing resilience-based decisions to mitigate flood threats.
Long-Term Passive Sampler Monitoring of NO2 and SO2 for Trend Analysis and Control Strategies in South Sumatra Bachtiar, Vera Surtia; Putri, Ayu Arnita; Yenni, Yenni
Dampak Vol. 23 No. 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/dampak.23.1.38-56.2026

Abstract

Air pollution is one of the most pressing environmental issues, with direct impacts on human health and environmental quality. The increasing intensity of transportation activities, industrial operations, forest and land fires, and regional development in South Sumatra Province has increased the risk of air pollution, particularly from nitrogen dioxide (NO2) and sulfur dioxide (SO2). This study aims to analyze the concentrations and multi-year trends of NO2 and SO2 in South Sumatra based on passive sampler measurements conducted at 68 monitoring sites across 17 districts and municipalities during the period 2021–2024. The results show that the average concentrations of NO2 ranged from 6.654 to 9.944 micrograms per cubic meter, while SO2 concentrations ranged from 7.303 to 8.456 micrograms per cubic meter. All measured concentrations were below the National Ambient Air Quality Standards as well as the European Union guideline values. Trend analysis indicates a consistent decrease in NO2 and SO2 concentrations from 2021 to 2024. These findings contribute to the availability of long-term air quality data and enhance understanding of NO2 and SO2 dynamics, providing a scientific basis for the development of evidence-based strategies for air pollution control and prevention in South Sumatra Province. Keywords: nitrogen dioxide, sulfur dioxide, passive sampler, South Sumatra, air pollution trends.
AERMOD as an Alternative Approach for Estimating Traffic-Related Ambient Pollutant Dispersion in Areas Without Air Quality Monitoring Stations Ilmi, Gian Mustika; Bachtiar, Vera Surtia; Sufitri, Yumita; Silvia, Shinta; Afrianita, Reri
Indonesian Journal of Environmental Management and Sustainability Vol. 10 No. 1 (2026): March
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2026.10.1.1-16

Abstract

The dispersion of pollutants originating from traffic activities has become a major environmental issue in many developing countries. Emissions such as SO2 and CO present significant challenges for air quality management due to their serious health impacts. Air Quality Monitoring Systems (AQMS) are commonly used to measure pollutant concentrations; however, limited availability and spatial coverage necessitate alternative approaches such as dispersion modeling using AERMOD. This study aims to evaluate the performance of AERMOD as an alternative method for estimating SO2 and CO concentrations, particularly those associated with traffic-related emissions. The simulation results indicate a strong alignment between dominant wind direction and pollutant dispersion patterns over the seven-day modeling period. Concentration accuracy assessed through regression analysis and Root Mean Square Error (RMSE) revealed positive correlations between AERMOD simulations and observational data for both SO2 and CO, with RMSE values of 21.86 µg/m3 for SO2 and 485.25 µg/m3 for CO. Overall, statistical evaluations demonstrate a high level of agreement for SO2 and a moderate level of agreement for CO. These findings underscore the significant potential of AERMOD as an alternative monitoring tool for estimating pollutant dispersion in areas lacking AQMS infrastructure, thereby supporting more effective air quality management and pollution control strategies. However, the model’s performance remains influenced by several limitations, including dependency on the quality of meteorological and emission input data, the assumption of steady-state atmospheric conditions, and greater prediction uncertainty for CO compared to SO2. These factors should be carefully considered when applying AERMOD in regions without ground-based monitoring stations.
Co-Authors AD, Apriandi. Ahmad Viqri Ajis, Muhammad Fadhli Annisa Dwinta Ary Zamzamy Astri Yulia Denny Helard Dharma Wangsa Elfrida Ratnawati Fadhil Aditya Putra Gunawan, Hendra Ilmi, Gian Mustika Iqbal Putra Laksono Trisnantoro Latif, Mhd Talib Lestari, Resti Ayu Mita Fardella Nurhamidah Nurhamidah Nurwijayanti Puspa Safitri Sanggar Rani Puti Sri Komala Putra, Alqadri Asri Putra, Rahmat Wahyudi Putri, Ayu Arnita Ramadhanil Regia, Rinda Andhita Reri Afrianita Reri Afrianita Resti Ayu Lestari Ridwan Ridwan Ridwan Ridwan Rifel Solihin Rizki Aziz Ryansyah, Kenan Muhammad Serlina, Yega Shinta Indah Silvia, Shinta Slamet Raharjo Slamet Raharjo Sufitri, Yumita Sugeng Nugroho Surdinal, Wendi Viqri, Ahmad Vivin Alfirna Yega Serlina Yenni Ruslinda Yenni Yenni Yommi Dewilda Yosenov, Herri Yuliandra, R Hari