Minh Dung Ho

Carbon neutrality represents the state in which an entity has an amount of CO2 emitted equal to the amount of CO2 absorbed in CO2 sinks. The study was conducted in Mo Cay Nam district, Ben Tre province to assess the carbon neutralization potential of plants (Pc) through the offset between the amount of CO2 absorbed by plants (MCa) and the amount of CO2 emitted (MCe). In this study, the MCa calculation method was used through the CO2 absorption coefficient of each tree type, combined with information collection (tree variety, tree age). The baseline CO2 emissions (MCe) were inventoried according to the greenhouse gas emission factors of the Ministry of Natural Resources and Environment and IPCC guidelines. The results showed that the Pc of the whole district was at a very high level (853,272 tons of CO2/year); the Pc in each commune had a large difference, the area with a poor Pc (-4,426 tons of CO2/year) accounted for 2% of the total area of the district in the Town. Low Pc (200 < Pc £ 20,000 tons CO2/year) accounts for 10% of the district area, in Ngai Dang and An Dinh communes; Areas with medium Pc in Tan Hoi and Minh Duc communes (20,000 < Pc £ 40,000 tons CO2/year) account for 12% of the total district area. Areas with very high Pc (Pc > 100,000 tons CO2/year) account for 10%, in Huong My commune. Areas with high Pc (40,000 < Pc £ 100,000 tons CO2/year) account for 66% of the total district area including the remaining communes. Zoning of carbon neutral potential is the foundation for planning green development strategies and effective greenhouse gas emissions management at the local level.

Air pollution is one of the main causes of serious health problems such as lung and cardiovascular diseases and increases the risk of other diseases. Therefore, early forecasting of air quality plays an important role in warning the community and helping people proactively take health protection measures. In this study, the LSTM model was selected due to its ability to identify nonlinear relationships in data, suitable for both short-term and long-term forecasting. In order to improve efficiency, the LSTM model was combined with ARIMA to form a hybrid model LSTM-ARIMA, which brought positive forecasting results. The values of CO, NO₂, SO₂ and PM10 parameters at the Gieng Nuoc intersection station (Vung Tau ward, Ho Chi Minh City) were always below the allowable threshold of QCVN 05:2023/BTNMT. The PM2.5 concentration was mostly at a safe level, only at one point it almost reached the standard threshold. However, the 8-hour average O3 concentration exceeded the standard at 866 times, and the 1-hour O3 exceeded the standard at 74 times. The air quality at the Gieng Nuoc intersection monitoring station is mainly in the “Good” and “Average” groups according to the AQI index. The LSTM-ARIMA model gives 1-day forecast results with high accuracy (RMSE = 14.57; MAE = 7.81; MAPE = 16.3%) and maintains stable performance when forecasting is extended to 7 and 14 days, showing potential for application in air quality forecasting. The research results show that the LSTM-ARIMA model has better forecasting performance than single models, and can be scaled up and applied to other observation stations, contributing to the development of flexible forecasting systems that are suitable for the actual observational data conditions in developing cities.

Air pollution is a significant factor in public health challenges, increasing the rates of respiratory and heart-related illnesses. Accurate forecasting of changes in air quality is essential for raising community awareness and managing pollution effectively in urban areas. This research applies artificial intelligence methodologies for air quality forecasting in Ba Ria - Vung Tau Province, Vietnam. A long short-term memory (LSTM) model was employed, enhanced by a moving average method to mitigate dataset noise. An evaluation of the statistics shows that the air quality in the assessed region is predominantly satisfactory, with concentrations of some primary pollutants, such as NO2, SO2, and suspended particulate matter, remaining below the established regulatory limits. O3 centent frequently exceeded permissible thresholds, exerting a notable influence on VN_AQI. The developed LSTM-MA model demonstrated good predictive accuracy over a 7-day horizon, achieving a value of RMSE within the range of 0.157 - 0.271 and MAPE of 30 – 31%. For extended forecasts spanning 2 weeks to 1 month, the model maintained favorable performance, with RMSE and MAPE values ranging from 0.186 to 0.497 and 46.3 to 84.4, respectively. Additionally, comparative evaluations were conducted against conventional forecasting models, including LSTM and ARIMA. The findings showed that the LSTM-MA model exhibited exemplary performance and holds significant promise for predicting fluctuations in air quality over time.

Study to simulate the dispersion of air pollution and propose solutions to mitigate pollution from the Cat Lo Vung Tau fishing port, Ba Ria - Vung Tau province

Đánh giá hiện trạng và đề xuất các giải pháp kỹ thuật kinh tế giảm thất thoát nước tại Công ty cổ phần cấp nước Tân Hòa (thuộc Sawaco)

Application of TAPM-AERMOD model system to assess pollution spread and propose odor control solutions at Dap Da landfill, Dong Thap province

Ba Ria - Vung Tau (BRVT) is a province with a lot of potential for industrial development and is prioritizing attracting investment in supporting industry development - an industry group that almost always needs the plating process to complete product improvement. However, in project investment approval, projects with production technology processes including the plating process will encounter barriers due to Decision No. 2214/QD-UBND dated August 16, 2016 of the People's Committee of BRVT province. Therefore, it is necessary to develop a set of appropriate criteria to evaluate production and waste treatment technology to have a basis for adjusting investment attraction criteria more appropriately for the above industry group. The study analyzed the current state of operations of steel product factories in the province, focusing on projects with galvanizing processes. Actual investigation and collection of detailed assessments of production technology and waste treatment technology at factories. Combined with the expert consultation method and Analytical Hierarchy Process method, the study has screened and proposed an appropriate set of criteria to evaluate production technology and environmental treatment at steel product manufacturing facilities. The hot-dip galvanizing process includes 04 groups of criteria with 11 specific criteria. Initially, the assessment was applied at 5 factories manufacturing and processing steel products. According to the evaluation results, the selected factories are all classified as having a fair and high level of suitability in production technology and waste treatment. This result shows that the factories pay great attention to production technology and environmental treatment. In addition, the study has proposed directions to adjust criteria for considering and attracting investment for industrial groups that use galvanizing in general and hot-dip galvanizing in particular in the province.

Dự báo chất lượng không khí bằng mô hình LSTM-MA trường hợp sử dụng dữ liệu tại trạm quan trắc tự động ngã tư Giếng Nước, tỉnh Bà Rịa - Vũng Tàu

Nghiên cứu quản lý chất lượng không khí bằng công cụ mô hình tại khu công nghiệp Phú Mỹ 2 và Phú Mỹ 2 mở rộng, tỉnh Bà Rịa - Vũng Tàu

In the socio-economic development of Ba ria-Vung tau province, industrial development plays an important role, including the heavy industry of producing steel and steel billets from scrap. Currently, in the province, there are 6 steel factories that produce steel from scrap and operate in Phu My town. During the production process, although factories installed exhaust gas treatment facilities, the treatment has not been effective, leading to air pollution from steel factories becoming one of the issues that have received local attention recently. The study calculated air pollution emissions and used the TAPMAERMOD model system to simulate the dispersion of air pollution from a steel factory to surrounding areas, of which one factory was selected for a case study (in Phu My town). Simulation results showed that the highest 1-hour, 24-hour, or 8-hour average concentrations of SO2, NO2, CO, PM10, and PM2.5 all reached QCVN 05:2023/BTNMT in both seasons (dry and rainy). Meanwhile, the highest 1-hour average concentration of TSP exceeds 2.3 times (in the dry season) and 2.0 times (in the rainy season) in QCVN 05:2023/BTNMT. The study also simulated in the case of problem with exhaust gas treatment systems. In addition, the study calculated the environmental safety distance for the surrounding area and proposed measures to reduce air pollution from steel factories.