Air Emissions Research Articles

Optimal selection of healthcare waste treatment devices using fuzzy-rough approach.

The escalating volume of healthcare waste (HCW) generated by healthcare facilities poses a pressing challenge for all nations. Adequate management and disposal of this waste are imperative to mitigate its adverse impact on human lives, wildlife, and the environment. Addressing this issue in Bosnia and Herzegovina involves the establishment of a regional center dedicated to HCW management. In practice, there are various treatments available for HCW management. Therefore, it is necessary to determine the priority for procuring different treatments during the formation of this center. To assess these treatment devices, expert decision-making employed the fuzzy-rough approach. By leveraging extended sustainability criteria, experts initially evaluated the significance of these criteria and subsequently assessed the devices for HCW treatment. Employing the fuzzy-rough LMAW (Logarithm Methodology of Additive Weights), the study determined the importance of criteria, highlighting "Air emissions" and "Annual usage costs" as the most critical factors. Utilizing the fuzzy-rough CoCoSo (the Combined Compromise Solution) method, six devices employing incineration or sterilization for HCW treatment were ranked. The findings indicated that the "Rotary kiln" and "Steam disinfection" emerged as the most favorable devices for HCW treatment based on this research. This conclusion was validated through comparative and sensitivity analyses. This research contributes by proposing a solution to address Bosnia and Herzegovina's HCW challenge through the establishment of a regional center dedicated to HCW management.

Air emission and health impacts of a US industrial energy efficiency program

Air emission and health impacts of a US industrial energy efficiency program

Analysis of Potential Environmental Risks in the Hydraulic Fracturing Operation in the “La Luna” Formation in Colombia

This article presents an in-depth analysis of potential environmental risks associated with hydraulic fracturing operations within the “La Luna” formation in Colombia. Using the Conesa methodology, it assesses the environmental impacts of unconventional reservoir production in Colombia, including water usage, chemical additives, air emissions, and the potential for groundwater contamination. This study incorporates comprehensive data on geological characteristics, operational procedures, and environmental conditions specific to the region. This analysis highlights the need for a proactive approach to managing potential environmental risks associated with hydraulic fracturing in Colombia. The findings underscore the importance of implementing robust regulatory measures, comprehensive monitoring systems, and the industry’s best practices to mitigate and prevent adverse environmental impacts. This research contributes to the ongoing global dialogue on the environmental implications of hydraulic fracturing in regions with sensitive ecological conditions. The environmental impacts of unconventional reservoirs are widely recognized as a general consensus; however, the absence of applied studies with the rigor of an explicit methodology in Andean countries highlights the need for specific research in this region. This article addresses this gap by proposing a detailed and structured methodology to assess and mitigate environmental impacts in unconventional reservoirs. Emphasizing the importance of knowing the characteristics of reservoir fluids, this research highlights that this critical information is only revealed by drilling exploration wells and PVT (pressure, volume, and temperature) analysis. Obtaining this data is crucial for shaping specific mitigation measures, thus allowing for the formulation of a robust environmental management plan tailored to the conditions of the reservoirs in the Andean region. This precise and contextualized approach contributes to closing the knowledge gap and promotes more sustainable practices in the exploitation of unconventional reservoirs in this specific geographical context. The methodology used in this study proved its effectiveness by accurately quantifying the risks associated with each of the environmental alterations inherent to the hydraulic fracturing process in the La Luna formation. The results obtained allowed for the identification of the critical points most susceptible to environmental impacts, serving as a solid basis for the elaboration of an environmental management plan. This strategic approach not only enabled the delineation of specific mitigation measures but also facilitated the selection of the most appropriate locations for the implementation of the plan, maximizing the effectiveness of corrective actions. It is noteworthy that the successful application of the Conesa methodology in this unconventional reservoir context evidences the versatility and applicability of this approach, consolidating it as a valuable tool for environmental assessment and effective planning in the hydraulic fracturing industry.

Cleaning up while Changing Gears: The Role of Battery Design, Fossil Fuel Power Plants, and Vehicle Policy for Reducing Emissions in the Transition to Electric Vehicles.

Plug-in electric vehicles (PEVs) can reduce air emissions when charged with clean power, but prior work estimated that in 2010, PEVs produced 2 to 3 times the consequential air emission externalities of gasoline vehicles in PJM (the largest US regional transmission operator, serving 65 million people) due largely to increased generation from coal-fired power plants to charge the vehicles. We investigate how this situation has changed since 2010, where we are now, and what the largest levers are for reducing PEV consequential life cycle emission externalities in the near future. We estimate that PEV emission externalities have dropped by 17% to 18% in PJM as natural gas replaced coal, but they will remain comparable to gasoline vehicle externalities in base case trajectories through at least 2035. Increased wind and solar power capacity is critical to achieving deep decarbonization in the long run, but through 2035 we estimate that it will primarily shift which fossil generators operate on the margin at times when PEVs charge and can even increase consequential PEV charging emissions in the near term. We find that the largest levers for reducing PEV emissions over the next decade are (1) shifting away from nickel-based batteries to lithium iron phosphate, (2) reducing emissions from fossil generators, and (3) revising vehicle fleet emission standards. While our numerical estimates are regionally specific, key findings apply to most power systems today, in which renewable generators typically produce as much output as possible, regardless of the load, while dispatchable fossil fuel generators respond to the changes in load.

Indoor air quality in Kazakh households: Evaluating PM2.5 levels generated by cooking activities

AbstractThe present study introduces a concentration estimation model for indoor inhalable fine particles (PM2.5) during cooking activities in typical Kazakh houses, which are generally poorly ventilated with high emission levels. The aim of the present work is to identify factors influencing PM2.5 concentrations during cooking and elucidate the mechanisms underlying the build‐up and reduction of PM2.5 concentrations. These are achieved through a methodology that combines PM2.5 sampling, monitoring, and modeling to predict household PM2.5 levels and estimate daily concentrations. Specifically, USEPA's IAQX v1.1 was employed to simulate the one‐zone concept (kitchen) for concentrations related to cooking activities in several households. The results reveal that PM2.5 concentrations varied between 13 and 266 μg/m3 during cooking activities. Factors such as kitchen size, air exchange characteristics, and the type of food and cooking style were identified as important, influencing the observed concentrations. The model accurately captured concentration trends (R > 0.9). However, certain predictions tended to overestimate the measurements, attributing to inaccuracies in selecting air exchange and emission rates. Cooking activities contributed to household air pollutant (HAP) PM2.5 levels ranging from 9% to 94%. Notably, during the non‐heating period of the year (corresponding to the warmer half of the year), the impact of cooking became more significant and was identified as a major contributor to indoor PM2.5 concentrations. Conversely, during the heating period (i.e., the colder part of the year), outdoor PM levels and household ventilation practices played primary roles in regulating indoor air concentrations. This present study presents one of the initial efforts to assess household air pollutants in Central Asia, providing foundation and insights into the indoor air quality of Kazakh houses, where the understanding of indoor air quality remains limited. Future research recommendations include developing advanced models that account for individual activity patterns and specific house types for improved accuracy and representativeness.

Assessment of Some Trace Elements in Surface Water and Soil near Al-Ahdab Oil Field, Wasit Governorate, Iraq

The main objective of this munscript is to spot light on the negative consequences of oil emissions from Al-Ahdab oil field on the water and soil surrounding the oil field at Wasit Governorate. To obtain this objective, seven sediment samples were collected from the surfacre soil, in addition to five water samples from the Tigris River near Al-Ahdab oil field within Al-Kut Wasit governorate. The more effective eight trace elements were chosen to detect the limitations of their occurrence in the soil and water of the study area, these are Fe, Cd, Cu, Cr, Ni, Pb, Zn, and Zr. The Zr is used as a background for the specific equations applied. Samples of sediments and water were collected in October 2022. The standardization of the Enrichment Factor (EF), geo-accumulation index (I-geo), and contamination factor (CF) in addition to the pollution load index (PLI) were applied to detect the extent of soil pollution. In contrast, the hydrochemistry of water samples was determined by comparing the results of the analysis with the standards of WHO, 2018, and IQS, 2009. The enrichment factor value (EF) Cadmium value (Cd) in soil samples is 6.6, which reflects a significant impact of air emissions, the cobalt (Co) value is 1.77m this value reflects minimum Enrichment factor while the EF has a rather moderate enrichment factor. By applying the I-geo equation, the oitput results indicate unpolluted soil for Co, and Ni metals, while it is moderately polluted for Cu, Cr, Zn, and Pb metals. According to the PLI index, the soil of the study area is ordered as moderately contaminated for these metals. As for the hydrochemistry of surface water of the Tigris River near the study area, the water samples are classified as not contaminated by (Ni, Cd, Pb, Zn, Cr, and Cu).

A Review of Transportation Aviation Operational Safety Research in China and the United States

According to relevant data from ICAO and China's civil aviation, the global aviation industry is in a gradual recovery phase. As the world's first and second largest aviation markets, China and the U.S. have extensive cooperation in a number of fields such as aircraft and airborne equipment manufacturing, pilot training, air traffic management, energy conservation and emission reduction. Working together to address challenges and accelerate economic recovery is the main theme of the world today, and is a common priority for the global civil aviation industry. China and the United States have the responsibility to cooperate in all aspects under the framework of ICAO's Global Development Initiative and play a greater role in the recovery and development of global civil aviation.

Penentuan Beban Emisi Karbon Dioksida PLTU Batubara Pulau Jawa dari Hasil Pengukuran CEMS

Climate change is a real phenomenon that occurs and is felt by all living things that live on earth. The increase in earth's surface temperature is one of the impacts of climate change that continues to occur and has the potential to threaten the sustainability of human life. Carbon dioxide is the main greenhouse gas that exacerbates this condition. One of the largest sources of carbon dioxide emissions comes from the energy sector, namely coal-fired power plants (CFPP). Java Island has CFPP’s with the largest total installed capacity in Indonesia, even the capacity will continue to be added by 8,5 GW or 39,4% until 2030. In its operation, the CFPPs have an air emission measuring device before being discharged into the atmosphere which works continuously called the Continuous Emission Monitoring System (CEMS). To be able to take appropriate climate change mitigation and adaptation steps, CO2 emission load data that has high accuracy and is analyzed directly is needed. The CO2 emission load generated from 20 CFPP units as the object of research is 88,56 million tons of CO2/year. The greater the generating capacity, the greater the CO2 emissions produced. The higher the quality of coal used, the lower the CO2 emissions tend to be. To support global efforts to combat climate change, mitigation actions are needed to reduce CO2 emissions into the atmosphere.

Analisis Komposisi Sampah Sebagai Dasar Pemilihan Metode Pengelolaan Sampah pada Green Building

The waste piles in the landfill pose a higher environmental hazard compared to the waste at its source due to the potential formation of leachate and air emissions. Consequently, waste management from the source is essential to minimize the amount of waste in the landfill. The waste management methods at each location typically vary based on the composition, characteristics, and quantity of waste present in that specific area. In this study, an analysis of waste piles at facility X was conducted through the process of sorting and weighing the waste during October 2023, with the objective of providing research findings that can be utilized to determine suitable waste management options for the location. The research revealed that the dominating composition of the waste consists of organic waste, with garden waste accounting for 55.95% and food residue comprising 10.75%. Composting was selected as the recommended alternative for waste treatment in the area. Garden waste, primarily composed of dry leaves, is suggested to be treated using the pile composting method, while food residue is suggested to be treated through a combination of Black Soldier Fly larvae biotechnology and Takakura composting.

Sociodemographic inequities in the burden of carcinogenic industrial air emissions in the United States.

Industrial facilities are not located uniformly across communities in the United States, but how the burden of exposure to carcinogenic air emissions may vary across population characteristics is unclear. We evaluated differences in carcinogenic industrial pollution among major sociodemographic groups in the United States and Puerto Rico. We evaluated cross-sectional associations of population characteristics including race and ethnicity, educational attainment, and poverty at the census tract level with point-source industrial emissions of 21 known human carcinogens using regulatory data from the US Environmental Protection Agency. Odds ratios and 95% confidence intervals comparing the highest emissions (tertile or quintile) to the referent group (zero emissions [ie, nonexposed]) for all sociodemographic characteristics were estimated using multinomial, population density-adjusted logistic regression models. In 2018, approximately 7.4 million people lived in census tracts with nearly 12 million pounds of carcinogenic air releases. The odds of tracts having the greatest burden of benzene, 1,3-butadiene, ethylene oxide, formaldehyde, trichloroethylene, and nickel emissions compared with nonexposed were 10%-20% higher for African American populations, whereas White populations were up to 18% less likely to live in tracts with the highest emissions. Among Hispanic and Latino populations, odds were 16%-21% higher for benzene, 1,3-butadiene, and ethylene oxide. Populations experiencing poverty or with less than high school education were associated with up to 51% higher burden, irrespective of race and ethnicity. Carcinogenic industrial emissions disproportionately impact African American and Hispanic and Latino populations and people with limited education or experiencing poverty thus representing a source of pollution that may contribute to observed cancer disparities.

The Effect of Air Injection Flowrate on Nitrate Synthesis with The Addition of Fe2+ Ions Using Plasma Electrolysis

This study aims to determine the effect of air flow rate on nitrate synthesis with the addition of Fe2+ ions using the plasma electrolysis method. Nitrate synthesis usually uses conventional technology that causes air emissions. So that plasma electrolysis technology is needed that does not cause emissions and is environmentally friendly. The methods used in this study include designing a plasma electrolysis reactor using 0.02 M K2SO4 electrolyte, testing the plasma electrolysis reactor to determine the formation of a glow discharge zone as an indicator of the nitrate synthesis process, testing nitrate production using a UV VIS spectrophotometer and •OH radicals using HPLC. The air reaction rate at variations of 0.2 Lmen-1, 0.4 Lmen-1, 0.6 Lmen-1, 0.8 Lmen-1 and 1 Lmen-1 was injected into the reactor. The concentration of Fe2+ ions at 10 ppm, 20 ppm, 30 ppm, 40 ppm and 50 ppm was analyzed to determine the effectiveness of the ion. The results obtained were that the highest nitrate at 400 Watt power was 2976 ppm, at 500 Watt power was 3063 ppm, and at 600 Watt power was 3373 ppm. the highest nitrate production was achieved at a concentration of 30 ppm with a result of 2785 ppm, followed by a concentration of 40 ppm with a result of 2645 ppm, a concentration of 20 ppm with a result of 2512 ppm, a concentration of 10 ppm with a result of 2478 ppm, and a concentration of 50 ppm with a result of 2364 ppm..

Challenges to sustainable production: a case study of machining process

Nowadays, a very important aspect of industry is the realization of sustainable production (SP) goals in three areas: economic, environmental and social. SP in machining requires production to be carried out in line with Sustainability Developments Goals (SDGs). The SDGs are adopted by the United Nations, and this is a set of global goals to support the implementation of actions to achieve a sustainable tomorrow, e.g. carbon footprint reduction, circular economy improvement, and social responsibility. Although the SDGs are developed nationally, their implementation requires sub-national and local action. In terms of the machining process, the following challenges can be defined in the context of improving the level of SP: waste management, improving the efficiency of energy consumption, reducing pollution in the production hall, improving safety and health of work, complexity of SP, etc. This article includes a detailed discussion of problems in the area of air emissions and pollution in production halls and employee health problems based on a case study of machining process. The research experiments were carried out in laboratory conditions for the turning process and the level of pollutants during the realization of this process thanks to the use of Industry 4.0 technology, namely the Internet of Things (IoT) was monitored. The received results made it possible to define challenges for production managers in the context of increasing the level of SP in machining processes in the environmental aspect.

Сотрудничество Китая и Республики Корея в экологической сфере и его влияние на регион Восточной Азии

In this article, the authors consider the issues of cooperation between China and the Republic of Kazakhstan in the field of Ecology. Recently, severe air pollution in China is becoming a serious environmental problem in East Asia. Air pollutants from China are becoming the main external factor in the deterioration of air quality in the Republic of Korea. Fine dust is transported over long distances, and under conditions of high concentration in the air, it looks like fog. Over the past few years, the Korean government and the PRC government have actively promoted policies to reduce "fine dust" and improve the air in the region. The solution of air pollution problems between South Korea and China involves the consideration of the issue of reducing air emissions by the PRC, expanding cooperation between the two states in the field of Environmental Policy. The study of environmental cooperation between the PRC and the Republic of Korea, the analysis of current issues in the field of Ecology on the basis of fine dust and the results of bilateral cooperation will determine the outcome of the environmental problem in the region. The main approach and method of studying this topic of research is"case studies", empirical methods of content analysis and information collection. In the article, the authors tried to use the most relevant data to help future readers conduct research. In conclusion, the authors conclude that the need to create conditions for the unhindered promotion of cooperation in the field of the air environment and the development of environmental cooperation between Korea and China is the priority task of the two states.

Emission inventory of PFASs and other fluorinated organic substances for the fluoropolymer production industry in Europe.

Fluoropolymers are a group of fluorinated polymers within the broad class of substances known as per- and polyfluoroalkyl substances (PFASs). During their production, a wide array of additional fluorinated organic substances (many PFASs and some not defined as PFASs) are used, formed and emitted to air and water. This study aims to assess, and make an inventory of, all emissions of PFASs and other fluorinated organic substances by the fluoropolymer production industry in Europe using available emission databases and permits. Air emissions of the fluorinated gases (i.e., chlorofluorocarbons, hydrofluorocarbons, hydrochlorofluorocarbons and perfluorocarbons (CFCs, H(C)FCs and PFCs)) by this industry have reportedly decreased between 2007 and 2021 from roughly 500 to 150 tonnes per year. Emissions of fluorosurfactants to air and water have also been reduced significantly. However, large uncertainties remain regarding the emissions of substances that are neither fluorinated gases nor fluorosurfactants but are classified as PFASs, such as polymerization by-products, chain transfer agents and fluorinated solvents. The available data indicate that the release of these substances is not decreasing but remains relatively stable. As this inventory probably underestimates emissions, further research, improved data availability and more harmonized reporting of emissions are necessary to obtain more accurate emission data for these substances. Nevertheless, based on the available data, it is clear that the emissions from fluoropolymer production plants to air and water are still significant and that the production of fluoropolymers continues to introduce persistent substances to the environment.

The Cumulative Impacts of Emissions from Thermal Power Plants on the Air Quality of Karachi through AERMOD Modeling.

The quality of air emissions in Pakistani mega cities is one of the worst in the world. Urban air contamination is assessed to be responsible of 0.865 M unexpected losses consistently and about 60% of these passing’s happen in Asia, continuous increase in urbanization, industrialization and motorization caused a substantial rise in various air pollutants, which has notable impacts on human health and environment. Environmental Impact Assessment is mandatory for future projects in Pakistan, but Cumulative Impact Assessment (CIA) process is not available in the country, the mega city like Karachi needs strict criteria to overcome the air quality issue on priority basis therefore, AERMOD Model along with ArcGIS have been used to provide a practical CIA tool to Sindh Environmental Protection Agency. In this study five proposed thermal power plants of total 3440-50 MW were selected where two types of cumulative impacts were modeled. The short-term cumulative impacts of Nitrous Oxides (NOx) and Sulphur Dioxide (SO2) were considered as 1-h and 24- h, whereas long term were considered as annual. The results of NOx emissions were 170 μg/m3 for 1st percentile 1-h, 33 μg/m3 for 1st percentile 24-h and 1st percentile annual was 14.5 μg/m3. While the SO2 emissions were 199 μg/m3 for 1st percentile 1-h, 29.8 μg/m3 for 1st percentile 24-h and long-term 1st percentile annual was 7.5 μg/m3 respectively. All the limits are complying with national and international standards because, the wind speed (5-8 m/s) and wind direction has a substantial impact on flow field which results in lowering the ground level concentrations of the pollutants in the study area. This is further caused by the strong sea breeze from the Arabian Sea which is termed as blessing for the residents of the study area.

Integrated hybrid multi-regional input-output for assessing life cycle air emissions of the Italian power system

The air emissions of the Italian power system, as well as national emissions between 2010 and 2017 and projections to 2040, have been assessed from a lifecycle perspective, using an integrated hybrid two-region input-output model of Italy versus the rest of the world. The Italian economy is divided into 42 sectors, including electricity, which is further disaggregated into seven technologies. Detailed electricity sector data, from Istat, are fed into the EXIOBASE input-output database. NAMEA tables represent overall air emissions, while the Ecoinvent database is used for the electricity sector. Electricity transition scenarios from Terna and Snam have been integrated into input-output and air emission databases. Demand and emissions were tracked within the electricity sector over medium-term, and the findings showed a sharp decrease between 2017 and 2025, from 97.5 MtCO2 to 32.6 MtCO2. By 2040, air emissions from the electricity sector are expected to grow gradually, compared to those of 2030, from 22.2 MtCO2 to 25.9 MtCO2, suggesting that the demand between 2030 and 2040 grows faster than the decarbonization effort during the same period. There is an overall, gradual downtrend between 2010 and 2040, with all air emission categories declining by half from both production and consumption-based perspectives in this period.

Evaluation of Bottom-UP Methodologies in Estimating Atmospheric Emissions from Ships: A Case Study of the Itaguaí-RJ Port Complex

Objective: The present study aims to evaluate the two main bottom-up emission estimation methodologies adopted worldwide for preparing vessel emissions inventories, in order to verify their limitations, as well as best practices. Theoretical framework: This study was conducted based on a bibliographical survey of methodologies adopted to estimate emissions, with the premise being the impact on the environment as a result of maritime transport. Methodology: The two most adopted methodologies, AP-42 from the United States Environmental Protection Agency (USEPA, 2009) and the European Environment Agency (EEA, 2019), were selected to estimate pollutant and Greenhouse Gas (GHG) emissions from vessels during hoteling in the Itagui Port Complex (IPC), from 2017 to 2021. Additionally, the study evaluates the application of methodologies in constructing an emissions inventory. Results and conclusion: The results indicate that container ships were identified as the largest sources of pollution by the EEA methodology (2019), unlike the USEPA method (2009), which identifies bulk carriers. Adopting the EEA (2019) methodology, total emissions were higher than USEPA (2009), up to 45 times higher for NOx and 174 times for PM10, while for SO2 it differs by only 26%. Implications of the research: The study is of fundamental relevance, as choosing the most appropriate methodology for estimating emissions is a crucial step for air quality management and emission mitigation measures. Originality/value: This research has social, scientific and environmental value carried out with real data, implying originality in the discussions presented.

A machine learning study on a municipal solid waste-to-energy system for environmental sustainability in a multi-generation energy system for hydrogen production

Municipal solid waste (MSW)-to-energy systems have gained significant attention in recent years for their potential to produce renewable energy from waste. These systems involve the conversion of MSW into electricity, heat or fuel. One of the most promising applications of MSW-to-energy systems is the production of hydrogen, which is considered a clean and sustainable fuel. Machine learning algorithms have the potential to revolutionize the way MSW-to-energy systems are managed. The integration of machine learning into MSW-to-energy systems has the potential to significantly improve the sustainability and profitability of this industry. In this study, a novel integrated MSW-to-energy system is modeled to produce hydrogen, power, and oxygen and with capacities of heating water and air. Hydrogen production, power production, oxygen storage, hot water, hot air, and system emission are predicted using machine learning algorithms based on regression models with high validity and R2 values more than 99.8% having errors smaller than 1%. The reduced regression models are developed by eliminating the insignificant variables from the full algorithms using the analysis of variance. The findings reveal high accuracy for the reduced regression models while their errors slightly decrease to 2%. This suggests that the machine learning algorithms can also be used as an effective tool to further improve MSW-to-energy systems.

Local Green Marketing Business Environmental Regulatory Framework for Bataan MSME Food Processing: Consultative Development Process

The overarching goal of this exploratory sequential mixed methods design is to evaluate the environmental practices of specific small and medium enterprises (SMEs) in Bataan, Philippines, with a focus on green marketing aspects such as raw material usage, energy consumption, water conservation, waste management, air emissions, and wastewater treatment. Additionally, the study investigates the degree of public involvement in formulating regulations related to green marketing. Respondents, comprising business owners and local government officials, were chosen through a two-step cluster sampling method for quantitative analysis and purposeful sampling for qualitative insights. More so, it revealed a consistent implementation of environmentally friendly practices and green marketing management among SMEs. Interviews with business owners and local government officials yielded positive responses regarding the development of local green marketing policies, particularly for businesses in the food processing sector. Through the analysis and interpretation of collected data, the study provided valuable insights guiding the formulation of a regulatory framework for green marketing. Keywords: green marketing, environmental performance, environmental management, food processing, micro small medium enterprises, eco-labeling policy.

TOXIC CHEMICAL EMISSIONS AND DEMENTIA RISK: RESULTS FROM THE CARDIOVASCULAR HEALTH COGNITION STUDY

Abstract Air pollution is a modifiable risk factor for dementia. Yet, studies on specific forms of air pollution (e.g., toxic chemical emissions from industrial facilities) and dementia risk are underexplored. We examined associations between toxicity-weighted concentrations of industrial pollution and dementia outcomes among a large, multi-site cohort of older adults. Participants (n=2,770) were ≥ 65 years old (M=75.3, SD=5.1 years) from the Cardiovascular Health Cognition Study. Toxicity-weighted concentrations were estimated using the Risk Screening Environmental Indicator (RSEI) model which incorporates total reported chemical emissions with toxicity, fate, and transport models. Estimates were aggregated to participants’ baseline census tract, averaged across 1988-1992, and log10-transformed. Dementia status was clinically adjudicated in 1998-1999 (M=5.2 person-periods) by subtype (all-cause, Alzheimer’s, vascular, mixed). We assessed whether RSEI-estimated toxicity-weighted concentrations were associated with: 1) odds of prevalent dementia and 2) incident dementia risk by subtype. After adjusting for individual and neighborhood-level covariates, a 1-unit increase in log10-toxicity was associated with a 34% increase in the odds of prevalent dementia (OR=1.34, 95% CI: 1.01, 1.78). In discrete-time survival models, each 1-unit increase in log10-toxicity was associated with a 65% increased hazard of vascular dementia (HR=1.65, 95% CI: 1.04, 2.61) but was not significantly associated with all-cause, Alzheimer’s disease, or mixed dementia. Living in regions with higher toxic air emissions was associated with greater odds of prevalent dementia and a heightened risk of incident vascular dementia. Results suggest that the RSEI model may be a novel screening tool for examining associations between toxic chemical releases and dementia risk.