Emission inventories of ozone precursors are routinely used as input to comprehensive photochemical air quality models. Photochemical model performance and the development of effective control strategies rely on the accuracy and representativeness of an underlying emission inventory. This paper describes the tasks undertaken to compile and evaluate an ozone precursor emission inventory for the El Paso/Ciudad Juárez/Southern Doña Ana region. Point, area and mobile source emission data were obtained from local government agencies and were spatially and temporally allocated to a gridded domain using region-specific demographic and land-cover information. The inventory was then processed using the US Environmental Protection Agency (EPA) recommended Emissions Preprocessor System 2.0 (UAM-EPS 2.0) which generates emissions files compatible with the Urban Airshed Model (UAM). A top down evaluation of the emission inventory was performed to examine how well the inventory represented ambient pollutant compositions. The top-down evaluation methodology employed in this study compares emission inventory ratios of non-methane hydrocarbon (NMHC)/nitrogen oxide (NOx) and carbon monoxide (CO)/NOx ratios to corresponding ambient ratios. Detailed NMHC species comparisons were made in order to investigate the relative composition of individual hydrocarbon species in the emission inventory and in the ambient data. The emission inventory compiled during this effort has since been used to model ozone in the Paso del Norte airshed (Emery et al., CAMx modeling of ozone and carbon monoxide in the Paso del Norte airshed. In: Proc of Ninety-Third Annual Meeting of Air & Waste Management Association, 18-22 June 2000, Air & Waste Management Association, Pittsburgh, PA, 2000).
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http://dx.doi.org/10.1016/s0048-9697(01)00776-8 | DOI Listing |
Water Sci Technol
January 2025
Department of Engineering, School of Engineering and Technology, Sunway University, Bandar Sunway, Petaling, Jaya 47500, Malaysia.
Coal power plants adversely impact air pollution, but they also pose a risk to our water sources. Discharge wastewater from power plants may degrade the quality of nearby water bodies. This study evaluates the potential water-related environmental impacts of electricity generation at an ultra-supercritical coal power plant in Malaysia using the life cycle assessment method.
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January 2025
Department of Chemistry, Faculty of Science, University of Dhaka, Dhaka, 1000, Bangladesh.
This study investigated the ramifications of black carbon (BC) emissions on human health during the winter season of December 2019 to February 2020 in Dhaka, Bangladesh. BC, arising from incomplete combustion of fossil and biofuels, underwent meticulous measurement of densities, concentrations, and emissions at two pivotal sites. Employing low-volume air samplers with Quartz filters and subsequent analysis with an Aethalometer (Soot scanner, OT21, USA), the study unveiled monthly average BC densities of 1.
View Article and Find Full Text PDFWater Res
January 2025
Department of Chemical Engineering, University of Bath, Claverton Down, Bath BA2 7AY, UK; SWING - Department of Built Environment, Oslo Metropolitan University, St Olavs plass 0130, Oslo, Norway. Electronic address:
Climate resilience in water resource recovery facilities (WRRFs) necessitates improved adaptation to shock-loading conditions and mitigating greenhouse gas emission. Data-driven learning methods are widely utilised in soft-sensors for decision support and process optimization due to their simplicity and high predictive accuracy. However, unlike for mechanistic models, transferring machine-learning-based insights across systems is largely infeasible, which limits communication and knowledge sharing.
View Article and Find Full Text PDFAnal Chim Acta
March 2025
Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan, 250022, PR China; Department of Chemistry, Sungkyunkwan University, Suwon, 16419, Republic of Korea. Electronic address:
The development of aggregation-induced emission (AIE) luminophores is a fascinating and promising topic in electrochemiluminescence (ECL) bioanalysis. Herein, the AIE-active but water-insoluble [Ir(bt)₂(acac)] (bt = 2-phenylbenzothiazole, acac = acetylacetonate) was encapsulated within poly(styrene-maleic anhydride) (PSMA) using a simple nanoprecipitation method. This encapsulation strategy could effectively limit the free motion of Ir(bt)₂(acac) and trigger the aggregation-induced electrochemiluminescence (AIECL) effect.
View Article and Find Full Text PDFiScience
January 2025
Chair of Sustainable Engineering, Technische Universität Berlin, Berlin, Germany.
The climate impact of data centers is expected to increase due to rising demand for information and communication technology services. At the same time, the European Union aims for climate neutral data centers by 2030. To map potential developments of emissions associated with data centers to the year 2030, we develop a generic data center greenhouse gas (GHG) inventory in accordance with the GHG protocol.
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