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Incomplete information regarding emissions from oil and natural gas production has historically made it challenging to characterize the air quality or air pollution-related health impacts for this sector in the United States. Using an emissions inventory for the oil and natural gas sector that reflects information regarding the level and distribution of PM and ozone precursor emissions, we simulate annual mean PM and summer season average daily 8 h maximum ozone concentrations with the Comprehensive Air-Quality Model with extensions (CAMx). We quantify the incidence and economic value of PM and ozone health related effects using the environmental Benefits Mapping and Analysis Program (BenMAP). We find that ambient concentrations of PM and ozone, and associated health impacts, are highest in a handful of states including Colorado, Pennsylvania, Texas and West Virginia. On a per-ton basis, the benefits of reducing PM precursor emissions from this sector vary by pollutant species, and range from between $6,300 and $320,000, while the value of reducing ozone precursors ranges from $500 to $8,200 in the year 2025 (2015$).
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http://dx.doi.org/10.1021/acs.est.8b02050 | DOI Listing |
Chem Rec
September 2025
Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management (IRC-HTCM), King Fahd University of Petroleum & Minerals, KFUPM Box 5040, Dhahran, 31261, Saudi Arabia.
The synthesis of biomass-derived nanocarbons via ball milling has emerged as an innovative, sustainable, and cost-effective strategy in the field of nanotechnology. This review comprehensively explores the principles, mechanisms, and process parameters that influence the production of high-quality nanocarbons from biomass using ball milling. This process efficiently transforms biomass residues into nanoscale carbon, including graphene, carbon nanotubes, and nanofibers, with tunable physicochemical properties tailored for advanced applications.
View Article and Find Full Text PDFNanoscale
September 2025
School of Mechanical Engineering, Shandong University of Technology, Zibo 255000, China.
Metal matrix composites are widely employed in aerospace and marine engineering due to their excellent mechanical properties and chemical stability. However, their surfaces remain vulnerable to corrosion, icing, and mechanical wear, severely compromising long-term reliability in harsh environments. Inspired by natural superhydrophobic surfaces such as lotus leaves, functional interfaces with high water repellency and interfacial stability can be engineered through the synergistic design of hierarchical micro/nanostructures and low-surface-energy chemical modifications.
View Article and Find Full Text PDFAquac Nutr
August 2025
Department of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr, Iran.
A 60-day research was conducted to evaluate the influence of dietary fish oil (FO) and selenium nanoparticles (SeNPs) on performance of juveniles (2.4 ± 0.0 g) reared in seawater (SW) or hypersaline (HS) water conditions.
View Article and Find Full Text PDFACS Omega
September 2025
Department of Electrical and Computer Engineering, North South University, Bashundhara, Plot # 15, Dhaka Division, Dhaka 1229, Bangladesh.
Air pollution is a critical threat to human health and the quality of life in large cities. In this work, we electrically characterized indoor air quality in Dhaka City with a microcontroller-based advanced sensing system in the presence of 60 air purifiers. We conducted LabVIEW-controlled, fully automated, and remotely operated experiments to precisely monitor, store, and analyze the air-purifying effects in the concentrations of air quality index (AQI) parametersPM2.
View Article and Find Full Text PDFACS Omega
September 2025
Shandong Provincial Key Laboratory of Oil, Gas and New Energy Storage and Transportation Safety, China University of Petroleum, Qingdao, Shandong 266580, People's Republic of China.
The natural gas pipeline network has a complex topology with variable flow directions, and the supply demand relationships between nodes exhibit cyclical, fluctuating, and time-varying trends. Developing efficient, accurate, and fast intelligent control algorithms is crucial for optimizing the distribution of natural gas networks. Analyzing the operational data from a provincial network over three years revealed that abnormal flow data, such as supply interruptions due to incidents, early fulfillment of supply, and insufficient flow distribution, can cause deviations between the actual transmission volume and the planned transmission volume predicted by the uneven coefficient method.
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