Simulation of wind-driven dispersion of fire pollutants in a street canyon using FDS

Air quality in urban areas attracts great attention due to increasing pollutant emissions and their negative effects on human health and environment. Numerous studies, such as those by Mouilleau and Champassith (J Loss Prevent Proc 22(3): 316–323, 2009), Xie et al. (J Hydrodyn 21(1): 108–117, 2009), and Yassin (Environ Sci Pollut Res 20(6): 3975–3988, 2013) focus on the air pollutant dispersion with no buoyancy effect or weak buoyancy effect. A few studies, such as those by Hu et al. (J Hazard Mater 166(1): 394–406, 2009; J Hazard Mater 192(3): 940–948, 2011; J Civ Eng Manag (2013)) focus on the fire-induced dispersion of pollutants with heat buoyancy release rate in the range from 0.5 to 20 MW. However, the air pollution source might very often be concentrated and intensive, as a consequence of the hazardous materials fire. Namely, transportation of fuel through urban areas occurs regularly, because it is often impossible to find alternative supply routes. It is accompanied with the risk of fire accident occurrences. Accident prevention strategies require analysis of the worst scenarios in which fire products jeopardize the exposed population and environment. The aim of this article is to analyze the impact of wind flow on air pollution and human vulnerability to fire products in a street canyon. For simulation of the gasoline tanker truck fire as a result of a multivehicle accident, computational fluid dynamics large eddy simulation method has been used. Numerical results show that the fire products flow vertically upward, without touching the walls of the buildings in the absence of wind. However, when the wind velocity reaches the critical value, the products touch the walls of the buildings on both sides of the street canyon. The concentrations of carbon monoxide and soot decrease, whereas carbon dioxide concentration increases with the rise of height above the street canyon ground level. The longitudinal concentration of the pollutants inside the street increases with the rise of the wind velocity at the roof level of the street canyon.     

Microbial perchlorate reduction with elemental sulfur and other inorganic electron donors

ClO(4)(-) has recently been recognized as a widespread contaminant of surface and ground water. This research investigated chemolithotrophic perchlorate reduction by bacteria in soils and sludges utilizing inorganic electron-donating substrates such as hydrogen, elemental iron, and elemental sulfur. The bioassays were performed in anaerobic serum bottles with various inocula from anaerobic or aerobic environments. All the tested sludge inocula were capable of reducing perchlorate with H2 as electron donor. Aerobic activated sludge was evaluated further and it supported perchlorate reduction with Fe(0) and S(0) additions under anaerobic conditions. Heat-killed sludge did not convert ClO(4)(-), confirming the reactions were biologically catalyzed. ClO(4)(-) (3mM) was almost completely removed by the first sampling time on d 8 with H2 (> or = 0.37mMd(-1)), after 22d with S(0) (0.18mM d(-1)) and 84% removed after 37d with Fe(0) additions (0.085mMd(-1)). Perchlorate-reduction occurred at a much faster rate (1.12mMd(-1)), when using an enrichment culture developed from the activated sludge with S(0) as an electron donor. The enrichment culture also utilized S(2-) and S(2)O(3)(2-) as electron-donating substrates to support ClO(4)(-) reduction. The mixed cultures also catalyzed the disproportionation of S(0) to S(2-) and SO(4)(2-). Evidence is presented demonstrating that S(0) was directly utilized by microorganisms to support perchlorate-reduction. In all the experiments, ClO(4)(-) was stoichiometrically converted to chloride. The study demonstrates that microorganisms present in wastewater sludges can readily use a variety of inorganic compounds to support perchlorate reduction.     

Contingent Valuation and Real Economic Commitments: Evidence from Electric Utility Green Pricing Programmes

This paper presents the findings of two 'green pricing' studies conducted to evaluate public support of utilities' investments in renewable energy technologies. These studies compared hypothetical WTP statements with actual payment commitments. The results of these studies indicate that the CVM can be an accurate indicator of an individual's WTP, but that it is an unreliable predictor of which individuals will actually pay. This has important implications for aggregating mean WTP estimates of the value of environmental benefits. It also suggests that market simulations can be useful for predicting programme participation rates when voluntary donations are used as a payment vehicle.     

An overview of reproductive carrier screening panels for autosomal recessive and/or X-linked conditions: How much do we know?

Background & Aim

Reproductive carrier screening seeks to identify couples at a high risk of having offspring affected by autosomal recessive and X-linked (XL) conditions. The aim of this paper is to provide a comprehensive overview of existing carrier screening panels by examining their gene content and characteristics, identifying the most common genes/conditions included in these panels, and analyzing their listed prices.

Methods

A comprehensive evaluation of existing carrier screening panels was conducted by searching for web-based content, reviewing information brochures, and establishing direct contact with the providers via email or phone.

Results

Twenty-two panels and their providers were identified with a cumulative total of 2205 unique genes. The number of genes included in these panels varied from 44 to 2054. Only 15 genes (0.7%) were included in all the panels. The carrier frequency of these 15 common genes and their associated conditions varied greatly, but the conditions associated with the genes are “severe”. The price of these 22 panels ranged from $349 to $4320 per couple (USD in 2023). The correlation between the listed price and the number of selected genes among these panels was small and not statistically significant (r = 0.1023, p = 0.6959).

Conclusion

Considerable discrepancies exist among carrier screening panels. Ongoing research and monitoring are necessary to capture the dynamic nature of the carrier screening landscape, providing up-to-date information for clinical practice and informed decision-making.