Environmental drivers impact the accumulation and diversity of antibiotic resistance in green stormwater infrastructure.

Antibiotic resistance poses an urgent public health concern, with the environment playing a crucial role in the development and dissemination of resistant bacteria. There is a growing body of research indicating that stormwater is a significant source and transport vector of resistance elements. This research sought to characterize the role of green stormwater infrastructure (GSI), designed for stormwater infiltration, in accumulating and propagating antibiotic resistance in the urban water cycle.

Review of emerging contaminants in green stormwater infrastructure: Antibiotic resistance genes, microplastics, tire wear particles, PFAS, and temperature.

Green stormwater infrastructure is a growing management approach to capturing, infiltrating, and treating runoff at the source. However, there are several emerging contaminants for which green stormwater infrastructure has not been explicitly designed to mitigate and for which removal mechanisms are not yet well defined. This is an issue, as there is a growing understanding of the impact of emerging contaminants on human and environmental health.

Antibiotic resistance genes in an urban stream before and after a state fair.

The global spread of antibiotic resistance genes (ARGs) concomitant with a decrease in antibiotic effectiveness is a major public health issue. While research has demonstrated the impact of various urban sources, such as wastewater treatment plant (WWTP) effluent, stormwater runoff, and industrial discharge on ARG abundance in receiving waters, the impact of short-term gatherings such as state fairs is not comprehensively understood. The objective of this research was to explore the impact of a 2-week Wisconsin State Fair gathering - over 1.

Analysis of operational parameters, reactor kinetics, and floc characterization for the removal of estrogens via electrocoagulation.

Estrogenic compounds can cause human and ecological health issues and have been detected in surface and drinking water. In this research a reactor analysis determined the impact of operational parameters, the best fit kinetic model for the removal of estrone (E1), 17β-estradiol (E2), estriol (E3), and 17α-ethynylestradiol (EE2) using a bench-top iron electrocoagulation reactor, and characterized the floc generated in-situ. The parameters investigated were current density, conductivity, stir rate, and polarity reversal.