Unprecedented rainfall after Hurricane Harvey caused a catastrophic flood in the southern coast of Texas, and flushed significant floodwater and sediments into Galveston Bay, the largest estuary along the Texas Gulf Coast. This study investigated the immediate and long-term (6 months post-Harvey) fecal indicators, pathogenic bacteria, antibiotic resistance genes (ARGs), and ecotoxicity in the Galveston Bay. Dramatic decrease of salinity profile to zero, increased levels of fecal indicator bacteria and pathogenic bacteria, and detection of various ARGs were observed in the water and sediment samples collected 2 weeks post-Harvey. High levels of Bla and cytotoxicity measured by yeast bioluminescent assay (BLYR) were also observed especially near the river mouths. While Vibrio spp. was dominant in water, much higher abundance of fecal indicator bacteria and pathogen were detected in the sediments. A decreasing trend of Bla and cytotoxicity was observed in March 2018 samples, suggesting the Bay has returned to its pre-hurricane conditions 6 months post-Harvey. Interestingly, the abundance of fecal indicator bacteria and pathogens were shifted dramatically according to high-streamflow and low-streamflow seasons in the Bay. The data are useful to construct the model of risk assessment in coastal estuaries system and predict the effects of extreme flooding events in the future.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jhazmat.2020.124953 | DOI Listing |
Front Surg
August 2024
Steward Medical Group, Fort Lauderdale, FL, United States.
The incidence of vibriosis is rising globally with evidence of climate variability influencing environmental processes that support growth of pathogenic . The waterborne pathogen, can invade wounds and has one of the highest case fatality rates in humans. The bacterium cannot be eradicated from the aquatic environment, hence climate driven environmental conditions enhancing growth and dissemination of .
View Article and Find Full Text PDFEur J Vasc Endovasc Surg
August 2024
Department of Cardiology, Montefiore Medical Centre, Albert Einstein College of Medicine, New York, NY, USA; Department of Cardiology, Jacobi Medical Centre, Albert Einstein College of Medicine, New York, NY, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
Objective: Percutaneous deep venous arterialisation (pDVA) is a state of the art technique for treating patients with chronic limb threatening ischaemia (CLTI) with no conventional option for revascularisation. There are limited large scale data examining the clinical effectiveness of pDVA for patients with end stage CLTI.
Data Sources: MEDLINE, Embase, Google Scholar, and Cochrane databases.
Eur J Vasc Endovasc Surg
November 2024
Division of Cardiology, Montefiore Medical Centre, Albert Einstein College of Medicine, New York, NY, USA; Department of Cardiology, Jacobi Medical Centre, Albert Einstein College of Medicine, New York, NY, USA; Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Electronic address:
Objective: This systematic review and meta-analysis aimed to evaluate the safety and feasibility of transradial access for peripheral vascular interventions.
Data Sources: MEDLINE and Embase.
Review Methods: MEDLINE and Embase databases were searched to June 2023 to identify studies investigating the outcomes of lower extremity, carotid, and visceral artery vascular interventions via transradial vs.
Sci Data
June 2024
Pennsylvania State University, University Park, USA.
In 2022, Houston, TX became a nexus for field campaigns aiming to further our understanding of the feedbacks between convective clouds, aerosols and atmospheric boundary layer (ABL) properties. Houston's proximity to the Gulf of Mexico and Galveston Bay motivated the collection of spatially distributed observations to disentangle coastal and urban processes. This paper presents a value-added ABL dataset derived from observations collected by eight research teams over 46 days between 2 June - 18 September 2022.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!