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Fecal indicators, pathogens, antibiotic resistance genes, and ecotoxicity in Galveston Bay after Hurricane Harvey.
Yang, Shih-Hung; Chen, Chih-Hung; Chu, Kung-Hui.
Affiliation
  • Yang SH; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA.
  • Chen CH; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA; Department of Environmental Engineering, National Cheng Kung University, Tainan 70101, Taiwan ROC.
  • Chu KH; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX 77843, USA. Electronic address: kchu@civil.tamu.edu.
J Hazard Mater ; 411: 124953, 2021 06 05.
Article de En | MEDLINE | ID: mdl-33445049
ABSTRACT
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 BlaTEM 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 BlaTEM 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.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tempêtes cycloniques Type d'étude: Prognostic_studies / Risk_factors_studies Pays/Région comme sujet: America do norte Langue: En Journal: J Hazard Mater Sujet du journal: SAUDE AMBIENTAL Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Tempêtes cycloniques Type d'étude: Prognostic_studies / Risk_factors_studies Pays/Région comme sujet: America do norte Langue: En Journal: J Hazard Mater Sujet du journal: SAUDE AMBIENTAL Année: 2021 Type de document: Article Pays d'affiliation: États-Unis d'Amérique