Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Environ Sci Technol ; 47(12): 6146-54, 2013 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-23675635

RESUMO

A beach nourishment with approximately 1/3 fine-grained sediment (fines; particle diameter <63 µm) by mass was performed at Southern California's Border Fields State Park (BFSP). The nourishment was found to briefly (<1 day) increase concentrations of surf-zone fecal indicator bacteria (FIB) above single-sample public health standards [104 most probable number (MPN)·(100 mL)(-1)] but had no effect on phytoplankton. Contamination was constrained to the nourishment site: waters 300 m north or south of the nourishment were always below single-sample and geometric mean [≤ 35 MPN · (100 mL)(-1)] standards. Nourishment fines were identified as a source of the fecal indicator Enterococcus ; correlations between fines and enterococci were significant (p < 0.01), and generalized linear model analysis identified fines as the single best predictor of enterococci. Microcosm experiments and field sampling suggest that the short surf-zone residence times observed for enterococci (e-folding time 4 h) resulted from both rapid, postplacement FIB inactivation and mixing/transport by waves and alongshore currents. Nourishment fines were phosphate-rich/nitrogen-poor and were not correlated with surf-zone phytoplankton concentrations, which may have been nitrogen-limited.


Assuntos
Fitoplâncton/isolamento & purificação , Microbiologia da Água , Qualidade da Água , Praias , California , Enterococcus/isolamento & purificação
2.
Mar Pollut Bull ; 66(1-2): 151-7, 2013 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-23174305

RESUMO

We present results from a 5-h field program (HB06) that took place at California's Huntington State Beach. We assessed the importance of physical dynamics in controlling fecal indicator bacteria (FIB) concentrations during HB06 using an individual based model including alongshore advection and cross-shore variable horizontal diffusion. The model was parameterized with physical (waves and currents) and bacterial (Escherichia coli and Enterococcus) observations made during HB06. The model captured surfzone FIB dynamics well (average surfzone model skill: 0.84 {E. coli} and 0.52 {Enterococcus}), but fell short of capturing offshore FIB dynamics. Our analyses support the hypothesis that surfzone FIB variability during HB06 was a consequence of southward advection and diffusion of a patch of FIB originating north of the study area. Offshore FIB may have originated from a different, southern, source. Mortality may account for some of the offshore variability not explained by the physical model.


Assuntos
Bactérias/crescimento & desenvolvimento , Monitoramento Ambiental/métodos , Fezes/microbiologia , Água do Mar/microbiologia , Microbiologia da Água , Poluição da Água/análise , Bactérias/isolamento & purificação , California , Enterococcus/crescimento & desenvolvimento , Escherichia coli/crescimento & desenvolvimento , Humanos , Movimentos da Água , Poluição da Água/estatística & dados numéricos
3.
Mar Pollut Bull ; 66(1-2): 191-8, 2013 Jan 15.
Artigo em Inglês | MEDLINE | ID: mdl-23177240

RESUMO

A suite of physical-biological models was used to explore the importance of mortality and fluid dynamics in controlling concentrations of fecal indicator bacteria (FIB) at Huntington Beach, CA. An advection-diffusion (AD) model provided a baseline to assess improvements in model skill with the inclusion of mortality. Six forms of mortality were modeled. All mortality models performed better than the AD model, especially at offshore sampling stations, where model skill increased from <0.18 to >0.50 (Escherichia coli) or <-0.14 to >0.30 (Enterococcus). Models including cross-shore variable mortality rates reproduced FIB decay accurately (p<0.05) at more stations than models without. This finding is consistent with analyses that revealed cross-shore variability in Enterococcus species composition and solar dose response. No best model was identified for Enterococcus, as all models including cross-shore variable mortality performed similarly. The best model for E. coli included solar-dependent and cross-shore variable mortality.


Assuntos
Bactérias/crescimento & desenvolvimento , Fezes/microbiologia , Água do Mar/microbiologia , Microbiologia da Água , Poluição da Água/estatística & dados numéricos , Bactérias/isolamento & purificação , Enterococcus/crescimento & desenvolvimento , Enterococcus/isolamento & purificação , Monitoramento Ambiental , Escherichia coli/crescimento & desenvolvimento , Escherichia coli/isolamento & purificação
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...