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1.
J Water Health ; 11(2): 346-57, 2013 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-23708581

RESUMEN

Previous presence/absence studies have indicated a correlation between the presence of the pathogenic amoeba Naegleria fowleri and the presence of bacteria, such as the fecal indicator Escherichia coli, in environmental surface waters. The objective of this study was to use quantitative real-time polymerase chain reaction (qPCR) methodologies to measure N. fowleri and E. coli concentrations within a Texas reservoir in late summer, and to determine if concentrations of N. fowleri and E. coli were statistically correlated. N. fowleri was detected in water samples from 67% of the reservoir sites tested, with concentrations ranging up to an estimated 26 CE (cell equivalents)/100 mL. E. coli was detected in water samples from 60% of the reservoir sites tested, with concentrations ranging up to 427 CE/100 mL. In this study, E. coli concentrations were not indicative of N. fowleri concentrations.


Asunto(s)
Escherichia coli/aislamiento & purificación , Naegleria fowleri/aislamiento & purificación , Microbiología del Agua , Abastecimiento de Agua , Agua/parasitología , Animales , ADN Bacteriano/genética , ADN Bacteriano/aislamiento & purificación , ADN Protozoario/genética , ADN Protozoario/metabolismo , Reacción en Cadena de la Polimerasa , Texas
2.
J Environ Sci (China) ; 25(2): 268-73, 2013 Feb 01.
Artículo en Inglés | MEDLINE | ID: mdl-23596945

RESUMEN

Water quality impact due to excessive nutrients has been extensively studied. In recent years, however, micro-pollutants such as pharmaceuticals and hormonal products used in animal agriculture have added an additional impact to overall water quality. Pharmaceuticals used in the poultry, swine, beef, and dairy industries have been detected in various environmental matrices such as, soil, groundwater and surface water. In this study, 26 surface water samples were collected throughout the Bosque River Watershed (BRW) with samples representing a range of land use conditions and locations of major dairy operations. Samples were analyzed using commercially available Enzyme-Linked Immunosorbent Assay test. Of the 26 samples, three samples consistently tested positive for monensin antibiotic with concentration ranging from 0.30 to 3.41 microg/L. These three samples were collected from sites that received varying amount of agriculture wastes (11.7% to 31.3%) and located downstream from sites associated with moderate levels of animal agriculture. The preliminary results suggest that there is a potential for monensin occurrence in the BRW, although initial findings indicate only very low levels.


Asunto(s)
Monensina/análisis , Ríos/química , Contaminantes Químicos del Agua/análisis , Antibacterianos/análisis , Ensayo de Inmunoadsorción Enzimática , Agua Subterránea/análisis
3.
J Environ Qual ; 39(2): 548-57, 2010.
Artículo en Inglés | MEDLINE | ID: mdl-20176828

RESUMEN

Understanding internal stream P transfers is important in controlling eutrophication. To determine the direction of groundwater and surface water interactions and evaluate P retention within streambank sediments, groundwater well pairs, about 5-m deep, were installed at three locations along a second-order, eutrophic stream in north-central Texas. Well cores were analyzed for P, and groundwater levels were monitored for about 2 yr. Water levels in wells furthest upstream always indicated a losing stream, while wells further downstream showed a gaining stream except during flow reversals with storm events and periods with reservoir backwater. Total-P from well cores ranged from 54 to 254 mg kg(-1) and was typically high near surface, decreased downward until redoximorphic features were encountered and then increased notably with depth to near or above surface concentrations. Very little extractable P occurred in sediments from the two upstream well sets; however, the set furthest downstream showed extractable P throughout with a high of 21 mg kg(-1) near the bottom. Repeated wetting-drying at sites A and B as noted by redoximorphic features may have shifted P into more stable sediment-bound forms. The decrease in extractable P at sites A and B compared to site C may be explained by conditions at C that were wetter and potentially anaerobic. Because the overall stream reach was more often losing than gaining, there appears to be a mass flow of P into streambank sediments. Streambank erosion may then transport this P downstream if not controlled.


Asunto(s)
Sedimentos Geológicos/análisis , Fenómenos Geológicos , Fósforo/análisis , Ríos/química , Agua/análisis , Fósforo/química , Texas
4.
J Environ Qual ; 48(2): 510-517, 2019 Mar.
Artículo en Inglés | MEDLINE | ID: mdl-30951133

RESUMEN

Computer models are commonly used for predicting risks of runoff P loss from agricultural fields by enabling simulation of various management practices and climatic scenarios. For P loss models to be useful tools, however, they must accurately predict P loss for a wide range of climatic, physiographic, and land management conditions. A complicating factor in developing and evaluating P loss models is the relative scarcity of available measured field data that adequately capture P losses before and after implementing management practices in a variety of physiographic settings. Here, we describe the development of the P Loss in runoff Events from Agricultural fields Database (PLEAD)-a compilation of event-based, field-scale dissolved and/or total P loss runoff loadings from agricultural fields collected at various research sites located in the US Heartland and southern United States. The database also includes runoff and erosion rates; soil-test P; tillage practices; planting and harvesting rates and practices; fertilizer application rate, method, and timing; manure application rate, method, and timing; and livestock grazing density and timing. In total, >1800 individual runoff events-ranging in duration from 0.4 to 97 h-have been included in the database. Event runoff P losses ranged from <0.05 to 1.3 and 3.0 kg P ha for dissolved and total P, respectively. The data contained in this database have been used in multiple research studies to address important modeling questions relevant to P management planning. We provide these data to encourage additional studies by other researchers. The PLEAD database is available at .


Asunto(s)
Agricultura , Monitoreo del Ambiente/métodos , Contaminación Difusa/estadística & datos numéricos , Fósforo/análisis , Contaminantes Químicos del Agua/análisis , Fertilizantes , Contaminación Difusa/análisis , Contaminación Difusa/prevención & control
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