New Records of Pathogenic Bacteria from Urban Rivers in Argentina

Kuczynski, David

doi:10.11594/jtls.06.03.03

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…In general, in the present study, physical, chemical and microbiological parameters, proved to be within the range of those found in other urban streams of the area with similar characteristics (Salibian, 2006;Feijoó and Lombardo, 2007;Elordi, 2016;Kuczynski, 2016; ACUMAR, 2017; cf. Table 2).…”

Section: Resultssupporting

confidence: 88%

“…In general, in all the cluster analysis, the SSs corresponding to the upper subbasin grouped together more consistently, which result could be related to the sole influence of rural land use on those SSs; whereas the SSs of the middle and lower subbasins received the impact of the further forms of land use characteristic of each of the two sectors in addition to those developed upstream. In contrast, the middle subbasin in all the analysis exhibited less consistency in the grouping of the SSs, which pattern could be attributed to the wide variety of pollutants generated in a sector with both urban and industrial land use (Islam et al, 2015;ACUMAR, 2017;Kuczynski, 2016). Similarly, Volaufova and Langhammer (2007) studied the water and sediment quality associated with organic substances and heavy metals in the Klabava-River basin of the Czech Republic and reported that the sectors of lower quality were associated with urban and industrial land use.…”

Section: Multifactorial Analysis As a Diagnostic Tool For The Environmentioning

confidence: 98%

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Multidisciplinary approach to a study of water and bottom sediment quality of streams associated with mixed land uses: Case study Del Gato Stream, La Plata (Argentina)

Rimoldi

Peluso

Rossini

et al. 2018

Ecological Indicators

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Surface water bodies receive a basin's wide diversity of pollutants, especially when there are mixed land uses. Among the many environmental tools to assess a body water quality, most studies use only a few. In addition these studies, usually, are focused only on a set of pollutants and an environmental matrix. The Del Gato Stream a surface watercourse within of more populated area of Argentinaexemplifies the typically contrasting land uses around this area's streams. The predominant land uses along of the stream are agricultural in the upper, urban and industrial the middle, and animal husbandry in the lower subbasin. The aim of this study was to use a multidisciplinary approach to evaluate the environmental quality of that stream as a model of surface-water bodies within mixed-land-use regions in the Buenos-Aires metropolitan area. At each of the sampling sitesdistributed along the stream as follows: 3 in the upper, 4 in the middle, 3 in the lower subbasingeneral water parameters were measured; water and sediment samples taken for physical, chemical, microbiological, and ecotoxicological analysis; and the variables in each environmental matrix, analyzed separately and jointly. The stream presented a significant general deterioration, the middle subbasin with urban-industrial land use being the most impacted, where metals and metalloids recorded highest levels, and the rest of the measured parameters were also found at high levels. The upper subbasin had the highest quality, and the lower subbasin proved poor quality regarding microbiological variables, nutrients, and general water parameters. The tests included in the toxicity battery did not reflect a common pattern of toxicity along the watercourse. However, when they were integrated in the EDAR index, the middle subbasin was the most affected sector of the stream. Although, the usefulness of each analysis tool must be evaluated taking into account the objective of the study, if the aim is to know the general environmental quality of a stream, the multiple-factor analysis proved to be the most effective means in complex systems under the influence of great diversity of pollution sources. This study provides relevant information about the ecological quality of a stream representative of a region with scarce environmental information.

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Section: Resultssupporting

confidence: 88%

Section: Multifactorial Analysis As a Diagnostic Tool For The Environmentioning

confidence: 98%