Searching variables to assess recreational water quality: the presence of infectious human enterovirus and its correlation with the main variables of water pollution by multivariate statistical approach in Córdoba, Argentina.

Autor: Aguirre, Belquis Pamela, Masachessi, Gisela, Ferreyra, Leonardo Jesús, Biganzoli, Patricia, Grumelli, Yanina, Panero, Mariangeles Diaz, Wassaf, Maribel Martinez, Pisano, María Belén, Welter, Adriana, Mangeaud, Arnaldo, Ré, Viviana, Nates, Silvia Viviana, Pavan, Jorge Victorio
Předmět:
Zdroj: Environmental Science & Pollution Research; Mar2019, Vol. 26 Issue 7, p6586-6601, 16p
Abstrakt: Surface waters are used by local populations for different purposes, such as recreational activities, water source for human and animal consumption, and irrigation among others, which lead to the need for management strategies on water health and associated risks. During this study, we investigated physicochemical parameters, fecal coliform bacteria, and infectious human enterovirus detection to determine the water quality in different beaches (categorized as an urban area, non-urban areas, and an intermediate position) from San Roque Dam, in Argentina. Multivariate techniques were applied. Principal component analysis allowed identification of subgroup of variables responsible for the water quality. A cluster analysis and multivariate analysis of variance showed the urban beach as the highest pollution area. The following variables (measured at the urban beach) would be enough to describe the quality of the aquatic body: nitrites, fecal coliforms, total phosphorous, and infectious human enterovirus. The infectious human enterovirus was an independent variable detected in 69.1% of the samples showing a steady frequency of detection during the whole period studied and could identify human fecal contaminations as a source of water pollution. The selected variables would contribute to water quality regarding the risk for human health using San Roque dam waters for recreational propose. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index