INVESTIGADORES
PERILLO Gerardo Miguel E.
artículos
Título:
Water quality analysis based on phytoplankton and metal indices: A case study in the Sauce Grande River Basin (Argentina).
Autor/es:
ZUNINO, J.; LACOLLA, N.; BRENDEL, A.S.; ALFONSO, M.B.; BOTTÉ, S.E.; PERILLO, G.M.E.; PICCOLO, M.C.
Revista:
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
Editorial:
SPRINGER HEIDELBERG
Referencias:
Lugar: HEIDELBERG; Año: 2022
ISSN:
0944-1344
Resumen:
The increasing landscape alterations due to anthropogenic activities is of global concern since it affects aquatic ecosystems,often resulting in compromise of the ecological integrity and the water quality. In this sense, the evaluation, monitoring, andprediction of the aquatic ecosystem quality becomes an important research subject. This study presents the first integratedwater quality assessment of the Sauce Grande River Basin, in Argentina, based on the spatial distribution of the phytoplanktoncommunity, the physicochemical parameters, and the metal concentrations (Cd, Cu, Cr, Fe, Mn, Ni, Pb, and Zn) found in theparticulate fraction. According to the trophic indices and the phytoplankton abundance, composition, and diversity, the waterquality showed significant deterioration in the lower basin after the Sauce Grande lake. The trophic state index indicatedthat water was oligotrophic in over 75% of the sampling sites, increasing downstream, where two sites were characterizedas mesotrophic, and one described as hypertrophic. The phytoplankton community was dominated by diatoms in zones withlow anthropogenic impact and conductivity, whereas high densities of Euglenophyta, Chlorophyta, and Cyanobacteria werefound in the middle-lower basin, associated with higher organic matter and eutrophication. The conductivity, turbidity, andmost metal concentrations also increased towards the downstream area, even exceeding recommended levels for the metalsCu, Cr, Mn, and Pb in the middle and lower reaches of the basin (Cu: 3.5 μg L−1; Cr: 2.4 μg L−1; Pb: 1.2 μg L−1; Mn 170 μgL−1). This study generates a database for the water quality of the Sauce Grande River Basin and sets an example of how thewater quality varies along a basin that crosses different topographic environments, land covers, and anthropogenic influences.