Water quality analysis based on phytoplankton and metal indices: a case study in the Sauce Grande River Basin (Argentina)

被引:0
作者
Josefina Zunino
Noelia S. La Colla
Andrea S. Brendel
Maria B. Alfonso
Sandra E. Botté
Gerardo M. E. Perillo
Maria C. Piccolo
机构
[1] Consejo Nacional de Investigaciones Científicas Y Técnicas (CONICET),Departamento de Agronomía
[2] Instituto Argentino de Oceanografía (IADO-CONICET-UNS),Departamento de Biología, Bioquímica y Farmacia
[3] Universidad Nacional del Sur,Departamento de Geología
[4] Universidad Nacional del Sur,Departamento de Geografía Y Turismo
[5] Universidad Nacional del Sur,undefined
[6] Universidad Nacional del Sur,undefined
来源
Environmental Science and Pollution Research | 2022年 / 29卷
关键词
Anthropogenic uses; Chlorophyll ; Biological biomarker; Pollution; Trophic condition; Freshwater;
D O I
暂无
中图分类号
学科分类号
摘要
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, and prediction of the aquatic ecosystem quality becomes an important research subject. This study presents the first integrated water quality assessment of the Sauce Grande River Basin, in Argentina, based on the spatial distribution of the phytoplankton community, the physicochemical parameters, and the metal concentrations (Cd, Cu, Cr, Fe, Mn, Ni, Pb, and Zn) found in the particulate fraction. According to the trophic indices and the phytoplankton abundance, composition, and diversity, the water quality showed significant deterioration in the lower basin after the Sauce Grande lake. The trophic state index indicated that water was oligotrophic in over 75% of the sampling sites, increasing downstream, where two sites were characterized as mesotrophic, and one described as hypertrophic. The phytoplankton community was dominated by diatoms in zones with low anthropogenic impact and conductivity, whereas high densities of Euglenophyta, Chlorophyta, and Cyanobacteria were found in the middle-lower basin, associated with higher organic matter and eutrophication. The conductivity, turbidity, and most metal concentrations also increased towards the downstream area, even exceeding recommended levels for the metals Cu, 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 µg L−1). This study generates a database for the water quality of the Sauce Grande River Basin and sets an example of how the water quality varies along a basin that crosses different topographic environments, land covers, and anthropogenic influences.
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页码:79053 / 79066
页数:13
相关论文
共 244 条
[1]  
Abdul-Aziz OI(2019)Evaluating the emergent controls of stream water quality with similitude and dimensionless numbers J Hydrol Eng 24 04019010-1247
[2]  
Ahmed S(2018)Drivers of ecosystem metabolism in two managed shallow lakes with different salinity and trophic conditions: The Sauce Grande and La Salada lakes (Argentina) Water 10 1136-56
[3]  
Alfonso MB(2017)Regionalization of climate over the Argentine Pampas Int J Climatol 37 1237-914
[4]  
Brendel AS(2020)Quantifying climate, streamflow, and watershed control on water quality across Southeastern US watersheds Sci Total Environ 739 139945-486
[5]  
Vitale AJ(2009)Dissolved and particulate heavy metals distribution in coastal lagoons. A case study from Mar Chiquita Lagoon, Argentina Estuar Coast Shelf Sci 85 45-24
[6]  
Seitz C(2018)Anthropogenic contribution and influencing factors on metal features in fluvial sediments from a semi-arid Mediterranean river basin (Tafna River, Algeria): A multi-indices approach Sci Total Environ 626 899-369
[7]  
Piccolo MC(2007)A new evaluation technique of potamo–plankton for the assessment of the ecological status of riversArch Für Hidrobiologie Large Rivers 17 465-2446
[8]  
Perillo GME(2019)Assessment of the effectiveness of supervised and unsupervised methods: maximizing land-cover classification accuracy with spectral indices data J Appl Remote Sens 13 014503-101
[9]  
Aliaga VS(2004)The use of phytoplankton as indicators of water quality Norwegian Institute for Water Research SNO Report 4818 33-102
[10]  
Ferrelli F(2014)Phytoplankton community indicators of changes associated with dredging in the Tagus estuary (Portugal) Environ Pollut 191 17-91