Specific indicator invertebrates of urbanized habitats in tributary streams of the Luján River basin (Buenos Aires, Argentina)

The increase of urbanized areas produces disturbances in rivers and streams, and its widespread effects reduce water quality and threaten aquatic biota. The aim of this study was to analyze changes in the invertebrate communities of the Luján River basin (Buenos Aires Province, Argentina) in an urbanization gradient and to determine the specific indicator taxa of urbanized habitats. Nine sampling sites were selected in the Luján River basin, distributed along a land use gradient. At each sampling site physicochemical variables of water were recorded, and invertebrate samples were collected during four seasons. A Principal Component Analysis separated three groups of sites with different urbanization conditions: low (<15%), moderate (between 15% and 60%) and high urbanization (>60%). These groups showed differences in the concentration of dissolved oxygen, suspended particulate organic matter, and nitrates. The communities changed with urbanization conditions, with a simplification of the community composition and a decrease in richness towards the lower basin (moderate and high urbanization). The IndVal method found three indicator taxa for the low urbanization sites (Heleobia sp. (Cochliopidae), Uncancylus sp. (Ancylidae) and Callibaetis sp. (Baetidae)) and three for the moderate urbanization habitats (Nematoda, Hyalella curvispina (Hyalellidae) and Chironominae). These taxa were useful to identify different disturbance conditions due to urbanization, which makes them potential bioindicators in the diagnosis and monitoring of water quality in the Luján River basin.

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Quantifying the Information Content of a Water Quality Monitoring Network Using Principal Component Analysis: A Case Study of the Freiberger Mulde River Basin, Germany

Water ◽

10.3390/w12020420 ◽

2020 ◽

Vol 12 (2) ◽

pp. 420 ◽

Cited By ~ 1

Author(s):

Thuy Hoang Nguyen ◽

Björn Helm ◽

Hiroshan Hettiarachchi ◽

Serena Caucci ◽

Peter Krebs

Keyword(s):

Water Quality ◽

Principal Component Analysis ◽

River Basin ◽

Principal Component ◽

Water Quality Monitoring ◽

Component Analysis ◽

Quality Monitoring ◽

Critical Parameters ◽

Spatial And Temporal Variation ◽

Effectiveness Monitoring

Although river water quality monitoring (WQM) networks play an important role in water management, their effectiveness is rarely evaluated. This study aims to evaluate and optimize water quality variables and monitoring sites to explain the spatial and temporal variation of water quality in rivers, using principal component analysis (PCA). A complex water quality dataset from the Freiberger Mulde (FM) river basin in Saxony, Germany was analyzed that included 23 water quality (WQ) parameters monitored at 151 monitoring sites from 2006 to 2016. The subsequent results showed that the water quality of the FM river basin is mainly impacted by weathering processes, historical mining and industrial activities, agriculture, and municipal discharges. The monitoring of 14 critical parameters including boron, calcium, chloride, potassium, sulphate, total inorganic carbon, fluoride, arsenic, zinc, nickel, temperature, oxygen, total organic carbon, and manganese could explain 75.1% of water quality variability. Both sampling locations and time periods were observed, with the resulting mineral contents varying between locations and the organic and oxygen content differing depending on the time period that was monitored. The monitoring sites that were deemed particularly critical were located in the vicinity of the city of Freiberg; the results for the individual months of July and September were determined to be the most significant. In terms of cost-effectiveness, monitoring more parameters at fewer sites would be a more economical approach than the opposite practice. This study illustrates a simple yet reliable approach to support water managers in identifying the optimum monitoring strategies based on the existing monitoring data, when there is a need to reduce the monitoring costs.

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Water quality in equine production in Buenos Aires Province, Argentina

SN Applied Sciences ◽

10.1007/s42452-020-2263-9 ◽

2020 ◽

Vol 2 (3) ◽

Author(s):

Mariana M. Vaccaro ◽

Alejandra V. Volpedo ◽

Alberto García Liñeiro ◽

Alicia Fernñandez Cirelli

Keyword(s):

Water Quality ◽

Buenos Aires ◽

Buenos Aires Province

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Evaluation of bottled water quality by determining nitrate concentration

Journal of Water and Health ◽

10.2166/wh.2020.125 ◽

2020 ◽

Vol 18 (5) ◽

pp. 681-691

Author(s):

María Susana Fortunato ◽

Ana Julieta González ◽

María Florencia Tellechea ◽

Mariano Humberto Reynoso ◽

Favia Vallejos ◽

...

Keyword(s):

Water Quality ◽

Buenos Aires ◽

Nitrate Concentration ◽

Public Awareness ◽

Bottled Water ◽

Buenos Aires Province ◽

Water Access ◽

Limit Value ◽

Random Samples ◽

Consumption Habits

Abstract The presence of nitrate in sources of drinking water is a matter of concern because of its potential risk for human health. In many countries like Argentina, an increasing proportion of the population chooses to consume bottled water, among other reasons, for lack of water access. The present study was conducted (a) to evaluate the quality of bottled waters by determining nitrate concentration, (b) to relate bottled water quality with water access, (c) to analyze public awareness about bottled water quality and consumption habits of the population in the urban area of Buenos Aires. Two locations were selected, Ciudad Autónoma de Buenos Aires (C.A.B.A.) and Malvinas Argentinas in Buenos Aires Province (PBA), with percentages of water access of 99.6% and 8.8%, respectively. Random samples from both locations (n = 100) were analyzed. A survey was conducted in order to inquire about perception of population on bottled water quality and their consumption habits. In C.A.B.A., no sample exceeded the 45 mg/L limit value in force in Argentina, while in Malvinas Argentinas, 34% of the brands analyzed showed values above it. The survey revealed that 71.7% of people consume bottled water. While people in C.A.B.A. do so mainly out of habit, safety is the priority in PBA.

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Mycelial compatibility groups in Buenos Aires field populations of Sclerotinia sclerotiorum (Sclerotiniaceae)

Australian Journal of Botany ◽

10.1071/bt02097 ◽

2003 ◽

Vol 51 (4) ◽

pp. 421 ◽

Cited By ~ 24

Author(s):

Sandra B. Durman ◽

Ana B. Menéndez ◽

Alicia M. Godeas

Keyword(s):

Sclerotinia Sclerotiorum ◽

Buenos Aires ◽

Diversity Index ◽

Morphological Characteristics ◽

Principal Component ◽

Dry Weight ◽

Buenos Aires Province ◽

Similar Frequency ◽

Mycelial Compatibility ◽

Total Diversity

One-hundred and forty isolates of Sclerotinia sclerotiorum (Lib.) DeBary were obtained in a 6500-km2 area of the Buenos Aires Province. These isolates were collected from soybean (60 isolates), lettuce (59 isolates) and sunflower (21 isolates) fields. Fifty different mycelial compatibility groups (MCGs) were distinguished overall, 27 of which consisted of two or more isolates. Populations of S. sclerotiorum were made up by numerous MCGs and shared a similar frequency profile regardless the locality or the date of sampling. MCG occurrences differed among the crops, only two MCGs were shared by the three crops and approximately 60% of the MCGs were unique for each crop. The Shannon diversity index (Ho) of MCG for the whole region was 0.314 (Htot). Partition of total diversity (Htot) showed that 98.4% corresponded to variations of diversity within populations. Morphological characteristics were not significantly different among MCGs, except for the dry weight per sclerotium. On the basis of the detached celery petiole assay, there were no differences in aggressiveness between MCGs either. However, isolates collected from sunflower plants were more aggressive than those collected from soybean, regardless the MCG they belonged. Aggressiveness was positively correlated to colony radial growth. After principal component analyses (PCA) were performed, it could be identified a main central group of isolates and two other smaller groups. Main contributors to the total variance were the percentages of large sclerotia, the dry weight per sclerotium and the percentages of medium and small sclerotia.

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A multivariate analysis of water quality in Lake Naivasha, Kenya

Marine and Freshwater Research ◽

10.1071/mf14031 ◽

2015 ◽

Vol 66 (2) ◽

pp. 177 ◽

Cited By ~ 11

Author(s):

Jane Ndungu ◽

Denie C. M. Augustijn ◽

Suzanne J. M. H. Hulscher ◽

Bernard Fulanda ◽

Nzula Kitaka ◽

...

Keyword(s):

Water Quality ◽

Principal Component Analysis ◽

Close Association ◽

Sampling Site ◽

Principal Component ◽

Component Analysis ◽

Northern Region ◽

Lake Naivasha ◽

Water Quality Status ◽

Quality Status

Water quality information in aquatic ecosystems is crucial in setting up guidelines for resource management. This study explores the water quality status and pollution sources in Lake Naivasha, Kenya. Analysis of water quality parameters at seven sampling sites was carried out from water samples collected weekly from January to June and biweekly from July to November in 2011. Principal component analysis (PCA) and cluster analysis (CA) were used to analyse the dataset. Principal component analysis showed that four principal components (PCA-1 to PCA-4) explained 94.2% of the water quality variability. PCA-1 and PCA-2 bi-plot suggested that turbidity in the lake correlated directly to nutrients and iron with close association with the sampling site close to the mouth of Malewa River. Three distinct clusters were discerned from the CA analysis: Crescent Lake, a more or less isolated crater lake, the northern region of the lake, and the main lake. The pollution threat in Lake Naivasha includes agricultural and domestic sources. This study provides a valuable dataset on the current water quality status of Lake Naivasha, which is useful for formulating effective management strategies to safeguard ecosystem services and secure the livelihoods of the riparian communities around Lake Naivasha, Kenya.

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Horticulture affects macroinvertebrate assemblages in adjacent streams (Buenos Aires, Argentina)

Knowledge and Management of Aquatic Ecosystems ◽

10.1051/kmae/2019048 ◽

2020 ◽

pp. 5 ◽

Cited By ~ 1

Author(s):

Marina Arias ◽

Ana Scalise ◽

Marina Solis ◽

Ariel Paracampo ◽

Mercedes Indaco ◽

...

Keyword(s):

Water Quality ◽

Buenos Aires ◽

Biosphere Reserve ◽

Nutrient Concentrations ◽

Buenos Aires Province ◽

Macroinvertebrate Assemblages ◽

Taxa Richness ◽

Higher Taxa ◽

High Nutrient ◽

Pampean Streams

The agrochemicals used on crops can reach watercourses, affecting water quality and biologic communities. The aim of this research was to study the effects of horticulture on the water quality and invertebrate assemblages of adjacent streams in Buenos Aires province, Argentina. Four streams draining horticultural basins were compared with another four considered less disturbed: two of the latter located in a Biosphere Reserve and the other two in extensive livestock-raising basins. Pesticides were detected in the horticulture-related streams, while nutrient concentrations were significantly higher than in the less-disturbed streams. The macroinvertebrate assemblages differed: the less-disturbed streams exhibited a significantly higher taxa richness and density. Hyalella sp. and Simocephalus vetulus were dominant, whereas Entomobryoidea, Dugessidae, and Glossiphoniidae were dominant in the horticulture-associated streams. Ephemeroptera (Caenis and Baetidae) were well represented in the less-disturbed streams and rare or absent in the horticulture-adjacent streams. Multivariate analysis indicated that the horticulture-impacted sites contained high nutrient concentrations and tolerant taxa, while the less-disturbed sites corresponded to lower nutrient concentrations and sensitive taxa. We propose Hyalella sp. and S. vetulus as water-quality indicators in pampean streams and conclude that intensive agrochemical applications in horticulture increase nutrient and pesticide loads affecting the macroinvertebrate assemblages of adjacent streams.

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Stratigraphy of the fluvial deposits of the Salado river basin, Buenos Aires Province: Lithology, chronology and paleoclimate

Journal of South American Earth Sciences ◽

10.1016/j.jsames.2015.03.007 ◽

2015 ◽

Vol 60 ◽

pp. 129-139 ◽

Cited By ~ 6

Author(s):

E. Fucks ◽

M.F. Pisano ◽

R.A. Huarte ◽

C.V. Di Lello ◽

F. Mari ◽

...

Keyword(s):

River Basin ◽

Buenos Aires ◽

Buenos Aires Province ◽

Fluvial Deposits ◽

Salado River

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Use of PCA-RBF model for prediction of chlorophyll-a in Yuqiao Reservoir in the Haihe River Basin, China

Water Science & Technology Water Supply ◽

10.2166/ws.2013.175 ◽

2013 ◽

Vol 14 (1) ◽

pp. 73-80 ◽

Cited By ~ 5

Author(s):

Liu Xiaobo ◽

Dong Fei ◽

He Guojian ◽

Liu Jingling

Keyword(s):

Water Quality ◽

Principal Component Analysis ◽

Chlorophyll A ◽

River Basin ◽

Forecast Error ◽

Principal Component ◽

Haihe River Basin ◽

Haihe River ◽

Yuqiao Reservoir ◽

The Haihe River Basin

Chlorophyll-a is a well-accepted index for phytoplankton abundance and population of primary producers in an aquatic environment. The relationships between chlorophyll-a and 18 chemical, physical and biological water quality variables in YuQiao Reservoir (YQR) in the Haihe River Basin in P.R. China were studied by using principal component analysis (PCA) coupled with a radial basis function network (RBF) model to predict chlorophyll-a levels. Principal component analysis was used to simplify the complexity of relations between water quality variables. Score values obtained by PC scores were used as independent variables in the RBF models. In the forecast, only five selected score values obtained by PC analysis were used for the prediction of chlorophyll-a levels. Correlative analysis between the modeled results and observed data indicates that the correlative coefficient is 0.61, and analysis of the forecast error rate shows that the average forecast error is 32.9%, proving the viability of the forecast model.

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