Institute Hidrologia Of Llanuras

Azul, Argentina

Institute Hidrologia Of Llanuras

Azul, Argentina
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Dietrich S.,CONICET | Torres E.,Institute Diagnostico Ambiental Y Estudios del Agua | Ayora Ibanez C.,Institute Diagnostico Ambiental Y Estudios del Agua | Weinzettel P.A.,Institute Hidrologia Of Llanuras
One Century of the Discovery of Arsenicosis in Latin America (1914-2014): As 2014 - Proceedings of the 5th International Congress on Arsenic in the Environment | Year: 2014

This work presents the results of laboratory experiments carried out on unsaturated zone samples obtained from the Azul creek basin, Buenos Aires province, Argentina. The objective of the experiments was to determine the arsenic (As) distribution in the different mineral phases along the soil profile. Lixiviation experiments were performed to detect those zones with higher As concentration in the solids. Then, a sequential extraction procedure was accomplished to determine the retention of As in the different mineral phases of the sediments. The lixiviation experiments showed a more As-enriched upper part of the soil profile and that As concentration decreased with depth. The sequential extraction procedure revealed that zones with higher As concentration are related to desorption from Fe(III) oxide and hydroxides. © 2014 Taylor & Francis Group.


Niclos R.,University of Valencia | Rivas R.,Institute Hidrologia Of Llanuras | Garcia-Santos V.,University of Valencia | Dona C.,University of Valencia | And 9 more authors.
IEEE Transactions on Geoscience and Remote Sensing | Year: 2016

A field campaign was carried out to evaluate the Soil Moisture (SM) MIR-SMUDP2 product (v5.51) generated from the data of the Microwave Imaging Radiometer using Aperture Synthesis (MIRAS) aboard the Soil Moisture and Ocean Salinity (SMOS) mission. The study area was the Pampean Region of Argentina, which was selected because it is a vast area of flatlands containing quite homogeneous rain-fed croplands, which are considered SMOS nominal land uses and hardly affected by radio-frequency interference contamination. Transects of ground handheld SM measurements were performed using ThetaProbe ML2x probes within four Icosahedral Snyder Equal Area Earth (ISEA) grid nodes, where permanent SM stations are located. The campaign results showed a negative bias of-0.02 m3m-3 between concurrent SMOS data and ground SM measurements, which means a slight SMOS underestimation, and a standard deviation of ±0.06 m3m-3. Additionally, a good correlation was obtained between the handheld SM measurements taken during the campaign and the permanent SM station data within a node, which pointed out that the station data could be used as reference data to evaluate the SMOS product over a longer temporal period. SMOS-retrieved data were also compared with station mean SM values from 2012 to 2014. A general SMOS underestimation of ± -0.05m3m-3 was observed, with a standard deviation of ± 0.04m3m-3, which yields an uncertainty of ± 0.07m3m-3 for the SMOS product. Although the random error meets the SMOS mission's goal of ± 0.04m3m-3, the product overall uncertainty is higher than that due to the significant dry bias, which is also found in other regions of the world. © 2015 IEEE.


Othax N.,Institute Hidrologia Of Llanuras | Peluso F.,Institute Hidrologia Of Llanuras | Castelain J.G.,Institute Hidrologia Of Llanuras | Rodriguez L.,Institute Hidrologia Of Llanuras | Dubny S.,Institute Hidrologia Of Llanuras
Acta Bioquimica Clinica Latinoamericana | Year: 2013

The objective of this work was to analyze the non-carcinogenic health risk from certain substances (inorganic, phenolic, heavy metals and pesticides) in surface waters and groundwater in the town of Tres Arroyos. The analysis was performed using the basic model of health risk analysis considering probabilistic USEPA for children of three age groups (5, 10 and 15). Residential and recreational type scenarios were integrated, based on exposure through ingestion and dermal contact with water. In all three age strata, the results indicate that the values of the integrated risk (residential risk + recreational risk) were significant and decreasing with respect to age, being arsenic the largest contributor through the residential ingestion pathway.


Varni M.R.,Institute Hidrologia Of Llanuras | Varni M.R.,National University of Central Buenos Aires | Entraigas I.,Institute Hidrologia Of Llanuras | Entraigas I.,National University of Central Buenos Aires | And 3 more authors.
Water and Environment Journal | Year: 2013

A method for computing flooded areas in relation to precedent climatic conditions in a plain area is evaluated. The studied area includes the most important production area for cattle breeding in Argentina; therefore, waterlogging periods create significant economic losses. In order to conduct this study, Landsat images that represent different hydrological conditions were used. The method is based on the frequency analysis of rainfall records of the 30, 60 and 120 days prior each image, thus obtaining a seasonally weighted mean frequency. In order to minimize biases of individual images, the images were combined linearly so as to obtain composed images with the desired antecedent precipitation frequency. Then, the flooded areas were associated with the frequency of the antecedent rainfall. Therefore, frequencies equal to or higher than 50% are associated with semi-permanent or permanent lentic waterbodies. Consequently, lower frequencies are associated with waterlogged areas reaching 35% of flooded area for a 20% precipitation frequency. © 2012 CIWEM.


Guadalupe Ares M.,Institute Hidrologia Of Llanuras | Guadalupe Ares M.,CONICET | Varni M.,Institute Hidrologia Of Llanuras | Chagas C.,University of Buenos Aires | Entraigas I.,Institute Hidrologia Of Llanuras
Agrociencia | Year: 2012

In the mountainous area of Buenos Aires, Argentina, an increase in precipitation and in cultivated area has contributed to generating excessive runoff that has had severe impact on the region and on soil water erosion. The rain-runoff ratio in this region can help estimate the effects of floods. The local values of the runoff curve number (N) were calculated for the basin of the Arroyo Videla (Buenos Aires, Argentina), and its relationship to rainfall events was studied parting from daily rain data and runoff volumes. Values of 51 to 99 were obtained, and the most frequent were between 60 and 90. The relationship between N and precipitation exhibited a standard pattern that allowed adjusting an asymptotic value of 57. Rains less than 15 mm were associated with N between 85 and 90, while rains between 15 and 85 mm were related to N of 60 to 85. There was concordance between intermediate observed N and tabulated values of this parameter associated with each plant cover. This highlights the importance of obtaining local values of the studied variable to appropriately implement the method in basins of 100 km2.

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