Assessment of toxicity and mutagenicity in air particulate matter from an urban industrial area in the coast of the Rio de la Plata

2001 ◽  
Vol 16 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Andrea Müller ◽  
Pablo Alzuet ◽  
Olf Herbarth ◽  
Alicia Ronco
Keyword(s):  
Particulate Matter ◽  
Industrial Area ◽  
Rio De La Plata ◽  
Río De La Plata ◽  
Air Particulate Matter ◽  
La Plata ◽  
Air Particulate

scholarly journals An empirical remote sensing algorithm for retrieving total suspended matter in a large estuarine region

2019 ◽  
Vol 83 (1) ◽  
pp. 53
Author(s):  
Martina D. Camiolo ◽  
Ezequiel Cozzolino ◽  
Ana I. Dogliotti ◽  
Claudia G. Simionato ◽  
Carlos A. Lasta
Keyword(s):  
Particulate Matter ◽  
Suspended Particulate Matter ◽  
Pearson Correlation ◽  
Biological Study ◽  
Spatial And Temporal Variability ◽  
Rio De La Plata ◽  
Río De La Plata ◽  
La Plata ◽  
Suspended Particulate ◽  
Southwestern Atlantic Ocean

The Río de la Plata is a large, shallow estuary located at approximately 35°S and flowing into the southwestern Atlantic Ocean. It carries a high amount of nutrients and suspended particulate matter, both organic and inorganic, to the adjacent shelf waters and is considered among the most turbid estuarine systems in the world. Knowledge of the concentration and spatial and temporal variability of these materials is critical for any biological study in the Río de la Plata. In this work, the relationship between suspended particulate matter and turbidity is empirically established in order to derive suspended particulate matter maps from satellite data (MODIS-Aqua) for the Río de la Plata region. A strong correlation between suspended particulate matter and turbidity was found (Pearson correlation coefficient =0.91) and the linear regression (slope =0.76 and intercepts =12.78, R2=0.83) explained 83% of the variance. The validation of the empirical algorithm, using co-located and coincident satellite and in situ measurements, showed good results with a low mean absolute error (14.60%) and a small and positive bias (3.04%), indicating that the estimated suspended particulate matter values tend to slightly overestimate the field values.

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