Application of integrated hydrological models to manage water resources and non-point agricultural pollutants are increasingly used in decision-making processes. In this study SWAT (Soil and Water Assessment Tool) was used to simulate the water balance and nitrate pollution in an intensively irrigated agricultural catchment (Flumen River in Monegros, Aragon, NE Spain). Rainfall comprised only 45% of the inputs of water in the Flumen watershed and the rest is contributed through irrigation canals from two other rivers outside the Flumen watershed.
View Article and Find Full Text PDFMultivariate techniques for two-dimensional data matrices are normally used in water quality studies. However, if the temporal dimension is included in the analysis, other statistical techniques are recommended. In this study, partial triadic analysis was used to investigate the spatial and temporal variability in water quality variables sampled in a northeastern Spain river basin.
View Article and Find Full Text PDFA detailed understanding of the study area is essential to achieve key information and optimize the monitoring, analysis, and evaluation of water quality of natural ecosystems that have been highly transformed into agricultural areas. Using classification techniques like the hierarchical cluster analysis (CA) and partial triadic analysis (PTA), we assessed the sources of water pollution and the seasonal influence of human activities in water composition in a river basin from northeastern Spain. The results suggested that a strong connection existed between water quality and the seasonality of the human activities.
View Article and Find Full Text PDFA survey was undertaken of the use of non-invasive ventilation (NIV) in Spain. 45.7% of emergency departments use NIV.
View Article and Find Full Text PDFObjective: To assess the quality and relevance of adverse drug reactions (ADRs) published as Letters to the Editor (LE) in Spanish medical journals.
Design: Observational study.
Participants: LE on adverse drug reactions published over 5 years (1994-98).