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Land use/land cover is one of the critical factors that affects surface-water quality at catchment scale. Effective mitigation strategies require an in-depth understanding of the leading causes of water pollution to improve community well-being and ecosystem health. The main aim of this study is to assess the relationship between land use/land cover and biophysical and chemical water-quality parameters in the Santa Lucía catchment (Uruguay, South America). The Santa Lucía river is the primary potable source of the country and, in the last few years, has had eutrophication issues. Several multivariate statistical analyses were adopted to accomplish the specific objectives of this study. The principal component analysis (PCA), coupled with k-means cluster analysis (CA), helped to identify a seasonal variation (fall/winter and spring/summer) of the water quality. The hierarchical cluster analysis (HCA) allowed one to classify the water-quality monitoring stations in three groups in the fall/winter season. The factor analysis (FA) with a rotation of the axis (varimax) was adopted to identify the most significant water-quality variables of the system (turbidity and flow). Finally, another PCA was run to link water-quality variables to the dominant land uses of the watershed. Strong correlations between TP and agriculture-land use, TP and livestock farming, NT and urban areas arose. It was found that these multivariate exploratory tools can provide a proper overview of the water-quality behavior in space and time and the correlations between water-quality variables and land use.
Angela Gorgoglione; Javier Gregorio; Agustín Ríos; Jimena Alonso; Christian Chreties; Mónica Fossati. Influence of Land Use/Land Cover on Surface-Water Quality of Santa Lucía River, Uruguay. Sustainability 2020, 12, 4692 .
AMA StyleAngela Gorgoglione, Javier Gregorio, Agustín Ríos, Jimena Alonso, Christian Chreties, Mónica Fossati. Influence of Land Use/Land Cover on Surface-Water Quality of Santa Lucía River, Uruguay. Sustainability. 2020; 12 (11):4692.
Chicago/Turabian StyleAngela Gorgoglione; Javier Gregorio; Agustín Ríos; Jimena Alonso; Christian Chreties; Mónica Fossati. 2020. "Influence of Land Use/Land Cover on Surface-Water Quality of Santa Lucía River, Uruguay." Sustainability 12, no. 11: 4692.
Land use change is an important driver of trends in streamflow. However, the effects are often difficult to disentangle from climate effects. The aim of this paper is to demonstrate that trends in streamflow can be identified by analysing residuals of rainfall-runoff simulations using a Generalized Additive Mixed Model. This assumes that the rainfall-runoff model removes the average climate forcing from streamflow. The case study involves the Santa Lucía river (Uruguay), the GR4J rainfall-runoff model, three nested catchments ranging from 690 to 4900 km 2 and 35 years of observations (1981–2016). Two exogenous variables were considered to influence the streamflow. Using satellite data, growth in forest cover was identified, while the growth in water licenses was obtained from the water authority. Depending on the catchment, effects of land use change differ, with the largest catchment most impacted by afforestation, while the middle size catchment was more influenced by the growth in water licenses.
Rafael Navas; Jimena Alonso; Angela Gorgoglione; R. Willem Vervoort. Identifying Climate and Human Impact Trends in Streamflow: A Case Study in Uruguay. Water 2019, 11, 1433 .
AMA StyleRafael Navas, Jimena Alonso, Angela Gorgoglione, R. Willem Vervoort. Identifying Climate and Human Impact Trends in Streamflow: A Case Study in Uruguay. Water. 2019; 11 (7):1433.
Chicago/Turabian StyleRafael Navas; Jimena Alonso; Angela Gorgoglione; R. Willem Vervoort. 2019. "Identifying Climate and Human Impact Trends in Streamflow: A Case Study in Uruguay." Water 11, no. 7: 1433.