Spatio-Temporal Analysis of Water Quality Parameters in Machángara River with Nonuniform Interpolation Methods
AbstractWater quality measurements in rivers are usually performed at intervals of days or months in monitoring campaigns, but little attention has been paid to the spatial and temporal dynamics of those measurements. In this work, we propose scrutinizing the scope and limitations of state-of-the-art interpolation methods aiming to estimate the spatio-temporal dynamics (in terms of trends and structures) of relevant variables for water quality analysis usually taken in rivers. We used a database with several water quality measurements from the Machángara River between 2002 and 2007 provided by the Metropolitan Water Company of Quito, Ecuador. This database included flow rate, temperature, dissolved oxygen, and chemical oxygen demand, among other variables. For visualization purposes, the absence of measurements at intermediate points in an irregular spatio-temporal sampling grid was fixed by using deterministic and stochastic interpolation methods, namely, Delaunay and k-Nearest Neighbors (kNN). For data-driven model diagnosis, a study on model residuals was performed comparing the quality of both kinds of approaches. For most variables, a value of
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Vizcaíno, I.P.; Carrera, E.V.; Sanromán-Junquera, M.; Muñoz-Romero, S.; Luis Rojo-Álvarez, J.; Cumbal, L.H. Spatio-Temporal Analysis of Water Quality Parameters in Machángara River with Nonuniform Interpolation Methods. Water 2016, 8, 507.
Vizcaíno IP, Carrera EV, Sanromán-Junquera M, Muñoz-Romero S, Luis Rojo-Álvarez J, Cumbal LH. Spatio-Temporal Analysis of Water Quality Parameters in Machángara River with Nonuniform Interpolation Methods. Water. 2016; 8(11):507.Chicago/Turabian Style
Vizcaíno, Iván P.; Carrera, Enrique V.; Sanromán-Junquera, Margarita; Muñoz-Romero, Sergio; Luis Rojo-Álvarez, José; Cumbal, Luis H. 2016. "Spatio-Temporal Analysis of Water Quality Parameters in Machángara River with Nonuniform Interpolation Methods." Water 8, no. 11: 507.
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