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A Proposal for Redesigning the Water Quality Network of the Tunjuelo River in Bogotá, Colombia through a Spatio-Temporal Analysis

Environmental Engineering Program, Universidad Santo Tomas, Cra. 9 #51-11 Bogotá, Colombia
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Resources 2019, 8(2), 64; https://doi.org/10.3390/resources8020064
Received: 2 February 2019 / Revised: 28 March 2019 / Accepted: 2 April 2019 / Published: 6 April 2019
(This article belongs to the Special Issue Multiple-effect Water Resources Management)
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Abstract

Bogotá is the capital of Colombia and represents the most important urban center in the country. Bogotá’s population and economic growth have accelerated exponentially in recent years and this growth has brought with it a variety of environmental impacts, including degradation of surface water quality. Government agencies have developed the water quality network of Bogotá that spans across four large rivers, including the Tunjuelo. According to measurements since 2009, water quality has changed in association with the dynamics of the city. This article utilizes a spatial and temporal analysis with multivariate statistics (Principal Components Analyses, dendograms, and Kruskal-Wallis) to propose a redesign of the Tunjuelo River water quality network. Based on these analyses, the number of monitoring stations can be reduced from nine to seven and the measurement frequency can be reduced. Together, the proposed spatial and temporal redesign would reduce the sample acquisition and analysis costs across the network by 50%. View Full-Text
Keywords: redesigning; water quality network; Tunjuelo River redesigning; water quality network; Tunjuelo River
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Peña-Guzmán, C.A.; Soto, L.; Diaz, A. A Proposal for Redesigning the Water Quality Network of the Tunjuelo River in Bogotá, Colombia through a Spatio-Temporal Analysis. Resources 2019, 8, 64.

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