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Design of water quality monitoring networks with two information scenarios in tropical Andean basins

  • Efficient & Sustainable Water Systems Management toward Worth Living Development
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Abstract

Design and redesign of water quality monitoring networks were evaluated for two similarly sized watersheds in the tropical Andes via optimization techniques using geographic information system technology (GIS) and a matter-element analysis of 5-day biological oxygen demand (BOD5) and total suspended solids (TSS). This resulted in a flexible, objectively based design for a 1128-km2 watershed without prior water quality data (La Miel River), and a network redesign of a 1052-km2 watershed with historical water quality monitoring (Chinchiná River). Monitoring design for the undocumented basin incorporated mathematical expressions for physical, anthropological, and historical factors—and was based on clear objectives for diagnosis and intervention of water pollution. Network redesign identified network redundancy, which resulted in a 64% reduction in the number of water quality monitoring stations along the channel, and a 78% reduction of stations throughout the basin. Most tropical drainage basins throughout the world have little to no prior water quality data. But even in well-studied drainage basins like the Chinchiná River, which is among the most thoroughly studied basins in Colombia, redesign of historical and existing monitoring networks will become a standard tool to advance the restoration of polluted surface waters, not only in Colombia, but also throughout the world.

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Acknowledgements

The authors would like to thank CORPOCALDAS, who supplied data and funded the Project “Linea Base Ambiental de Caldas” which supplied some support for this paper, and special thanks to IDEA and “GTA Ingeniería Hidráulica y Ambiental” of Universidad Nacional de Colombia Sede Manizales.

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Correspondence to Jorge Julián Vélez.

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Responsible editor: Kenneth Mei Yee Leung

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Bastidas, J.C., Vélez, J.J., Zambrano, J. et al. Design of water quality monitoring networks with two information scenarios in tropical Andean basins. Environ Sci Pollut Res 24, 20134–20148 (2017). https://doi.org/10.1007/s11356-017-9021-6

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