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Use of geospatial and multivariate statistical analysis in support of water quality monitoring of hydroelectric rerervoirs
Hydropower reservoirs are man-made artificial aquatic ecosystem that present a high dynamic and cmplexity in space and time, with interactions between iys structural (dams), physical chemical and biological components. They are important not only for their electrical power generation, but also for other functions susch as water suply, flood control, fisheries, as ecological wetland, for leisure activities and navigation. However, their construction causes diverse impacts to terresterial and aquatic systems. In aquatic systems they unterfere with the physical and chemical conditions of the water quality due to alterations of the hydrological regime of the dammed river, and with the functioning mechamism and sucession of plankton communities. Terrestrial impacts include loss of fauna and flora, dislocation of population in areas which will be flooded and increase of endemic discases. Nevertheless, these large construction largely effect the water environement and their impoundments regularly cause changes leading to degradation of water quality. TYpical effects noticed in tropical hydropower reserviors are eetrophication that leads to recurring algae blooms which can be harmful to human health and greenhouse emissions which is a global concern among researchers around the world due to these gases potential to contribute to global warming.
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