Abstract
<p>Trophic structure deterioration in continental water bodies (lakes and damps) has been a growing problem during the last years. Numerous factors, either natural or man-made contribute in value increments of various water quality indexes ranging toward eutrophication. Our study had objective to use remote sensing as complementary tool to study the spatial distribution and dynamics of Lake Vichuquén water quality parameters in two seasons of 2016 through the use of two satellite images of the Landsat 8 OLI sensor, with in situ and laboratory data. The Chl-a and Z<sub>SD</sub> parameters were estimated from multiple linear regression models. The results indicate that the trophic state of Lake Vichuquén corresponds to a eutrophic level in summer and mesotrophic in autumn. The laboratory analyzes establish for the summer and autumn season that the Chl-a data oscillate between 14.1 and 5.5 μg/l and for the Z<sub>SD</sub> between 3.7 and 2.5 m respectively. The increase in the levels of eutrophication of Lake Vichuquén is influenced in the first place by the seasonality and secondly by the different land uses that accelerate this type of processes; such as the plantations of radiata pine and eucalyptus, the agricultural activities and the urban areas surrounding the lake. The mean square error for each variable and each season varied in Chl-a in summer and another year 0.74 and 0.01 µg/l and Z<sub>SD</sub> 0.16 m respectively.</p>
Publisher
Universitat Politecnica de Valencia
Subject
Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development
Reference34 articles.
1. Boehrer, B., Schultze, M. 2008. Stratification of lakes. Reviews of Geophysics, 46(2), 1-27. https://doi.org/10.1029/2006RG000210
2. Bonansea, M., Ledesma, C., Rodríguez, C., Sanchez Delgado, A. R. 2012. Concentración de clorofila-a y limite de zona fótica en el embalse Rio Tercero (Argentina) utilizando imágenes del satélite CBERS-2B. Ambiente & Água -An Interdisciplinary Journal of Applied Science, 7(3). https://doi.org/10.4136/ambi-agua.847
3. Bukata, R. P., Jerome, J. H., Kondratyev, K. Y., Pozdnyakov, D. V. 1991. Estimation of Organic and Inorganic Matter in Inland Waters: Optical Cross Sections of Lakes Ontario and Ladoga. Journal of Great Lakes Research, 17(4), 461-469. https://doi.org/10.1016/S0380-1330(91)71382-8
4. Centro de Ecología Aplicada. 2014. Diagnóstico de la condición trófica de cuerpos lacustres utilizando nuevas herramientas tecnológicas. Gobierno de Chile, Ministerio de Obras Públicas, Santiago, Chile. Disponible en: http://documentos.dga.cl/LGO5517.pdf
5. Chen, H. 2016. Monitoring tropical billabong water turbidity using Remotely Piloted Aircraft System (RPAS) derived imagery. Charles Darwin University. Disponible en: http://espace.cdu.edu.au/eserv/ cdu:59859/Thesis_CDU_59859_Chen_H.pdf
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