Monitoring Water Quality in a Reservoir of the Semi-arid Region Using Remote Sensing
Journal Title: Journal of Experimental Agriculture International - Year 2017, Vol 19, Issue 1
Abstract
Aims: The aim of this study was to analyse the use of remote sensing as an alternative in monitoring water quality, and to analyse models that estimate the concentrations of chlorophyll-a (Chl-a) in a reservoir in the semi-arid region. Place and Duration of Study: Field campaigns were carried out at the Pereira de Miranda reservoir, Pentecoste, in the State of Ceará (CE), at five sampling points, from December 2014 to December 2015. Methodology: Limnological and spectral data were used, which were collected using a spectroradiometer. The limnological attributes of Chl-a and suspended sediments were analysed in the laboratory, and used to evaluate the spectral responses. Four three-band models were analysed for estimating the concentrations of Chl-a. Results: The models of Lopes [11] and Gitelson et al. [15] gave the best performance, with respective satisfactory results for R² of 0.75 and 0.79, MAE errors of 6.74 (μg.L-1) and 6.51 (μg.L-1), an NSE of 0.74 for both models, and RMSE of 9.01 (μg.L-¹) and 8.93 (μg.L-¹). From these results, the models were selected and applied in the campaigns of April and September 2015. Conclusion: The use of remote sensing is therefore viable in estimating concentrations of Chl-a, collaborating to the development of research and in water resource management at lower cost.
Authors and Affiliations
Janaina Castro De Mendonça, Fernando Bezerra Lopes, Eunice Maia de Andrade, Francisco Josivan de Oliveira Lima, Fernanda Helena Oliveira da Silva
Keywords
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- EP ID EP315227
- DOI 10.9734/JEAI/2017/37913
- Views 117
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