Modeling Earth Systems and Environment

, Volume 4, Issue 1, pp 39–47 | Cite as

Locally tuned model to map the chlorophyll-a and the trophic state in Porto Primavera reservoir using MODIS/Terra images

  • Ricardo Eraso
  • Maria de Lourdes Galo
  • Enner Alcântara
  • Milton Shimabukuro
  • Alisson Carmo
Short Communication
  • 57 Downloads

Abstract

In this work we hypothesized that the damming of a rural River for hydropower generation, altering the water retention time should increase the chlorophyll-a (Chl-a) concentration, consequently changing the trophic status. To test this hypothesis, we selected the Porto Primavera (PP) reservoir, which the construction of the dam began in 1998, as study area. Two fieldworks were conducted in order to obtain water quality and optical data. These field data were used to adjust and validate a statistical-based model. The adjusted model was applied to a time-series of MODIS/Terra images from 2000 to 2015 to obtain the spatial and temporal Chl-a concentration and consequently the trophic status classification. The results showed the following pattern: lower concentration occurred during the dry season and the highest during wet season. The Chl-a time series analysis showed a small tendency in Chl-a concentration to increase over time, but the trophic status has not changed over these 15 years. Our hypothesis can be accepted for the Chl-a concentration but not for the trophic status change. We believe that our findings can improve our knowledge about the water quality dynamics in PP reservoir and can help in future modeling approaches.

Keywords

Water quality Inland water Bio-optical model And satellite images 

Notes

Acknowledgements

The authors thank to Agricultural and Forestry Studies Foundation—FEPAF for financial support to perform fieldworks and laboratory analysis and Higher Education Personnel Improvement Coordination (CAPES). Enner Alcântara thank to São Paulo Research Foundation under Grant no. 2015/21586-9 and the National Counsel of Technological and Scientific Development under Grant no. 301365/2015-6.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of CartographySão Paulo State UniversityPresidente PrudenteBrazil
  2. 2.Department of Environmental EngineeringSão Paulo State UniversitySão José dos CamposBrazil
  3. 3.Department of Mathematics and Computer ScienceSão Paulo State UniversityPresidente PrudenteBrazil

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