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Environmental Monitoring Model for a Drainage Basin Obtained through Spectral Analysis of Time Series
Author(s) -
Faht Guilherme,
Silva Marcos Rivail,
Pinheiro Adilson,
Kaufmann Vander,
Águida Leandro Mazzuco
Publication year - 2012
Publication title -
water environment research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 73
eISSN - 1554-7531
pISSN - 1061-4303
DOI - 10.2175/106143012x13373575830719
Subject(s) - sampling (signal processing) , environmental science , series (stratigraphy) , fragility , drainage basin , statistics , hydrology (agriculture) , mathematics , computer science , engineering , filter (signal processing) , chemistry , geology , geography , cartography , paleontology , geotechnical engineering , computer vision
The quality of results of an environmental monitoring plan is limited to the weakest component, which could be the analytical approach or sampling method. Considering both the possibilities and the fragility that sampling methods offer, this environmental monitoring study focused on the uncertainties caused by the time component. Four time series of nutrient concentration at two sampling points (PB1 and PB2) in the Ribeirão Garcia basin in Blumenau, Brazil, which were significantly correlated to the spatial component, were considered with a 2‐hour resolution to develop efficient sampling models. These models were based on the time at which there was the highest tendency toward adverse environmental effects. Fourier spectral analysis was used to evaluated the time series and resulted in two sampling models: (1) the SMCP (Sampling Model for Critical Period) that operated with 100% efficiency for registering the highest concentration of nutrients and was valid for 83% of the studied parameters; and (2) the SMGCP (Sampling Model for Global Critical Period) that operated with 83 and 50% efficiency for PB1 and PB2, respectively.