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- Title
Self‐Organizing Maps for Evaluation of Biogeochemical Processes and Temporal Variations in Water Quality of Subtropical Reservoirs.
- Authors
Melo, Darllene S.; Gontijo, Erik S. J.; Frascareli, Daniele; Simonetti, Vanessa C.; Machado, Leila S.; Barth, Johannes A. C.; Moschini‐Carlos, Viviane; Pompêo, Marcelo L.; Rosa, André H.; Friese, Kurt
- Abstract
Water quality in reservoirs is often compromised in many regions worldwide by nutrients and trace metals. This demands continuous monitoring; however, analyses of large data sets collected during regular monitoring remain a difficult task. Multivariate techniques offer a fast and robust approach for interpreting complex results. The objective of this study was to check the efficacy of self‐organizing maps (SOMs) as a tool to investigate biogeochemical processes. This tool can also help to illustrate influences of land use patterns on the water quality of reservoirs. Here we use the Itupararanga Reservoir in Brazil as a subtropical example. Vertical profiles were sampled from seven sites in the reservoir in a total of seven campaigns over 24 months. Next to physicochemical parameters in the water column (dissolved oxygen, Eh, pH, and temperature), levels of nutrients (NO3−, NH4+, and PO43−), transition and trace metals (Al, Ba, Ca, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, and Zn), and chlorophyll‐a (Chla) were measured. These variables were correlated with land use using SOM. With this technique samples were classified into 17 distinct groups that showed distinct influences of spatial heterogeneity and seasonality. The analyses helped to reveal a seasonal stratification period, where Fe, Mn, and P were released from sediments. Nutrients and some metal inputs (Al and Fe) were related to agricultural, urban, and grass/pasture areas around the reservoir. Our approach also helped to explain physical and biogeochemical seasonality in the reservoir. Key Points: Self‐organizing maps allowed to link limnological variables and land useSelf‐organizing maps indicated influence of compartmentalization and seasonality in the reservoirSelf‐organizing maps analysis gave evidence of Fe, Mn, and P release from sediments
- Subjects
BRAZIL; TRACE metals; WATER quality; SELF-organizing maps; RESERVOIRS; BIG data; TROPHIC state index
- Publication
Water Resources Research, 2019, Vol 55, Issue 12, p10268
- ISSN
0043-1397
- Publication type
Article
- DOI
10.1029/2019WR025991