Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1029/2019WR025991
Title (Primary) Self‐organizing maps for evaluation of biogeochemical processes and temporal variations in water quality of subtropical reservoirs
Author Silveira Melo, D.; Gontijo, E.S.J.; Frascareli, D.; Simonetti, V.C.; Machado, L.S.; Barth, J.A.C.; Moschini-Carlos, V.; Pompêo, M.L.; Rosa, A.H.; Friese, K.
Source Titel Water Resources Research
Year 2019
Department SEEFO
Volume 55
Issue 12
Page From 10268
Page To 10281
Language englisch
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Keywords Kohonen neural network; trophic state index (TSI); limnology; reservoir management
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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22564
Silveira Melo, D., Gontijo, E.S.J., Frascareli, D., Simonetti, V.C., Machado, L.S., Barth, J.A.C., Moschini-Carlos, V., Pompêo, M.L., Rosa, A.H., Friese, K. (2019):
Self‐organizing maps for evaluation of biogeochemical processes and temporal variations in water quality of subtropical reservoirs
Water Resour. Res. 55 (12), 10268 - 10281 10.1029/2019WR025991