Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019WR025991 |
Self-Organizing Maps for Evaluation of Biogeochemical Processes and Temporal Variations in Water Quality of Subtropical Reservoirs | |
Melo, Darllene S.1,2; Gontijo, Erik S. J.1,2; Frascareli, Daniele1,2; Simonetti, Vanessa C.1; Machado, Leila S.1; Barth, Johannes A. C.3; Moschini-Carlos, Viviane1; Pompeo, Marcelo L.4; Rosa, Andre H.1; Friese, Kurt2 | |
2019-12-06 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:12页码:10268-10281 |
文章类型 | Article |
语种 | 英语 |
国家 | Brazil; Germany |
英文摘要 | 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. |
英文关键词 | Kohonen neural network trophic state index (TSI) limnology reservoir management |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000500936400001 |
WOS关键词 | TROPHIC STATE INDEX ; LAND-USE ; ITUPARARANGA RESERVOIR ; SAO-PAULO ; CHEMICAL-COMPOSITION ; TROPICAL RESERVOIR ; FISH COMMUNITY ; NEURAL-NETWORK ; RIVER-BASIN ; PATTERNS |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/223958 |
专题 | 资源环境科学 |
作者单位 | 1.Sao Paulo State Univ, Inst Sci & Technol, UNESP, Sorocaba, Brazil; 2.UFZ Helmholtz Ctr Environm Res, Dept Lake Res, Magdeburg, Germany; 3.Friedrich Alexander Univ Erlangen Nurnberg FAU, GeoZentrum Nordbayern, Dept Geog & Geosci, Erlangen, Germany; 4.Univ Sao Paulo, Dept Ecol, Inst Biosci, Sao Paulo, SP, Brazil |
推荐引用方式 GB/T 7714 | Melo, Darllene S.,Gontijo, Erik S. J.,Frascareli, Daniele,et al. Self-Organizing Maps for Evaluation of Biogeochemical Processes and Temporal Variations in Water Quality of Subtropical Reservoirs[J]. WATER RESOURCES RESEARCH,2019,55(12):10268-10281. |
APA | Melo, Darllene S..,Gontijo, Erik S. J..,Frascareli, Daniele.,Simonetti, Vanessa C..,Machado, Leila S..,...&Friese, Kurt.(2019).Self-Organizing Maps for Evaluation of Biogeochemical Processes and Temporal Variations in Water Quality of Subtropical Reservoirs.WATER RESOURCES RESEARCH,55(12),10268-10281. |
MLA | Melo, Darllene S.,et al."Self-Organizing Maps for Evaluation of Biogeochemical Processes and Temporal Variations in Water Quality of Subtropical Reservoirs".WATER RESOURCES RESEARCH 55.12(2019):10268-10281. |
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