Non- Linear Canonical Correlation Analysis Between Water Flows and Water Quality: a case study on the Mälaren basin

• Main Author: Cantoni, Jacopo
• Format: Others
• Language: English
• Published: Uppsala universitet, Institutionen för geovetenskaper 2018
• Subjects: Sustainable Development; Non-linear Canonical Correlation analysis; water quality; Mälaren basin; hydrology; data mining; Earth and Related Environmental Sciences; Geovetenskap och miljövetenskap
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-359658

This study starts from the perspective of a future increase availability of water quality data at the water treatment facility at Lovön and aims to use the existing data to identify a pattern in the role of the different sub-basin that constitute the Mälaren basin. The data are analyzed with the graphical tool of the scatterplot and a Non-linear Canonical Correlation Analysis, a variation of the classical multivariate method, that by using a neural network model is able to handle not linear relationships. From the data analysis, it is possible to identify that different areas have different contribution in shaping the water quality at the facility of Lovön, but also that this pattern of contribution is strongly affected by the season inside the analyzed year.