Author(s): Elisa Coraggio; Theo Tryfonas; Claire Gronow; Dawei Han
Linked Author(s): Dawei Han
Keywords: No Keywords
Abstract: A good understanding of water quality is fundamental for managing water resources in future scenarios that include water scarcity and climate change. Despite the advancement in technologies and high-frequency datasets for water quality in surface water becoming widely available, there is still insufficient knowledge on how to build effective prediction models using such datasets. This study proposes a technique for finding the suitable input features (including data frequency) needed to build a robust water quality prediction model that is able to predict the surface water body’s behaviour in the future.