Design of a Variable-Length Sequential Prediction Framework GTV-STP Based on Spatial and Temporal Water Quality Information of Taihu Lake
Yubo Lei,
Bo Hu,
Hongyuan Huang
et al.
Abstract:Water quality predictions have a great importance in water resource managements and water pollution protections. Most the currently used water quality models can only predict time sequence of fixed length and ignore the real hydrological flow information. In this paper, we propose a new water quality prediction framework GTV-STP that adopts an embedding-Encoder-Decoder structure, in which the timestamps are introduced into the water quality information. The spatial embedding method is developed to introduce th… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.