Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

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Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan

Multi-step ahead inflow forecasting has a critical role to play in reservoir operation and management in Taiwan during typhoons as statutory legislation requires a minimum of 3-hours warning to be issued before any reservoir releases are made. However, the complex spatial and temporal heterogeneity...

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Bibliographic Details
Main Authors:	Meng-Jung, T., Abrahart, R.J., Mount, Nick J., Chang, F.-J.
Format:	Article
Published:	Wiley 2014
Subjects:	semi-distributed model rainfall-runoff model data-driven model reservoir inflow radar rainfall ANFIS
Online Access:	https://eprints.nottingham.ac.uk/28053/

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