  The Portmanteau test provides the vanilla method for detecting serial
correlations in classical univariate time series analysis. The method is
extended to the case of observations from a locally stationary functional time
series. Asymptotic critical values are obtained by a suitable block multiplier
bootstrap procedure. The test is shown to asymptotically hold its level and to
be consistent against general alternatives.
