  In economics we often face a system, which intrinsically imposes a structure
of hierarchy of its components, i.e., in modelling trade accounts related to
foreign exchange or in optimization of regional air protection policy.
  A problem of reconciliation of forecasts obtained on different levels of
hierarchy has been addressed in the statistical and econometric literature for
many times and concerns bringing together forecasts obtained independently at
different levels of hierarchy.
  This paper deals with this issue in case of a hierarchical functional time
series. We present and critically discuss a state of art and indicate
opportunities of an application of these methods to a certain environment
protection problem. We critically compare the best predictor known from the
literature with our own original proposal. Within the paper we study a
macromodel describing a day and night air pollution in Silesia region divided
into five subregions.
