  A new test for structural changes in functional data is investigated. It is
based on Hilbert space theory and critical values are deduced from bootstrap
iterations. Thus a new functional central limit theorem for the block bootstrap
in a Hilbert space is required. The test can also be used to detect changes in
the marginal distribution of random vectors, which is supplemented by a
simulation study. Our methods are applied to hydrological data from Germany.
