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Accurate and timely detection of river change attaches importance to regional ecological security. Since river change is a complex and dynamic process, there are difficulties to describe it properly. Inspired by geographic events research, river pattern events are innovatively proposed to quantify river change process, combining multi-dimensional information thoroughly. First, inter- and intra- events are defined by comparing typologies changes of river patterns. Afterwards, a river pattern events model (RPEM), integrating "Event types-Spatial locations-River patterns-Morphological features-Hydrological attributes", was proposed to maximally characterize river change process. River pattern events were detected using the object increment difference (OID), and were interpreted as the semantic information in realistic rivers. Experimental results in the Lower Yellow River (LYR) demonstrated that the proposed method achieves good performance in assessing the morphological and hydrological change process. River pattern events are expected to support rapid detection and dynamic analysis of regional and global river change.