文章构建以舆情客体为核心的突发事件网络舆情事件图谱，旨在呈现舆情客体与舆情本体之间的关联关系，支撑以风险防范化解与应急管理为导向的突发事件网络舆情监测与治理。首先，考虑到网络舆情信息的多样性、模糊性，设计突发事件网络舆情事件图谱的结构，将其划分为舆情主体层、舆情本体层和舆情客体层，并提出网络舆情事件图谱的构建流程和方法；其次，探索网络舆情事件图谱的应用场景，提出一系列基于事件图谱的网络舆情演化分析方法；最后，以2023年涿州暴雨为例开展实证研究，构建了涿州暴雨灾害事件的网络舆情事件图谱，并基于事件图谱分析网络舆情的演化过程，梳理了关键事件的发展趋势。研究表明：网络舆情事件图谱能够有效描述舆情主体、舆情本体和舆情客体及其间关联，描述网络舆情的演化趋势，呈现风险建构的关键节点，揭示关键事件的次生风险和衍生风险，为面向突发事件应急管理的网络舆情治理提供新的视角和参考依据。

The construction of an emergency online public opinion event graph, centered on the public opinion object, aims to illustrate the correlations between the public opinion object and public opinion ontology. This supports the monitoring and governance of emergency online public opinion, focusing on risk prevention, mitigation, and emergency management. Firstly, considering the diversity and ambiguity of online public opinion information, we design the structure of an online public opinion event graph for emergencies. This structure is divided into the public opinion subject layer, public opinion ontology layer, and public opinion object layer, and we propose the construction process and method for the online public opinion event graph. Secondly, we explore the application scenarios of the online public opinion event graph and introduce a series of online public opinion evolution analysis methods based on the event graph. Finally, an empirical study is conducted on the Zhuozhou rainstorm of 2023, constructing the online public opinion event graph for the Zhuozhou rainstorm disaster and analyzing the evolution process of online public opinion using the event graph to delineate the development trends of key events. The study demonstrates that the online public opinion event graph effectively describes the subjects, ontology, and objects of public opinion and their interconnections, presents the evolution trend of online public opinion, identifies key nodes of risk construction, and reveals secondary and derivative risks of key events. This provides new perspectives and reference bases for the governance of online public opinion in the context of emergency management.