Global cultural heritage is threatened by the increasing frequency and severity of natural disasters caused by climate change. International experts emphasise the importance of managing cultural heritage sustainably as part of a paradigm shift in cultural heritage perception, understanding, and management. This paradigm shift has stimulated a need to integrate cultural heritage into pre-existing disaster risk management governance. However, there is currently a lack of robust and practical approaches to map the complex nature of disaster risk management governance. It is here considered that a shared understanding of the respective roles and responsibilities of the different organisations involved in risk management is a critical element in improving the preparedness of cultural heritage sites. The purpose of this article is to present the utility of the Organigraph technique and its main components as a tool to map governance structures, identify key stakeholders, and integrate cultural heritage experts into wider disaster risk management. The article presents a semi-empirical research approach, consisting of four iterative phases in which a series of digital workshops, semi-structured meetings, and bilateral expert meetings were used to co-produce five Organigraphs for heritage sites participating in an ongoing European Project. Our findings suggest that Organigraphs provide a valuable tool at the disposal of practitioners and academics with the potential to provide a basis for cross-national, cross-issue, and cross-scale peer learning between heritage sites. Furthermore, the technique is a valuable self-diagnostic tool to facilitate learning and proactive discussions in the preparedness phase of disaster risk management. Finally, they facilitate the co-creation of solutions through an evolving, interactive platform to integrate data-driven approaches.

In 2017 the HEC-HMS model for the Sava River Basin was embedded under the Flood Forecasting and Warning System in the Sava River Basin (Sava FFWS) and coupled with many hydraulic models. Since the model was initially calibrated as the event-based model, a lack of accuracy has been recognized during the continuous simulations within the Sava FFWS operational use. Therefore, the Sava FFWS users organizations: ten forecasting organizations from five Sava countries, agreed to upgrade and improve this hydrological model. The activities of the model improvement were performed in period January 2019 till June 2020. It was implemented by the national experts from the Sava FFWS users' organizations as a true joint action and coordinated by the Secretariat of the International Sava River Basin Commission. This paper presents the results of the Sava HEC-HMS model improvements and updated parameters, including a comparison of results of initial and improved models within the operational forecasting system. The paper also discusses the potentials of the remote sensing and radar-and satellite-based data that will be used for the future model improvements.