Organizational resilience is fundamental for an organization to maintain its survival and achieve sustainable development when encountering severe risks. The study of organizational resilience in disaster scenarios aims to establish a dialogue channel between theoretical research on resilience and emergency management practice, and to guide the research and practice of disaster emergency management with the rich achievements and management inspirations of organizational resilience research. Therefore, based on raising the research issues of organizational resilience in disaster scenarios, this paper uses Citespace software to sort out the core literature in the field of disaster resilience, sort out the research topics of concern, and form an organizational resilience research and analysis framework based on the entire process of disaster emergency management, and then proposes future research prospects.

Post−disaster restoration and reconstruction after major disasters is an open and complex mega−system project. This paper attempts to interpret the historical development of post−disaster restoration and reconstruction in China from the system engineering perspective. First, we define major disaster events and provide classification and outline significant catastrophic events since 1949. Secondly, we use Hall's three−dimensional morphology and Wuli−Shili−Renli system approach to construct the system structure of post−disaster restoration and reconstruction from three dimensions: development stages, critical activities, and science and technology. Then, by examining the specific measures of post−disaster restoration and reconstruction in typical catastrophic events and their relationship with the evolution of human−environment interactions, the traditional, sustainable and intelligent patterns of post−disaster restoration and reconstruction systems are revealed. Finally, the historical experiences of China's post−disaster restoration and reconstruction are summarized in five aspects: institutional advantages and legal guarantees, cross−departmental coordination and information sharing, intelligent monitoring and precise needs assessment, infrastructure and cultural construction, and catastrophe relief and insurance.

As global climate change accelerates and urbanization progresses, natural disasters such as floods, earthquakes, and typhoons pose serious threats to human society. The development of information technology provides new momentum and possibilities for disaster prevention, reduction, and relief systems, greatly enhancing the efficiency and effectiveness of disaster management. This paper analyzes the key applications of information technology in modern disaster management systems and discusses its potential to improve disaster response speed and reduce casualties. The application of information technology significantly enhances the precision and speed of disaster warnings, offering technical support to reduce disaster losses. With further advancements in information technology and the integration of multi−source data, the intelligence and precision of disaster management will continue to improve, providing more robust security for society.

After a major disaster, the recovery and reconstruction of housing are related to the stability of urban and rural society and the level of governance. It is not only the reconstruction of the survival foundation but also the reconstruction of social relationships and governance capabilities. It must be planned with a focus on the restoration of real social governance capabilities and how to reduce losses in the event of another major disaster in the future. From the practice of housing recovery and reconstruction, it cannot be separated from the joint promotion of the government and the market. The market can efficiently solve the incentive problem of social forces participating in reconstruction, and the government can more effectively address the restoration of social governance capabilities and future disaster prevention and reduction issues. At the same time, practice has shown that only through cooperation between the government and the market can both aspects be optimally resolved. In the process of "normal society–extraordinary society–reconstruction of normal society", it is necessary to fairly and harmoniously handle the supply of private and public goods in the housing reconstruction process and achieve the modernization of urban and rural governance as the guiding principle of social reconstruction. The analysis of the experience of three sample areas based on housing recovery and reconstruction also demonstrates the value of this understanding. It can be seen that in the process of housing reconstruction after a major disaster, the modernization of urban and rural social governance should be the basic consideration. By establishing a post−disaster housing reconstruction funding support system combining national subsidies and market post−disaster insurance systems, it can incentivize market forces such as enterprises to participate in housing reconstruction and simultaneously regulate housing reconstruction and social reconstruction from the policy and legal levels.

With the advancement of urbanization, the impact of catastrophe on socio−economic systems in increasing. This paper takes 12 counties (cities) in the hard−hit areas of Wenchuan earthquake in 2008 as the research object, and discusses the temporal and spatial evolution of economic, social and institutional resilience before and after the disaster. The results show that although the Wenchuan earthquake has caused serious damage to various regions, the level of economic, social and institutional resilience in various regions has increased year by year under effective policy support and resource allocation. Based on the research results, this paper proposes strategies such as optimizing resource allocation and infrastructure restoration, improving community participation and self−recovery capabilities, in order to further enhance the economic, social and institutional resilience of geological disaster−prone areas and achieve safer and sustainable development. This study provides an empirical basis for the government and decision makers to formulate more effective disaster response and recovery strategies, and promotes the scientific and systematic development of disaster management and resilience building.

With the frequent occurrence of extreme rainfall events around the world in recent years, the floods caused by them seriously threaten the safety of human life and property. Due to the abundant rainfall, undulating terrain, and good runoff conditions in mountainous areas. After rain, the flood flow of rivers rises sharply. Serious floods often form in the plains in front of mountains where human activities are frequent. To reduce the impact of floods on the human living environment, it is urgent to research the risk of heavy rainfall floods in the plains in front of mountains. This research will provide scientific guidance for flood prevention and mitigation. In this paper, the Piedmont area in northwestern Balochistan, severely affected by the 2022 floods in Pakistan, is taken as the study area. Two factors were selected as the flood indicators: substrate and climate. The weights of hierarchical analysis and mean squared difference decision method is assigned using the combination of weighting rules. The risk of the study area is calculated by combining the flood hazard resistance of different surface types, infrastructure, and economic development levels. The results show that the flood inundation prediction based on the combined weighting rule is consistent with reality. The predicted inundation area encompasses 90.31% of the actual inundated area. The results indicate that areas of very high risk are primarily located in regions with abundant farmland, low topography, and weak flood resistance. In these areas, floodwaters tend to accumulate.The study demonstrates that this inundation model can accurately predict flood inundation areas. The evaluation results can guide disaster prevention and mitigation efforts in the study area and similar regions along the "Belt and Road" to reduce the risk of flooding.