With intensifying global climate change and frequent extreme weather events posing severe challenges to emergency management systems, the quality of policy design directly affects operating efficiency. This study establishes a scientific, quantitative policy evaluation system for meteorological disaster emergency management to provide evidence for enhancing emergency management capabilities. Using the Policy Modeling Consistency index model, the research analyzes China's provincial-level meteorological disaster emergency management policies from 2007 to 2025, constructing a comprehensive evaluation framework across four dimensions: policy concept and framework management, preparedness and prevention, monitoring and early warning, and emergency response and disposal. Taking China's meteorological geographical zoning as the spatial basis, ten provincial policy samples covering the ten primary meteorological geographical regions are selected for empirical analysis. The findings reveal good overall consistency among the selected policies. The monitoring and early warning stage achieves the highest average score, followed by the preparedness and prevention stage, whereas the emergency response and disposal stage scores lower. Spatial comparison further shows differentiated policy designs under different meteorological geographical conditions. The selected policies exhibit locally adapted priorities corresponding to different disaster risks, while differences in policy completeness are also observed, with policies from eastern coastal and northeastern areas being relatively more systematic and comprehensive than some policies from western plateau and ecologically fragile areas. Thus, China has established a comprehensive disaster defense system covering the full emergency management life cycle, balancing national standards with local characteristics. However, improvements are needed in strengthening guidance for pre-disaster prevention, enhancing regional coordinated development, and improving post-disaster institutional support mechanisms.
Dust storms pose significant environmental and public health challenges in arid and semi-arid regions, yet spatial assessments of population vulnerability remain limited. This study introduces a geoinformatics-based spatial–statistical framework that integrates long-term satellite-derived dust hazard dynamics with county-level cause-specific mortality data to develop a Dust-related Health Vulnerability Index (DHVI). The framework combines dust frequency, intensity, and continuity indicators derived from daily MODIS Aerosol Optical Depth (AOD) observations with mortality associated with digestive, respiratory, cardiovascular, and blood system diseases. Spatial–statistical evaluation of the county-level DHVI demonstrated significant spatial dependence and clustering, as confirmed by Global Moran's I (0.63, p-value <0.001), together with Local Moran's I, Getis–Ord Gi*, and cluster–outlier analyses. Results show that approximately 16% of Iran's total county area was classified as exhibiting very high dust-related health vulnerability, predominantly across western, southwestern, southern, and southeastern Iran, whereas northern, northwestern, and northeastern regions exhibited no statistically significant vulnerability clusters. The DHVI provides a robust, transferable framework for prioritizing public health interventions, targeted dust mitigation, and evidence-based policy planning in dust-affected regions worldwide.
This article examines how resilience thinking can be operationalised through a co-production with stakeholders in the disaster risk reduction sector (DRR). Through transdisciplinary research within the national context of Czechia, this study addresses the general gap between resilience as a widely promoted theoretical concept and the challenges of its practical implementation. The research process involved two participatory workshops with DRR stakeholders from public administration, research, NGOs, emergency services, local governments, volunteering, and communities affected by disasters. Workshop data and co-produced materials were analysed through reflexive thematic analysis, guided by the seven resilience thinking principles. Rather than reducing operationalisation to indicators, our approach shows how resilience principles can be operationalised through the co-production of shared visions and concrete pathways that reflect the realities of DRR systems. Resulting visions and pathways include dimensions that are often difficult to capture through indicator-focused resilience operationalisation – e.g., local and tacit knowledge, social and institutional barriers, power relations or cultural context. This co-productive approach shifts the focus from measuring resilience to enacting it and integrates multiple epistemologies into the operationalisation process. Simultaneously, it makes visible the social and political dimensions of resilience that are often obscured in technical frameworks used within DRR.
