Publication Details and Research Context
A new modelling study published on June 10, 2026, in The Lancet Public Health provides the first comprehensive hospital-level assessment of urban flood risks across China under future climate scenarios. Titled "Hospital-level urban flood risk assessment and targeted strategies to increase hospital climate resilience in China: a modelling study," the work was led by researchers at Tsinghua University. It examines how intensifying extreme precipitation threatens approximately 14,000 general hospitals in 337 cities and evaluates cost-effective ways to protect these critical facilities.
The study comes at a time when China faces mounting challenges from climate-driven flooding. Urban areas have expanded rapidly, increasing impervious surfaces that exacerbate runoff during heavy rains. Hospitals serve as lifelines during disasters, yet many remain vulnerable to inundation that can disrupt operations, damage equipment, and delay patient care.
Research Team and Institutional Leadership
The collaborative effort involved multiple departments at Tsinghua University. Shangchen Zhang, a PhD candidate in the Department of Earth System Science, served as first author. Ruyi Li, a PhD candidate in the School of Environment, was second author. Professors Wenjia Cai and Xin Dong acted as co-corresponding authors. Additional contributors include Rui Wang, Shihui Zhang, Han Zhao, Yuchen Zhou, Xiang Gao, Ding Ding, Hou Sang Cheng, Wenyu Jiao, Chi Zhang, Can Wang, and Peng Gong. This interdisciplinary team combined expertise in earth system science, environmental engineering, public health, and urban modelling.
The full publication is available at https://www.sciencedirect.com/science/article/pii/S2468266726000721. A related institutional announcement from Tsinghua University details the project background and key outcomes.
Methodology: Building a National Hospital Database and Flood Model
Researchers constructed a detailed database encompassing China's general hospitals. They integrated high-resolution precipitation data at 9-kilometre spatial and 15-minute temporal scales to simulate urban flooding. The model estimated maximum water depths at each hospital location under different climate scenarios. Shared Socioeconomic Pathways provided the framework: SSP245 represents a medium-warming trajectory with moderate emissions reductions, while SSP585 depicts a high-warming pathway with continued high emissions.
The analysis quantified direct economic losses from flood damage and indirect health impacts from diagnostic and treatment delays. Scenarios compared outcomes with no additional adaptation beyond 2020 levels against various intervention packages. This fine-grained, hospital-specific approach allowed differentiation between facilities based on location, elevation, surrounding drainage infrastructure, and patient volume.
Projected Risks Under Medium and High Warming Scenarios
Under the SSP245 medium-warming scenario, even assuming hospitals maintain adaptation measures equivalent to 2020 standards, annual direct economic losses from urban flooding are projected to reach US$9.1 billion by the 2080s, with a 95% confidence interval of US$8.0–10.1 billion. This figure represents approximately 6.9% of China's 2022 government medical insurance expenditure. An estimated 6.8 million people (95% CI 4.5–9.6 million) could experience diagnostic delays annually due to disrupted hospital services.
The higher-warming SSP585 scenario amplifies these figures by roughly 50%. Water depths at many facilities would exceed current design standards for drainage systems, leading to more frequent and severe inundation events. Coastal and low-lying inland cities face disproportionate exposure, though risks vary significantly even within the same urban area depending on precise hospital siting.
Economic Losses and Health System Disruptions
Direct losses encompass structural damage, equipment replacement, and operational downtime. Indirect effects prove equally concerning: flooded access roads or power failures can prevent timely diagnostics, medication administration, and emergency procedures. In a nation where hospitals often anchor regional emergency response networks, such disruptions cascade into broader public health consequences during extreme weather.
The study underscores that hospitals function not only as treatment centres but as essential nodes in urban resilience. When they falter, the capacity to manage climate-related injuries, infectious disease outbreaks following floods, and routine care for vulnerable populations diminishes sharply.
Comparing Adaptation Investment Strategies
A key contribution lies in the cost-effectiveness analysis of adaptation options. A uniform national strategy requiring every hospital to implement comprehensive flood defences would demand investments between US$51.2 billion and US$97.4 billion to bring risks close to zero. In contrast, targeted, hospital- and city-specific measures achieve comparable risk reduction for US$8.2–11.9 billion.
Targeted approaches prioritise elevation of critical infrastructure, improved drainage at high-risk sites, backup power and communications, and nature-based solutions such as permeable surfaces or retention basins tailored to local hydrology. This differentiated strategy aligns investments with actual exposure levels rather than applying blanket standards.
Implications for Chinese Healthcare Infrastructure
China's hospital system has expanded dramatically in recent decades, yet many facilities were designed without full consideration of intensifying climate hazards. The modelling highlights opportunities to incorporate resilience during new construction and major renovations. University-affiliated teaching hospitals, which often lead in medical innovation and training, stand to benefit particularly from these insights as they model best practices for the broader sector.
Administrators can use the framework to conduct site-specific audits, prioritise capital projects, and integrate flood preparedness into emergency protocols. The findings also inform national health planning by quantifying how climate risks could strain insurance systems and workforce capacity.
Connections to Broader Urban Resilience Initiatives
China has pursued sponge city programmes since 2015 to enhance urban water absorption through green infrastructure. The hospital-focused study complements these efforts by demonstrating how sector-specific assessments can refine city-wide strategies. Hospitals located in pilot sponge cities may already possess partial protections, yet the projections indicate that additional measures will be necessary under future climate conditions.
International comparisons, such as assessments of Eastern Seaboard hospitals in the United States, reveal similar vulnerabilities, suggesting lessons from China's scale and data-driven approach could inform global practices in climate-resilient healthcare design.
Recommendations for Policymakers, Hospitals, and Researchers
Policymakers should support fine-scale risk mapping and allocate adaptation funding based on evidence rather than uniform mandates. Hospitals can begin by reviewing elevation data, drainage capacity, and backup systems while participating in municipal climate adaptation planning. Researchers in environmental science, public health, and engineering are encouraged to extend the modelling to other critical infrastructure sectors and refine projections with emerging climate data.
PhD programmes in climate adaptation, urban planning, and health systems research may find rich opportunities in applying similar methodologies elsewhere. Collaboration between earth system scientists and medical faculties can accelerate translation of findings into practice.
Photo by Jeffrey Zhang on Unsplash
Future Outlook and Research Needs
As climate projections evolve and urbanisation continues, iterative updates to hospital risk assessments will be essential. Integration of real-time monitoring, machine learning for flood forecasting, and socio-economic vulnerability layers could further enhance the framework. Long-term tracking of implemented adaptations will validate model predictions and identify effective interventions.
The study provides a replicable template for other nations facing comparable challenges, emphasising that targeted, data-informed strategies deliver superior returns on resilience investments compared with one-size-fits-all solutions.