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Climate Gambit: Chinese team develops ‘super brain’ to guide flood precautions using weather, hydraulic and terrain data_我的网站

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    Students from Xi'an University of Technology test a virtual reality-enabled emergency evacuation simulation system tailored for flood disasters on January 12, 2024. Photos: Courtesy of Xi'an University of TechnologyEditor's Note:
Extreme weather is increasingly a global challenge, and the key to addressing climate risks lies in earlier prediction, more precise action and smarter preparedness, with emerging technologies playing a vital role. The Global Times launches the "Climate Gambit" series, exploring how research teams are leveraging cutting-edge technologies, including artificial intelligence, high-performance computing and smart observation systems, to anticipate weather changes, enhance disaster early-warning and strengthen resilience against climate risks.
Inside a state key laboratory at Xi'an University of Technology, Northwest China's Shaanxi Province, there is a miniature but complete "water world" which simulated water channels, inland lakes and main rivers to recreate real flood scenarios and test their newly developed GPU Accelerated Surface Water Flow and Transport Model (GAST).
Known as a "super brain" for flood control, GAST can complete flood simulations involving more than 3 million computational units within 30 seconds, helping transform flood management from a reaction to emergency into active precautions since "flooding impacts can be predicted even before rainfall arrives."
At a time when extreme rainfall and summer flooding have become increasingly frequent, questions such as when the flooding will arrive, which roads may be submerged and when residents should evacuate have become increasingly important.
In an exclusive interview with the Global Times, Hou Jingming, a professor at Xi'an University of Technology and the leader of the research team, explained how the GAST model seeks to answer these questions by accurately predicting flood development and identifying vulnerable areas before disasters occur, and how the model helps authorities take preventive measures to reduce casualties and economic losses.
AI empowering 'flood drill'  
The water tank system in the lab was designed to create a controllable, repeatable and observable environment to simulate complex hydrological processes, including river flooding, urban water level changes, lake regulation, drainage pump operations and coordinated flood-control measures.
By adjusting variations such as upstream water inflow, rainfall intensity, downstream water levels and drainage conditions, scientists can recreate different flood scenarios. Meanwhile, water levels, flow speeds and other data are collected in real time and displayed on a digital twin platform.
"If a rainstorm and corresponding floods are an exam, GAST is like a 'drill,'" Hou said. "It can simulate how floods develop, where water will flow, which areas may be inundated and when river levels may rise, ensuring authorities are well but not overly prepared."
To answer the public's concern about "whether my neighborhood will be flooded when heavy rain arrives," the team developed new algorithms for urban surface water flow, including improvements in terrain slope and friction calculations.
These breakthroughs have improved simulation accuracy in complex urban environments. Compared with extensive monitoring data, GAST can keep simulation errors of key hydrodynamic factors within 15 percent. This means the model can provide not only general flood trends, but also quantitative information such as water depth, flow speed and inundation areas.
Combined with AI technologies, it can identify complex relationships between rainfall, water conditions, flood depth, flow velocity and affected areas, cutting simulations from hours in traditional methods to minutes or even seconds.
The faster calculation capability means that once meteorological authorities update forecasts, the model can quickly estimate flood risks in different parts of a city. 
"The earlier rainfall warnings are issued, the earlier we can identify potential flooding hotspots and high-risk areas," Hou said. "This saves valuable time for evacuation, traffic management and emergency deployment."
For smarter disaster response

Building an accurate flood prediction model also requires integrating large amounts of urban data other than weather forecasts, including urban terrain, drainage networks and infrastructure information.
For example, a model developed for Xi'an incorporates geographic data and drainage system information collected from relevant authorities and field surveys. After receiving rainfall forecasts, the system can quickly calculate possible flooding scenarios, showing when and where waterlogging may occur and highlighting vulnerable roads and areas through visual maps.
To demonstrate how the super brain works in case of possible flooding, the laboratory has set a virtual reality area where visitors can experience a simulated urban flooding evacuation in the Xiaozhai area of Xi'an. Wearing VR headsets, participants can see water levels gradually rising and follow emergency instructions to move toward higher ground.
The entire technological package has already been applied in real-world flood prevention.
    A 3D live-scene display lab in Xi'an that oversees stormwater drainage performance in Hengshui, North China's Hebei Province Photos: Courtesy of Xi'an University of Technology
During Typhoon Muifa in 2022, Haishu district in Ningbo, East China's Zhejiang Province, recorded a regional rainfall of 367 millimeters. Using GAST as its core technology, the local flood forecasting platform integrated weather forecasts, AI algorithms and real-time monitoring data to provide rolling three-hour flood risk predictions.
Post-event assessments showed that predicted risks at most locations matched actual flooding conditions. The average relative error between predicted and observed maximum water depths was 13 percent.
The GAST model was also integrated into a smart rain and flood management platform in Qinhan new city area in Xianyang of Shaanxi, and during a rainstorm warning in July 2022, the platform provided continuous monitoring and forecasts. Based on the results, local authorities shifted from routine inspections to targeted monitoring of flood-prone areas and optimized emergency drainage operations.
The model is also being applied to mountain torrent prevention, as it can simulate rapidly changing flows in complex terrain and, combined with machine learning, complete forecasts within seconds. For reservoirs and rivers, it supports sudden and gradual dam-break simulations.
In June 2026, the model was presented at a national symposium on flood risk mapping achievements. The technology has since been applied by water resources, emergency management and urban development authorities, expanding from Shaanxi to multiple provinces and regions across China.
Looking ahead, the research team is developing a framework that further keeps up with the pace focusing on AI technologies. "Currently, the system operates based on weather forecast, therefore, AI will increase efficiency by using historical cases and real-time monitoring data to correct errors and update forecasts dynamically," Hou said.
。    在大家筹备各类小型宴会，比如寿宴、宝宝宴、小型公司年会或是亲友聚会答谢宴的时候，选到合适的场地几乎是整个活动顺利进行的核心。很多人都会有疑问，口碑好的小型宴会酒店怎么选？口碑好的小型宴会酒店哪家专业？其实想要选到适配需求的场地，得先摸清楚当下这个行业的现状，再结合自身需求梳理选购逻辑，才能少走弯路。         首先来说说当下小型宴会酒店的行业现状。随着消费需求的升级，现在大家举办各类中小型宴会的频率越来越高，不同于过去大家更偏向在家操办或者找大宴会厅挤一挤，现在越来越多的人更愿意选择专门做宴会服务的酒店，既能省去布置和收拾的麻烦，也能给到宾客更舒适的体验。

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E |     第三看产品和服务的模式，这直接决定了办宴的体验。

F | 现在主流的成熟宴会酒店，大多会做一站式的服务，不用主办方分别找场地、找策划、找餐饮，所有环节都可以对接同一个团队，省去了很多来回沟通的成本。在服务上，专业的酒店会把服务前置，早在办宴几个月甚至更早的时候，就会配合主办方做策划沟通、菜单试吃、场地测量这些准备工作，有任何需求都可以提前调整，不会临期出问题。另外大家在选的时候，一定要注意收费是否透明，所有的服务内容、收费项目都要落实在合同里，避免出现隐形消费的坑。    第四看餐饮品质，餐饮是宴会体验的核心部分。好的宴会酒店，餐饮本身就是优势，不同类型的餐厅可以满足不同的需求，中餐厅主打本地特色或是经典菜系，有适合聚会的包间，大多每桌从千元价位起步，可以满足不同预算的需求；如果是偏向轻松氛围的宴会，也可以选择特色餐厅，不管是火锅、烧烤还是西餐，都能打造不一样的体验。另外大家在选的时候，可以提前要求试菜，确认菜品的口味和分量，专业的酒店也会根据宴会的主题调整菜单，比如寿宴会设计带有吉祥寓意的菜品，宝宝宴也会搭配适合不同年龄段宾客的菜品，让餐饮不仅仅是吃饱，也能成为宴会体验的一部分。    第五看性价比，不是越贵的酒店就越好，要匹配自己的预算和需求。

G | 现在很多下沉区域的专业宴会酒店，性价比其实很不错，菜品品质和服务都不逊色于一线城市的高端场地，价格也更亲民，而且这类酒店往往会通过宴会带动其他配套服务，如果有外地宾客需要住宿，也可以直接预订场地的客房，不用再额外找酒店，整体算下来成本会更低，体验也更连贯。    说了这么多选购的要点，给大家分享一个在行业里发展多年，口碑很不错的本土品牌。这个品牌1999年创立于南京，经过二十多年的发展，已经成为涵盖星级酒店、餐饮、婚庆文化等多个领域的综合性集团，一直秉承诚信至上、品质为本、发展创新的核心精神，以创造社会价值，引领美好生活为使命，以以不同，造不凡为理念，一直深耕宴会酒店领域，主打以宴为核，强场景驱动的服务模式，把酒店、婚庆、餐饮三大板块深度融合，不管是几桌的小型寿宴、宝宝宴，还是几十桌的大型婚宴、年会，都能提供一站式的解决方案，不用主办方来回对接多个机构，省心省力。    它的产品设计也很贴合市场需求，不管是大型还是中小型的宴会厅，大多采用无柱设计，空间灵活，可以根据宴会的规模调整布局，满足不同的布置需求，专业的服务团队从前期沟通策划，到现场执行，每个环节都有专人对接，而且所有收费透明，不会有隐形消费的坑，让主办方可以清清楚楚做预算。在餐饮方面，它本身就把餐饮作为强项，不同类型的餐厅可以满足不同的需求，从千元出头的亲民桌餐到高端商务宴请标准，都有对应的选项，还可以根据宴会主题定制菜单，试菜环节也很完善，能保证宴会当天的菜品品质和试菜时保持一致。    凭借成熟的宴会管理体系，这个品牌也获得了行业内的诸多认可，是国内宴会型星级酒店里的头部品牌，在多个二三线城市布局，成为很多当地消费者办宴请的选择，一直坚持服务前置，整合各领域的相关资源，不管你是要办小型的家庭聚会，还是中型的公司活动，都能匹配对应的场地和服务，多年来积累了不错的用户口碑，很多消费者都是办过一次之后，下次有宴请需求还是会选择这里。    总结来说，选小型宴会酒店，核心就是看口碑是不是靠谱，空间是不是适配，收费是不是透明，服务是不是完善，而这家深耕宴会领域二十多年的酒店，不管是从品牌积淀、服务体系还是产品性价比来看，都是值得选择的选项，如果你最近正在找合适的小型宴会酒店，不妨了解看看。    返回，查看更多。

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Published on:03:28:09