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十二生肖

一 |

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

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.
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原标题：一场脱口秀带火ST洲际！股民这么好忽悠吗？摘要： 今天涨了撰文|蜜姐 刚刚过去的假期，一场几分钟的脱口秀表演，带火了一只股票，网友们戏称A股首支“脱口秀概念股”诞生。让人始料未及的是，原本以为是闹剧，但今天因为脱口秀节目上热搜的ST洲际，居然一度涨停了。截至今天（9月13日）收盘，当天涨了1.2%，收于2.53元/股。事情的起因要从9月11日说起。当天的《脱口秀大会》节目中，一位名为House的脱口秀演员House讲述了自己及家人的炒股经历。这个节目播出后引发了很多投资者的共鸣，比如，House开场提及的自己出生于一个“投资世家”，他父亲在他6岁的时候辞职后，全职炒股，结果是不是吊胃口的富可敌国，而是家里“起码有那么点资不抵债”。接下来就是影响此次ST洲际的，一段House说自己的炒股经历。概括来说，就是House称自己在银行工作了3年，获得了12万的积蓄，之后裸辞炒股。而自己买的第一只股票就大涨：第一天赚了3000元，第二天赚了5000元。客观来说，House的这次节目能火，在于他以夸张又合情理地方式描述出了散户投资者的心态。比如，在两天赚了8000块之后，不认为这是运气，而是今后人生的常态。

二 | 经历过2019—至今行情的投资者，对此感受恐怕颇深。

三 | 彼时，“吃药喝酒”行情大好，明星基金经理层出不穷，如今常被指业绩不佳的易方达的张坤，甚至有不少投资者用追星的方式来追他，到处主动为其宣传，形成“饭圈”。但现实是残酷的，House称自己后来亏损严重，甚至投入的12万元只剩下了两万五。经历了这些之后，他发现自己“不是追求高风险高回报的进取型投资者，我是那种既想要高回报同时又不接受本金出现任何损失的散户”。即便如此，作为散户的他还是不想止损，而只喜欢“梭哈”。从演出效果来看是相当成功的，House把普通投资者追涨杀跌的心理展示得淋淋尽致。但在节目中，他直接报出了投资的股票ST洲际的代号，没想到这只股票意外走红。发现舆论发酵后，脱口秀演员对此进行了澄清，称自己和家人目前并没有持有这支股票，也没有计划要投资。而ST洲际更是直接发布了澄清公告，称“公司生产经营未发生重大变化”。戏剧性的是，ST在9月13日开盘后一度涨停，从娱乐到真实的投资市场，有网友不仅发出概括：“股民这么好忽悠吗？” 公开报道中，有媒体引用了法律人士的观点，认为作为公众人物和公开演出，公布了具体的投资标的，应该不得编造、传播虚假信息或者误导性信息，扰乱证券市场。这次的事件虽然让人很意外，毕竟是讲亏钱的投资经历，居然也能让个股上涨，但也很具有教育意义。一方面，对于公开的节目或者公众人物会注意规避提及具体的个股，尤其是涉及可能是虚构创造的。另一方面，对于投资者和大众来说，也见识了“认识”的力量，被知道、被看见就可能被追捧，这种反常识的“韭菜”行为值得警惕。同时，但自己投资某家公司赚了一笔，或者一段时间内投资赚钱了，有点飘，甚至想全职炒股的时候，不妨再去看看这场脱口秀表演。两天赚8000块，就想着要实现自己人生的终极目标：“买它一套两室一厅”，得出“巴菲特就这么回事”的结论虽然都是段子，也是多少普通投资者赚钱后的心理写照。版权声明：本文系闺蜜财经创作，未经授权，禁止转载！如需转载，请获取授权。另，授权转载时还请在文初注明出处和作者，谢谢！欢迎关注“闺蜜财经”：闺蜜看财经，发现财富守护爱返回搜狐，查看更多责任编辑：

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劲爆大行情！美CPI高于预期震惊市场 美元暴拉180点、金融市场竞相“大跳水”_通胀_美国劳工部_我的网站

劲爆大行情！美CPI高于预期震惊市场美元暴拉180点、金融市场竞相“大跳水”_通胀_美国劳工部_我的网站