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在富力宏和亮星蓝色伴侣20 Pro发布后，华为为女性打造了一款“温度”手机。_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.
。1月10日下午，华为在北京推出了两款全新的Mate20 Pro配色手机。

二 | 目前，华为Mate 20系列有七种配色：亮黑、蓝宝石、樱桃红、翡翠、极光、芽红、亮星蓝。富来红和亮星蓝是华为为女性市场推出的新颜色。

三 | 据华为官方介绍，富莱红的设计灵感来源于象征温暖和浪漫的玫瑰，象征着精英女性成熟的魅力。

四 | 亮星蓝的色彩灵感来源于天音的亮星蓝，给人一种冷酷、空灵的视觉冲击，揭示出精英们理性、智慧的氛围。在活动现场，华为消费者手机产品线总裁何刚分享了这两种新颜色的初衷。何刚表示，两款全新的颜色，富来红和亮星蓝，都是为了希望手机不仅能带来最好的技术体验，还能承载消费者的情感需求，并与色彩对话，唤起高端用户的审美和精神共鸣。从高端商务属性到过去“女性关怀”的终极技术，华为Mate系列的大多数消费者都会与商务人士交往。事实上，Mate系列一直坚持“大屏幕”、“大电池”的设计理念。对于商业人士来说，这两点尤为重要。根据小编的观察，使用华为P系列的女性比使用华为Mate系列的女性多。其中一个原因是Mate系列的业务属性太重。

五 | 何刚昨天下午在记者招待会上还表示，前华为Mate系列70%是男性用户，缺乏对女性的“关怀”。事实上，女性对手机的要求更高。毕竟，手机是一种技术产品。男人更容易理解技术。例如，一台拥有双向泰坦的电脑会让你兴奋很长一段时间。女性对手机的需求往往比男性深，除了性能，她们还需要对手机的“感性”和“艺术”的理解和应用。对于手机制造商来说，这一部分通常是最困难的。如何制作女性用户喜欢的手机？如何让手机了解女人？从去年的P20系列开始，华为对“女性需求”有了更深的理解。去年3月，P20系列推出的Aurora渐变手机吸引了众多女性群体。自推出以来，华为的P20系列已在全球销售超过1600万台，其中近一半是女性用户。目前，有近800万女性用户使用华为P20手机。Mate20系列专为女性设计的樱桃粉金色更具杀伤力，甚至让许多男性爱上了这种颜色。

六 | 在评论区，许多读者写道：“我是一个喜欢这种配色的大男人。”除了漂亮的外观和出色的感觉手机，手机摄影，快速充电和亲密的应用也是女性用户最关心的地方手机。在这方面，华为手机一直都是强项，如徕卡散手、人工智能摄影师、AR屏幕翻译、后期阅读压手操作、卡路里识别等。这些配置或功能为女性用户的生活带来最大的便利。在这个系统中，华为甚至为女性用户创建了一个名为“皮肤爱”的应用程序。通过Aiskincare原有的技术，一键渗透肌肤，通过权威的护肤机构，打造出全面、个性化的护理方案。这些“小细节”让女性用户感到温暖。“红蓝知己”的全新配色，向精英团体Mate 20 Pro带来的“芙蓉红”和“亮星蓝”两种全新配色致敬。这两种新颜色采用了当前流行的渐变设计。这两种新颜色首次采用空间打印技术，实现了空间渐变色的效果和三维空间中光影色的效果。富来红充满时尚感，在高中表现女性的自信，而亮星蓝则增添了来自天堂和大自然的神秘。对于大多数人来说，手机对自己的“意义”往往与功能本身分离开来，就像我们会购买不同的手机外壳来展示自己，或者我们会选择一些利基品牌来展示我们的个性。对于精英人士（尤其是精英女性），他们也需要一部不同的手机来展示自己，来表达他们对世界的理解和对生活的态度。手机作为现代社会最不可或缺的个人物品，在展示精英女性品味和态度方面具有先天优势。伴侣20亲富莱红和亮星蓝带来了内涵和她们精神世界的心灵，红色代表了愿意被爱和关心的女人的心灵，蓝色代表智慧和宽容，富莱红和亮星蓝是她们的内在色彩。新颜色的背后是品牌的价值。华为手机发布的两种新颜色，更多的是对精英内心世界的挖掘和敬礼。早在2016年，华为就在P9和Mate 9手机上推出了“玛瑙红”和“TopAlan”配色。当时，这两款全新的配色方案为整个手机市场注入了新鲜血液，赢得了国内外媒体的一致好评。”从古至今，红蓝两色的CP“，在很大程度上，昨日发布的萌芽红蓝两色的星空图像更像是它们的精神延续。

七 | 这不仅仅是高端配置。近年来，华为在手机上的技术创新和配色创新十分明显，如华为P8的微光紫、P9陶瓷的白/玛瑙红、P10/P10 Plus的绿色和钻石雕刻技术、P20的极光等。

八 | 这些手机给我们留下了深刻的印象。作为全球第二大手机制造商，华为吸引了越来越多的用户。推荐阅读：现场照片：Mate 20 Pro Fulei Red/华星蓝图鉴赏华为，Mate 20 Pro Fulei Red New Color Match鉴赏华为：华为的辉煌“变脸”，“打造红蓝知己”：华为Mate 20 Pro Fulei Red，华星蓝全新配色正式发布。

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