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仅此一台！兰博基尼发布 Temerario Tricolore 特别定制版车型_我的网站

一 |      8 月 25 日消息，时隔 15 年，Tricolore 再次回归兰博基尼。兰博基尼近日借蒙特雷汽车周之机低调发布了全新的 Temerario Tricolore，这也是自 2011 年 Gallardo LP 550-2 Tricolore 之后，首款再次使用 Tricolore 名称的车型。    

    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.
。据了解，这款全球唯一的特别版车型由兰博基尼 Centro Stile 设计中心与 Ad Personam 个性化定制部门联合打造。

二 | 车身下半部分采用 Blu Marinus Shiny 蓝色涂装，上半部分则使用 Bianco Monocerus 白色。车顶、后视镜和轮毂则喷涂了 Glossy Nero Noctis 亮黑色漆面，并搭配红色刹车卡钳，为整车增添了一抹鲜艳的色彩。

三 | 更引人注目的是，新车的引擎盖上采用了一条绿色、白色和红色相间的条纹，灵感来自意大利国旗，这也是 Tricolore 名称的由来。它延续了初代 Tricolore 的设计元素，不过当年的 Gallardo LP 550-2 Tricolore 采用的是偏向一侧、贯穿整个车身的三色条纹。兰博基尼目前仅公布了几张内饰图片。Temerario Tricolore 的车内采用 Nero Ade 黑色内饰，并以 Rosso Alala 红色缝线进行点缀。

四 | 车门饰板上还加入了车辆轮廓图案和 Tricolore 专属标识，进一步凸显其特别版身份。动力方面，新车搭载熟悉的插电式混合动力系统，由一台双涡轮增压 4.0 升 V8 发动机、三台电动机、8 速双离合变速箱以及一块 3.8 kWh 电池组成。整套系统综合最大输出功率达到 907 马力（677 kW / 920 PS），峰值扭矩为 730 牛 · 米。得益于强大的动力性能，这款双门跑车从 0 加速至 100 公里 / 小时仅需 2.7 秒，最高时速可达 343 公里。

五 | 作为对比，15 年前的后驱版 Gallardo LP 550-2 Tricolore 搭载的是一台 5.2 升 V10 自然吸气发动机，最大功率为 542 马力（405 kW / 550 PS），峰值扭矩为 540 牛 · 米。换句话说，新一代 Temerario Tricolore 的最大功率相比前辈增加了约 365 马力，动力水平已经接近翻倍。

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Published on:14:23:26