Nvidia Blog 10月22日 02:44
利用AI加速海岸洪水预测与保护
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为应对气候变化导致的海平面上升,美国沿海社区面临日益严峻的洪水风险。加州大学圣克鲁兹分校的Michael Beck教授团队利用NVIDIA GPU加速的先进可视化技术,模拟和绘制珊瑚礁、红树林等自然解决方案在降低洪水风险方面的效益。通过NVIDIA CUDA-X软件和RTX GPU,他们将洪水模拟时间大幅缩短,从而能更高效地进行全球范围的海岸洪水风险评估,并推动将自然生态系统纳入金融保险策略,以期更好地保护沿海社区。该研究成果有助于政府、非营利组织和金融机构更深入地理解风险,并为适应性策略提供数据支持。

🌊 **AI驱动的洪水可视化与风险评估**:研究团队利用NVIDIA GPU加速技术,能够生成高分辨率的海岸洪水模拟可视化,显著缩短了从CPU的数小时处理时间到GPU的约40分钟,甚至在多GPU集群下可以同时运行多个模拟。这使得他们能够更深入地理解洪水风险,并为政府、非营利组织和金融机构提供决策依据,帮助他们更好地规划和实施适应性策略。

🌳 **自然解决方案的效益量化**:该研究重点在于建模和量化珊瑚礁、红树林等基于自然的解决方案在降低洪水风险方面的价值。通过详细的模拟和可视化,研究人员能够展示这些生态系统如何作为天然屏障,有效减缓洪水带来的损害,从而为这些自然资产的保护和恢复提供有力论据,推动其在海岸防护中的应用。

💰 **将自然资产纳入金融保险**:为了激励珊瑚礁的保护,研究团队探索了基于其作为“自然基础设施”价值的保险模式。例如,在墨西哥的玛雅海岸,他们通过可视化展示了珊瑚礁在飓风中的作用,促使相关方投资了参数化保险政策,当风速超过特定阈值时,将触发赔付用于珊瑚礁的修复。这种模式正在加勒比海和夏威夷等地推广,确保风暴后有资金支持生态修复,进一步增强沿海社区的抵御能力。

Coastal communities in the U.S. have a 26% chance of flooding within a 30-year period. This percentage is expected to increase due to climate-change-driven sea-level rise, making these areas even more vulnerable.

Michael Beck, professor and director of the UC Santa Cruz Center for Coastal Climate Resilience, focuses on modeling and mapping the benefits of coral reefs and mangroves for reducing flood risk, which helps inform adaptation and preservation efforts.

Beck and his team produce detailed, NVIDIA GPU-accelerated visualizations of coastal flooding to help government agencies, nongovernmental organizations and financial organizations better understand flood risks and demonstrate how nature-based solutions can mitigate damages on shore.

“We view visualizations as fundamental to motivating action,” said Beck. “These are difficult problems revolving around people, some of them expensive to fix, so you’ve got to be able to visualize the solutions and ensure they’re going to work.”

To accelerate the simulations, the center uses NVIDIA CUDA-X software, including the cuPyNumeric library and nvfortran compiler, running on NVIDIA RTX GPUs awarded through the NVIDIA Academic Grant Program.

Image of a 2D flood model of Santa Cruz, California, rendered in Unreal Engine 5 and pixel streamed as an interactive application.

Accelerating Flood Mapping With NVIDIA GPUs 

Flood modeling starts with a question such as, “What would happen to Santa Cruz, California, in the event of a 100-year storm?”

Benefits of adaptation strategies in Capitola, California. The image shows flood hazard maps that are used to calculate risks and property-level economic benefits from adaptation strategies to increase protection benefits using seawalls or restored dunes and nearshore rocky reefs. Results from California 5th Climate Assessment (in review).

To answer that question, the research team uses simulation tools such as SFINCS and  feeds the results into the Unreal Engine 5 rendering engine to produce data-driven videos showing various flooding scenarios.

Beck’s team accelerated their flood risk models and visualizations from a process that originally took approximately six hours on CPU workloads to just about 40 minutes using a single NVIDIA RTX 6000 Ada Generation GPU. With the team’s cluster of four GPUs, they can now run four simulations simultaneously.

“We were able to reduce the computation by 3-4x, with some workloads being even faster,” said David Gutiérrez, senior coastal modeler at UC Santa Cruz’s Center for Coastal Climate Resilience. “This speedup gave us the capacity to run a sensitivity analysis beforehand and make sure we’re not making any assumptions or setting the wrong parameters.”

Less time spent on modeling and visualizing each site meant the researchers could set more ambitious, global goals for their project.

Digital Flood Mapping Goes Global

The team’s current endeavor is to map all small-island developing states globally — from Tonga to Trinidad and Tobago — before the COP30 climate change conference in November.

Still from a video of a 2D flood model of Saint Martin, France, rendered in Unreal Engine 5.

“The kind of high-resolution modeling that we’re doing is very tricky,” Beck said. “We’re trying to show not just weather and the problems that weather creates, but run scenarios with solutions.”

Put Your Money Where the Marine Life Is

One way to motivate coral reef preservation is by insuring them based on their value as natural infrastructure, capable of serving as a line of defense during climatic events.

This is already becoming a reality in places like the Mesoamerican Barrier Reef in Mexico, south of Cancun on the Mayan Riviera.

Through his work with The Nature Conservancy, Beck presented visualizations of reefs in the event of a hurricane to interested parties, including hotel owners along the coast, the Mexican government and World Bank Group.

These groups ended up investing in a parametric insurance policy to protect the coral reef, which stipulated that if the wind reached over 100 knots, a payout would be triggered to restore the damaged reef.

“To motivate action, you have to understand and visualize a bit more about the increasingly risky storm events that we’re facing right now, because of where they’re developing and the impacts of climate change,” said Beck.

Other regions throughout the Caribbean and Hawaii are also starting to adopt similar policies.

Insurance policies like this help ensure that funding is available to restore reefs after storms — protecting coastal communities against further, more severe flooding damage.

“You’ve got all these coral heads and the waves damage them, so you need to either take them to a nursery or cement them back on the reef,” Beck said. “Also, you need to get all the trash off that comes back out with the flood from the land — everything from fishing nets to refrigerators — that’s the flotsam and jetsam of our life.”

These researchers are now working toward modeling flooding across California’s coastal regions through a project called CoSMoS ADAPT.

The project’s primary goal is to strengthen the USGS’s Coastal Storm Modeling System (CoSMoS), which is the first toolkit for quantitative evaluation of the cost-effectiveness of the state’s coastal adaptation options, including nature-based solutions.

“CoSMoS predicts what risks will be now and into the future,” Beck said. “We’re adding the solutions that will reduce the risk — from dunes to sea walls and our reefs — and at a variety of levels, this is going to demand acceleration and heavy computation.”

Apply for an NVIDIA Academic Grant 

The NVIDIA Academic Grant Program is calling for research proposals now through Wednesday, Dec. 31, to advance work in three interest areas: generative AI and model development, generative AI alignment and inference, and robotics and edge AI. Full-time faculty members at accredited academic institutions are eligible to apply.

Learn more about the NVIDIA Academic Grant Program.

Main video above shows visualization of the data layers used in a 2D wave and flood model for assessment of reef and restoration benefits in Christiansted, a town in Saint Croix, one of the U.S. Virgin Islands.

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海岸洪水 气候变化 AI可视化 NVIDIA GPU 自然解决方案 珊瑚礁 红树林 风险评估 保险 Coastal Flooding Climate Change AI Visualization NVIDIA GPU Nature-Based Solutions Coral Reefs Mangroves Risk Assessment Insurance
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