近日,国际知名科学期刊《自然》(Nature)发表了一篇由Google Research团队主导的研究论文,揭示了一项重大突破:人工智能(AI)模型能够提前7天准确预测未监测流域的洪水情况。这项创新工作由Grey Nearing领导的洪水预测团队完成,他们利用全球5680个测量仪的数据训练AI模型,使其能够预测那些尚未安装测量设备的流域在未来7天内的日径流变化。

研究团队在测试中将AI模型与当前全球领先的洪水预警系统——全球洪水预警系统(GloFAS)进行了对比。结果显示,该AI模型在同日预测准确率上与GloFAS相当,甚至在某些情况下表现出更高精度。这一成果意味着洪水预警的准确性和覆盖面将得到显著提升,对于防范和减轻全球洪水灾害具有重大意义。

论文标题为“全球未监测流域的极端洪水预测”(Global prediction of extreme floods in ungauged watersheds),其发表在《自然》杂志上,标志着AI技术在环境科学和灾害预警领域的应用迈出了重要一步。这一创新将有助于提前预警潜在的洪水灾害,为全球各地的应急响应和灾备工作提供强有力的支持。

英语如下:

**News Title:** “Google Research AI Model Breaks Record: Accurately Predicting Undetected River Floods up to 7 Days in Advance”

**Keywords:** Google AI, flood prediction, Nature paper

**News Content:** Recently, the renowned scientific journal *Nature* published a research paper led by the Google Research team, unveiling a major breakthrough: an Artificial Intelligence (AI) model can precisely forecast floods in unmonitored river basins up to seven days ahead of time. This innovative work was carried out by the flood prediction team led by Grey Nearing, which trained the AI model using data from 5,680 global gauges to enable it to predict daily streamflow changes in watersheds without monitoring equipment for the upcoming week.

The research team compared the AI model with the current global leader in flood warning systems, the Global Flood Awareness System (GloFAS). The results showed that the AI model was comparable to GloFAS in same-day prediction accuracy, and in some instances, it demonstrated even higher precision. This achievement signifies a significant improvement in flood warning accuracy and coverage, holding great importance for flood risk mitigation worldwide.

Titled “Global prediction of extreme floods in ungauged watersheds,” the paper, published in *Nature*, marks a crucial step in the application of AI technology in environmental science and disaster warning. This innovation will contribute to early warnings of potential flood disasters, providing strong support for emergency response and disaster preparedness efforts globally.

【来源】https://mp.weixin.qq.com/s/GoOPqLtdYvPv3_no7GJUJQ

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