中新网北京3月21日电 (记者 孙自法)国际著名学术期刊《自然》最新发表一篇环境研究论文称，研究人员开发出一个有望提高洪水预测准确率的人工智能(AI)模型。研究显示，该AI系统的准确率与当前的主流方法相当，甚至更好，有望对特大洪水事件更早做出预警。
研究人员表示，这一AI模型通过分析历史天气数据和河流流量信息，能够学习并预测洪水的发生时间和规模。该模型已经在多个国家和地区进行了测试，结果表明它能够提供比传统方法更早、更准确的洪水预警，为相关部门和民众争取到宝贵的应对时间。
此外，该AI模型还具有自学习能力，能够不断地从新的数据中学习，提高其预测精度。这不仅有助于提高洪水预警的时效性和准确性，还有助于更好地评估和减轻洪水可能带来的风险和损失。
英文标题：AI model improves flood prediction accuracy, aids earlier warning of major floods
英文关键词：Artificial Intelligence, Flood Forecasting, Early Warning Systems
英文新闻内容：
BEIJING, March 21 (Xinhua) — A new study published in the international journal Nature has revealed the development of an artificial intelligence (AI) model that has the potential to enhance the accuracy of flood predictions. The study shows that the AI system performs at least as well as current mainstream methods, and in some cases, even better, providing earlier warnings for major flood events.
Researchers involved in the study indicate that the model, by analyzing historical weather data and river flow information, has learned to predict the timing and scale of floods. It has been tested in multiple countries and regions, and the results demonstrate that it can offer more timely and accurate flood warnings, giving relevant departments and the public valuable time to prepare and respond.
Moreover, the AI model possesses self-learning capabilities, which enable it to continuously learn from new data and improve its prediction accuracy. This not only aids in enhancing the timeliness and accuracy of flood warnings but also helps to better assess and mitigate the risks and losses associated with floods.
【来源】http://www.chinanews.com/gj/2024/03-21/10184237.shtml
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