印度举办一个讲习班,利用AI和更好的数据共享加强洪水预报协调。 India holds a workshop to enhance flood forecasting coordination using AI and improved data sharing.

中央水委员会正在新德里举办为期一天的讲习班,以改善中央政府和州政府之间的洪水预报协调。 The Central Water Commission is holding a one-day workshop in New Delhi to improve flood forecasting coordination between central and state governments. 活动内容包括关于现有服务的讨论,如短距离和七天洪水咨询、集水建模和储油层作业,以及新的工具,如AI/ML应用、IMD的长距离降雨预报和山洪暴发预测。 The event features discussions on existing services like short-range and seven-day flood advisories, inundation modeling, and reservoir operations, alongside new tools such as AI/ML applications, extended-range rainfall forecasts from the IMD, and flash flood prediction. 各国将分享其预测努力和工作,以便与国家系统保持一致。 States will share their forecasting efforts and work on aligning with national systems. 届会还侧重于完善洪水和反侵蚀项目的详细项目报告准则,以提高质量和加快核准速度。 Sessions also focus on refining guidelines for Detailed Project Reports on flood and anti-erosion projects to improve quality and speed approvals. 讲习班在V.L.秘书的主持下开幕。 The workshop, inaugurated by Secretary V.L. Kantha Rao由化武公约主席Anupam Prasad担任主席,目的是加强印度各地的抗灾能力和气候适应性水管理。 Kantha Rao and chaired by CWC Chairman Anupam Prasad, aims to strengthen disaster resilience and climate-responsive water management across India.