大数据灾害预测与警情流转机制

Study on Hazard Prediction and Warning Signal Spreading with Large Dataset

经济4.0时代的大数据灾害预测与警情流转机制具有提高预警正效率、发掘预警客观规律、增加预警精细度等特殊优势。实际运作过程中暴露出原始数据量值偏低、灾害预测误差明显和警情发布错漏百出等严重影响有序预警的诸多风险。亟待通过建立预警阈值标准体系与交互共享系统、构筑相关法律保障体系以及创设预警人力资源平台等举措形成科学高效的大数据灾害预警框架。

Hazard prediction and warning signal spreading with large dataset in Economy 4.0 have advantages in improving efficiency, mining regularities and increasing accuracy of hazard prediction. There are many risks that include the lower total information, the error hazard prediction, and the howler warning signal dissemination. It is urgent to form a scientific and efficient framework of hazard prediction and warning signal spreading with large dataset by establishing the mass threshold standard system, improving the sharing system of hazard prediction information, conducting the legal protective mechanism of hazard prediction and creating the human resource platform, etc.