Background

and Purpose: Increasingly frequent meteorological disasters have brought severe challenges that should be urgently handled in the sustainable development. However, meteorological data, loss data, social economic data and so forth relating to meteorological disasters rarely be effectively fused, failing to generate, rapidly and efficiently, economic losses and thus hindering the emergency management of disasters.

Methods

A new economic losses evaluation information system has been developed for monitoring severe rainfall and flooding disasters in cities. The data mining method, econometric regression model and input-output model are implemented in the system, on the basis of multi-source data including hourly rainfall, geographical conditions, historical and real-time disaster information, socioeconomic data, and defense countermeasure.

Results

Combined with the weather forecast information, this system can has the capability for reporting the real-time direct and indirect economic losses incurred by urban heavy rainfall and flooding disasters, automatically generating defense countermeasure reports for typical rainstorm and flooding points, and providing the spatial distribution of disasters.

Conclusions

Finally, the system is conducive to improving the ability to manage disaster emergencies and eventually reducing the economic losses from the disaster.

中文翻译：

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基于大数据融合的城市暴雨洪涝灾害经济损失评估新系统。

背景

目的：气象灾害越来越频繁，带来了严峻的挑战，应在可持续发展中予以紧急处理。然而，与气象灾害有关的气象数据，损失数据，社会经济数据等很少被有效地融合，无法迅速有效地产生经济损失，从而阻碍了灾害的应急管理。

方法

已经开发了一种新的经济损失评估信息系统，用于监视城市的强降雨和洪灾。该系统在多源数据的基础上实现了数据挖掘方法，计量经济回归模型和投入产出模型，这些数据包括每小时降雨量，地理条件，历史和实时灾害信息，社会经济数据以及防御对策。

结果

结合天气预报信息，该系统可以实时报告城市暴雨和洪水灾害造成的直接和间接经济损失，自动生成典型暴雨和洪水点的防御对策报告，并提供空间分布灾难。

结论

最后，该系统有利于提高管理突发事件的能力，并最终减少灾难造成的经济损失。