Building Three-Levels Management System and Mode for Flood Risk Map Based on Sharing Mechanism (PAP014398)
Xu Mei, Liu Shu
Flood risk management in mega cities
China is one of the most frequent flooding countries. In recent years, our country had transformed the concept and attitude to the flood from 'flood control' into 'flood management'. Flood risk management is the core of flood management. Flood risk maps will display the risk information to decision makers and the public and it will improve scientific decision-making and enhance public awareness of flood risk. So the Flood risk maps will be one of the no-structural infrastructure for flood management. In past 30 years, we have mapped about 90 flood risk regions being pilot. The results are scattered in each river basin commissions. This loose management can't help the flood risk maps being used widely and updated. In our country or in our department, the problem of maximizing the production and despising the management was always existed in past years. This resulted serious waste. According to the plan of MWR, large-scale mapping of flood risk will be launched in the near future, there will be much data and results. How to put these flood risk maps full functioned? It will be realized through the efficient management system and mode. In this paper, a kind of efficient Management system and mode for flood risk maps based on sharing mechanism will be raised and designed. Under the mode, three-levels management system will be built. The basic is province, the second is river basin and the third is national level. All the related data and results will be only saved, updated and managed by each province or river basin commissions themselves. In river basin level and national level system, no data are existed repeatedly. But all the flood risk maps can be shared by every user if authorized. And the other application system can be built based on the flood risk maps services. The most important difference with the traditional management mode is sharing results through services not data supplying. It has many advantages, such as high data safety, distributed saving, economical and concentrated management, opening service and so on. The goal is that all the flood risk maps will be efficiently managed and widely used.