Study On Huaihe River Basin Multi-source Data Fusion And The Application Development Of Prototype System

In recent years, China's spatial information industry is gradually moving towards mature and perfect along with the wide application of remote sensing technology, geographic information system (GIS) and global positioning system technology and the rapid development of computer network communication technology. Meanwhile, a variety of GIS applications have the growing demand for spatial data. Different departments and companies often acquire a lot of spatial data according to the industry's needs.Different objectives of the GIS application within different sectors result in a large number of satellite remote sensing images, topographic maps, and various thematic maps used in different industries. This inevitably leads to duplication of data. Thus, the spatial data which are in the same area and with the same scale may use different spatial data standards and different geographic data models, while there may be various statistical calibers in the same statistics due to different statistical time and different statistical departments. Therefore, a number of ambiguities are resulted in the same class of data, such as the semantic differences, the spatial and temporal differences, the scale differences, and spatial reference alienation. The ambiguity is clearly not conducive to information sharing and multi-source data fusion.The Huaihe River subject research on the controlling and harnessing of water pollution as a state water special project requires a lot of spatial data and attribute data. Therefore, it is a key to the subject research to eliminate the ambiguity between the various data sources, integrate the multi-source data, and manage the data with different sources and different spatial and temporal characteristics in a unified way so as to put the data into effective application as fast as possible. Take data fusion as the starting point, this paper conducts an exploratory study in such aspects as the standardization of data, vector data fusion, the association of spatial data and attribute data, and time serial data fusion.The main research contents and innovations are as follows:1.To collect the required data sources in the comprehensive management of the Huaihe River Water Environment and sort out the data according to the classification. To conduct a comprehensive analysis of the problems of the data and put forward a reasonable and effective solution.2. According to the characteristics of the Huaihe River Basin multi-source data, the corresponding coding systems are designed for different types of data. The metadata framework of the Huaihe River Basin multi-source data is constructed based on this coding system, and the multi-source data within the basin are described under a unified data framework, which achieves a dynamic association of spatial data and attribute data, and the initial implementation of the multi-source data standardization and fusion within the basin.3.The design and development of the comprehensive management system of the Huaihe River Water Environment provide the multi-source data within the watershed with scientific, systematic, and visual management tools for analysis and decision.In support of this platform, besides the processing of the standardization of the data, the query and statistics of the multi-source spatial data and attribute data, and other related spatial analysis and visualization capabilities are realized.