The Service Oriented Regional Seismic Data Sharing Platform Research

President Hu Jintao pointed out on the bicameral conference that forecastnatural disaster, prevent and mitigate disasters should be considered as a significantwork related to economic and social development, we should do it well. Moreover,he proposed that the further direction of the development of disaster prevention andmitigation is: Enhance the capability of monitoring disaster based on strengtheningdisaster research, study the relationship between disasters and social developmentdeeply, accelerate the conversion of the technology achievement such as remotesensing, geographic information technology, and integrate various types of scientificdata to contribute to disaster prevention and mitigation. Earthquake science data isone of the most important fundamental data during many types of disaster preventionand mitigation efforts. As a result take full advantage of earthquake science data isthe key of seismic information construction work.Decades, it has been formed a relatively complete earthquake informationmonitoring system in Shanghai, recording a large number earthquake science data.For a long time, sharing construction of earthquake science data is always a difficultproblem to earthquake workers because its temporality, spatiality,comprehensiveness, massive information and multi-source acquisition. As a result,how to play the effectiveness of earthquake science data resources, to make theearthquake science data providing information services more intuitive and moreconvenient to, as government management decision support, become the futureearthquake scientific research work content.In this paper, we describe the research background of sharing platform, theissues and the status quo of the scientific data sharing, Shanghai earthquake sciencedata sharing content based on the subject: relying on “Shanghai Earthquake ScienceData Sharing Platform”, we make innovations as follows:1. Build sharing platform standard system Classify users of earthquake science data sharing platform, give a data standardto adapt Shanghai earthquake science data sharing system description, and give someinstructions in taking the service standard and data standard as an example. Standardsharing platform as the foundation, construction and management of thedevelopment and use of the premise, the running service protection, promotion andapplication support, to ensure the basic, strategic information resources forsustainable significance.2, Set up a sharing platformOn the basis of standardized construction, according to the overall goals of theShanghai earthquake science data sharing platform, we built Shanghai EarthquakeScience Data Sharing Platform based on Shanghai earthquake science by integratingof state-of-the-art contemporary SOA, B/S, GIS technology. This platform has amulti-disciplinary departments, cross-level, cross-platform, high multiplexing, highpolymerization, low technology and many other features.3. The development of a regional earthquake science data service functions①The interactive operation of the seismic information, the user can drawearthquake waveform based on seismic data online;②To draw seismic mapsearthquake catalog under the shared platform included the use of GIS technologyonline;③Developed calculated based on the strong motion data of groundvibration response spectrum analysis and is coseismal diagram shows the function;④Realized through secondary processing of high-resolution remote sensing imagesand electronic maps, vector analysis of some of the buildings of Shanghai;⑤NOAA satellite data on surface and ocean surface brightness temperature inversion;⑥The use of remote sensing images of buildings shadow building height.4. Optimized and improved algorithm of seismic data services①Strong motion data, soil material, soil shear wave speed the development ofground motion response calculation steps. Calculate the response spectrum of theexact method, along with the increase0tin deviation from the theoretical pole coordinates, resulting in the simulated transfer function and the theoretical transferfunction of the resonance frequency does not coincide, generating a phase erroroptimization.②Statistical average method to calculate the length of the shadow Mperpendicular to the main direction of the building in remote sensing image, adjustthe height of the sun angle and solar azimuthAs, calculated building the actualheight H. The results showed that this use of the statistical image target distance tocalculate the length of the shadow of the method are not only easy to implement, butbetter able to reduce the error.Although this article has made some achievements, there are still somedeficiencies in the sharing platform, for instance, the application of services, searchcapabilities and value-added services, earthquake cloud improvements.