Multi-source Geoscience Data And Model Integration And Sharing System Design And Implementation

Referencing the framework, service oriented and resource-oriented idea, a web-based integration and sharing system of muti-source heterogeneous geoscience data and model was established, based on multi-source site observation, remote sensing data in different scales and formats commonly used in earth science research. Except for the integration of meteorological, vegetation, Remote sensing evapotranspiration, land surface temperature, albedo and land use data, corresponding statistical and physical models often used in earth science research were also gathered, and techniques like computer network, distributed services, database management, model management and geographic information systems were adopted to establish a integration and sharing system of Muti-source Heterogeneous data and model and data analysis and model sharing service environment under the support of the system.In the system, data classification according to subject areas, application direction or models, and the basic unit of data for data management in system is dataset. Via the creation of data metadata, the associations between metadata and dataset were realized. The function of operations on data, calls to the model and web-based applications were respectively packaged as RService and Web Service in order to achieve distributed sharing of data and model. The small data files and large data files uploading techniques, database table identifiers technology were employed to ensure efficient data management.and relational and non-relational data association techniques were employed to ensure the reliability of the dataset managementConsidering requires of geological data analysis services and geo model sharing and application services, the Spring Framework architecture and Rserve program were used to package and release statistical analysis model like Mann-Kendall trend test and Pettitt change-point test, and Geo-physical model such as Optimal Vegetation Model, which formed the data analysis, data visualization services and application of geoscience models.Based on the preliminarily established system, the pretreatment, processing and integration of multi-source heterogeneous geoscience data is through the data services, this forms a relatively standardized system and create geoscience datasets include meteorology, remote sensing, land use and model results data, which can cover a certain range of time and space. System has the service of visualization analysis of the multi-source geoscience data and Geo-statistical and physical models. Accumulated the important basic data which is available for the current Earth science, While lay a solid foundation for other studies about Loess Plateau.Based on the services of datasets and models in established system, We carried out the study on the vegetation changes in the Loess Plateau. Collected meteorological, vegetation, remote sensing evapotranspiration, land surface temperature, albedo and land use data about Loess Plateau through the system and used the data survicees of system to achieve the data processing function like spatial interpolation, maximum value composite, regional average and geo-statistical analysis like linear trend analysis, partial correlation analysis, scatter plot analysis, Mann-Kendall trend test and Pettitt change-point test. Major conclusions of this study include:from 1961 to 2009, although there are temperature fluctuations but the overall trend showed a significant increase and the Loess Plateau temperature rise is mainly due to the increase in the maximum temperature; The average wind speed was significantly decreased and was in line with the magnitude of the reduction of national annual average wind speed in the past 50 years, but some areas are not identical with the overall trend of basin; Sunshine hours was significantly decreased, and trends within the region also presents mixed mode; Relative humidity showed an overall downward trend, which may be due to lead the 21st century monsoon weakening; Precipitation showed an overall downward trend, but generally after 1996 began to slow recovery; After the implementation of ecological construction, NDVI value of the middle of the study area from west to east stripe region showed a significant increasing trend from 2001 to 2012; The region average NDVI data of Loess Plateau appears variation around the year 1995; The Loess Plateau partial correlation between the NDVI data and potential evapotranspiration from 2000 to 2011 in the whole region shows partitioning features, but not significantly; Partial correlation between NDVI and precipitation in the eastern part of the study area showed differences between north and south, but in the space of central and western the differentiation is not obvious, the overall degree of correlation was not significant; The annual average NDVI and rainfall in space are in good agreement, but it is less consistent with the potential evapotranspiration in space, suggesting that higher spatial average state of vegetation in the Loess Plateau and the distribution of precipitation Relations.Before vegetation construction on the Loess Plateau, the trend of vegetation affected by temperature and precipitation trends and climate warming is one of the main of increasing vegetation cover before the construction. Water also restricted the growth of vegetation in the study area. Since the Loess Plateau region a higher proportion of arable land and there are still more common human activities, therefore, an important factor is the impact of human activities in the temporal and spatial variation of vegetation cover. Since the measures undertaken in vegetation ecology,in addition to wind speed is different from the outside of the steady state of other meteorological factors, the study area NDVI values increased very significantly. Vegetation coverage rate of increase was significantly increased compared to the previous, and the individual regions has increased significantly, to carry out more advanced agricultural technology and large-scale construction of vegetation cover is the main reason for the rise in this period. Increase vegetation cover also has some influence on the water and heat balance of the Loess Plateau, these effects can be reflected by changes in surface temperature and albedo. Study area 2001-2012 NDVI significantly increase growth may make surface roughness, surface color than unvegetated loess deepen, which leads to decreased surface albedo, surface energy obtained increases, increased vegetation coverage also leads to ET the amount of fat increases, so that the energy consumption is higher than the surface albedo decrease energy left in the ground, which caused a net energy consumption of surface temperature falling instead of rising.On this basis, according to the optimal vegetation model designed to predict the optimal vegetation program of Loess Plateau, and preliminary conducted a simulation of vegetation distribution in Yanhe River Basin in 2000.