Advances in Earth Science ›› 2010, Vol. 25 ›› Issue (3): 306-316. doi: 10.11867/j.issn.1001-8166.2010.03.0306

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Digital Heihe River Basin. 2: Data Integration

Li Xin,Wu Lizong,Ma Mingguo,Ge Yingchun,Ran Youhua,Wang Liangxu,Nan Zhuotong   

  1. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou  730000, China  
  • Received:2009-12-14 Revised:2010-01-23 Online:2010-03-10 Published:2010-03-10

Li Xin,Wu Lizong,Ma Mingguo,Ge Yingchun,Ran Youhua,Wang Liangxu,Nan Zhuotong. Digital Heihe River Basin. 2: Data Integration[J]. Advances in Earth Science, 2010, 25(3): 306-316.

Data integration is fundamentally important for the development, modification and verification of integrated watershed models and therefore is a key research topic in the watershed science. This paper provides an overview of data integration in the Digital Heihe River Basin research. First, the data integration is defined, which should have three basic characteristics as data integrity, accessibility and stewardship. The preparation of model data sets, which can be categorized into forcing data, parameter data and validation data from a viewpoint of supporting integrated watershed modeling, is also an important means of data integration. Secondly, it is introduced that the basic geographic data, various kinds of observation data, scientific experiment data, and existing model data sets of the Heihe River Basin have been systematically collected, and a comprehensive webbased information system of the Digital Heihe River Basin has been developed to support data distribution, with over 1000 GB of data available on the Internet for free downloading. Most of the data were archived with metadata and documentation when necessary. Thirdly, the preparation of model data sets in the Heihe River Basin is introduced. The statistical and dynamic methods for atmospheric data downscaling were developed. The new land cover map and soil map suitable for hydrological and ecological modeling were developed by data fusion method. At last, the paper clears the challenges and demands of data integration in the watershed science studies in the Heihe River Basin, and proposes that a more reliable and higher resolution model data sets needs to be developed to support the integrated watershed modeling.

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