HR: 11:51h
AN: SF12A-08    [Abstracts]
TI: New Methods For Hydrologic Data Retrieval, Analysis And Visualization
AU: * Jeong, S
EM: jeong@ce.berkeley.edu
AF: Department of Civil and Environmental Engineering, University of California Berkeley, 537 Davis Hall, University of California, Berkeley, CA 94720 United States
AU: Liang, X
EM: liang@ce.berkeley.edu
AF: Department of Civil and Environmental Engineering, University of California Berkeley, 537 Davis Hall, University of California, Berkeley, CA 94720 United States
AU: Liang, Y
EM: yaliang@vt.edu
AF: Alexandria Research Institute, Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, 206 N Washington Street, Suite 400, Alexandria, VA 22314 United States
AB: One of the most difficult tasks in initiating any research is to collect all relevant data. In the field of hydrology, the process of data search and retrieval occupies a large portion of one's research time because of the different formats, structure and increased data size. To address this issue, we developed a prototype system called the Hydrologic Data Management, Retrieval and Analysis System (HDMRAS) as part of an integrated effort of CUAHSI HIS activities. The prototype system is capable of querying, retrieving, integrating and visualizing hydrologic data with heterogeneous formats and large sizes produced from various agencies. Our prototype system demonstrates a metadata-based approach to an integrated data management system. With the metadata mechanism, diverse data formats and structures from many heterogeneous hydrologic data sources can be handled efficiently. The developed system includes four components, a metadata mechanism, a main application, add-on visualization and analysis toolkits, and data storage. A dynamic spatial query function that enables users to interactively locate data through a GIS-based environment will be added to the system based on the extensible features of the system. We will use a watershed boundary as an identifier to define a hydrologist's spatial domain and locate data relevant to it. In addition to the stand-alone prototype system, we are developing an online system of this kind which can mine, retrieve and visualize various data from disparate systems remotely through the Internet. The ideas, approaches, and system architecture involved in developing this prototype are general, and can be readily applied to other fields as well.
DE: 9810 New fields (not classifiable under other headings)
DE: 9820 Techniques applicable in three or more fields
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting