Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)

Carr, Timothy R. ; White, Scott W.

The University of Kansas Center for Research Inc.

关键词: 99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Carbon Sinks;    Carbon Dioxide;    Kansas;    Illinois;   

DOI  :  10.2172/881988
RP-ID  :  none
RP-ID  :  FC26-00NT40936
RP-ID  :  881988

美国|英语

来源: UNT Digital Library

【 摘 要 】

This annual report describes progress of the project entitled ''Midcontinent Interactive Digital Carbon Atlas and Relational Database (MIDCARB)''. This project, funded by the Department of Energy, is a cooperative project that assembles a consortium of five states (Indiana, Illinois, Kansas, Kentucky and Ohio) to construct an online distributed Relational Database Management System (RDBMS) and Geographic Information System (GIS) covering aspects of carbon dioxide geologic sequestration (http://www.midcarb.org). The system links the five states in the consortium into a coordinated regional database system consisting of datasets useful to industry, regulators and the public. The project is working to provide advanced distributed computing solutions to link database servers across the five states into a single system where data is maintained at the local level but is accessed through a single Web portal and can be queried, assembled, analyzed and displayed. Each individual state has strengths in data gathering, data manipulation and data display, including GIS mapping, custom application development, web development, and database design. Sharing of expertise provides the critical mass of technical expertise to improve CO{sub 2} databases and data access in all states. This project improves the flow of data across servers in the five states and increases the amount and quality of available digital data. The MIDCARB project is developing improved online tools to provide real-time display and analyze CO{sub 2} sequestration data. The system links together data from sources, sinks and transportation within a spatial database that can be queried online. Visualization of high quality and current data can assist decision makers by providing access to common sets of high quality data in a consistent manner.