HR: 1340h
AN: IN13B-1217    [Abstracts]
TI: Interacting With A Near Real-Time Urban Digital Watershed Using Emerging Geospatial Web Technologies
AU: * Liu, Y
EM: yongliu@ncsa.uiuc.edu
AF: National Center for Supercomputing Applications, 1205 W Clark st., Urbana, IL 61801, United States
AU: Fazio, D J
EM: djfazio@usgs.gov
AF: U.S. Geological Survey, Illinois Water Science Center, 1201 W. University Ave. Suite 100, Urbana, IL 61801, United States
AU: Abdelzaher, T
EM: zaher@cs.uiuc.edu
AF: Department of Computer Science, Thomas M. Siebel Center for Computer Science, University of Illinois at Urbana-Champaign, 201 N Goodwin Ave, Urbana, IL 61801, United States
AU: Minsker, B
EM: minsker@uiuc.edu
AF: Department of Civil and Environmental Engineering, University of Illinois at Urbana- Champaign, 205 North Mathews Ave, Urbana, IL 61801, United States
AB: The value of real-time hydrologic data dissemination including river stage, streamflow, and precipitation for operational stormwater management efforts is particularly high for communities where flash flooding is common and costly. Ideally, such data would be presented within a watershed-scale geospatial context to portray a holistic view of the watershed. Local hydrologic sensor networks usually lack comprehensive integration with sensor networks managed by other agencies sharing the same watershed due to administrative, political, but mostly technical barriers. Recent efforts on providing unified access to hydrological data have concentrated on creating new SOAP-based web services and common data format (e.g. WaterML and Observation Data Model) for users to access the data (e.g. HIS and HydroSeek). Geospatial Web technology including OGC sensor web enablement (SWE), GeoRSS, Geo tags, Geospatial browsers such as Google Earth and Microsoft Virtual Earth and other location-based service tools provides possibilities for us to interact with a digital watershed in near-real-time. OGC SWE proposes a revolutionary concept towards a web-connected/controllable sensor networks. However, these efforts have not provided the capability to allow dynamic data integration/fusion among heterogeneous sources, data filtering and support for workflows or domain specific applications where both push and pull mode of retrieving data may be needed. We propose a light weight integration framework by extending SWE with open source Enterprise Service Bus (e.g., mule) as a backbone component to dynamically transform, transport, and integrate both heterogeneous sensor data sources and simulation model outputs. We will report our progress on building such framework where multi-agencies" sensor data and hydro-model outputs (with map layers) will be integrated and disseminated in a geospatial browser (e.g. Microsoft Virtual Earth). This is a collaborative project among NCSA, USGS Illinois Water Science Center, Computer Science Department at UIUC funded by the Adaptive Environmental Infrastructure Sensing and Information Systems initiative at UIUC.
DE: 1821 Floods
DE: 1848 Monitoring networks
DE: 1879 Watershed
DE: 1895 Instruments and techniques: monitoring
SC: Earth and Space Science Informatics [IN]
MN: 2007 Fall Meeting