Technical Papers
May 21, 2012

End-to-End Cyberinfrastructure for Decision-Making Support in Watershed Management

Publication: Journal of Water Resources Planning and Management
Volume 139, Issue 5

Abstract

Over the past decade, water-centric research has increasingly taken into consideration the interactions between the water cycle and the social, economic, and biogeophysical processes that drive watershed dynamics. In parallel, water management has made great strides in data sharing and collaborative modeling that support decision making through integrated planning and stakeholder involvement. Both research and management communities require data and simulation models that cover large spatial scales and workflows that enable investigations and decision making in real time with participation of multiple watershed actors. To efficiently accomplish their goals, these two communities are tapping into the capabilities of advanced cyberinfrastructure (CI) platforms that facilitate an understanding of watershed processes, knowledge management, visualization, interaction, and collaboration in multiple watershed science and engineering disciplines. This paper illustrates an implementation of an end-to-end CI system for understanding of the ecological threats, shifts in soil conservation practices, and public perception of environmental health with preservation of the economic benefits of agricultural production at the watershed scale. The systems were implemented in a 270km2 Clear Creek catchment in eastern Iowa.

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Acknowledgments

Most of the work presented in this paper was accomplished with funds provided through the National Science Foundation through the CBET-0607262 and CBET-0835607 grants. This support is greatly appreciated.

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 139Issue 5September 2013
Pages: 565 - 573

History

Received: Dec 2, 2011
Accepted: May 16, 2012
Published online: May 21, 2012
Discussion open until: Oct 21, 2012
Published in print: Sep 1, 2013

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Authors

Affiliations

Marian V. Muste [email protected]
M.ASCE
Research Engineer and Adjunct Professor, IIHR-Hydroscience and Engineering, Dept. of Civil and Environmental Engineering, Univ. of Iowa, Iowa City, IA 52242. E-mail: [email protected]
David A. Bennett
Professor, Dept. of Geography, Univ. of Iowa, Iowa City, IA 52242.
Silvia Secchi
Assistant Professor, Dept. of Agribusiness Economics, Southern Illinois Univ., Carbondale, IL 62901.
Jerald L. Schnoor
M.ASCE
Professor, Dept. of Civil and Environmental Engineering, Univ. of Iowa, Iowa City, IA 52242.
Andrew Kusiak
Professor, Dept. of Mechanical and Industrial Engineering, Univ. of Iowa, Iowa City, IA 52242.
Nicholas J. Arnold
Graduate Student, Dept. of Computer Science, Univ. of Iowa, Iowa City, IA 52242.
Sudipta K. Mishra [email protected]
S.M.ASCE
Ph.D. Candidate, IIHR-Hydroscience and Engineering, Dept. of Civil and Environmental Engineering, Univ. of Iowa, Iowa City, IA 52242 (corresponding author). E-mail: [email protected]
Deng Ding
Ph.D. Candidate, Dept. of Geography, Univ. of Iowa, Iowa City, IA 52242.
Umashanker Rapolu
Graduate Student, Dept. of Computer Science, Univ. of Iowa, Iowa City, IA 52242.

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