DocumentCode
3606686
Title
Climate Adaptation Informatics: Water Stress on Power Production
Author
Ganguly, Auroop R. ; Kumar, Devashish ; Ganguli, Poulomi ; Short, Geoffrey ; Klausner, James
Author_Institution
Northeastern Univ., Boston, MA, USA
Volume
17
Issue
6
fYear
2015
Firstpage
53
Lastpage
60
Abstract
Resilience to nonstationarity and deep uncertainty is a prerequisite to water security. Stakeholder planning horizons typically extend to about 30 years in water quantity or quality management, flood or drought hazard resilience, or the water-energy-food-ecosystems nexus. Projections of stressors, such as population, land use, stability assumptions of technologies, infrastructures, and organizations, are relatively more credible at the nearer term. However, compared to longer lead times of mid- to end-century and beyond, climate adaptation challenges are more acute. Over 30-year horizons, the degree of nonstationarity is comparable to the overall uncertainty, which in turn is dominated by natural variability, especially at higher space-time resolutions. A case study with power production at risk in the US suggests that informed decisions could be possible despite nonstationarity and deep uncertainty.
Keywords
data handling; geophysics computing; power engineering computing; thermal power stations; thermoelectric power; water resources; at-risk power production; climate adaptation informatics; computational data sciences; thermoelectric power production; water security; water stress; Atmospheric measurements; Measurements; Meteorology; Scientific computing; Sociology; Water resources; Earth and atmospheric sciences; case studies in industry; planning; risk management; scientific computing; simulation; uncertainty;
fLanguage
English
Journal_Title
Computing in Science Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2015.106
Filename
7274236
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