• 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