4.7 Editorial Material

DebatesPerspectives on socio-hydrology: Socio-hydrologic modeling: Tradeoffs, hypothesis testing, and validation

Journal

WATER RESOURCES RESEARCH
Volume 51, Issue 6, Pages 4806-4814

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2015WR017046

Keywords

socio-hydrology; coupled dynamics; hydrologic modeling

Funding

  1. Direct For Biological Sciences
  2. Division Of Environmental Biology [GRANTS:13997642] Funding Source: National Science Foundation
  3. Direct For Biological Sciences
  4. Div Of Biological Infrastructure [1052875] Funding Source: National Science Foundation
  5. Direct For Biological Sciences
  6. Div Of Biological Infrastructure [1639145, GRANTS:13818770] Funding Source: National Science Foundation
  7. Direct For Social, Behav & Economic Scie
  8. Divn Of Social and Economic Sciences [1360463, GRANTS:13812361] Funding Source: National Science Foundation
  9. Division Of Behavioral and Cognitive Sci
  10. Direct For Social, Behav & Economic Scie [1115009] Funding Source: National Science Foundation
  11. Division Of Environmental Biology
  12. Direct For Biological Sciences [1010495] Funding Source: National Science Foundation
  13. Divn Of Social and Economic Sciences
  14. Direct For Social, Behav & Economic Scie [1830752, GRANTS:13989946] Funding Source: National Science Foundation

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Socio-hydrology focuses on studying the dynamics and co-evolution of coupled human and water systems. Recently, several new socio-hydrologic models have been published that explore these dynamics, and these models offer unique opportunities to better understand these coupled systems and to understand how water problems evolve similarly in different regions. These models also offer challenges, as decisions need to be made by the modeler on trade-offs between generality, precision, and realism. In addition, traditional hydrologic model validation techniques, such as evaluating simulated streamflow, are insufficient, and new techniques must be developed. As socio-hydrology progresses, these models offer a robust, invaluable tool to test hypotheses about the relationships between aspects of coupled human-water systems. They will allow us to explore multiple working hypotheses to greatly expand insights and understanding of coupled socio-hydrologic systems.

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