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Hydrology, Volume 9, Issue 8

August 2022 - 22 articles

Cover Story: This work aims to involve water resource decision makers in the process of understanding and acknowledging the benefits of probabilistic predictions. Decision makers take risk-minimizing, no-regret decisions without any certainty of future events, and the dispersion of potential states due to the chaotic nature of atmospheric processes highly increases uncertainty. Thus, the uncertainty of future states, in the form of a predictive probability distribution, must be assessed using model forecasts adequately corrected to generate observations and projections into the future. Based on predictive distributions’ ability to encapsulate the best information on future events, users might then estimate “expected” benefits (or losses) and formulate planning/management strategies via optimizing them as Bayesian decision problems. View this paper
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Articles (22)

  • Article
  • Open Access
2 Citations
3,077 Views
15 Pages

Maximum Extreme Flow Estimations in Historical Hydrological Series under the Influence of Decadal Variations

  • Marco Antonio Jacomazzi,
  • Antonio Carlos Zuffo,
  • Monzur Alam Imteaz,
  • Vassiliki Terezinha Galvão Boulomytis,
  • Marcus Vinícius Galbetti and
  • Tais Arriero Shinma

The hypothesis of stationarity is a fundamental condition for the application of the statistical theory of extreme values, especially for climate variables. Decadal-scale fluctuations commonly affect maximum and minimum river discharges. Thus, the pr...

  • Article
  • Open Access
5 Citations
2,998 Views
16 Pages

Growing Crops in Arid, Drought-Prone Environments: Adaptation and Mitigation

  • Nicholas P. Sisto,
  • Sergei Severinov and
  • Gilberto Aboites Manrique

Drought poses significant risks to society, in particular irrigated-crop production, which accounts for a large share of global freshwater use. Given its key role in the production of food, feed and fiber crops, there exists a need for policy measure...

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Hydrology - ISSN 2306-5338