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13 - Drought Analysis

from Part Two - Applications

Published online by Cambridge University Press:  03 January 2019

Lan Zhang
Affiliation:
Texas A & M University
V. P. Singh
Affiliation:
Texas A & M University
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Summary

In this chapter, we focus on the copula applications to at-site bivariate/trivariate drought analysis. In a case study, drought variables are separated from long-term daily streamflow series, i.e., drought severity, drought duration, drought interarrival time, and maximum drought intensity. Drought severity and duration are applied for bivariate drought frequency analysis. Drought severity, duration, and maximum intensity are applied for trivariate drought frequency analysis. The Archimedean, meta-elliptical, and vine copulas are adopted for the bivariate/trivariate analyses. The case study shows that the copula approach may be properly applied for drought analysis.

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Publisher: Cambridge University Press
Print publication year: 2019

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References

References

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  • Drought Analysis
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.014
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  • Drought Analysis
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.014
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Drought Analysis
  • Lan Zhang, Texas A & M University, V. P. Singh, Texas A & M University
  • Book: Copulas and their Applications in Water Resources Engineering
  • Online publication: 03 January 2019
  • Chapter DOI: https://doi.org/10.1017/9781108565103.014
Available formats
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