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15 - Network Design

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 apply copulas to network evaluation and design. The network is considered to be comprised of rain gauges that are located in the southwest (seven gauges) and east central (three gauges) parts of Louisiana. To select proper rain gauges for network design, the kernel density is applied to model the marginal rainfall variables as that studied for rainfall analysis in Chapter 10. For the simplicity of illustrating the copula-based network design, meta-elliptical copulas (i.e., meta-Gaussian and meta-Student t) are applied to model the spatial dependence among rain gauges. The network design case study shows the appropriateness of the copula-based network design.

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Publisher: Cambridge University Press
Print publication year: 2019

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References

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  • Network Design
  • 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/10.1017/9781108565103.016
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  • Network Design
  • 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/10.1017/9781108565103.016
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.

  • Network Design
  • 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/10.1017/9781108565103.016
Available formats
×