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Generation of Daily Synthetic Series of Inflow Volume to the Las Cruces Dam, Nay., Mexico, Using the Svanidze Method

8 pagesPublished: September 20, 2018

Abstract

The generation of synthetic series is important for simulations of the behavior in the long term of a reservoir or systems of them. The Svanidze method is easy to use to generate periodic time series for a selected period of time (monthly, fortnightly, weekly). Compared with other methods (eg PAR, PARMA) this method does not require a normal distribution assumption for the series. In this work the Svanidze method was applied to obtain synthetic series of the daily inflow volume to the Las Cruces hydroelectric project, located in the state of Nayarit, Mexico; with this method we achieve the objective of reproducing the behavior of the historical series at least in its first moment (the mean). In addition, similar correlation coefficient are observed from one day to the next with respect to what happened historically.

Keyphrases: Correlation coefficient., Daily inflow volumen., Las Cruces Dam Nay., Svanidze method., Synthetic series.

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2170--2177

Links:
BibTeX entry
@inproceedings{HIC2018:Generation_of_Daily_Synthetic,
  author    = {Itzel Velazquez and Maritza Arganis and Ram\textbackslash{}'on Dom\textbackslash{}'Inguez Mora and Rosalva Mendoza Ram\textbackslash{}'irez and Eliseo Carrizosa Elizondo},
  title     = {Generation of Daily Synthetic Series of Inflow Volume to the Las Cruces Dam, Nay., Mexico, Using the Svanidze Method},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  pages     = {2170--2177},
  year      = {2018},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {https://easychair.org/publications/paper/L9Zp},
  doi       = {10.29007/2pj3}}
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