### Abstract

In this paper, the Salt River basin possessing paleoflood study has been selected for flood estimations. By plotting the flood data on log-normal probability paper, it is found that the trend of high floods, whose peaks are greater than 2,400 m^{3}/s, deviates from the straight line fitted to the gauged flood data and the trend of these high floods is similar to that of the paleofloods. Thus, it is reasonable to assume that these high floods belong to different probability distributions than that of the rest. The distributions for the high values of gauged flood data and the paleoflood data are assessed by linear regression using their plotting positions on probability paper. Then, a Bayesian statistical approach is applied to combine the gauged flood data and paleoflood data. The floods estimated by the combined distribution are much lower than those obtained by the conventional methods. For example, the 100 year flood estimated by the combined distribution is about 60% of that obtained by a Pearson type III distribution.

Original language | English (US) |
---|---|

Title of host publication | Proceedings of the Annual Water Resources Planning and Management Conference |

Editors | E Loucks |

Publisher | ASCE |

Pages | 425-430 |

Number of pages | 6 |

State | Published - 1998 |

Event | Proceedings of the 1998 25th Annual Conference on Water Resources Planning and Management - Chicago, IL, USA Duration: Jun 7 1998 → Jun 10 1998 |

### Other

Other | Proceedings of the 1998 25th Annual Conference on Water Resources Planning and Management |
---|---|

City | Chicago, IL, USA |

Period | 6/7/98 → 6/10/98 |

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### ASJC Scopus subject areas

- Civil and Structural Engineering
- Water Science and Technology

### Cite this

*Proceedings of the Annual Water Resources Planning and Management Conference*(pp. 425-430). ASCE.

**Flood estimation by combining gauged and paleo data.** / Peng, C.; Duckstein, L.; Davis, D. R.; Baker, Victor.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the Annual Water Resources Planning and Management Conference.*ASCE, pp. 425-430, Proceedings of the 1998 25th Annual Conference on Water Resources Planning and Management, Chicago, IL, USA, 6/7/98.

}

TY - GEN

T1 - Flood estimation by combining gauged and paleo data

AU - Peng, C.

AU - Duckstein, L.

AU - Davis, D. R.

AU - Baker, Victor

PY - 1998

Y1 - 1998

N2 - In this paper, the Salt River basin possessing paleoflood study has been selected for flood estimations. By plotting the flood data on log-normal probability paper, it is found that the trend of high floods, whose peaks are greater than 2,400 m3/s, deviates from the straight line fitted to the gauged flood data and the trend of these high floods is similar to that of the paleofloods. Thus, it is reasonable to assume that these high floods belong to different probability distributions than that of the rest. The distributions for the high values of gauged flood data and the paleoflood data are assessed by linear regression using their plotting positions on probability paper. Then, a Bayesian statistical approach is applied to combine the gauged flood data and paleoflood data. The floods estimated by the combined distribution are much lower than those obtained by the conventional methods. For example, the 100 year flood estimated by the combined distribution is about 60% of that obtained by a Pearson type III distribution.

AB - In this paper, the Salt River basin possessing paleoflood study has been selected for flood estimations. By plotting the flood data on log-normal probability paper, it is found that the trend of high floods, whose peaks are greater than 2,400 m3/s, deviates from the straight line fitted to the gauged flood data and the trend of these high floods is similar to that of the paleofloods. Thus, it is reasonable to assume that these high floods belong to different probability distributions than that of the rest. The distributions for the high values of gauged flood data and the paleoflood data are assessed by linear regression using their plotting positions on probability paper. Then, a Bayesian statistical approach is applied to combine the gauged flood data and paleoflood data. The floods estimated by the combined distribution are much lower than those obtained by the conventional methods. For example, the 100 year flood estimated by the combined distribution is about 60% of that obtained by a Pearson type III distribution.

UR - http://www.scopus.com/inward/record.url?scp=0031698828&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031698828&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031698828

SP - 425

EP - 430

BT - Proceedings of the Annual Water Resources Planning and Management Conference

A2 - Loucks, E

PB - ASCE

ER -