Title : ( River instantaneous peak flow estimation using mean daily flow data )
Authors: Mohammad Taghi Dastorani , Ali Talebi , Jamile Salimi , Hirad Abghari ,Abstract
Estimation of the design flood flow for hydraulic structures is often performed adjusting probabilistic models to daily mean flow series. In most of the cases this may cause an underdesign of the structure capacity with possible risks of failure, because instantaneous peak flows may be considerably larger than daily averages. Therefore estimation of the instantaneous peak flows is often needed for simulation of the reservoir operation based on the hydraulic characteristics of the structures and the operation rules. Because there is often a lack of instantaneous flow data at a given site of interest, the peak flow has to be estimated. This paper develops a new ANN based method to estimate the instantaneous peak flow from mean daily flow data. This methodology was successfully applied to a series of flow information from gauging stations in Iran, with important improvements compared to the traditional methods available in the literature.
Keywords
, Peak flow, Daily flow, Estimation, Hydrology data, Flood flow, Hydraulic design@inproceedings{paperid:1037049,
author = {Dastorani, Mohammad Taghi and Ali Talebi and Jamile Salimi and Hirad Abghari},
title = {River instantaneous peak flow estimation using mean daily flow data},
booktitle = {9th International Conference on Hydroinformatics},
year = {2010},
location = {Tianjin},
keywords = {Peak flow; Daily flow; Estimation; Hydrology data; Flood flow; Hydraulic
design},
}
%0 Conference Proceedings
%T River instantaneous peak flow estimation using mean daily flow data
%A Dastorani, Mohammad Taghi
%A Ali Talebi
%A Jamile Salimi
%A Hirad Abghari
%J 9th International Conference on Hydroinformatics
%D 2010