S. H. Hosseini; M. Abbasizadeh; M.R. Khaleghi
Abstract
In regions with deficient or no data, it is necessary to apply indirect methods to estimate the peak flow. Regional flood analysis is the most accurate and reliable technique in such cases. One of the regional flood methods for flood analysis in arid and semi arid regions is Hybrid technique, which was ...
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In regions with deficient or no data, it is necessary to apply indirect methods to estimate the peak flow. Regional flood analysis is the most accurate and reliable technique in such cases. One of the regional flood methods for flood analysis in arid and semi arid regions is Hybrid technique, which was applied on data of Khorasan Razavi province watersheds to estimate the peak flow. Hybrid method based on station - year method which considers available statistics from all stations to overcome statistics shortage problem. Hybrid method consists of two sections. At first, the most important parameters including area, annual rainfall and height are determined using factor analysis. Annual peak flow was standardized based on an approximate factor and then approximate standard factor was improved based on combined regression and analysis frequency. The results showed that the lowest relative error for the models was related to 50-year return period while relative error increased in other return period. As the relative errors were 1.03 and 0.79, respectively in the return periods of 2 and 100 years. Therefore, according to results, Hybrid method is suitable for return periods 20 to 50 years in the study area.
v Payravand; ali Salajegheh; mohamad Mahdavi; mohamad ali Zare Chahouki
Volume 63, Issue 2 , September 2010, , Pages 131-18
Abstract
One of the most appropriate approaches for flood forecasting is using peak discharge data of hydrometric stations in each region. However, lack of such stations or short duration of data in most parts of the country, make it necessary to use some alternative methods in order to estimate the flood discharge ...
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One of the most appropriate approaches for flood forecasting is using peak discharge data of hydrometric stations in each region. However, lack of such stations or short duration of data in most parts of the country, make it necessary to use some alternative methods in order to estimate the flood discharge properly. One of these approaches is regional flood analysis method that in a region using observation discharge data in separate points, it calculates relevant regional flood models. These approaches give us possibility at a region without gauging station with similar and homogenous hydrological condition to estimate flood discharge for different return periods with acceptable accuracy. In this research three methods of regional flood analysis including index flood, multivariate regression and hybrid method were considered in 20 watersheds of central Alborz region. After taking into account, the hypothesis and limitations of each method, the results were compared with observed flood discharges using RMSE and MBE. Considering the hypothesis and validation of multiple regression model indicated it is not appropriate. Finally Index Flood method in return periods of 2, 5 and 10 years and hybrid method in return periods of 50 and 100 years proved higher accuracy in the whole region and no difference between these two methods in return period of 25 were shown.