Standard error estimation of regional regression method used in Nepal for hydrological data analysis
Shrestha, Suraj (2017)
Shrestha, Suraj
Metropolia Ammattikorkeakoulu
2017
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201701131344
https://urn.fi/URN:NBN:fi:amk-201701131344
Tiivistelmä
Hydrological studies are made for various water related projects; hydropower is one of the sectors that require hydrological studies. There are number of ungauged sites in Nepal where there is no hydrological station. The regional regression methods for hydrological studies were developed by Department of Hydrology and Meteorology jointly with Water and Energy Commission Secretariat with limited information of hydrology. The equation has been used in past for the hydrological studies of ungauged sites.
In this thesis, regression models were developed using the historical hydrological data available in Hydrological estimation in Nepal report and the standard error was estimated for each model. The statistical analysis was done using R software. R is a free software environment for statistical computing and graphics.
The topographical factor of Nepal also supports the fact that these models are not reliable for all the river conditions. There are rivers that are above 3000 m and elevation only cannot be a single factor to influence the hydrology. The results of the thesis suggest there must be specification for the use of these formulas in future and establishment of more hydrological station, updating daily data can be done for the better hydrological studies
In this thesis, regression models were developed using the historical hydrological data available in Hydrological estimation in Nepal report and the standard error was estimated for each model. The statistical analysis was done using R software. R is a free software environment for statistical computing and graphics.
The topographical factor of Nepal also supports the fact that these models are not reliable for all the river conditions. There are rivers that are above 3000 m and elevation only cannot be a single factor to influence the hydrology. The results of the thesis suggest there must be specification for the use of these formulas in future and establishment of more hydrological station, updating daily data can be done for the better hydrological studies