Analysis of correlation between rainfall and river water level in the short term

Ayuso, Fernando (2014) Analysis of correlation between rainfall and river water level in the short term. Diploma thesis, Dublin, National College of Ireland.

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This research falls into the area of study of hydrology, specifically analyses’ the correlation between rainfall and river water levels in the short term.

Hydrology has been considered a black art for years (Buras, 1997), however with the increased number of weather stations, river gauge stations and the easy availability of the data they produce it is becoming more feasible to unveil that black box of hydrology.

For this analysis rainfall weather data has been analysed with river water levels to find out the relationship in time between these two pieces of data.

This study is a data dive approach that explains the relationship using the rainfall data as an input and the river level gauge metrics as an output, explaining what happens in between using R, time series, and cross correlation.

The study explains the lag between the two variables, how long it takes rain to have an effect on the river water level and the measure of this effect over time, limiting the explanation of this correlation to short term as is stated in the scope of this project.

For the purpose of this study data from the Arnoia river in Spain has been used revealing that rainfall in that basin takes between 23.3 and 37 hours to affect the river at the highest point of the influence.

This study has produced a set of R functions to perform this study in other rivers.

Item Type: Thesis (Diploma)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Higher Diploma in Science in Data Analytics
Date Deposited: 15 Dec 2014 10:56
Last Modified: 15 Dec 2014 10:57

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