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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Extreme events, natural variability and climate change : The importance of time series analysis for infrastructure design in the context of the national depa...
The importance of time series analysis for infrastructure design in the context of the national department of transport infrastructure in brazil
Author : PRISCILLA PAIVA DE MEDEIROS(1), ANA LUISA NUNES DE ALENCAR OSORIO(2) & RENATO SOUSA AMORIM(3)
nfrastructure projects, engineers and other professionals often do not take into account characteristics like randomness and homogeneity of precipitation data or possible trends due to climate or anthropogenic changes in the study area. Based on the identification of trends with a good level of reliability, the calculation and prediction of rain design must be more robust, resulting in infrastructure projects more resilient to external effects. The present study proposes to implement a routine of trend analysis of time series for use in National Department of Transport Infrastructure (DNIT) in Brazil, since the drainage design of a highway is essential to its proper functioning, whether in the design of surface drainage, culverts or bridges. For this purpose, this study implemented some tests: the non-parametric Mann-Kendall test and Sen's slope estimator to verify the absence of monotonic trend, the f-test and the t-test to check the stability of the variance and the mean and the first serial-correlation coefficient to verify the absence of persistence. At the end, the paper compares the calculation of rain design for a highway with and without considering the routines implemented, evaluating whether the resulting projects of infrastructure are significantly different from each other and what is the impact of trend analysis in the results.Form Required :
File Size : 439,170 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Extreme events, natural variability and climate change
Date Published : 28/08/2015
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