Title
Uncertainty in suspended sediment load estimates for mountain rivers. Case of study of central andes in Peru
Date Issued
01 January 2013
Access level
open access
Resource Type
conference paper
Author(s)
Gálvez C.
Salinas F.
Collas M.
Institut de Recherche Pour le Développement
Publisher(s)
American Society of Civil Engineers
Abstract
This study evaluates the uncertainty in the estimation of annual and monthly sediment flows in four mountain basins of the Pacific Ocean in Peru. For this end, samples at different time scales (hourly, daily, and monthly) were recorded. The database was broken down into a numerical base to simulate several sampling frequencies. From these timing frequencies, the annual and monthly flow was computed. Likewise, we compare the observed and simulated data, calculating the degree of uncertainty using statistical tests. The results for the 25 and 75 percentiles show that there is a high temporal variability in these Andean watersheds, whose strategy of measurement of solid flows can vary from six to 12 days, thus underestimating ~ 20% annually. While for estimating suspended sediment yield (SY) to a monthly time step in the rainy season (December to May), a sampling frequency between 1-5 days, which would lead to a maximum error of ± 40% being needed. However, for the dry season (June to September), the sampling can be done one time per month for an error of ± 45%, which is less than 2% in an annual balance. Finally, the results show that the sampling frequency values mentioned above should be reduced to half, for exceptional events (rainy season) where the annual error estimate is around 300%. © 2013 American Society of Civil Engineers.
Start page
3216
End page
3225
Language
English
OCDE Knowledge area
Oceanografía, Hidrología, Recursos hídricos
Geología
Subjects
Scopus EID
2-s2.0-84887466505
ISBN of the container
978-078441294-7
Conference
World Environmental and Water Resources Congress 2013: Showcasing the Future - Proceedings of the 2013 Congress -
Sources of information:
Directorio de Producción Científica
Scopus