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DatoValore
TitleIdentifying a reliable method for estimating suspended sediment load in a temporary river system
AbstractSampling strategies and methods used for estimating load can lead to large uncertainties in suspended sediment transport quantification, especially in rivers with high variability in streamflow. The aim of this paper is to evaluate suspended sediment load, using a number of direct estimation techniques, in order to find a suitable method for temporary river systems and to assess the uncertainty associated with load estimation, due to the specific method applied. One year of continuous measurement of flow, and discrete sampling (n=216) of suspended sediment concentrations, taken from 2010 to 2011 in the Celone River (SE, Italy), were used to estimate annual load. Averaging, ratio and regression estimator methods were applied to the entire dataset, and to subsets of data, to calculate the load. The results show a wide range of values, from 220 to 1123 t km-2 yr-1, with respect to the applied suspended sediment load estimation techniques. Averaging methods resulted biased. Sediment rating curves underestimated load, while, if the back-transformation bias correction was used, load was overestimated. The ratio methods generally overestimate load. Increased precision and accuracy was achieved through applying data stratification, based on flow regime and seasonality. After applying three different flow regime stratifications, the annual load ranged from 240 to 606 t km-2 yr-1 and, using seasonal stratification, from 258 to 974 t km-2 yr-1. It seems that ratio estimator methods, and the regression equations applied to the stratification on a flow regime basis, are more suitable for estimating load in temporary, flashy streams.
SourceCatena (Cremling.) 165, pp. 442–453
KeywordsLoad estimation techniquesStratification of dataSuspended sediment loadTemporary streamUncertainty
JournalCatena (Cremling.)
EditorElsevier Science, Cremlingen, Paesi Bassi
Year2018
TypeArticolo in rivista
DOI10.1016/j.catena.2018.02.015
AuthorsDe Girolamo, A. M.; Di Pillo, R.; Lo Porto, A.; Todisco, M. T.; Barca, E.
Text396741 2018 10.1016/j.catena.2018.02.015 Scopus 2 s2.0 85042670440 ISI Web of Science WOS WOS 000430994900044 Load estimation techniques Stratification of data Suspended sediment load Temporary stream Uncertainty Identifying a reliable method for estimating suspended sediment load in a temporary river system De Girolamo, A. M.; Di Pillo, R.; Lo Porto, A.; Todisco, M. T.; Barca, E. Istituto di Ricerca Sulle Acque, Bari; Universita degli Studi dell Aquila Sampling strategies and methods used for estimating load can lead to large uncertainties in suspended sediment transport quantification, especially in rivers with high variability in streamflow. The aim of this paper is to evaluate suspended sediment load, using a number of direct estimation techniques, in order to find a suitable method for temporary river systems and to assess the uncertainty associated with load estimation, due to the specific method applied. One year of continuous measurement of flow, and discrete sampling n=216 of suspended sediment concentrations, taken from 2010 to 2011 in the Celone River SE, Italy , were used to estimate annual load. Averaging, ratio and regression estimator methods were applied to the entire dataset, and to subsets of data, to calculate the load. The results show a wide range of values, from 220 to 1123 t km 2 yr 1, with respect to the applied suspended sediment load estimation techniques. Averaging methods resulted biased. Sediment rating curves underestimated load, while, if the back transformation bias correction was used, load was overestimated. The ratio methods generally overestimate load. Increased precision and accuracy was achieved through applying data stratification, based on flow regime and seasonality. After applying three different flow regime stratifications, the annual load ranged from 240 to 606 t km 2 yr 1 and, using seasonal stratification, from 258 to 974 t km 2 yr 1. It seems that ratio estimator methods, and the regression equations applied to the stratification on a flow regime basis, are more suitable for estimating load in temporary, flashy streams. 165 Published version http //www.scopus.com/record/display.url eid=2 s2.0 85042670440 origin=inward Identifying a reliable method for estimating suspended sediment load in a temporary river system 04_no.pdf Articolo in rivista Elsevier Science 0341 8162 Catena Cremling. Catena Cremling. Catena Cremling. Catena. Cremling. Catena Amsterdam Cremling. Catena Giessen Cremling. antonio.loporto LO PORTO ANTONIO annamaria.degirolamo DE GIROLAMO ANNA MARIA emanuele.barca BARCA EMANUELE