An erosion estimation technique was developed in this study based on turbid
ity and sediment sampling data in a small catchment in South Australia. Sev
eral data sets, derived from the time sequence in which the data were colle
cted, were used to develop a number of turbidity and suspended sediment rel
ationships. These relationships were then used to estimate erosion from the
catchment. The variability in sediment load estimation using different rel
ationships, and how these relationships impacted on load estimation, were a
nalyzed in detail. The study estimates erosion on a storm basis using detai
led sediment sampling and turbidity data. Storm sediment loads were then ac
cumulated to derive annual load, which distinguishes this study from volume
based sediment studies. The study found that large storms dominate erosion
in the catchment, and erosion rate depends more on peak storm flow than ot
her hydrological variables. A relatively low annual erosion rate from the c
atchment was found, which is consistent with studies in other Australian ca
tchments. The study found that, to establish a sound relationship between s
uspended sediment and turbidity for a catchment, it requires extensive data
collection of large as well as small storms at short time intervals, a sto
rm-based erosion estimation approach, and a data set that is used for inter
polation rather than extrapolation. Erosion estimation based on infrequent,
non-storm based or extrapolated data is exposed to potentially large error
s, and the results may only be relied upon as a general guide rather than s
erious estimation of catchment erosion. (C) 2001 Elsevier Science B.V. All
rights reserved.