A Comparison On Efficiency Of Sampling Techniques For Sediment Estimation In Rivers

Abstract

Articles you may be interested inObservations regarding coarse sediment classification based on multi-beam echo-sounder's backscatter strength and depth residuals in Dutch rivers J. Acoust. Soc. Am. 135, 3305 (2014); 10.1121/1.4875236Using multi-frequency acoustic attenuation to monitor grain size and concentration of suspended sediment in rivers Abstract. In this study, we compared the efficiency of adaptive cluster sampling against SALT (a special kind of probability proportion to size) and simple random sampling for estimating the suspended sediment yield in Gorgan-Rood River, Iran. About 300 sample sets, grouped in different sizes and replicates, were extracted from a five-year daily suspended sediment records, by three study sampling methods including adaptive, SALT and calendar-based. In the next step, total loads were estimated by appropriate sampling estimators; then the loads were compared among themselves and with observed total load as well. The results suggested that all three studied sampling techniques' average estimates showed satisfactory accuracy. However, adaptive and SALT were more precise than simple random sampling. SALT and adaptive cluster sampling obtained the optimum accuracy and precision with an average of almost weekly samplings. The result of this study may suggest the application of the adaptive cluster sampling in river monitoring programs.