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A comparison of selection at list time and time-stratified sampling for estimating suspended sediment loadsAuthor(s): Robert B. Thomas; Jack Lewis
Source: Water Resources Research 29(4): 1247-1256.
Publication Series: Miscellaneous Publication
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DescriptionTime-stratified sampling of sediment for estimating suspended load is introduced and compared to selection at list time (SALT) sampling. Both methods provide unbiased estimates of load and variance. The magnitude of the variance of the two methods is compared using five storm populations of suspended sediment flux derived from turbidity data. Under like conditions, the SALT coefficient of variation was 1.4-7.7 times that of time-stratified sampling. Time-stratified sampling performs well if the range of sediment flux in each stratum is small. This requirement can be met by using small sample sizes in many short strata. Theoretically, SALT sampling has the potential for smaller sampling variance; however, it is difficult to select an auxiliary variable that predicts flux well under diverse flow conditions. An ""optimum"" auxiliary variable formed from the largest storm performed about as well as time-stratified sampling for the larger storms. Time-stratified sampling ensures that specimens are collected in all storms, facilitating load estimation for individual storms. In contrast, SALT can better allocate sampling resources over different size storms, enabling efficient estimation of the total load for longer periods. Because time-stratified sampling is less sensitive to the way measurements are allocated to different parts of the population, it is preferred for estimating storm loads of multiple constituents from the same sample
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CitationThomas, Robert B.; Lewis, Jack. 1993. A comparison of selection at list time and time-stratified sampling for estimating suspended sediment loads. Water Resources Research 29(4): 1247-1256.
KeywordsPSW4351, Caspar Creek, time-stratified sampling, suspended sediment, SALT, measuremen
- An evaluation of flow-stratified sampling for estimating suspended sediment loads
- Calibrating SALT: a sampling scheme to improve estimates of suspended sediment yield
- Estimating total suspended sediment yield with probability sampling
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