Effect of Adaptive Cluster Sampling Design on Accuracy of Sediment Rating Curve Estimation
Publication: Journal of Hydrologic Engineering
Volume 15, Issue 2
Abstract
Adaptive cluster sampling represents a design whereby more samples during high storm hydrographs can be obtained in the field compared to the commonly used calendar-based. To compare the effect of these sampling designs on accuracy of sediment rating curve estimation, we performed a study for Gorgan-Rood River, Iran by synthesizing sample sets from daily records. The load estimates obtained by conventional, two bias-corrected, and logged mean load within discharge classes (LMLWDCs) rating curves were statistically evaluated. All rating curves derived from calendar-based sample sets–except those with a nonparametric correction factor–underestimated the average load from 25 to 76%. Rating curves derived from adaptive sample sets, however, increased the sediment load to as much as 30%. Among this group of rating curves, LMLWDC produced the most accurate results with only 3% overestimation and a coefficient of variation in the order of 14% when the sampling frequency was semiweekly. The more accurate estimates from adaptive sample sets are likely due to the inclusion of more samples from high load periods.
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Acknowledgments
The writers wish to thank the two anonymous reviewers for their constructive recommendations.
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Information
Published In
Journal of Hydrologic Engineering
Volume 15 • Issue 2 • February 2010
Pages: 142 - 151
Copyright
© 2010 ASCE.
History
Received: Nov 29, 2008
Accepted: Jul 24, 2009
Published online: Jul 31, 2009
Published in print: Feb 2010
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