Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation.
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...
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| Format: | Article |
| Language: | English English |
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American Society of Civil Engineers
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/14200/1/Effect%20of%20adaptive%20cluster%20sampling%20design%20on%20accuracy%20of%20sediment%20rating%20curve%20estimation.pdf |
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| author | Arabkhedri, Mahmood Lai, Food See Ibrahim, Noor Akma Mohamad Kasim, Mohamad Roslan |
| author_facet | Arabkhedri, Mahmood Lai, Food See Ibrahim, Noor Akma Mohamad Kasim, Mohamad Roslan |
| author_sort | Arabkhedri, Mahmood |
| collection | UPM |
| description | 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. |
| first_indexed | 2024-03-06T07:30:38Z |
| format | Article |
| id | upm.eprints-14200 |
| institution | Universiti Putra Malaysia |
| language | English English |
| last_indexed | 2024-03-06T07:30:38Z |
| publishDate | 2010 |
| publisher | American Society of Civil Engineers |
| record_format | dspace |
| spelling | upm.eprints-142002015-10-28T07:42:57Z http://psasir.upm.edu.my/id/eprint/14200/ Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. Arabkhedri, Mahmood Lai, Food See Ibrahim, Noor Akma Mohamad Kasim, Mohamad Roslan 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. American Society of Civil Engineers 2010 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14200/1/Effect%20of%20adaptive%20cluster%20sampling%20design%20on%20accuracy%20of%20sediment%20rating%20curve%20estimation.pdf Arabkhedri, Mahmood and Lai, Food See and Ibrahim, Noor Akma and Mohamad Kasim, Mohamad Roslan (2010) Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. Journal of Hydrologic Engineering, 15 (2). pp. 142-151. ISSN 1084-0699; ESSN: 1943-5584 10.1061/(ASCE)HE.1943-5584.0000171 English |
| spellingShingle | Arabkhedri, Mahmood Lai, Food See Ibrahim, Noor Akma Mohamad Kasim, Mohamad Roslan Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title | Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title_full | Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title_fullStr | Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title_full_unstemmed | Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title_short | Effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation. |
| title_sort | effect of adaptive cluster sampling design on accuracy of sediment rating curve estimation |
| url | http://psasir.upm.edu.my/id/eprint/14200/1/Effect%20of%20adaptive%20cluster%20sampling%20design%20on%20accuracy%20of%20sediment%20rating%20curve%20estimation.pdf |
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