UntitledSource: Journal of Hydraulic Engineering:;2018:;Volume ( 144 ):;issue: 006Author:Huang Hening
DOI: 10.1061/(ASCE)HY.1943-7900.0001465Publisher: American Society of Civil Engineers
Abstract: This paper presents a methodology for estimating the bias limit of moving-boat acoustic Doppler current profiler (ADCP) streamflow measurements based on the classical error analysis techniques. The standard deviation (i.e., one-sigma) of the probability distribution of bias errors is defined as the bias limit. The presented method was applied to two types of data sets, as examples of applications. The first example uses 11 data sets collected in the comparison tests of different ADCP models on a wide variety of rivers and streams, located mostly in the United States. The second example uses 44 data sets collected in an ADCP regatta conducted with different ADCP models on a stream in New Zealand. The estimated bias limits from these data sets should have accounted for most, if not all, unknown and unknowable bias errors encountered in these measurements. The results from this study may be used to determine a nominal bias limit for moving-boat ADCP discharge measurements.
|
Collections
Show full item record
| contributor author | Huang Hening | |
| date accessioned | 2019-02-26T08:00:18Z | |
| date available | 2019-02-26T08:00:18Z | |
| date issued | 2018 | |
| identifier other | %28ASCE%29HY.1943-7900.0001465.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4250815 | |
| description abstract | This paper presents a methodology for estimating the bias limit of moving-boat acoustic Doppler current profiler (ADCP) streamflow measurements based on the classical error analysis techniques. The standard deviation (i.e., one-sigma) of the probability distribution of bias errors is defined as the bias limit. The presented method was applied to two types of data sets, as examples of applications. The first example uses 11 data sets collected in the comparison tests of different ADCP models on a wide variety of rivers and streams, located mostly in the United States. The second example uses 44 data sets collected in an ADCP regatta conducted with different ADCP models on a stream in New Zealand. The estimated bias limits from these data sets should have accounted for most, if not all, unknown and unknowable bias errors encountered in these measurements. The results from this study may be used to determine a nominal bias limit for moving-boat ADCP discharge measurements. | |
| publisher | American Society of Civil Engineers | |
| type | Journal Paper | |
| journal volume | 144 | |
| journal issue | 6 | |
| journal title | Journal of Hydraulic Engineering | |
| identifier doi | 10.1061/(ASCE)HY.1943-7900.0001465 | |
| page | 4018024 | |
| tree | Journal of Hydraulic Engineering:;2018:;Volume ( 144 ):;issue: 006 | |
| contenttype | Fulltext |