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Sampling Considerations in Stream Discharge and Temperature Measurements
Author(s) -
Quimpo Rafael G.,
Yang JingYea
Publication year - 1970
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1029/wr006i006p01771
Subject(s) - sampling (signal processing) , statistics , statistic , sampling interval , variance (accounting) , sample (material) , interval (graph theory) , sampling design , mathematics , measure (data warehouse) , computer science , data mining , population , chemistry , demography , sociology , accounting , filter (signal processing) , chromatography , combinatorics , business , computer vision
The choice of a sampling interval in hydrometry is constrained by two extremes, redundant information from sequentially correlated observations resulting from sampling too often, and lost information because of too infrequent sampling. The variability of the sample variance is used to obtain a sampling interval at some level of information redundance. This statistic is suggested as an alternative measure of information content to the one based on the variance of the sample mean. Time series of stream discharge and temperature measurements are used to illustrate application of the theory.