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REAL‐TIME QUALITY CONTROL OF STREAMFLOW DATA—A SIMULATION STUDY 1
Author(s) -
Krajewski Witold F.,
Krajewski Karol L.
Publication year - 1989
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1989.tb03076.x
Subject(s) - streamflow , outlier , monte carlo method , computer science , residual , quality (philosophy) , data mining , environmental science , statistics , mathematics , algorithm , drainage basin , artificial intelligence , geography , cartography , philosophy , epistemology
The problem of real‐time quality control of streamflow data is addressed. Five methods are investigated via a Monte‐Carlo simulation experiment based on streamflow data from Bird Creek basin in Oklahoma. The five methods include three deterministic approaches and two statistical approaches. The relative performance of the investigated methods is evaluated under hypothesized random mechanism generating isolated outliers. The deterministic method based on streamflow gradient analysis and the statistical method based on forecast residual analysis perform best in detecting such outliers.