Cogent Environmental Science - 2020 : Imputation methods for recovering streamflow observation: A methodological review

Hamzah, Fatimah Bibi and Mohd Hamzah, Firdaus and Mohd Razali, Siti Fatin and Jaafar, Othman (2020) Cogent Environmental Science - 2020 : Imputation methods for recovering streamflow observation: A methodological review. Cogent Environmental Science, 6 (1). pp. 3-12. ISSN 2331-1843

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Abstract

Missingvalueinhydrologicalstudiesisanunexceptionalriddlethathaslong been discussed by researchers. There are various patterns and mechanisms of “miss ingness” that can occur and this may have an impact on how the researcher should treat the missingness before analyzing the data. Supposing the consequence of miss ing value is disregarded, the outcomes of the statistical analysis will be influenced and the range of variability in the data will not be appropriately projected. The aim of this paper is to brief the patterns and mechanism of missing data, reviews several infilling techniques that are convenient to time series analyses in streamflow and deliberates some advantages and drawback of these approaches practically. Simplest infilling approaches along with more developed techniques, such as model-based determinis tic imputation method and machine learning method, were discussed. We conclude that attentionshouldbegiventothemethodchosentohandlethegapsinhydrological aspects since missing data always result in misinterpretation of the resulting statistics.

Item Type:	Article
Uncontrolled Keywords:	missing data; imputation; deletion; simple; model-based; machine learning
Divisions:	Institute of Graduate Studies (IGS)
Depositing User:	LIBRARY1 UPTM
Date Deposited:	24 Jul 2025 01:59
Last Modified:	24 Jul 2025 01:59
URI:	http://eprints.kuptm.edu.my/id/eprint/5003

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