Evaluating imputation methods for rainfall data under high variability in Johor River Basin, Malaysia

• Main Authors: Sa’adi, Zulfaqar, Yusop, Zulkifli, Alias, Nor Eliza, Chow, Ming Fai, Muhammad, Mohd. Khairul Idlan, Ramli, Muhammad Wafiy Adli, Iqbal, Zafar, Shiru, Mohammed Sanusi, Wira Rohmat, Faizal Immaddudin, Mohamad, Nur Athirah, Ahmad, Mohamad Faizal
• Format: Article
• Language: English
• Published: Elsevier B.V. 2023
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/105055/1/NorElizaAlias2023_EvaluatingImputationMethodsforRainfallData.pdf; http://eprints.utm.my/105055/; http://dx.doi.org/10.1016/j.acags.2023.100145
• Institution: Universiti Teknologi Malaysia

Missing values in rainfall records might result in erroneous predictions and inefficient management practices with significant economic, environmental, and social consequences. This is particularly important for rainfall datasets in Peninsular Malaysia (PM) due to the high level of missingness that...