Comparative assessment of drought indices for evaluating drought patterns in Peninsular Malaysia

Author:

Ng Jing Lin1ORCID,Huang Yuk Feng2,Chong Aik Hang3,Lee Jin Chai3,Abdulkareem Muyideen3,Md Noh Nur Ilya Farhana1,Mirzaei Majid4,Ahmed Ali Najah5

Affiliation:

1. a School of Civil Engineering, College of Engineering, Universiti Teknologi MARA (UiTM), 40450 Shah Alam, Selangor, Malaysia

2. b Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Jalan Sg. Long, Bandar Sg. Long, 43000, Kajang, Selangor, Malaysia

3. c Department of Civil Engineering, Faculty of Engineering, Technology and Built Environment, UCSI University, Kuala Lumpur, 56000, Malaysia

4. d Department of Environmental Science and Technology, University of Maryland, College Park, MD 20742, USA

5. e Department of Civil Engineering, College of Engineering, Universiti Tenaga Nasional (UNITEN), Selangor 43000, Malaysia

Abstract

Abstract Drought has been the main environmental issue in Peninsular Malaysia. Hence, this study undertook a thorough evaluation of drought assessment methodologies and focused on the temporal analysis of multiple drought indices, namely, the standardised precipitation index (SPI), deciles index (DI), percent of normal precipitation index (PNPI), rainfall anomaly index (RAI) and Z-score index (ZSI) – across timescales of one-, six- and 12-month durations. This assessment incorporates the average moving range (AMR), Mann–Kendall (MK) test and Sen's slope estimator in temporal analysis and the results showed that shorter timescales lead to higher fluctuation in AMR values, indicating short-term droughts are best assessed using drought indices of shorter timescale. It was found that most drought indices exhibited a similar trend and trend magnitude in all timescales. SPI is utilised as the standard model for the accuracy evaluation of drought indices using root mean square error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE). The results showed that ZSI has the highest accuracy of all indices. The novelty of this study lies in evaluating the accuracy and temporal characteristics of precipitation-based drought indices in tropical areas, particularly in Peninsular Malaysia.

Funder

Fundamental Research Grant Scheme

Publisher

IWA Publishing

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Water Science and Technology,Global and Planetary Change

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Drought Prediction based Standardized Precipitation Index Using Multilayer Perceptron Model;2024 International Conference on Smart Computing, IoT and Machine Learning (SIML);2024-06-06

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