CLIMATOLOGICAL CALIBRATION OF Z-R RELATIONSHIP FOR PAHANG RIVER BASIN

Author:

Tahir Wardah,Azad Wan Hazdy,Husaif Nurul,Osman Sazali,Ibrahim Zaidah,Ramli Suzana

Abstract

Flood disaster due to prolonged heavy rainfall had caused millions ringgit of property losses, infrastructure damages and numerous deaths in the east coast region of Peninsular Malaysia. One of the efforts taken to improve disaster preparedness in this region is by enhancing the flood forecasting and warning system (FFWS) using rainfall input from weather radar. Weather radar has the advantage of its ability to provide good spatial and temporal resolution of rainfall estimates but comes with inherent associated errors. In this study, the radar rainfall estimates were improved by climatological calibration of reflectivity-rain (Z-R) relationships for Pahang river basin. The reflectivity data for period of one year from Kuantan radar station and the hourly rainfall depths at 67 rainfall stations located in the basin for the same periods were used. Correlation analysis between radar and gauged rainfall indicates that the further the distance from the radar, the weaker the R2 coefficient value. Two Z-R equations were derived using optimization method for distance (1) 0-100 km and (2) above 100 km from Kuantan radar. The results in the form of Z = 24R1.7 and Z =5R1.6 represents the average relationship for Kuantan radar for distance (1) and (2). The radar rainfall estimates using the newly derived climatological Z-R equations enhanced the FFWS for Pahang river basin.

Publisher

Penerbit UTM Press

Subject

General Engineering

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1. Analysis of Initial Z-R Relationship Using Radar Reflectivity Data in Tropical Region;2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA);2024-03-01

2. Enhancing precipitation estimation accuracy: An evaluation of traditional and machine learning approaches in rainfall predictions;Journal of Atmospheric and Solar-Terrestrial Physics;2024-02

3. Machine Learning-based Model for Enhanced Quantitative Precipitation Estimates (QPE) From Radar Images Extracted Features;2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE);2023-12-02

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