Forecasting of rainfall using statistical downscaling model (SDSM) – general circulation model (GCM) for future estimation of rainwater harvesting

Ahmad Tarmizi, ‘Aainaa Hatin (2020) Forecasting of rainfall using statistical downscaling model (SDSM) – general circulation model (GCM) for future estimation of rainwater harvesting. Masters thesis, Universiti Tun Hussein Onn Malaysia.

[img] Text
24p ‘AAINAA HATIN AHMAD TARMIZI.pdf

Download (4MB)
[img] Text (Copyright Declaration)
‘AAINAA HATIN AHMAD TARMIZI COPYRIGHT DECLARATION.pdf
Restricted to Repository staff only

Download (4MB) | Request a copy
[img] Text (Full Text)
‘AAINAA HATIN AHMAD TARMIZI WATERMARK.pdf
Restricted to Registered users only

Download (4MB) | Request a copy

Abstract

Changes in the spatial and temporal rainfall pattern affected by the climate change need to be investigated as its significant characteristics are often used for managing water resources. In this study, the impacts of climate change on rainfall variability in Johor was investigated by using General Circulation Model (GCM) on the availability of daily simulation for three representative concentration pathways (RCP) scenarios, RCP2.6, RCP4.5 and RCP8.5 for interval year of Δ2030, Δ2050 and Δ2080. In addition, the annual future rainfall trend and harvested rainwater volume estimation for the first interval year of Δ2030 were also made. Daily rainfall series from eight (8) stations in Johor capturing 30 years period (1988-2017) with less than 10% missing data were chosen. Of all 26 predictors, only five (5) were chosen for each station to form a rainfall equation at each station for prediction analyses. It can be observed that the temperature (nceptemp), surface specific humidity (ncepshum) and near-surface relative humidity (nceprhum) had a strongest influence in the local weather formations with R values ranged from 0.5 to 0.7. The annual mean rainfall for RCP 2.6, 4.5 and 8.5 was predicted increase by of 17.5%, 18.1% and 18.3%, respectively as compared to historical data. Kluang was predicted to receive the highest amount of rainfall, and the lowest was in Segamat. Moreover, the Mann-Kendall test was used to detect the trend and resulted in no trend for RCP 2.6. Even so, RCP 4.5 showed a significant upward trend in Muar and Kota Tinggi, and for RCP 8.5, all regions were detected to have an upwards trend except for Pontian and Kluang. Volume harvested rainwater (

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Divisions: Faculty of Civil Engineering and Built Environment > Department of Civil Engineering : Water and Environmental Engineering
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 19 Sep 2021 07:31
Last Modified: 19 Sep 2021 07:31
URI: http://eprints.uthm.edu.my/id/eprint/982

Actions (login required)

View Item View Item