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Longterm rainfall variability and changes in Kuantan river basin / Nur Farisha Binti Rahaizak

By:

Nur Farisha Rahaizak

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2017Description: ix, 88 p. : ill. (some col.), charts ; 30 cm. + 1 CD-ROMISBN:

THE0000397(Local)

Subject(s):

Dissertation note: Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2017 Abstract: This paper assesses the performance of Statistical Downscaling Model (SDSM) as climate agent to generate the climate trend as well as climate future projections of rainfall and temperature in the year 2040-2069 in Kuantan River Basin. In order to be able to validate the historical trend, predictors set that has been derived from National Centre to Environmental Prediction (NCEP) reanalysis information to be utilized for adjustment and approval process and GCMs-factors to create the future climate trend in view of expected increment of GHGs at the local region. In this study, a total of six stations in Kuantan river basin consists of rainfall and temperatures details has been selected to carry out this study. About 4 predictors have been chosen for rainfall analysis and 5 other different predictors are used for temperature. In addition, GCM data is used for future climate projections for selected stations based on three different forcings scenarios, RCP26, RCP45 and RCP85 with their percentage difference based from their historical data. The result shows that for rainfall analysis, the average error is only 11% meanwhile for temperature is less than 1%.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB GAMBANG	FKASA .F377 2017 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000120976
Final Year Report	UMPLIB GAMBANG	CD 11032 \| FKASA .F377 2017 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000120977

Faculty of Civil Engineering and Earth Resources

Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2017

Bibliography : p. 84-88

This paper assesses the performance of Statistical Downscaling Model (SDSM) as climate agent to generate the climate trend as well as climate future projections of rainfall and temperature in the year 2040-2069 in Kuantan River Basin. In order to be able to validate the historical trend, predictors set that has been derived from National Centre to Environmental Prediction (NCEP) reanalysis information to be utilized for adjustment and approval process and GCMs-factors to create the future climate trend in view of expected increment of GHGs at the local region. In this study, a total of six stations in Kuantan river basin consists of rainfall and temperatures details has been selected to carry out this study. About 4 predictors have been chosen for rainfall analysis and 5 other different predictors are used for temperature. In addition, GCM data is used for future climate projections for selected stations based on three different forcings scenarios, RCP26, RCP45 and RCP85 with their percentage difference based from their historical data. The result shows that for rainfall analysis, the average error is only 11% meanwhile for temperature is less than 1%.