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008 180105t2017 my da f am 000 0 eng d
020 _aTHE0000397(Local)
039 9 _a201905141811
_bnazirah
_y201801051126
_znazri
040 _aUMP
090 _aFKASA .F377 2017 r Bc.
100 0 _aNur Farisha Rahaizak
245 1 0 _aLongterm rainfall variability and changes in Kuantan river basin /
_cNur Farisha Binti Rahaizak
260 _aKuantan, Pahang :
_bUMP,
_c2017
300 _aix, 88 p. :
_bill. (some col.), charts ;
_c30 cm. +
_e1 CD-ROM
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2017
504 _aBibliography : p. 84-88
520 3 _aThis 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%.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
999 _aVIRTUA40
_c7491
_d7497
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*9992