03135ntm a2200289 a 4500 vtls000098144 KUKTEM 20251117113336.0 161123t2016 my a f m 000 0 eng d THE0000687(Local) 201905170954 nazirah 201712261126 nazri 201611231025 fateeha UMP FKASA .S535 2016 r Bc. Mohamad Shaiful Mohd Shariff Assessment of potential climatic scenario in Pahang state / Mohamad Shaiful Mohd Shariff Kuantan, Pahang : UMP, 2016 xv, 65 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2016 Bibliography : p. 63-65 The climate impact studies in the hydrology are often relying on the climate change information at a fine spatial resolution. However, Global Climate Models (GCMs) which is regarded as the most advanced models yet for estimating the future climate change scenarios are operated on the coarse spatial resolution and not suitable for climate impact studies. Future greenhouse gas (GHG) emissions are tile result of exceptionally complex element systems, dictated by driving strengths, for example, demographic development, socio-economic development, and technological change. This is because different scenarios will project different results. Therefore, in this study, the Statistical Downscaling Model (SDSM) was applied to downscale rainfall from the GCMs. The data from two rainfall station located in the Kampung Bandar Ulu Kechau Kuala Lipis and Ladang Teh Boh Cameron Highland were used as input of the SDSM model. Both stations located at Pahang State of Peninsular Malaysia. The study included the calibration and validation with large-scale National Centers for Environmental Prediction (NCEP) reanalysis data, and the projection of future rainfall corresponding to the GCMs-variables (HadCM3 A2&B2) and Precise A1b. The main objective of this research investigation is to study the climate change that will occur and affect Pahang state. Towards achieving the aim, other associated objectives are to determine appropriate scenario for Pahang State and to determine the future changes of rainfall trend affected by various type of scenarios. The study results shows that during the calibration and the validation stage, the SDSM model can be well acceptable in regards to its performance in the downscaling of the daily and annual rainfall. For the future period (2010-2099), the SDSM model estimates that there were increases in the total average annual rainfall and generally, the area of rainfall station become wetter. Faculty of Civil Engineering and Earth Resources Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/3931 Access in library only 0 0 0 6 10000 10000 2019-09-04 0 FKASA .S535 2016 r Bc. 0000115019 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 6 10000 10000 2019-09-04 0 CD 10233 | FKASA .S535 2016 r Bc. 0000115020 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7058 7064 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992