03705nam a22003617a 4500 0 0 lcc 0 0 REF 10000 10000 REF 2019-10-11 0 FKASA .M57 2018 r Bc. 0000126991 2019-10-11 00:00:00 2019-10-11 PSM 0 0 lcc 0 0 10000 10000 2019-10-11 0 CD11915 0000126992 2020-07-16 00:00:00 2019-10-11 PSM 90846 90852 MY-KuUP 20251125105401.0 ta 191011t20182018my a|||| |||| 00| 0 eng d THE0008214(Local) UMP eng UMP rda FKASA .M57 2018 r Bc. Misriyah Helman, author. The fluctuation of long-term streamflow pattern with considered the climate change impacts / Misriyah Helman Kuantan, Pahang : UMP, 2018 © 2018 xiii, 84 pages : Illustrations (some color) ; 30 cm. + 1 CD-ROM rdacontent text rdacontent text rdamedia unmediated rdamedia computer rdacarrier volume rdacarrier computer disc rda text file PDF Faculty of Civil Engineering and Earth Resources Project Paper (Bachelor of Civil Engineering) -- Universiti Malaysia Pahang – 2018 Includes bibliographical references The escalation of global surface temperature in response to the alter of composition of the atmosphere will notably effect upon local hydrological patterns and water resources. This circumstance will later lead to the necessity for an assessment of climate change impacts. The main purpose of this study is to determine the current climate pattern and predict the future streamflow by using the applicability of statistical downscaling model (SDSM) and identification of unit hydrographs and component flows from rainfall, evaporation and streamflow data (IHACRES) models, respectively. In this study, the investigation was done by the potentiality of IHACRES to predict the fluctuation of long-term streamflow influenced by large-scale atmospheric variables which focused on Sg. Yap, Pahang. The study was done by the calibration and validation of from 26 NCEP-reanalysis data and the general circulation models (GCMs) outputs, and the subsequent the prediction of future rainfall and temperature in term of three different greenhouse gas emission scenarios (RCP2.6, RCP4.5 and RCP8.5). Based on the calibration and validation results, SDSM produced good performance in temperature simulation and low performance in rainfall simulation. The projection of mean monthly temperature for future years (2020-2099) for each scenario, it is predicted there is decreasing mean temperature from September to December achieving -6.13% (RCP2.6), -5.94% (RCP4.5) and -6.25% (RCP8.5) while the increasing trends from January to August reaching +7.07% (RCP2.6), +6.80% (RCP4.5) and +7.00% (RCP8.5). Meanwhile, for average monthly rainfall projection in 2020-2099, the increasing monthly rainfall from September to December achieving +67.39% (RCP2.6), +71.14% (RCP4.5) and -+66.60% (RCP8.5) while the decreasing trends from January to August reaching -69.69% (RCP2.6), -46.11% (RCP4.5) and -39.00% (RCP8.5). On top of that, IHACRES model able to show reliable simulation of streamflow in this study. The projection of future streamflow pattern (2020-2099), corresponding to the downscaled future climate projection by comparing the future trends with the historical records, the average mean monthly streamflow is decreasing obviously with -52.00%, -54.68% and -53.05% for the scenario RCP2.6, RCP4.5 and RCP8.5, respectively. The fluctuation of future flows is can be clearly seen from its pattern of monthly, annual and decade inflow in the different scenarios. Faculty of Civil Engineering and Earth Resources Dissertations Universities and colleges Theses lcc PSM