000 03156ntm a2200373 i 4500
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008 180118s2017 my da f am 000 0 eng d
020 _aTHE0000463(Local)
039 9 _a201905151511
_bnazirah
_c201802201127
_dsaini
_c201801191141
_dsaini
_y201801181020
_zsaini
040 _aUMP
_beng
_cUMP
_erda
090 _aFKASA .H393 2017 r Bc.
100 0 _aNurul Hazimah Mahmud,
_eauthor.
245 1 0 _aEstimating the long term pattern of water streamflow with climate change adaptation /
_cNurul Hazimah Mahmud
264 1 _aKuantan, Pahang :
_bUMP,
_c2017
264 4 _c© 2017
300 _axi, 53 pages :
_billustrations (some color), charts ;
_c30 cm. +
_e1 CD-ROM
336 _atext
_2rdacontent
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
337 _acomputer
_2rdamedia
338 _avolume
_2rdacarrier
338 _acomputer dics
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2017
504 _aIncludes bibliographical references
520 3 _aThe climate changes and its affects to the world have becoming one of the issues that is important to the society. The predictions of rainfall, temperature and streamflow for future have been used in content of global climate change due to current situation where the continuous changes of world climate. This happens because of emission of carbon dioxide, CO2 that came from factory, vehicles and other factors. The increased of carbon dioxide causing the depleting of ozone layers. The studies focus in analysing prediction of rainfall, temperature and streamflow of Pahang state. The rainfall and temperature pattern can be estimate using the statistical downscaling models (SDSM) meanwhile as for stream flow, the method used was identification of unit hydrographs and component flows from rainfall, evaporation and streamflow (IHACRES). The statistical downscaling models (SDSM) is one of the SD model that interpret the predictand (local climate) – predictor (GCMs-scale) relationship using multiple regression techniques and it is allows different types of data to be transformed into standard predictor variables before being downscaled and calibrated to produce nonlinear regression models. The statistical downscaling models can reduce the standard error of estmate and increased the number of explained variance using bias correction and varianc inflation techniques. The identification of unit hydrographs and component flows from rainfall, evaporation and streamflow (IHACRES) is a hybrid conceptual-metric models where it can reduce uncertainty of involved parameter and represent more details of the internal processes.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
999 _aVIRTUA40
_c7395
_d7401
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2640*2641*3000*3360*3361*3370*3371*3380*3381*3470*5000*5020*5040*5200*6100*6500*6501*9992