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000			03794ntm a2200361 i 4500
001			vtls000105637
003			KUKTEM
005			20251117113410.0
008			190422t20182018my a f am 000 0 eng d
020			_aTHE0000599(Local)
039		9	_a201905161016 _bnazirah _y201904221157 _znazri
040			_aUMP _beng _cUMP _erda
090			_aFKASA .N44 2018 r Bc.
100	1		_aNg, Hui Ping, _eauthor.
245	1	0	_aDevelopment of isohyet map for Kuantan river basin using kriging and radial basis functions methods / _cNg Hui Ping
264		1	_aKuantan, Pahang : _bUMP, _c2018
264		4	_c© 2018
300			_axv, 115 pages : _billustrations (some color) ; _c30 cm. + _e1 CD-ROM
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
337			_acomputer _2rdamedia
338			_avolume _2rdacarrier
338			_acomputer disc _2rdacarrier
347			_atext file _bPDF _2rda
500			_aFaculty of Civil Engineering and Earth Resources
502			_aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2018
504			_aIncludes bibliographical references
520	3		_aPrecipitation is an important climatic parameter and the studies on rainfall such as identification of rainfall pattern are commonly hampered due to limited rain-gauge network in the field and cause lack of continuous data and occurrence of systematic and random errors. To obtain missing observations in data, several spatial interpolation methods are currently used. However, the lack of knowledge on the suitability of these methods for Kuantan River Basin is a practical problem. In view of this problem, one of the objectives of this study is comparing two selected methods used for the estimation of missing rainfall data to determine their suitability in Kuantan River Basin. The methods studied were Kriging and Radial Basis Functions (RBFs) methods. In this approach, 8 rainfall stations from Kuantan River Basin which are most or less evenly distributed in the basin and with the most extensive data were chosen. The rainfall data was obtained from the Department of Irrigation and Drainage Malaysia (DID) from years 1970 until 2016. Subsequently, monthly and annually rainfall data of each station were estimated based on the above selected methods so that actual data and the estimated data can be compared by using cross-validation method with two common diagnostic statistics, include Mean Absolute Error (MAE) and Root-Mean-Square-Error (RMSE). Results in overall of the study show that the RBFs method is the most common spatial interpolation method to analyse monthly and annually rainfall pattern maps for the impact of climate change over Kuantan River Basin. In term of seasonal rainfall distribution, the rainfall pattern maps show that from November to March received higher precipitation which may due to the Northeast monsoon effect. Meanwhile, in term of regional distribution, the areas which high altitudes and near to the open sea usually are projected to receive more precipitation compared to the lowlands and inlands. For the impact of climate change, the rainfall intensity and the areal extent of higher precipitation has also increased significantly over years. The rainfall distributed more evenly over the Kuantan region. The difference of rainfall depth between year 1970 until 1999 and year 2000 until 2016 recorded highest is in the Northeast Monsoon season where extreme precipitation events occur resulting in major floods.
610	2	0	_aFaculty of Civil Engineering and Earth Resources _xDissertations
650		0	_aUniversities and colleges _xDisertations
650		0	_aTheses
999			_aVIRTUA40 _c7992 _d7998
999			_aVTLSSORT00800200040009001000245026402641300033603370337133803381347050005020504052006100650065019992