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020 _aTHE0000795(Local)
039 9 _a201905161423
_bnazirah
_c201711301612
_dfateeha
_c201512011421
_dasma
_y201511301458
_zasma
040 _aUMP
090 _aFKASA .Y379 2015 r Bc.
100 1 _aYap, Yee Von
245 1 0 _aEstimation and validation of wind speed by using spatial interpolation /
_cYap Yee Von
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _axiii, 48 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD ROM
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015
504 _aBibliography : p. 40-41
520 3 _aThe increasing of wind hazard damages in Malaysia shows that wind speed has played an important role in weather forecast. Interpolation method is vital when estimating wind speed especially for a location which do not has a weather forecast station. In this study, three methods of spatial interpolation which are Inverse Distance Weighting (IDW), Kriging and Spline were compared to determine their suitability for estimating wind speed. All the methods are evaluated by using standard error regression and correlation coefficient analysis. Based on the results obtained, it was shown that Kriging is more suitable when estimating wind speed for a study point within an enclosed area while IDW and Spline are more suitable for study point between two locations. Therefore, the suitability of different spatial interpolation method is varies for different arrangements of location. Future studies with more data collected, denser sample points and different cases can be carried out to obtain a more accurate result
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
856 4 0 _uhttp://ecollib.ump.edu.my/id/eprint/25894
_zAccess in library only
999 _aVIRTUA40
_c6068
_d6074
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992