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008 151125t2015 my da f abm 000 0 eng d
020 _aTHE0000642(Local)
039 9 _a201905161128
_bnazirah
_c201711301551
_dfateeha
_y201511251539
_zasma
040 _aUMP
090 _aFKASA .N878 2015 r Bc.
100 0 _aWan Nurulhafizah Bt Abd Razak
245 1 0 _aFlood forecasting at Kinabatangan River, Sabah by utilizing Artificial Neural Network (Ann) /
_cWan Nurulhafizah Bt Abd Razak
260 _aKuantan, Pahang :
_bUMP,
_c2015
300 _ax, 37 p. :
_bill. (some col.) ;
_c30 cm.
500 _aFaculty of Civil Engineering and Earth Resources
502 _aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015
504 _aBibliography : p. 35
520 3 _aFlood event is among the most influential disaster in Malaysia .Therefore, the developing of flood forecasting model is to minimize the effects of flood and to achieve a model with high accuracy by utilizing Artificial Neural Network (ANN). Artificial Neural Network is a highly non-linear and can capture the complex interactions among input variables in a system without any prior knowledge about the nature of these interactions. Nowadays, ANN is widely used in prediction and forecasting in water resources. The area of study the flood forecasting is carried out at the Balat Station, Kinabatangan River, Sabah where the hourly water level data is collected from Department of Irrigation and Drainage (DID) from year 2000 until 2014. The results indicated that the model develop a highest accuracy is 6 hour time interval for 4000 iteration where the NSC result is 0.996 with lower RMSE 155.341 compared to others iteration and time interval. This modal achieved 100% at allowable error less than 500 mm which is show the prediction of water level. As a conclusion, this model shows high accuracy and water level can be used alone. This can be applied in the real world to give out warning on imminent flood
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/25844
_zAccess in library only
999 _aVIRTUA40
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