02906nam a22003857a 4500952013500000952011600135999001700251003000800268005001700276007000300293008004100296020002200337040002300359090002600382100003700408245011400445264003400559264001200593300006900605336002100674336002100695337002500716337002300741338002300764338003000787347002400817500005300841502008900894504004000983520137001023610005302393650004502446650001102491942001802502  00102lcc40718REFa10000b10000cREFd2019-10-16l0oFKASA .Z87 2018 r Bc.p0000127023r2019-10-16 00:00:00w2019-10-16yTHESIS  00102lcc40718REFa10000b10000d2019-10-16l0oCD11932p0000127024r2020-07-16 00:00:00w2019-10-16yTHESIS  c90899d90905MY-KuUP20251125105406.0ta191016t20182018my a|||| |||| 00| 0 eng d  aTHE0008229(Local)  aUMPbengcUMPerda  aFKASA .Z87 2018 r Bc.0 aZuriani Halwa Abdullah,eauthor.10aFlood forecasting modelling using artificial neural network (ann) in Chukai Kemaman /cZuriani Halwa Abdullah 1aKuantan, Pahang :bUMP,c2018 4a© 2018  axi, 34 pages :bIllustrations (some color) ;c30 cm. +e1 CD-ROM  2rdacontentatext  2rdacontentatext  2rdamediaaunmediated  2rdamediaacomputer  2rdacarrieravolume  2rdacarrieracomputer disc  2rdaatext filebPDF  aFaculty of Civil Engineering and Earth Resources  aProject Paper (Bachelor of Civil Engineering) -- Universiti Malaysia Pahang – 2018  aIncludes bibliographical references3 aFlood has a big potential to obliterate away an entire city, area or coastline and can cause substantial damages to life and properties. Flood is the most intense and the only natural disaster happens in Malaysia. Floods occur when the amount of water flowing from a catchment surpass the capacity of its drains, creeks, and rivers. This process begins with rainfall, but is an affected by many other factors. Flood can happen at any time of the year and are caused by heavy rainfall or non-stop rainfall. Hence, flood forecasting is requiring providing better warning for people. Artificial Neural Network (ANN) is used to develop accurate flood forecasting modelling. ANN is chosen to be use because of its simplicity, easy implementation and demonstrated success in forecasting studies, since ANN have been found to be powerful tools for solving different problems in variety of applications. Artificial Neural Network (ANN) also can be used to develop accurate flood forecasting modelling. This study is based on predicting flood event at Chukai, Kemaman, Terengganu. In Terengganu, flood happen due to monsoon rainfall and cause of backwater phenomenon during high tides. The hourly water levels for 20 to 30 years are needed to develop flood forecasting. The hourly water level data can be taken from the Department of Irrigation and Drainage (DID), Malaysia.20aFaculty of Civil Engineering and Earth Resources 0aDissertationsxUniversities and colleges 0aTheses  2lcccRESTRICT