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008 180108t2017 my a f a m 000 0 eng d
020 _aTHE0000539(Local)
039 9 _a201905151620
_bnazirah
_y201801081200
_zfateeha
040 _aUMP
090 _aFKASA .L64 2017 r Bc.
100 1 _aLoh, Ri Jian
245 1 0 _aDevelopment of a 1-D salt intrusion modelling programme using python programming language /
_cLoh Ri Jian
260 _aKuantan, Pahang :
_bUMP,
_c2017
300 _axiii, 101 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 – 2017
504 _aBibliography : p. 56-60
520 3 _aSalt intrusion model mostly does not standalone and is integrated into 2-D and 3-D hydraulics modelling tools such as Mike21 and Delft-3D. Although the integration looks convenient, the models are very expensive due to its costly license procurement. As an alternative, 1-D salt intrusion model generates a simpler and economical platform for the user to conduct study on salt intrusion in estuaries. The objective of this study are 1) to develop a 1-D analytical salt intrusion modelling programme using Python programming language: SALT 2) to simulate the longitudinal salinity curve using developed programme and 3) to validate the applicability and reliability of the model. In this study, the SALT modelling programme has been developed using Python programming language to protect the formulas that can be easily changed in traditional spreadsheet. The core concept of this model adopts the analytical 1-D salt intrusion model developed by Savenije (2005) and Gisen (2015).The existing salt intrusion data of Malaysia estuaries were divided into two sets, one for model validation (Kurau, Perak, Bernam, Selangor, Muar and Endau) from Gisen (2015) and another set for model testing on the newly surveyed Belat Estuary. Based on the comparison between the result obtained from the conventional spreadsheet and SALT, the SALT modelling programme is indeed reliable to be used for salt intrusion study application as the model performance analyses show high accuracy with average RMSE of 1.31 and average NSE of 0.98.
610 2 0 _aFaculty of Civil Engineering and Earth Resources
_xDissertations
650 0 _aUniversities and Colleges
_xDissertations
650 0 _aTheses
999 _aVIRTUA40
_c7185
_d7191
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