000			02125 a2200313 4500
001			1138603341
005			20250317100400.0
008			250312042018xx eng
020			_a9781138603349
037			_bTaylor & Francis _cGBP 76.99 _fBB
040			_a01
041			_aeng
072	7		_aRBK _2thema
072	7		_aKNB _2thema
072	7		_aTN _2thema
072	7		_aRBK _2bic
072	7		_aKNBW _2bic
072	7		_aTN _2bic
072	7		_aSCI026000 _2bisac
072	7		_aTEC009020 _2bisac
072	7		_aTEC010030 _2bisac
072	7		_a551.48 _2bisac
100	1		_aAnuar Ali
245	1	0	_aFlood Inundation Modeling and Hazard Mapping under Uncertainty in the Sungai Johor Basin, Malaysia
250			_a1
260			_bCRC Press _c20180509
300			_a176 p
520			_bFlooding can have devastating impacts on people’s livelihood, economy and the environment. An important instrument in flood management is floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain maps often involves flood inundation modeling. This typically requires precipitation and stream flow data, topographic information, building a hydraulic model and calibration of its parameters. Often however, floodplain maps are built on a single model outcome without an explicit consideration of all the sources of uncertainty in the modeling process. The research presented in this thesis addresses the uncertainty in flood inundation modeling, which may arise from input data and hydraulic modeling approach. The study area is the Sungai Johor basin in Johor, Malaysia, an agriculture-dominated area. The present study analyses the modelling uncertainties arising from estimations of design flow, terrain data sets, geometric description in hydraulic models and different modeling approaches, and develops recommendations for practitioners. Explicit account for uncertainties and studying their impact in flood inundation mapping allow for more informed and effective decision making.
999			_c1086 _d1086