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The purpose of this research is to develop an adaptation model of flood disaster prone city resilience to actualize the sustainability of the city of Jakarta.
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CityConnect aggregates data to build a 3D model of flooding at the street level.
Such crowdsourced data help improve the understanding and modelling of flood hazard.
Currently, geospatial techniques provide a wide range of data sources for the modelling of flood (Wanders et al. 2014).
Modelling of flood is a complex exercise where a lot of factors are supposed to be considered.
We integrate numerical modelling of flood inundation with geographical analysis of service areas for the Ambulance Service and the Fire & Rescue Service.
Recent developments in Geographical Information Systems, increased availability of accurate digital terrain models from remotely sensed data sources and improved graphical computer interfaces have made the outputs from computer models of flood inundation easily accessible to the stakeholder community.
This detailed approach to studying landscape response to wildfires may be useful in the improvement of predictive models of flood, debris flow and sedimentation hazards used in post-wildfire response assessments and land management, and may help improve process-based models of landscape evolution.
The models of flood risk from sea-level rise incorporate the adaptive effect of improved flood protection, assumed to correlate with increasing gross domestic project (GDP) over time.
Flood impact modelling requires reliable models for the simulation of flood processes.
Validation of stage and discharge predictions builds confidence in model predictions of flood extent and localized velocities, which are fundamental to reliable flash flood warning.
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