Abstract
Abstract. Flooding is considered to be one of the most destructive among many natural disasters such that understanding floods and assessing the risks associated to it are becoming more important nowadays. In the Philippines, Remote Sensing (RS) and Geographic Information System (GIS) are two main technologies used in the nationwide modelling and mapping of flood hazards. Although the currently available high resolution flood hazard maps have become very valuable, their use for flood preparedness and mitigation can be maximized by enhancing the layers of information these maps portrays. In this paper, we present an approach based on RS, GIS and two-dimensional (2D) flood modelling to generate new flood layers (in addition to the usual flood depths and hazard layers) that are also very useful in flood disaster management such as flood arrival times, flood velocities, flood duration, flood recession times, and the percentage within a given flood event period a particular location is inundated. The availability of these new layers of flood information are crucial for better decision making before, during, and after occurrence of a flood disaster. The generation of these new flood characteristic layers is illustrated using the Cabadbaran River Basin in Mindanao, Philippines as case study area. It is envisioned that these detailed maps can be considered as additional inputs in flood disaster risk reduction and management in the Philippines.
Highlights
1.1 BackgroundFlooding is considered to be one of the most destructive among many natural disasters, bringing catastrophic and costly damages to human lives, infrastructure and the environment all over the world
High resolution flood hazard maps available for the Philippines are undeniably becoming very valuable in identifying areas/localities that can be flooded and the communities that can be affected if rainfall events of varying volume and intensity will fall over a river basin
We present and applied an approach based on Remote Sensing (RS), Geographic Information System (GIS) and two-dimensional (2D) flood modelling to generate new flood layers in addition to the usual flood depths and hazard maps
Summary
Flooding is considered to be one of the most destructive among many natural disasters, bringing catastrophic and costly damages to human lives, infrastructure and the environment all over the world. Remote Sensing (RS) and Geographic Information System (GIS) have become effective geospatial tools for assessing hazards and risks associated with flood disasters (Manfré et al, 2012), most especially for the simulation of flood characteristics, and for the assessment of its social, economic and environmental consequences (Albano et al, 2015) These technologies have been used, either on their own or in a synergistic manner, to develop numerical flood simulation models that can aid in reconstructing past flood events for the purpose of mapping inundation levels and extents as well as to identify elements at risks (e.g., Amora et al, 2015; MakinanoSantillan et al, 2015; Santillan et al, 2016); in identifying flood-prone areas for the purpose of planning for disaster mitigation and preparedness (Asare-Kyei et al, 2015; Gashaw and Legesse, 2011; Pradhan, 2010; Samuel et al, 2014); and most especially in flood forecasting and early warning (Mioc et al, 2008; Sharif and Hashmi, 2006), among many other uses and applications. In the US, the increasing affordability of LiDAR data have made more feasible the updating of flood studies and large-scale mapping efforts (Gilles et al, 2012)
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