Professor National Institute of Technology, Kurukshetra
Rohtak city, India lies in foothill of the Himalayas which makes this area a flood risk zone due to its varied topographical condition, design capacity of storm water drains and extreme precipitation. Flood susceptibility mapping is an essential tool for the assessment of performance of urban storm drainage network. In this study, MIKE+ model is used for identification of flood susceptible zones for the existing storm drainage network which are compared with Analytical Hierarchy Process (AHP) mapping using GIS techniques. MIKE+ model uses hydrodynamic and rainfall-runoff modelling technique for the determination of flood prone areas based on precipitation and population (urbanisation) factors. Flood susceptibility map was also generated using AHP webOS using the parameters namely Land use and land cover, drainage density, topographic wetness index, slope, elevation, NDVI, soil type and rainfall. Eight foundation layers were generated from the geographical database. All of the thematic layers and the resulting flood frequency map were combined to create the flood susceptibility map using a GIS platform. The compared result show that prediction accuracy of AHP was close to flood susceptible zones of MIKE+. The application of the AHP and MIKE+ models assist in determining flood vulnerable zones and estimating potential risk areas. The results of the study will be useful to planners in design and updating of storm drainage network.
