Multi Criteria Analysis (MCA) Method Using a Gis to Modeled Flood Risk Map Zones of Calabar River
Abstract
The frequency with which floods occur, their magnitude, extent, and the cost of damage are escalating all around the globe, is of immense concern. A flood is a water provoked disaster that prompts a short-lived surge of dry land and makes veritable mischief to lives, property, and structures. Flood has made a lot of unsafe effects in Nigeria, occurring to the end of people, breakdown of designs, structures, destruction of properties, agrarian produce, loss of land, and extended government use. To fill this opening, a sporadic investigation was carried out in this study on selected, families, neighborhoods, communities, and ministries that were affected by flood in Cross River State, Nigeria. Relative Important Index (RII) was used for situating the parts and the preventive measures. Multi Criteria Analysis (MCA) is used to model the flood danger map examination and Sentinel-1A SAR pictures are generated to design flood loosen up and to decide if the resulting guide from the MCA connection is a close-by depiction of the flood slanted zones in the investigation region. The results show that the multi-measures examination approach was reasonably suitable in coupling the parameters, including high, slope, precipitation, land cover, and soil geography to make a flood risk map danger of the location. From the result, the normal factors that causes flooding have been identified to include the nature of the drainage system, heavy precipitation, indiscriminate building along flow channels and rash trash evacuation routine. Preventive measures to avoid flooding were constant dumping of waste, lack of awareness of individuals overall on the need to adhere to environmental rules, enforcement of government agency to screen private design improvement, execution of government policies on flood control, and cleansing of town/city by Community Urban Development Agency (CUDA) is ineffective in Cross River State.