FLOOD FORECASTING:AN INTELLIGENT SYSTEM USING MACHINE LEARNING

Computer science engineering

Floods are natural disasters.They are most commonly caused by excessive precipitation and runoffs which lead the adjoining land areas to be submerged by water which causes huge loss to human lives and properties, which includes damaging buildings, bridges ,power supply network and crippling the transportation and bringing economic hardships on the people. In order to decrease the damages caused by the flood, it is essential to implement an intelligent system for the early detection. Over the years, multiple measures have been taken to pre- determine flood warnings which have been implemented using sensor technology and active monitoring of the parameters. This leads to the creation of a wide number of data-sets which can be employed for future purposes.With the availability of data analytics techniques including Machine Learning, the datasets can be directly employed to allow based upon this, and can create a model which helps to predict future outcomes. In this paper,machine learning algorithms like k-nearest neighbor(KNN), decision tree, random forest, and support vector machine (SVM) are used.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.