• Sonam Kaler
• Amit Sharma

Abstract: Analysing Big Data trends is not only a valuable business practice, but can also enhance the effectiveness and performance of emergency and disaster management organisations. Due to the availability and use of smartphones and social media, disasters can be assessed with real-time information and fast, reliable and reliable response can be achieved. Big Data has the potential to enhance the recovery of disasters by using collective knowledge and linking victims with emergency responders and the family. Emergency responders will minimize their search time and optimize their recovery time when they have access to information in real time that highlights the most affected areas. Working with expert expertise and satellite imagery, Big Data has started patterns that have already saved lives and proven successful in emergency situations. This paper aims to review the best algorithms, frameworks and models used for the prediction of Natural disasters precisely floods. Early prediction of such disasters can help the people and management to get prepared in advance.

Keywords: Big data; Disasters; Floods; Prediction; IoT

"Big Data Predicting Natural Disasters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.231-234, November 2018, Available :http://www.jetir.org/papers/JETIRDS06034.pdf

"Big Data Predicting Natural Disasters", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp231-234, November 2018, Available at : http://www.jetir.org/papers/JETIRDS06034.pdf