Hydro-Meteorological Risk Emergency Planning and Management Using Big Data as a Platform

Abstract

Climate change and extreme events are becoming more common worldwide, and developing countries are especially vulnerable due to insufficient mitigation and preparedness capabilities. It goes without saying that employing big data is the right approach for successful retrieval of disaster data as well as its analysis, management, and dissemination in climate risk emergency planning and management. This review will investigate how big data can be used as a recent data management technology for climate risk emergency planning and management. An intimate assessment of the literature shows that there are methodical reviews on big data applications in emergency management. This study holds that emergency events are far from being predictable and as such, they are bound to bring havoc and destruction. Emergency management is managing public emergencies using different methods like big data. Big data technologies can address issues related to storage, analysis, accessibility, and distribution to generate and present data analysis useful for practical purposes. The findings of this review show that using big data in various emergency management applications will enable policymakers and other stakeholders to make appropriate and correct decisions during the emergency management process which benefits if responses are optimized for quality prediction analysis.