Paper Title
Integration of GIS and Internet of Things (IoT) in Disaster Management of Severe Weather Conditions

The evolutionary approaches of information technology and the need for human comfort life lead to more demands for accurate weather forecasts at different spatial and temporal scales. This is also important in order to minimize the danger and damage that result from severe weather conditions. In this context, the application of emerging technologies for increasing the accuracy and skill of the weather alert calls for special attention. This paper aims to propose a GIS-based alerting system for severe weather conditions. The proposed systems integrate the Internet of Things (IoT) technology in the detection and alerting processes in disaster management of severe weather conditions. The system receives data measured by sensors distributed in different locations. It produces alerts disseminated simultaneously and in real-time to the responsible governmental entities and the public through multiple delivery mechanisms. These delivery channels include text-based SMS, email notifications, live alerts on online social media sites. The system has a significant advantage in which it can work with sensors that measure weather elements or with automatic weather stations. A multi-layered geodatabase is developed with the integration of the IoT data. The developed GIS is used to carry out spatial analysis to identify areas vulnerable to disasters due to the severe weather conditions detected by the IoT measurements. The system produces alerts in different forms. The results show the ability of the system to identify severe weather conditions and visualize the spatial coverage of potential risks.