The Early Warning System (EWS) serves as an integrated system of hazard monitoring, prediction, risk assessment, communication, and preparedness activities which enable the communities and governments to take immediate and timely actions, thus enhancing resilient cultures. Emphasizing the importance of EWS, it has been reported that it can reduce the damage caused especially when complemented with appropriate infrastructure and safety measures. Several technologies are present which serve as EWS for better monitoring, forecasting, and alarm system by providing tools for sensing, cleaning, processing, and analyzing data obtained from the environment. One such system is the Internet of Things (IoT).
IoT systems and environmental monitoring
IoT system consists of infrastructure linking the closely-related objects along with data mining, data management, and wide access. It aims at connecting sensors and objects to undertake several tasks such as environmental monitoring for several customized purposes. In terms of disaster management and Early Warning Systems, IoT provides environmental monitoring from diverse data sources, better communication, and real-time processing which then effectively leads to the generation of accurate and timely warnings in terms of disaster monitoring and forecasting.
Future of IoT Systems in Disaster Management
IoT systems can be effectively used for the management of several hazards such as earthquakes, floods, landslides, and wildfires through integrated communication. However, cost-effectiveness remains a major issue for disaster preparedness. Therefore, cutting-edge technology must be used by international and local bodies. Along with that context awareness and general awareness technologies must be promoted among the communities to better understand the system and gather suitable data during the time of disaster. Regular pieces of training for individuals can serve to be quite helpful in building and strengthening the resilient culture within Pakistan, one of the most disaster-prone areas.