A Conceptual Design of Smart Management System for Flooding Disaster

Disasters pose a real threat to the lives and property of citizens; therefore, it is necessary to reduce their impact to the minimum possible. In order to achieve this goal, a framework for enhancing the current disaster management system was proposed, called the smart disaster management system. The smart aspect of this system is due to the application of the principles of information and communication technology, especially the Internet of Things. All participants and activities of the proposed system were clarified by preparing a conceptual design by using The Unified Modeling Language diagrams. This effort was made to overcome the lack of citizens’ readiness towards the use of information and communication technology as well as increase their readiness towards disasters. This study aims to develop conceptual design that can facilitate in development of smart management system for flooding disaster. This will assist in the design process of the Internet of Things systems in this regard.

The Revolution in the Iranian Disaster Management System in Controlling COVID-19 Pandemic

Managing the disastrous consequences of pandemics depends on the capacity of the governments to mitigate them. As the health system in Iran was undertaking economic issues because of sanctions, the government has been forced to make major and urgent decisions while anticipating the economic, social, and political effects of the COVID-19 pandemic. Therefore, Iran has integrated all critical sections of the community to provide a unified command structure to involve all stakeholders. In this regard, we present a disaster management structure in response to the COVID-19 pandemic in Iran. We hope to provide information on the advantages that might change disaster management structure in pandemics.

Disaster Management Based on IoT Enable Monitoring Technique

The disasters can be either natural or man-made. Control and management of disaster of any kind is possible in effective and robust way by the implementation of IoT in the system. The objective of implementing IoT into the disaster management system is the quick and effective recovery from the disaster. The various methods that can be deployed after the disaster is outlined through utilization of IoT. This paper gives an insight on the various methods that can be effectively used after the disaster using IoT. The existing techniques are very well monitored and has the ability to react to the situation as per needs, this paper significantly provides the contribution in analyzing these techniques for appropriate disaster management development block.

Kajian Indeks Resiko Bencana dengan Kesiapan Puskesmas dalam Managemen Bencana Kesehatan di Kota Jambi

This study aims to see the service system during a health disaster in the city of Jambi, namely Tahtul Yaman Puskesmas, Tanjung Pinang Health Center, and Aurduri Health Center. The short-term target is to find organizational standards and the role of the puskesmas team in disasters. The research method used survey analytics to assess the roles and functions that were involved in the health disaster management system and to analyze the readiness of 3 health centers in the city of Jambi. From the results of this study, according to the application of the Minister of Health Regulation number 75 of 2019 at the Tahtul Yaman Puskesmas, the Tanjung Pinang Health Center, and the first Aurduri Health Center, it is obtained from (1) There is no clear program regarding disaster management in each cluster at the Puskesmas, ( 2) Rapid Health Assessment (RHA) has not been implemented in the event of a disaster, (3) The coordination flow for the Puskesmas already exists, namely through referrals to the Abdul Manap Regional General Hospital, Jambi City and the Jambi City Health Office.

Design and Development of High-Performance Intelligent Disaster Management System in IoT Paradigm – A Novel Architecture and Review on Challenges in real time Hazards Monitoring

In recent years India is suffering from various natural disaster which have great effect on social life of people and large burden on disaster management authority. The high frequency disaster causes a serious loss of property, life and present more complex damage. Disaster management involves the detailed process of disaster response. A High-Performance Intelligent Disaster Management System can realize the complete disaster avoidance and reduction from satellite mission planning, data production, data acquisition, with the application of remote sensing and managing integrated rapid service. The main objective of proposed work is to overcome the limitations of disaster management with a novel design and development of IoT based platform for the application of disaster management system.

Juridical review of disaster management policy in ASEAN and the correlation with the domestic management system of disaster in Indonesia

Southeast Asia was in a natural disaster thus the management was supposed to be a priority to the existing states in this territory. It is the most vulnerable to disaster in the world. By then, the member states of ASEAN agree to issue the regulation for disaster management, ASEAN Agreement on Disaster Management and Emergency Response (AADMER) that in forwarding established ASEAN Coordinating Centre for Humanitarian Assistance on Disaster Management (AHA Centre). It is facilitating cooperation and coordination for disaster management in the ASEAN territory. The organization was established in Indonesia as a member state with potential disaster. To reinforce the regulation and disaster management system, the government issues Act No.24 of 2007 on disaster management as the base and manual. The policy refers to the activities implemented immediately for an accident in control arising worst impact, involving rescue and evacuation of the victim, properties, compliance of demand, shelter, refugees handling, and facilities-infrastructure restoration. Moreover, the Act regulating disaster mitigation-based layout system set in an attempt to improve safety and living comfort.

The Rise of IoT and Big Data Analytics for Disaster Management Systems

Uninvited disasters wreak havoc on society, both economically and psychologically. These losses can be minimized if events can be anticipated ahead of time. The majority of large cities in developing countries with increasing populations are highly vulnerable disaster areas around the world. This is due to a lack of situational information in their authorities in the event of a crisis, which is due to a scarcity of resources. Both natural and human-induced disasters need to be pre-planned and reactive to minimize the risk of causalities and environmental/infrastructural disruption. Disaster recovery systems must also effectively obtain relevant information. The developments in big data and the internet of things (IoT) have made a greater contribution to accuracy and timely decision-making in the disaster management system (DMS). The chapter explains why IoT and big data are needed to cope with disasters, as well as how these technologies work to solve the problem.

September 2017 Mexico City Earthquakes

The chapter presents the results on the performance of the SASMEX during the 2017 earthquakes that hit Mexico City. The approach has been the use of a questionnaire-based survey to a sample population of N=2,400. The results are discussed in the context of a systemic disaster management system (SDMS) model. A summary of the key findings are: 1) for the 07 September earthquake, age and occupation were significantly associated with the performance of the SASMEX system, to the extent that young (13-20 years old) participants considered the early warning system as very useful; however, employees considered it as “not at all” useful; 2) for the 19 September earthquake, age and occupation were significantly associated with the SASMEX performance. In particular, the subjects in the over-50 range considered the system as “not at all” useful, and students and employees regarded it as “very useful”; 3) given 1 and 2, it is necessary to further educate the residents of the capital city on the functioning of the SASMEX system (e.g., its strengths and weaknesses, warning time, etc.).