Emerging trends in information and communication technology in mine safety and disaster management

There is tremendous growth in the use of Geographic Information Systems(GIS), Global Positioning Systems (GPS), Remote Sensing, Satellite Communication, andModeling & Simulation techniques.These tools and techniques helps significantly in characterizinginfrastructure, risk area and disaster zones, planning and implementation ofhazards reduction measures etc.Communication satellites becomes vital for providingemergency communication and timely relief measures.Integration of space technologyinputs into natural disaster monitoring and mitigation mechanisms is critical for hazard reduction.This paper mainly focused on all the issues described above.Major emphasis hadbeen given to the recent developments in information & communication technology enabledtools and their applications in mining industries for safe mining operations with increasedproductivity.

EA-RDSP: Energy Aware Rapidly Deployable Wireless Ad hoc System for Post Disaster Management

In post disaster scenarios such as war zones floods and earthquakes,the cellular communication infrastructure can be lost or severely damaged.In such emergency situations,remaining in contact with other rescue response teams in order to provide inputs for both headquarters and disaster survivors becomes very necessary.Therefore,in this research work,a design,implementation and evaluation of energy aware rapidly deployable system named EA-RDSP is proposed.The proposed research work assists the early rescue workers and victims to transmit their location information towards the remotely located servers.In EA-RDSP,two algorithms are proposed i.e.,Hop count Assignment(HCA)algorithm and Maximum Neighbor Selection(MNS)algorithm.The EA-RDSP contains three types of nodes;the client node sends information about casualty in the disaster area to the server,the relay nodes transmit this information from client node to server nodes via multi-hop transmission,the server node receives messages sent by client node to alert rescue teams.The EAM-RDSP contains three types of nodes;the client node sends information about casualty in the disaster area to the server,the relay nodes transmit this information from client node to server nodes via multi-hop transmission,the server node receives messages sent by client node to alert rescue teams.The proposed EA-RDSP scheme is simulated using NS2 simulator and its performance is compared with existing scheme in terms of end-to-end delay,message delivery ratio,network overhead and energy consumption.

Internet of Things Enabled Energy Aware Metaheuristic Clustering for Real Time Disaster Management

Wireless Sensor Networks(WSNs)are a major element of Internet of Things(IoT)networks which offer seamless sensing and wireless connectivity.Disaster management in smart cities can be considered as a safety critical application.Therefore,it becomes essential in ensuring network accessibility by improving the lifetime of IoT assisted WSN.Clustering and multihop routing are considered beneficial solutions to accomplish energy efficiency in IoT networks.This article designs an IoT enabled energy aware metaheuristic clustering with routing protocol for real time disaster management(EAMCR-RTDM).The proposed EAMCR-RTDM technique mainly intends to manage the energy utilization of nodes with the consideration of the features of the disaster region.To achieve this,EAMCR-RTDM technique primarily designs a yellow saddle goatfish based clustering(YSGF-C)technique to elect cluster heads(CHs)and organize clusters.In addition,enhanced cockroach swarm optimization(ECSO)based multihop routing(ECSO-MHR)approach was derived for optimal route selection.The YSGF-C and ECSO-MHR techniques compute fitness functions using different input variables for achieving improved energy efficiency and network lifetime.The design of YSGF-C and ECSO-MHR techniques for disaster management in IoT networks shows the novelty of the work.For examining the improved outcomes of the EAMCR-RTDM system,a wide range of simulations were performed and the extensive results are assessed in terms of different measures.The comparative outcomes highlighted the enhanced outcomes of the EAMCRRTDM algorithm over the existing approaches.

Earthquake Disaster Management and Insurance

As one of the most powerful tools to reduce the earthquake loss, the Earthquake Disaster Management [EDM] and Insurance [EI] have been highlighted and have had a great progress in many countries in recent years. Earthquake disaster management includes a series of contents, such as earthquake hazard and risk analysis, vulnerability analysis of building and infrastructure, earthquake aware training, and building the emergency response system. EI, which has been included in EDM after this practice has been...

Lens-Oppositional Wild Geese Optimization Based Clustering Scheme for Wireless Sensor Networks Assists Real Time Disaster Management

Recently,wireless sensor networks(WSNs)find their applicability in several real-time applications such as disaster management,military,surveillance,healthcare,etc.The utilization of WSNs in the disaster monitoring process has gained significant attention among research communities and governments.Real-time monitoring of disaster areas using WSN is a challenging process due to the energy-limited sensor nodes.Therefore,the clustering process can be utilized to improve the energy utilization of the nodes and thereby improve the overall functioning of the network.In this aspect,this study proposes a novel Lens-Oppositional Wild Goose Optimization based Energy Aware Clustering(LOWGO-EAC)scheme for WSN-assisted real-time disaster management.The major intention of the LOWGO-EAC scheme is to perform effective data collection and transmission processes in disaster regions.To achieve this,the LOWGOEAC technique derives a novel LOWGO algorithm by the integration of the lens oppositional-based learning(LOBL)concept with the traditional WGO algorithm to improve the convergence rate.In addition,the LOWGO-EAC technique derives a fitness function involving three input parameters like residual energy(RE),distance to the base station(BS)(DBS),and node degree(ND).The proposed LOWGO-EAC technique can accomplish improved energy efficiency and lifetime of WSNs in real-time disaster management scenarios.The experimental validation of the LOWGO-EAC model is carried out and the comparative study reported the enhanced performance of the LOWGO-EAC model over the recent approaches.

Assessment the Effectiveness of Preparedness for Relative Constant Factors in Environmental Disaster Management: A Case Study from Riyadh City, Saudi Arabia

The preparedness phase is considered as backbone of environmental disaster management. The aim of this study is to identify the effect of relatively constant factors of preparedness phase on environmental disaster management in Riyadh City, Saudi Arabia. The study used descriptive and analytical approach besides the comprehensive survey depends upon questionnaire for purposive data surveyed all employees in the field of environmental disaster management in Riyadh city including administrations, department, and contains 21 sector including public and private sector for total population of about 397 persons and sample size about 353 persons using statistical tests, frequencies, percentage, average, standard deviation and t test and × square test as well as Likert procedure on which depends on the measurement such as: very high, high, average, weak and very weak. The main results reveal that the constant factors of environmental disaster management are more important for evaluating the preparedness phase. Since the relatively constant factors of environmental disaster management are more important. The study recommends that: 1) Enhancement of the systems and procedures in particular disaster management procedures. 2) It is so necessary to publish a new unit for disaster management in the sectors have not. 3) Increase and encouragement of environmental disaster management studies in particular for preparedness phase because it considers as backbone of disaster management and suggestion of regional and local organizations link generally and in information trade off and the details studies in particular by providing the different types of support and encouragement.

Application of Social Media Tool in Disaster Management in Disaster-Prone Communities in Freetown, Sierra Leone

This study used both the “digital divide” and “attribution theory” to analyze the propensity of social media use by disaster-prone communities. The study focused on the variables that may affect how social media is used for disaster management. Structural equation modeling (SEM) was utilized in the study to analyze the data and test the hypotheses after using a survey questionnaire to collect the data. The study’s findings show that: 1) communities that are vulnerable to disasters are less likely to use social media for disaster management, 2) personal effort and intention to use social media for disaster management are positively correlated, and 3) task complexity and intention to use social media for disaster management are negatively correlated. The study added to the body of knowledge regarding the role social media plays in disaster management.

Earthquake Disaster Management Approach: The Case of Al-Ais, Medina Area in Saudi Arabia

The research tackles earthquakes as one of the most dangerous natural disasters. It defines disasters in general, which in turn include earthquakes, how to manage them, stages of their evolution, and their classification among other kinds of disasters such as hurricanes, floods, drought, desertification, etc. Afterwards, it tackles the impacts of disasters on man, buildings and infrastructure. It defines also the codes and laws existing in the Kingdom of Saudi Arabia to confront and treat the impacts of earthquakes in their different stages (before, during and after) and the authorities involved in managing them. Then, it moves to study the case of Al-Ais Earthquake, and identifies the points of deficiency in dealing with such a disaster. Moreover, the research tackles some global experiences in how to handle the situation, reaching to the presentation of a conceptual approach to confront disasters of earthquakes in their various stages.

International Cooperation on Space-Based Information for Disaster Management:Status and Perspectives

With the development of space technology, space-based information has become one of the important information resources for decision makers, and as such has played a key role during the major disasters which occurred worldwide in recent years. With global climate change and frequently occurring disasters, space-based

United Nations International Conference on Space-based Technologies for Disaster Management Held in Beijing

The United Nations International Conference on Space-based Technologies for Disaster Management, "Risk Assessment in the Context of Global Climate Change", was held in Beijing during November 7-9, 2012. The conference was co-organized by the United Nations Office for Outer Space Affairs (UNOOSA) and the Ministry of Civil affairs (MCA) of the People's Republic of China, in collaboration with the Ministry of Foreign Affairs of PRC, China National Space Administration (CNSA),

Application Geospatial Technology in Disaster Management

Disasters including natural and manmade make heavy losses in life and property each year. This subject can affect society, economy, and environment and can be a serious threat for development. In 10 years ago over 200 million people are have been effected both life and property. This figure is seven times more than losses in war. After the earthquake in Bam （a city in south Iran）, tsunami in south-eastern of Asia, fire in Australia, and other disasters, the management of disaster has been considered more than before. They have tried to use all facilities and equipment for reduction of disaster damage. Over 80% of necessary data in disaster management are spatial data. Spatial data and advanced technologies have an important role in disaster management because Geographic Information System （GIS） can help in identifying disaster points. GIS combines geospatial data, and hardware, software that can analyze data to produce information. GIS mainly involves saving and analysis of data according to spatial and attribute data. GIS can combine and analyze spatial and non-spatial data .We have made an attempt to consider disasters management according to facilities and role of Geospatial Technology in control of disaster （especially earthquake）.

Enhancing disaster management effectiveness: An integrated analysis of key factors and practical strategies through Structural Equation Modeling (SEM)and scopus data text mining

In the 21st century, the surge in natural and human-induced disasters necessitates robust disaster managementframeworks. This research addresses a critical gap, exploring dynamics in the successful implementation andperformance monitoring of disaster management. Focusing on eleven key elements like Vulnerability and RiskAssessment, Training, Disaster Preparedness, Communication, and Community Resilience, the study utilizesScopus Database for secondary data, employing Text Mining and MS-Excel for analysis and data management.IBM SPSS (26) and IBM AMOS (20) facilitate Exploratory Factor Analysis (EFA) and Structural Equation Modeling(SEM) for model evaluation.The research raises questions about crafting a comprehensive, adaptable model, understanding the interplaybetween vulnerability assessment, training, and disaster preparedness, and integrating effective communicationand collaboration. Findings offer actionable insights for policy, practice, and community resilience against disasters. By scrutinizing each factor's role and interactions, the research lays the groundwork for a flexible model.Ultimately, the study aspires to cultivate more resilient communities amid the escalating threats of an unpredictable world, fostering effective navigation and thriving.

Mapping Climate Services for Disaster Risk Management: A Systematic Review and Research Gaps from a Policy Process Perspective

Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.

The Pattern of Policy Change on Disaster Management in China:A Bibliometric Analysis of Policy Documents, 1949–2016

This article presents a comprehensive review of China's policy system for the management of natural hazard-induced disasters from 1949 to 2016 through a quantitative bibliometric analysis of 5472 policy documents on such disasters. It identifies four phases of China's evolving disaster management system, which focused on agriculture, economic development, government and professional capacity building, and disaster governance,respectively. Characteristics of policies and contributing factors of policy change in each of the four phases are discussed in depth. This article provides a quantitative foundation for understanding the dynamic policy change of the disaster management system in China with a particular emphasis on the governance capacity and may serve as a basis for exploring the potential pathways of transformation according to the Sendai Framework for Disaster Risk Reduction 2015–2030 and the Sustainable Development Goals.

Closing the Gaps in Disaster Management and Response:Drawing on Local Experiences with Cyclone Idai in Chimanimani,Zimbabwe

Cyclone Idai in Zimbabwe exposed deficiencies in the country's disaster management system.This study uses a phenomenological case exploration of the experiences of local residents in Rusitu Valley following cyclone-induced floods that affected the area in March 2019.Through capturing narratives of participants who were recruited through chain referrals,the research intends to understand how local actors,utilizing their local-based response systems,managed to fill in the voids that characterize disaster management practice in Zimbabwe.Results show that the participation of local"heroes"and"Samaritans,"by deploying their social networks,norms,relationships,practices,and modest ingenuity,helped to speed up response times and minimize threats to lives and livelihoods.Documentation of the stories of local actors about their disaster experiences also gives a richer picture of the Cyclone Idai disaster.Although the community response system also facilitated the operation of external disaster management agencies,their premature withdrawal tended to weaken the trust and values existing in the area,and created tensions between the disaster-affected people and other villagers.Given the delays in formal responses by the government and other external relief agencies,the practices of local actors,although spontaneous and largely uncoordinated,offer rich insights into the design and development of disaster management regimes.

An integrated geospatial information service system for disaster management in China

The Chinese Government and citizens face enormous challenges of disaster management as widespread devastation,economic damages,and loss of human lives caused by increasing natural disasters.Disaster management requires a complicated iterative process that includes disaster monitoring,early detection,forecasting,loss assessment,and efficient analysis of disaster reduction.Each task typically involves the use of technologists and multiple geospatial information resources,including sensors,data sources,models,geo-tools,software packages,and computing resources.However,most existing disaster management systems operate in a typical passive data-centric mode,where resources cannot be fully utilized.This impediment is partially being addressed by the increasingly complex application requirements and the growing availability of diverse resources.In this paper,we summarize and analyze the practical problems experienced by the National Disaster Reduction Application System of China.To address the issues of data-centric,centralized,isolated solutions,we propose a novel Focusing Service Mechanism,which is capable of scheduling and allocating for optimum utilization of multiple resources,to dynamically generate collaborative and on-demand disaster information services.We also demonstrate the design and implementation of the Integrated Disaster Information Service System(IDISS).Through the service strategies of Virtualizing,Wrapping,and Integrating,disasterrelated resources are constructed into services in the IDISS.These services are dynamically aggregated into focusing service chains,for diverse disaster management tasks.Actual applications illustrate that the proposed service system can significantly improve the capability of disaster management in China.

Toward Interoperable Multi‑hazard Modeling: A Disaster Management System for Disaster Model Service Chain

A natural hazard-related disaster event often causes a series of secondary disasters, forming a disaster chain. Modeling the evolution of disaster chains in multihazard scenarios is crucial for risk governance and urban resilience. However, existing multi-hazard models are limited by complex model design and fixed disaster types, making it impossible to ensure flexible reactions to complex and diverse scenarios. This study presents a disaster management system for disaster model service chain(DMSC) to implement interoperable multi-hazard modeling. To achieve efficient model interaction in the DMSC, a management module is designed to normalize heterogeneous single-hazard models based on disaster system theory and the Open Geospatial Consortium standards, enabling them to be accessible,reusable, and interoperable. The normalized models are then adaptively orchestrated through an orchestration module to establish optimal executable DMSCs for different multihazard scenarios. Taking an earthquake disaster chain as a case study, we demonstrate that the disaster management system shows stable and flexible performance for multihazard modeling.

Navigating Interoperability in Disaster Management:Insights of Current Trends and Challenges in Saudi Arabia

In this rapid review,we critically scrutinize the disaster management infrastructure in Saudi Arabia,illuminating pivotal issues of interoperability,global cooperation,established procedures,community readiness,and the integration of cuttingedge technologies.Our exploration uncovers a significant convergence with international benchmarks,while pinpointing areas primed for enhancement.We recognize that continual commitments to infrastructural progression and technology adoption are indispensable.Moreover,we underscore the value of robust community involvement and cross-border collaborations as key factors in bolstering disaster response capabilities.Importantly,we spotlight the transformative influence of emerging technologies,such as artificial intelligence and the Internet of Things,in elevating the effectiveness of disaster management strategies.Our review champions in all-encompassing approach to disaster management,which entails harnessing innovative technologies,nurturing resilient communities,and promoting comprehensive disaster management strategies,encapsulating planning,preparedness,response,and recovery.As a result of our analysis,we provide actionable recommendations to advance Saudi Arabia's disaster management framework.Our insights are timely and crucial,considering the escalating global focus on disaster response in the face of increasing disaster and humanitarian events.

Examining the Factors that Influence the Use of Social Media for Disaster Management by Underserved Communities

This study examined the propensity of social media use by underserved communities by drawing on the literature on the digital divide and attribution theory.Specifically,this research explored the factors that can influence the use of social media for disaster management.The study used survey methodology to collect data and partial least squares structural equation modeling(PLSSEM)to analyze the data and test the hypotheses.The results of the study indicate:(1)that the propensity of social media use for disaster management is low for underserved communities;(2)a positive relationship between an individual’s effort and the intention to use social media for disaster management;and(3)a negative relationship between task difficulty and the intention to use social media for disaster management.The study expanded the literature on the use of social media in disaster management.The article also provides both theoretical and practical implications.

The Dynamics of Interorganizational Collaboration in Disaster Management:A Network Study Based on Flood Disasters in China

Interorganizational collaboration networks have become an important tool for disaster management.However,research on how different organizations can effectively collaborate throughout the entire disaster management process in centralized states such as China is scarce.This study begins to fill this lacuna by investigating interorganizational collaboration in different phases of disaster management and analyzing changes in the structure of the networks constructed during the preparedness and response phases of the 2020 flood disaster in Hubei Province,China.Building on the complex adaptive systems(CAS)theory,we argue that interorganizational collaboration changes dynamically according to its tasks and requirements.In the preparedness phase,interorganizational collaborations primarily follow established plans and choose horizontal selforganized collaboration mechanisms.However,when the urgent information and resource requirements increase in the response phase,many organizations choose vertical mandatory collaboration mechanisms.We found that organizations at the central and provincial levels in China were well positioned to coordinate information and resources and strengthen the interorganizational collaboration and communication that is crucial in disaster management.These findings contribute to the study of interorganizational collaboration networks in disaster management.