Emergency Response Use Research Articles

Effects of cavitation and erosion on submersible drainage pumps: A numerical study

Submersible drainage pumps are used around the world both residentially and industrially for draining water and sewage. However, these pumps are prone to wear and clogging when the flows inward contain particles and air bubbles, and the combined effects of cavitation and erosion directly affect the performance of such pumps and degrade their efficiency. Therefore, it is essential to design a submersible pump that mitigates the adverse effects of cavitation and erosion. Reported here is an energy-efficient submersible drainage pump for use in emergency response. The combined cavitation–erosion effects are established in order to reduce their adverse impact on the pump, and how erosion wear affects the cavitation characteristics of the water in the pump is investigated. An experiment was conducted to verify the numerical results pump, and then, the influences of particle concentration and size on two-stage existing and altered model submersible pumps were analyzed using computational fluid dynamics. The results show that the performance of the altered model pump increased by 4.34%, with the cavitation–erosion effects reduced significantly. In addition, higher particle concentration induced higher erosion rates at both the leading and trailing edges of the impeller blades. Furthermore, the altered model significantly reduced the cavitation–erosion impact on the pump impeller blades compared to the existing model.

Social Media Use in Emergency Response to Natural Disasters: A Systematic Review With a Public Health Perspective.

Social media research during natural disasters has been presented as a tool to guide response and relief efforts in the disciplines of geography and computer sciences. This systematic review highlights the public health implications of social media use in the response phase of the emergency, assessing (1) how social media can improve the dissemination of emergency warning and response information during and after a natural disaster, and (2) how social media can help identify physical, medical, functional, and emotional needs after a natural disaster. We surveyed the literature using 3 databases and included 44 research articles. We found that analyses of social media data were performed using a wide range of spatiotemporal scales. Social media platforms were identified as broadcasting tools presenting an opportunity for public health agencies to share emergency warnings. Social media was used as a tool to identify areas in need of relief operations or medical assistance by using self-reported location, with map development as a common method to visualize data. In retrospective analyses, social media analysis showed promise as an opportunity to reduce the time of response and to identify the individuals' location. Further research for misinformation and rumor control using social media is needed.

A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation

Location information for events, assets, and individuals, mostly focusing on two dimensions so far, has triggered a multitude of applications across different verticals, such as consumer, networking, industrial, health care, public safety, and emergency response use cases. To fully exploit the potential of location awareness and enable new advanced location-based services, localization algorithms need to be combined with complementary technologies including accurate height estimation, i.e., three dimensional location, reliable user mobility classification, and efficient indoor mapping solutions. This survey provides a comprehensive review of such enabling technologies. In particular, we present cellular localization systems including recent results on 5G localization, and solutions based on wireless local area networks, highlighting those that are capable of computing 3D location in multi-floor indoor environments. We overview range-free localization schemes, which have been traditionally explored in wireless sensor networks and are nowadays gaining attention for several envisioned Internet of Things applications. We also present user mobility estimation techniques, particularly those applicable in cellular networks, that can improve localization and tracking accuracy. Regarding the mapping of physical space inside buildings for aiding tracking and navigation applications, we study recent advances and focus on smartphone-based indoor simultaneous localization and mapping approaches. The survey concludes with service availability and system scalability considerations, as well as security and privacy concerns in location architectures, discusses the technology roadmap, and identifies future research directions.

Considerations and benefits of implementing an online database tool for business continuity

In today’s challenging climate of ongoing fiscal restraints, limited resources and complex organisational structures there is an acute need to investigate opportunities to facilitate enhanced delivery of business continuity programmes while maintaining or increasing acceptable levels of service delivery. In 2013, Health Emergency Management British Columbia (HEMBC), responsible for emergency management and business continuity activities across British Columbia’s health sector, transitioned its business continuity programme from a manual to automated process with the development of a customised online database, known as the Health Emergency Management Assessment Tool (HEMAT). Key benefits to date include a more efficient business continuity input process, immediate situational awareness for use in emergency response and/or advanced planning and streamlined analyses for generation of reports.

Knowledge transfer between preparedness and emergency response: a case study

PurposeThe purpose of this paper is to study the transfer of knowledge between preparedness activities and emergency response at the municipal level to improve emergency response.Design/methodology/approachA case study was carried out in the municipality of Ljungby using prewritten questions to analyse the collected empirical material. This material consisted of both municipality documents and interviews. The investigation involved municipal units that participate in emergency preparedness activities and those involved in the emergency response to a violent storm Gudrun that took place in 2005.FindingsThe findings show that the people in charge of the immediate response to the storm did not effectively use the analytic preparations created by those responsible for planning and preparations. Indeed to a great extent they used general response patterns and functions discovered from their own earlier experiences. These findings led to the development of a preliminary draft of requirements for a well‐functioning knowledge transfer from emergency preparedness work to response.Research limitations/implicationsThe paper demonstrates a need for municipalities to develop methods to increase transfer of knowledge of preparedness plans and analyses to improve response.Originality/valueThe paper shows that there is a potential to improve the preparedness process to reduce the gap between preparedness planning and its use in emergency response. The paper suggests a preliminary proposal for developing preparedness activities (in particular risk and vulnerability analyses) more suitable for emergency response.

Volcanic Ash Forecast Transport And Dispersion (VAFTAD) Model

Abstract The National Oceanic and Atmospheric Administration (NOAA) Air Resources Laboratory (ARL) has developed a Volcanic Ash Forecast Transport And Dispersion (VAFTAD) model for emergency response use focusing on hazards to aircraft flight operations. The model is run on a workstation at ARL. Meteorological input for the model is automatically downloaded from the NOAA National Meteorological Center (NMC) twice-daily forecast model runs to ARL. Additional input for VAFTAD regarding the volcanic eruption is supplied by the user guided by monitor prompts. The model calculates transport and dispersion of volcanic ash from an initial ash cloud that has reached its maximum height within 3 h of eruption time. The model assumes that spherical ash particles of diameters ranging from 0.3 to 30 µm are distributed throughout the initial cloud with a particle number distribution based on Mount St. Helens and Redoubt Volcano eruptions. Particles are advected horizontally and vertically by the winds and fall accordin...