Academic literature on the topic 'Early warning sirens'

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Journal articles on the topic "Early warning sirens"

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Mamat, Ahmad Fadhli, Mohammad Faiq Md Amin, Jaini Mahmood, et al. "Site Selection Study of Siren Early Warning System for Community Preparedness due to Potential Dam Calamity: Case Study of Kg Batu Melintang, Jeli, Kelantan." IOP Conference Series: Earth and Environmental Science 1453, no. 1 (2025): 012040. https://doi.org/10.1088/1755-1315/1453/1/012040.

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Abstract Effective early warning systems (EWS) for dam disasters rely heavily on the strategic placement of sirens to ensure comprehensive coverage and timely alerts. This study investigates the criteria and methodologies for optimizing siren placement, utilizing Geographic Information System (GIS) technology and multi-criteria decision analysis. By integrating data on population density, geographic features, and flood hydrodynamics, the study identifies optimal siren locations to maximize effectiveness. Population data from recent census reports, geographic data from topographic maps and sate
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Damayanti, Marsha Alvina, Sri Hapsari Wahyuningtyas, Dilean Zeva Balistyadhana, et al. "The IoT-Based Early Warning System for Detecting High Tide Floods (ROB-EWS) in Tambak Lorok, Semarang Indonesia." Journal of Geography, Environment and Earth Science International 28, no. 10 (2024): 13–24. http://dx.doi.org/10.9734/jgeesi/2024/v28i10822.

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Background and Objectives: The Tambaklorok fishing village area, located on the northern coast of Semarang City, Indonesia, is susceptible to sea level fluctuations, which often lead to tidal flooding and seawater encroaching into residential areas. Consequently, a seawater flood detector (rob) is needed for effective disaster mitigation for affected communities. This study aims to implement a disaster mitigation system by installing an IoT-based Seawater Flood (Rob) Early Warning System to reduce disaster risks and their impacts on the community. Methods: The IoT-based Early Warning System is
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Ismail, Ammar Asyraf, Muhammad Arief Azizi, and Asnazulfadhli Zariman. "Smart Water Level Indicator." International Journal of Recent Technology and Applied Science 2, no. 1 (2020): 48–58. http://dx.doi.org/10.36079/lamintang.ijortas-0201.59.

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Smart Water Level Indicator
 The Water Level Indicator is beneficial to the public, especially to residents living in rivers. This technology can provide early warnings to residents when the water level is occupying a dangerous level and facilitates workers who control the dam of the river. This technology can alert early through sirens and notifications / messages via smartphones as well as to the river dashboard controllers capable of controlling water gates through their smartphones. The worker who controls the dam of this river no longer needs to go back to the dam's door control hous
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Epifanov, Evgeniy, Viktor Asminin, and Svetlana Sazonova. "System analysis of acoustic properties of voice sirens." Modeling of systems and processes 17, no. 4 (2024): 42–53. https://doi.org/10.12737/2219-0767-2024-17-4-42-53.

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The acoustic properties of fire alarm systems are considered. The analysis and correction of the existing system of classification of fire alarm systems has been carried out. Shortcomings have been identified in the requirements for fire safety monitoring for voice alerts and for the certification testing procedure for fire-fighting voice alarms. The completeness of linguistic information, which is the basic standard for the required completeness of information for evacuees in case of fire, is analyzed. The structure of the sound field in the room is considered, taking into account interferenc
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Kumar, Pankaj, Kamal, Mukat Lal Sharma, Ravi Sankar Jakka, and Pratibha. "Uttarakhand State Earthquake Early Warning System: A Case Study of the Himalayan Environment." Sensors 24, no. 11 (2024): 3272. http://dx.doi.org/10.3390/s24113272.

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The increased seismic activity observed in the Himalayas, coupled with the expanding urbanization of the surrounding areas in northern India, poses significant risks to both human lives and property. Developing an earthquake early warning system in the region could help in alleviating these risks, especially benefiting cities and towns in mountainous and foothill regions close to potential earthquake epicenters. To address this concern, the government and the science and engineering community collaborated to establish the Uttarakhand State Earthquake Early Warning System (UEEWS). The governmen
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Saputro, Immanuela Puspasari, Vivie Deyby Kumenap, Megawati Salindeho, Junaidy Budi Sanger, and Angelia Melani Adrian. "Karangetang Mount Early Warning System using Inference Fuzzy Logic." E3S Web of Conferences 426 (2023): 01008. http://dx.doi.org/10.1051/e3sconf/202342601008.

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Mount Karangetang, located on Siau Island, SITARO Archipelago Regency, is one of Indonesia’s 127 active volcanoes, making it the nation most susceptible to volcanic eruptions. In 2015, an eruption resulted in the displacement of as many as 465 residents, the destruction of four homes, and the loss of gardens, animals, and property. In February of 2023, Mount Karangetang’s volcanic activity increased once more. This project seeks to aid the local Regional Disaster Management Agency in implementing preventative measures or evacuating residents; an early warning system for Mount Karangetang’s eru
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Fida, Laila, Sumaira Bano, Muhammad Imran, and Abid Ali. "Role of Gender in Flood Preparedness: Women's Perceptions of Early Warning Systems in Southern Punjab." Journal of Asian Development Studies 14, no. 2 (2025): 1058–68. https://doi.org/10.62345/jads.2025.14.2.83.

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Floods are one of the most devastating natural disasters in Pakistan, particularly affecting vulnerable communities in disaster-prone areas such as Dera Ghazi Khan. Women, being among the most vulnerable groups, face significant challenges during floods, including loss of shelter, livelihood disruptions, and health risks. This study aims to explore the perception of females regarding flood EWS in Dera Ghazi Khan, examining their level of awareness, sources of information, and the effectiveness of the existing warning mechanisms. The research employs a mixed-method approach, combining quantitat
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Otegui, Diego. "The Concealed Weaknesses of Strong Early Warning Systems. The Case of Mexico." Zeszyty Naukowe SGSP 74 (July 7, 2020): 93–111. http://dx.doi.org/10.5604/01.3001.0014.3024.

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Abstract In September 2017, in only 17 days, two enormous earthquakes triggered Mexico’s earthquake early warning system (EEWS) in a unique sequence of events that tested its capabilities. Through a series of unforeseen circumstances, including a test and an accident, during those two and a half weeks, the EEWS was also activated three additional times. The EEWS presents several remarkable strengths. Mexico’s entire emergency management system is relatively well resourced and has helped produce a more resilient culture that appreciates the alert system. Public agencies in all levels of governm
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Wiryadinata, R., A. Pratama, R. Fahrizal, T. Firmansyah, and R. Widyani. "Design of linked sirens for tsunami early warning system using telecontrol system (case study at PUSDALOPS PB BPBD of Cilegon city)." IOP Conference Series: Materials Science and Engineering 673 (December 10, 2019): 012057. http://dx.doi.org/10.1088/1757-899x/673/1/012057.

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Hadad, Sitna Hajar, Mudar Safi, Seh Turuy, Nurdin Rumaf, and Risandi J. Ismail. "Penerapan Teknologi IoT dan Ragam Sensor Dalam Sistem Monitoring Gelombang Laut sebagai Peringatan Dini." Building of Informatics, Technology and Science (BITS) 6, no. 3 (2024): 1869–77. https://doi.org/10.47065/bits.v6i3.6234.

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North Maluku has an archipelago so that community activities are mostly related to the sea, such as fishermen and people who use sea routes as a mode of transportation. Uncertain weather conditions resulting in heavy rainfall and high sea waves can threaten the safety of the community, especially the fishing community and people who use sea transportation modes. As happened some time ago, namely the sinking of KM Cahaya Arafa. KM Cahaya Arafa sank because it was hit by high sea waves so that it had an accident, namely drowning in the waters of Tokaka Village, South Halmahera Regency, North Mal
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Dissertations / Theses on the topic "Early warning sirens"

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Siliezar, Montoya Jonathan. "Multi-source modelling of urban sound environments." Electronic Thesis or Diss., Le Mans, 2024. http://www.theses.fr/2024LEMA1028.

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Le nombre de personnes vivant dans les villes ne cesse d'augmenter et l'on estime que d'ici 2050, près de 66 % des 9,5 milliards d'habitants de la planète seront des citadins. Avec l'urbanisation rapide, de nouveaux défis environnementaux en matière de développement durable et de santé publique sont devenus essentiels. De nombreux travaux de recherche ont mis en lumière les effets négatifs d'une exposition prolongée au bruit sur la santé humaine : augmentation du risque de maladies cardiovasculaires, santé mentale et troubles du sommeil. Selon le rapport de l'Agence européenne pour l'environne
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Books on the topic "Early warning sirens"

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DDS, Felix K. Liao. Early Sirens: Critical Health Warnings & Holistic Mouth Solutions for Snoring, Teeth Grinding, Jaw Clicking, Chronic Pain, Fatigue, and More. Crescendo Publishing, LLC, 2017.

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Book chapters on the topic "Early warning sirens"

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Melzer, Mark. "Sepsis—Recognition, Diagnosis, and Management in Adult Patients." In Tutorial Topics in Infection for the Combined Infection Training Programme. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198801740.003.0032.

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Sepsis is defined as life- threatening organ dysfunction caused by a detrimental host response to infection. Septic shock is a subset of sepsis in which underlying circulatory and cellular abnormalities are profound enough to substantially increase mortality. Septic shock is characterized by: ● The need for vasopressors to maintain mean arterial pressure (MAP) > 65mmHg despite adequate volume resuscitation. ● A serum lactate > 2mmol/L In lay terms, it is hypoperfusion with evidence of metabolic derangement. The mortality for both criteria is ~40%, compared to 20–30% for a single item. Pl
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Conference papers on the topic "Early warning sirens"

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Yusup, Dian Widi Astuti, and Hanif Cahyo Romadhon. "Analysis of Path Loss and Delay in Tsunami Early Warning Siren Based on DTMF Signals via VHF Frequency." In 2024 8th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2024. http://dx.doi.org/10.1109/icitisee63424.2024.10730694.

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Cervinka, David, Omar Salih, Zahir Ahmad, and Sujan Rajbhandari. "Reducing Noise Pollution of Emergency Vehicle Sirens with an Early Warning System." In 2018 11th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP). IEEE, 2018. http://dx.doi.org/10.1109/csndsp.2018.8471781.

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