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Journal articles on the topic 'Integrated Early Warning Systems'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Strobeyko, Adam, and Gian Luca Burci. "Towards Integrated Early Warning Systems." Yearbook of International Disaster Law Online 4, no. 1 (2023): 358–81. http://dx.doi.org/10.1163/26662531_00401_017.

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Hürster, Walter, Thomas Wilbois, and Fernando Chaves. "An Integrated Systems Approach for Early Warning and Risk Management Systems." International Journal of Information Technologies and Systems Approach 3, no. 2 (2010): 46–56. http://dx.doi.org/10.4018/jitsa.2010070104.

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An integrated and interdisciplinary approach to Early Warning and Risk Management is described in this paper as well as the general technical implementation of Early Warning and Risk Management Systems. Based on this systems approach, a concept has been developed for the design of an Integrated System for Coastal Protection. In addition to this, as a prototype implementation of a modern environmental monitoring and surveillance system, a system for the Remote Monitoring of Nuclear Power Plants is presented here in more detail, including a Web Portal to allow for public access. The concept, the

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Barla, M., and F. Antolini. "An integrated methodology for landslides’ early warning systems." Landslides 13, no. 2 (2015): 215–28. http://dx.doi.org/10.1007/s10346-015-0563-8.

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GANAPATHY, Ganapathy, Aditi NATH, Vladislav ZAALISHVILI, and Olga BURDZIEVA. "Building sustainable and resilient communities with landslide early warning systems: A review of best practices." Sustainable Development of Mountain Territories 15, no. 4 (2023): 1007–22. http://dx.doi.org/10.21177/1998-4502-2023-15-4-1007-1022.

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Introduction. Landslides are an important natural phenomenon that can have significant impacts on human communities and the environment. They can cause property damage, injury, and loss of life, making it crucial to understand their potential hazards. Materials and Methods. In this study, a systematic search was performed on Scopus database to collect relevant literature on community-based landslide early warning systems from global sources. The search utilized various keywords, including “Integrated early warning system,” “landslide early warning systems,” “community-based early warning syste

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Waidyanatha, Nuwan. "Towards a typology of integrated functional early warning systems." International Journal of Critical Infrastructures 6, no. 1 (2010): 31. http://dx.doi.org/10.1504/ijcis.2010.029575.

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Nguyen, Trong Gia, Quy Ngoc Bui, Quang Ngoc Pham, Cuong Van Nguyen, Phuong Thanh Nguyen, and Tung Son Vu. "Developing an application within the coastal flood risk warning system: Pilot study in Quang Nam province." Journal of Mining and Earth Sciences 65, no. 5 (2024): 41–49. http://dx.doi.org/10.46326/jmes.2024.65(5).05.

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Flooding is one of the common natural hazards in coastal areas of Vietnam, attributed to the influence of climate change. Establishing a robust infrastructure and tools to support flood warning systems is crucial and necessary to enhance the effectiveness of early warnings. An integrated warning mechanism comprises physical components (such as sensors and computers), software applications for data processing and analysis, databases, and stakeholders including governmental agencies and local communities. Among these, community participation is a crucial aspect, aiding in the collection and diss

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Sirenko, Anatolii P. "The early warning systems about landslide hazards in Ukraine." Environmental safety and natural resources 37, no. 1 (2021): 83–94. http://dx.doi.org/10.32347/2411-4049.2021.1.83-94.

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Early warning systems are an effective tool for preventing and mitigating the risks associated with the occurrences of various types of threats (including landslides). The paper presents and describes the concept and practical implementation of the new integrated methodology for early warning systems based on the integration of modern monitoring technologies and comprehensive numerical modeling of an object under study. Designing, testing and operation of monitoring systems of complex and unique construction objects have a lot of difficulties, need system knowledge in several spheres of scienc

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Amato, Laura, Maria Dente, Paolo Calistri, and Silvia Declich. "Integrated Early Warning Surveillance: Achilles′ Heel of One Health?" Microorganisms 8, no. 1 (2020): 84. http://dx.doi.org/10.3390/microorganisms8010084.

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Emerging and re-emerging infectious diseases and zoonoses indicate the importance of the One Health (OH) approach for early warning. At present, even when surveillance data are available, they are infrequently timeously shared between the health sectors. In the context of the MediLabSecure (MLS) Project, we investigated the collection of a set of surveillance indicators able to provide data for the implementation of integrated early warning systems in the 22 MLS countries of the Mediterranean, Black Sea and Sahel regions. We used an online questionnaire (covering vector, human, and animal sect

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Fathani, Teuku Faisal, Dwikorita Karnawati, and Wahyu Wilopo. "An integrated methodology to develop a standard for landslide early warning systems." Natural Hazards and Earth System Sciences 16, no. 9 (2016): 2123–35. http://dx.doi.org/10.5194/nhess-16-2123-2016.

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Abstract. Landslides are one of the most widespread and commonly occurring natural hazards. In regions of high vulnerability, these complex hazards can cause significant negative social and economic impacts. Considering the worldwide susceptibility to landslides, it is necessary to establish a standard for early warning systems specific to landslide disaster risk reduction. This standard would provide guidance in conducting landslide detection, prediction, interpretation, and response. This paper proposes a new standard consisting of seven sub-systems for landslide early warning. These include

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Bhimjee, Diptes C. P. "Adaptive Early Warning Systems: An Axiomatic Approach." Journal of Central Banking Theory and Practice 11, no. 2 (2022): 145–64. http://dx.doi.org/10.2478/jcbtp-2022-0017.

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Abstract The U.S. Subprime Crisis and the subsequent Great Recession have highlighted a renewed interest in the proper design and implementation of Early Warning Systems (E.W.S.), in order to help deter the onset of subsequent extreme financial events, through the implementation of adequate crisis detection mechanisms. The present article describes the Adaptive Early Warning Systems (A.E.W.S.) axiomatic approach, as a natural operational extension to E.W.S. testing. This novel protocol upholds the operational dimension of implementing an efficient holistic crisis detection mechanism, a domain

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Cheng, Zhenpeng, Chaoyong Peng, and Meirong Chen. "Real-Time Seismic Intensity Measurements Prediction for Earthquake Early Warning: A Systematic Literature Review." Sensors 23, no. 11 (2023): 5052. http://dx.doi.org/10.3390/s23115052.

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With the gradual development of and improvement in earthquake early warning systems (EEWS), more accurate real-time seismic intensity measurements (IMs) methods are needed to assess the impact range of earthquake intensities. Although traditional point source warning systems have made some progress in terms of predicting earthquake source parameters, they are still inadequate at assessing the accuracy of IMs predictions. In this paper, we aim to explore the current state of the field by reviewing real-time seismic IMs methods. First, we analyze different views on the ultimate earthquake magnit

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Lendholt, Matthias. "Towards an Integrated Information Logistics for Multi Hazard Early Warning Systems." Open Environmental Engineering Journal 5, no. 1 (2012): 27–43. http://dx.doi.org/10.2174/1874829501205010027.

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Esposito, Marco, Lorenzo Palma, Alberto Belli, Luisiana Sabbatini, and Paola Pierleoni. "Recent Advances in Internet of Things Solutions for Early Warning Systems: A Review." Sensors 22, no. 6 (2022): 2124. http://dx.doi.org/10.3390/s22062124.

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Natural disasters cause enormous damage and losses every year, both economic and in terms of human lives. It is essential to develop systems to predict disasters and to generate and disseminate timely warnings. Recently, technologies such as the Internet of Things solutions have been integrated into alert systems to provide an effective method to gather environmental data and produce alerts. This work reviews the literature regarding Internet of Things solutions in the field of Early Warning for different natural disasters: floods, earthquakes, tsunamis, and landslides. The aim of the paper is

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Lin, Pei-Yang. "A successful approach to earthquake early warning systems." Impact 2019, no. 9 (2019): 18–20. http://dx.doi.org/10.21820/23987073.2019.9.18.

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The goal of an earthquake early warning system (EEW) is to identify where and when an earthquake has occurred and then warn those in danger. We think of earthquakes as happening instantaneously but from the detection of the initial event there is time until the effects are noticed. An early warning of even 6 to 19 seconds could allow sensitive infrastructure like factories or power plants to enact automated precautions, reducing damage and allowing for quicker recovery. Warnings of 30 seconds could prevent 95 per cent of potential mortalities in some large cities. It is exactly these crucial s

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Zhu, Jiang. "Research on Integrated Management of Logistics Economy Based on Internet of Things." Wireless Communications and Mobile Computing 2022 (April 8, 2022): 1–7. http://dx.doi.org/10.1155/2022/5441954.

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In order to study the management and control ability of the government affairs 4.0 system on the logistics economic park and improve the data prediction and data early warning sensitivity of the economic management information system in the logistics economic park, this study recombs the basic model of the logistics economic park and puts forward the development model of the inward logistics economic park. Based on this model, a logistics economic big data system is built, and a data early warning model based on machine learning is designed. In the simulation verification, it is found that the

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PL, Ortiz Bulto. "Cuban Approaches to Climate and Health Studies in Tropics Early Warning System and Learned Lessons." Virology & Immunology Journal 5, no. 3 (2021): 1–7. http://dx.doi.org/10.23880/vij-16000282.

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Infectious diseases are sensitive to variations and climate change, causing impacts on health systems in the countries. Current climatic conditions favor the appearance of outbreaks and the circulation of new viruses such as SARS COV2. To alert such dangers, the creation of specialized warning systems for the health sector from climatic conditions is currently a global priority. This requires intense collaboration between medical and environmental communication, with new work approaches and methods for forecasting, using integrated climatic and epidemiological information. The objective of thi

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Pumo, D., A. Francipane, F. Lo Conti, et al. "The SESAMO early warning system for rainfall-triggered landslides." Journal of Hydroinformatics 18, no. 2 (2015): 256–76. http://dx.doi.org/10.2166/hydro.2015.060.

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The development of Web-based information systems coupled with advanced monitoring systems could prove to be extremely useful in landslide risk management and mitigation. A new frontier in the field of rainfall-triggered landslides (RTLs) lies in the real-time modelling of the relationship between rainfall and slope stability; this requires an intensive monitoring of some key parameters that could be achieved through the use of modern and often low-cost technologies. This work describes an integrated information system for early warning of RTLs that has been deployed and tested, in a prototypal

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18

Intrieri, Emanuele, Federica Bardi, Riccardo Fanti, et al. "Big data managing in a landslide early warning system: experience from a ground-based interferometric radar application." Natural Hazards and Earth System Sciences 17, no. 10 (2017): 1713–23. http://dx.doi.org/10.5194/nhess-17-1713-2017.

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Abstract. A big challenge in terms or landslide risk mitigation is represented by increasing the resiliency of society exposed to the risk. Among the possible strategies with which to reach this goal, there is the implementation of early warning systems. This paper describes a procedure to improve early warning activities in areas affected by high landslide risk, such as those classified as critical infrastructures for their central role in society. This research is part of the project LEWIS (Landslides Early Warning Integrated System): An Integrated System for Landslide Monitoring, Early Warn

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Sun, Fuyu, Hua Wang, and Jianping Zhou. "Research and development techniques for early-warning satellite systems using concurrent engineering." Concurrent Engineering 26, no. 3 (2018): 215–30. http://dx.doi.org/10.1177/1063293x18768668.

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An early-warning satellite system is a complex project that requires the participation of many aerospace academies and scientific institutions. In terms of software programming, this study proposes a new simulation integrated management platform for the analysis of parallel and distributed systems. The platform facilitates the design and testing of both applications and architectures. To improve the efficiency of project development, new early-warning satellite systems are designed based on the simulation integrated management platform. In terms of project management, this study applies concur

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Brimicombe, Chloe, Jennifer D. Runkle, Cascade Tuholske, et al. "Preventing heat-related deaths: The urgent need for a global early warning system for heat." PLOS Climate 3, no. 7 (2024): e0000437. http://dx.doi.org/10.1371/journal.pclm.0000437.

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Heatwaves are the deadliest weather hazard and people and societies across the world continue to suffer from heat-related impacts. Future climate projections show a troubling increase in cross-sectoral impacts including health and economic risk presented by heatwaves. Many weather hazards such as floods and droughts already have a type of Early Warning System (EWS) or Global Alert System, but a global heat early warning system currently does not exist. An accurate heat EWS can save lives and can promote heat adaptation across society. Here, we (1) explore the history of Early Warning Systems a

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Li, Shan, Bin Feng, Wei Zhang, Yubin Feng, and Zhidu Huang. "Distribution Network Disaster Early Warning and Production Decision Support System Based on Multisource Data." Mathematical Problems in Engineering 2023 (May 26, 2023): 1–10. http://dx.doi.org/10.1155/2023/8929066.

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Aiming at the problems of long warning time and low warning accuracy in the traditional distribution network disaster early warning and production decision support systems, a distribution network disaster early warning and production decision support system based on multisource data is designed. The forecast information is collected through the data collector, the wind load and lightning trip rate of the line are calculated, all of the information is integrated together for multisource data fusion processing, and the distribution network disaster early warning model is constructed in accordanc

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Ramakrishna Phani Pammi, Et al. "Decision Support Systems for Coastal Resilience: The Role of Early Warning Systems and Validation." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 1232–39. http://dx.doi.org/10.17762/ijritcc.v11i9.9039.

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This study presents an advanced Integrated Ocean Forecast Decision Support System (DSS) crafted to elevate ocean forecasting capabilities and enable well-informed decision-making, with a specific focus on the Indian Ocean region. The DSS has a visualization module for scientific inference and spatial analysis. It also has a validation component where each weather model is checked against observations from coastal buoys, open ocean buoys, and ASCAT and SCATSAT satellite data. The system integrates the operational forecasts and observation data and automatically informs the users of the best-cor

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TKALICH, PAVEL, MY HA DAO, and ENG SOON CHAN. "TSUNAMI PROPAGATION MODELING AND FORECASTING FOR EARLY WARNING SYSTEM." Journal of Earthquake and Tsunami 01, no. 01 (2007): 87–98. http://dx.doi.org/10.1142/s1793431107000067.

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After the devastating Indian Ocean 2004 Tsunami, coastal economies around the Indian Ocean have been reminded of the necessity to make well-coordinated efforts to deal with the tsunami problem. An integrated socio-technological infrastructure has to be built, with key tasks including advanced sensors, reliable communication networks, fast predictive algorithms, early warning systems, and educational outreach. This paper highlights the key features of a prediction system under development in Singapore in support of the early warning system being developed in the region.

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Yang, Xue, Hao Wang, and Hui Lu. "Hotspots and Trends in Research on Early Warning of Infectious Diseases: A Bibliometric Analysis Using CiteSpace." Healthcare 13, no. 11 (2025): 1293. https://doi.org/10.3390/healthcare13111293.

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Background: Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises and public health problems worldwide. Epidemics appear to be more frequent, complex, and harder to prevent. Early warning systems can significantly reduce outbreak response times, contributing to better patient outcomes. Improving early warning systems and methods might be one of the most effective responses. This study employs a bibliometric analysis to dissect the global research hotspots and evolutionary trends in the field of infectious disease early warning, with the aim of provid

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Sättele, M., M. Bründl, and D. Straub. "Quantifying the effectiveness of early warning systems for natural hazards." Natural Hazards and Earth System Sciences 16, no. 1 (2016): 149–66. http://dx.doi.org/10.5194/nhess-16-149-2016.

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Abstract. Early warning systems (EWSs) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To support decision-makers in the identification of optimal risk mitigation measures, a three-step framework approach for the evaluation of EWSs is presented. The effectiveness is calculated in function of the technical and the inherent reliability of the EWS. The framework is applicable to automated and non-automated EWSs and combinati

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Sättele, M., M. Bründl, and D. Straub. "Quantifying the effectiveness of early warning systems for natural hazards." Natural Hazards and Earth System Sciences Discussions 3, no. 7 (2015): 4479–526. http://dx.doi.org/10.5194/nhessd-3-4479-2015.

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Abstract. Early warning systems (EWS) are increasingly applied as preventive measures within an integrated risk management approach for natural hazards. At present, common standards and detailed guidelines for the evaluation of their effectiveness are lacking. To support decision-makers in the identification of optimal risk mitigation measures, a three-step framework approach for the evaluation of EWS is presented. The effectiveness is calculated in function of the technical and the inherent reliability of the EWS. The framework is applicable to automated and non-automated EWS and combinations

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Yu, Ran, Jiao Jiao Zhang, Hong Fei Xu, and Shen Jin. "An Integrated Electricity Information Security Monitoring Platform." Applied Mechanics and Materials 701-702 (December 2014): 947–51. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.947.

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An integrated electricity information security monitoring platform is presented, electrical information security integrated real-time monitoring of the state power applied information security systems, security equipment, network equipment, network boundaries, desktop computers, to improve information security monitoring, early warning, emergency response and defense capabilities to protect IT hardware, software and network security, which can guarantee continuous, reliable and efficient operation.

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Pham, Thanh-Nam, and Duc-Tho Mai. "A Mobile Robot Design for Home Security Systems." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 14882–87. http://dx.doi.org/10.48084/etasr.7336.

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Home Security Systems (HSSs) have received much attention and have been widely adopted for practical deployment. However, detection and warning accuracy still need to be improved, along with the range of the realm, making it challenging to satisfy the user demands. This study proposes a security monitoring system based on mobile robots and the Internet of Things (IoT), allowing users to monitor and control devices remotely. The mobile robot integrated sensor systems and surveillance cameras are utilized for unauthorized early intrusion detection and to give users instant warnings. The data col

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Scalici, Massimiliano, Monica Colamartino, Federica Spani, et al. "Integrated early warning systems in marine bivalves reveal detrimental alterations of coastal habitats." Hydrobiologia 847, no. 11 (2020): 2573–85. http://dx.doi.org/10.1007/s10750-020-04275-1.

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Kibiwot Tireito, Stanley, Dr Wangari Jennifer, and Dr Kimani Sabas. "Effectiveness of Early Warning Systems in Enhancing Food Security in Pokot Central Sub County, West Pokot County, Kenya." International Journal of Research and Innovation in Social Science VIII, no. VIII (2024): 4319–25. http://dx.doi.org/10.47772/ijriss.2024.8080330.

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Pokot Central Sub County in West Pokot County, Kenya, is the most drought-stricken and food-insecure region as of 2022. The region faces severe threats to agriculture and food accessibility, exacerbated by delayed, reactive drought response strategies and limited resources. This study evaluated the effectiveness of early warning systems in enhancing food security during drought periods. The study used vulnerability and resilience and complex adaptive systems theories to explore these interrelationships. A mixed-method approach with a convergent parallel design was adopted, targeting 22,041 hou

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Iordache, Mihai. "Systems on Board the NATO E-3A Platform." Scientific Bulletin 25, no. 2 (2020): 103–6. http://dx.doi.org/10.2478/bsaft-2020-0014.

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AbstractThe article highlights the importance of the systems on board the NATO E-3A platform and how they influence the mission and work of the aircrew. The E-3A is an Airborne Early Warning & Control (AEW&C) system designed to provide early warning information to battle managers through surveillance of airborne and maritime objects, and to provide aircraft control capabilities. Even though the system is integrated on the old airframe of Boeing 707, in the past 35 years there have been numerous upgrades. The biggest upgrade of them all is the conversion of the entire fleet of aircraft

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Guo, Jie, and Wenyan Wang. "The Application of the Data Mining Method Based on Ensemble Learning to the Research on Early Warning of Financial Crisis in Small- and Medium-Sized Enterprises." Wireless Communications and Mobile Computing 2022 (July 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/8443988.

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In the big data environment, the factors affecting the operation of small- and medium-sized enterprises are becoming more and more complex. In order to more accurately measure the financial crisis of small- and medium-sized enterprises, from the perspective of multisource information fusion, based on the traditional financial data reflecting the private information of enterprises, the public information data for measuring the macroeconomic and market environment are integrated and analyzed. Considering the multidimensional heterogeneity of multisource information data, BPNN, SVM, KNN, LOG, and

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Wang, Wenqi, Yuhong Sun, and Jing Wu. "Environmental Warning System Based on the DPSIR Model: A Practical and Concise Method for Environmental Assessment." Sustainability 10, no. 6 (2018): 1728. http://dx.doi.org/10.3390/su10061728.

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Though we are in urgent need of environmental warnings to slow environmental deterioration, currently, there is no internationally concise method for environmental warnings. In addition, the existing approaches do not combine the three aspects of ecology, resources, and environment. At the same time, the three elements of the environment (air, water, and soil) are separated in most environmental warning systems. Thus, the method this paper gives is an innovative attempt and aims to make environmental assessment more practical. This paper establishes the index system of an environmental early w

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Amoah, Papa K., Christopher E. Sunday, Chukwudi Okoro, et al. "(Invited) Towards the Physical Reliability of 3D-Integrated Systems: Broadband Dielectric Spectroscopic (BDS) Studies of Material Evolution and Reliability in Integrated Systems." ECS Transactions 109, no. 2 (2022): 41–49. http://dx.doi.org/10.1149/10902.0041ecst.

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In this paper, we present an overview of our current research focus in developing non-destructive metrology for monitoring reliability issues in 3D- integrated electronic systems. We introduce a suite of non-destructive metrologies that can serve as early warning monitors for reliability issues. These Broadband Dielectric Spectroscopic (BDS) techniques are based on the application of high frequency microwaves (up to 40 GHz) to devices under various external stress, to probe impedance changes due to material and structural changes in integrated circuits. We illustrate the capabilities of the te

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Dong, Gui Hong, Jian Bo Xiong, Sheng Nian Wang, and Zhi Hong Fan. "Implementation of Corrosion Intelligent Monitoring and Durability early Warning Expert System for the Large Marine Environmental Engineering Concrete Structures." Advanced Materials Research 610-613 (December 2012): 1155–61. http://dx.doi.org/10.4028/www.scientific.net/amr.610-613.1155.

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To ensure 120 years design life of the large marine environmental engineering concrete structures in South China, and assess the status of the development of durability of concrete structure in real time w a research has been performed on embedded-non-destructive corrosion monitoring sensor systems, data acquisition and software integration, combined exposure test of concrete under environment in South China more than 30 years and laboratory test. It is a new type of technology for corrosion monitoring, assessment and early warning, which based on electrochemical principle, network transmissio

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Martelloni, G., S. Segoni, D. Lagomarsino, R. Fanti, and F. Catani. "Snow accumulation/melting model (SAMM) for integrated use in regional scale landslide early warning systems." Hydrology and Earth System Sciences 17, no. 3 (2013): 1229–40. http://dx.doi.org/10.5194/hess-17-1229-2013.

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Abstract. We propose a simple snow accumulation/melting model (SAMM) to be applied at regional scale in conjunction with landslide warning systems based on empirical rainfall thresholds. SAMM is based on two modules modelling the snow accumulation and the snowmelt processes. Each module is composed by two equations: a conservation of mass equation is solved to model snowpack thickness and an empirical equation for the snow density. The model depends on 13 empirical parameters, whose optimal values were defined with an optimisation algorithm (simplex flexible) using calibration measures of snow

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Chovanec, Daniel, Boris Kollár, Bronislava Halúsková, Jozef Kubás, Marcin Pawęska, and Jozef Ristvej. "A Component-Based Approach to Early Warning Systems: A Theoretical Model." Applied Sciences 15, no. 6 (2025): 3218. https://doi.org/10.3390/app15063218.

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Natural hazards pose an increasing threat to society, necessitating the development of effective early warning systems (EWSs). This paper explores their critical role in mitigating the impacts of natural hazards. Its primary objective is to define and categorise the components of EWSs, summarise the components of existing systems, and propose a framework for a comprehensive early warning system. This paper includes a thorough review of the available scientific literature on early warning systems, natural hazards, and their underlying causes. It identifies both primary and secondary causes of s

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Kamaruddin, Syamsu A. "Disaster Preparedness Design in Secondary School Environment." JUPE : Jurnal Pendidikan Mandala 9, no. 4 (2024): 967. https://doi.org/10.58258/jupe.v9i4.7821.

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The design of disaster preparedness in secondary schools emphasizes coordination, information management, the use of early warning systems, and education and training. Preparing schools for disasters is crucial to minimizing risks and safeguarding the the health and welfare of students, teachers, and other members of the school community. This study employs a literature review approach, analyzing existing theories and practices related to disaster preparedness, including inter-agency coordination, disaster information management, and the application of early warning systems suitable for second

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Martelloni, G., S. Segoni, D. Lagomarsino, R. Fanti, and F. Catani. "Snow Accumulation-Melting Model (SAMM) for integrated use in regional scale landslide early warning systems." Hydrology and Earth System Sciences Discussions 9, no. 8 (2012): 9391–423. http://dx.doi.org/10.5194/hessd-9-9391-2012.

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Abstract. We propose a simple snow accumulation-melting model (SAMM) to be applied at the regional scale in conjunction with landslide warning systems based on empirical rainfall thresholds. SAMM follows an intermediate approach between physically based models and empirical temperature index models. It is based on two modules modelling the snow accumulation and the snowmelt processes. Each module is composed by two equations: a conservation of mass equation is solved to model snowpack thickness and an empirical equation for the snow density. The model depends on 13 empirical parameters, whose

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Kohler, Monica D., Deborah E. Smith, Jennifer Andrews, et al. "Earthquake Early Warning ShakeAlert 2.0: Public Rollout." Seismological Research Letters 91, no. 3 (2020): 1763–75. http://dx.doi.org/10.1785/0220190245.

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Abstract The ShakeAlert earthquake early warning system is designed to automatically identify and characterize the initiation and rupture evolution of large earthquakes, estimate the intensity of ground shaking that will result, and deliver alerts to people and systems that may experience shaking, prior to the occurrence of shaking at their location. It is configured to issue alerts to locations within the West Coast of the United States. In 2018, ShakeAlert 2.0 went live in a regional public test in the first phase of a general public rollout. The ShakeAlert system is now providing alerts to

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Sasmito, Priyo, Salim Aljufri, Leli Mulyati, et al. "A Systematic Review: Early Warning System for Hospital Wards." International Journal of Public Health Excellence (IJPHE) 3, no. 2 (2024): 647–55. http://dx.doi.org/10.55299/ijphe.v3i2.782.

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Most of the unexpected events occur in the hospital wards. An Early Warning System (EWS) is a system created to identify worsening patients outside the Intensive Care Unit (ICU). EWS is one of the requirements that must be met to get hospital accreditation. Hospitals have to choose the appropriate EWS to get optimal outcomes. This study aims to describe some of the EWS in the wards that have been researched and developed, as well as their performance in predicting severe adverse events (SAE). This study is a literature review design, conducting a systematic review by selecting relevant article

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IRSAN, Muhammad Syah. "Revitalization of Internal Audit in The Framework of Developing a Risk Management Program as an Early Warning System." International Journal of Environmental, Sustainability, and Social Science 5, no. 1 (2024): 30–40. http://dx.doi.org/10.38142/ijesss.v5i1.933.

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This thesis discusses the revitalization of the main duties and functions of internal audit regarding the application of the Risk Management Program at "Carrefour Indonesia" in dealing with threats and/or risks that have an impact on the company's business continuity, both from internal and external sources such as regulations, competition, markets, mergers and acquisitions, resources, and others to provide early warning for companies in taking mitigation steps for all these threats and/or risks. This research was done in the form of a case study that aims to gain an in-depth understanding of

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Cera, Alessandra, Simona Ceschin, Floriano Del Grosso, Lorenzo Traversetti, and Massimiliano Scalici. "Correlating ecotoxicological early-warning systems to biotic indices to assess riverine teratogenic contamination." Marine and Freshwater Research 71, no. 8 (2020): 1033. http://dx.doi.org/10.1071/mf18471.

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We constructed a new ecotoxicological tool to test for the presence of teratogens in rivers by exploiting the regenerative capabilities of Hydra vulgaris because using living organisms is considered good practice in environmental monitoring for detecting detrimental pressures. Outputs on the Hydra assay were integrated with two biotic indices based on benthic invertebrates and macrophytes to evaluate whether the assay acts as a tool for detecting generalised freshwater conditions or as a biological test model revealing only the effects of dissolved teratogens. Several hypostomae of H. vulgaris

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Sharma, Sudeep, S. Aruna, and K. Srinivasa Naik. "Design of Integrated Platform for Ventilation & Early Warning Systems using NI Lab VIEW." International Journal of Engineering Trends and Technology 40, no. 6 (2016): 316–42. http://dx.doi.org/10.14445/22315381/ijett-v40p251.

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Ferrarin, Christian, Andrea Valentini, Martin Vodopivec, et al. "Integrated sea storm management strategy: the 29 October 2018 event in the Adriatic Sea." Natural Hazards and Earth System Sciences 20, no. 1 (2020): 73–93. http://dx.doi.org/10.5194/nhess-20-73-2020.

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Abstract. Addressing coastal risks related to sea storms requires an integrative approach which combines monitoring stations, forecasting models, early warning systems, and coastal management and planning. Such great effort is sometimes possible only through transnational cooperation, which becomes thus vital to face, effectively and promptly, the marine events which are responsible for damage impacting the environment and citizens' life. Here we present a shared and interoperable system to allow a better exchange of and elaboration on information related to sea storms among countries. The pro

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Alcántara-Ayala, Irasema, and Anthony Oliver-Smith. "Early Warning Systems: Lost in Translation or Late by Definition? A FORIN Approach." International Journal of Disaster Risk Science 10, no. 3 (2019): 317–31. http://dx.doi.org/10.1007/s13753-019-00231-3.

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Abstract Early warning systems (EWSs) are widely considered to be one of the most important mechanisms to prevent disasters around the globe. But as disasters continue to affect countries where EWSs have already been implemented, the striking disaster consequences have led us to reflect on the focus, architecture, and function of the warning systems. Since the 2004 Indian Ocean tsunami there has been a rapid rise in the promotion and use of EWSs to minimize disaster losses and damage. However, few researchers have addressed the question of their acceptability as an adaptive measure to the exis

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Ashruri, Tri Budi Wibowo, M. Rizky Ismail, Ahmad Zakaria, and Muhammad Haviz. "Development of Early Warning Systems and Structural-Non-Structural Strategies for Flood Management in Urban Industrial Area." Indonesian Journal of Environment and Sustainability Issues 2, no. 1 (2025): 8–19. https://doi.org/10.70211/ijesi.v2i1.196.

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This study aims to develop a holistic flood mitigation framework for the Jababeka Industrial Estate, a region increasingly affected by flooding due to accelerated land-use changes, diminished infiltration capacity, and insufficient drainage systems. The research integrates both structural and non-structural components, including the conceptualization of a real-time early warning system tailored for industrial urban environments. The methodology involved a detailed hydrological evaluation based on a decade of rainfall records collected from three meteorological stations. These data underwent co

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Wang, Jun, Yongfeng Fu, and Xiaokang Yang. "An integrated system for building structural health monitoring and early warning based on an Internet of things approach." International Journal of Distributed Sensor Networks 13, no. 1 (2017): 155014771668910. http://dx.doi.org/10.1177/1550147716689101.

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The intelligent security monitoring of buildings and their surroundings has become increasingly crucial as the number of high-rise buildings increases. Building structural health monitoring and early warning technology are key components of building safety, the implementation of which remains challenging, and the Internet of things approach provides a new technical measure for addressing this challenge. This article presents a novel integrated information system that combines Internet of things, building information management, early warning system, and cloud services. Specifically, the system

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Sah, Manoj Kumar, and Roshan Chitrakar. "Strategic Framework for Implementation of Heat Wave Early Warning System." Journal of Science and Technology 3, no. 1 (2023): 23–30. http://dx.doi.org/10.3126/jost.v3i1.69061.

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Southern Nepal (Terai region) experiences very hot summer every year and is more vulnerable to heat waves with climate change and increasing population. Heat wave hazard is overlooked in Nepal by government and scientific community as it lacks spectacular and sudden violence like other hazards and the country is trying to mitigate other major hazards like epidemic, floods, landslides, fires and earthquake. Through literature review, case studies and study of meteorological and demographic data of Bara district, this thesis presents outline of trend and impacts of heat wave describing current l

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Fernández-Nóvoa, Diego, Orlando García-Feal, José González-Cao, et al. "MIDAS: A New Integrated Flood Early Warning System for the Miño River." Water 12, no. 9 (2020): 2319. http://dx.doi.org/10.3390/w12092319.

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Early warning systems have become an essential tool to mitigate the impact of river floods, whose frequency and magnitude have increased during the last few decades as a consequence of climate change. In this context, the Miño River Flood Alert System (MIDAS) early warning system has been developed for the Miño River (Galicia, NW Spain), whose flood events have historically caused severe damage in urban areas and are expected to increase in intensity in the next decades. MIDAS is integrated by a hydrologic (HEC-HMS) and a hydraulic (Iber+) model using precipitation forecast as input data. The

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