Development of an operational coastal flooding early warning system

Abstract. Coastal floods are a consistent threat to oceanfront countries, causing major human suffering and substantial economic losses. Climate change is exacerbating the problem. An early warning system is essential to mitigate the loss of life and property from coastal flooding. The purpose of this study is to develop a coastal flooding early warning system (CoFEWs) by integrating existing sea-state monitoring technology, numerical ocean forecasting models, historical database and experiences, as well as computer science. The proposed system has capability of offering data for the past, information for the present and future. The system was developed for the Taiwanese coast due to its frequent threat by typhoons. An operational system without any manual work is the basic requirement of the system. Integration of various data sources is the system kernel. Numerical ocean models play an important role within the system because they provide data for assessment of possible flooding. The regional wave model (SWAN) that nested with the large domain wave model (NWW III) is operationally set up for coastal wave forecasting, in addition to the storm surge predicted by a POM model. Data assimilation technology is incorporated for enhanced accuracy. A warning signal is presented when the storm water level that accumulated from astronomical tide, storm surge, and wave-induced run-up exceeds the alarm sea level. This warning system has been in practical use for coastal flooding damage mitigation in Taiwan for years. An example of the system operation during the Typhoon Haitung which struck Taiwan in 2005 is illustrated in this study.

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The Level of Public Acceptance to the Development of a Coastal Flooding Early Warning System in Jakarta

Sustainability ◽

10.3390/su13020566 ◽

2021 ◽

Vol 13 (2) ◽

pp. 566

Author(s):

Nelly Florida Riama ◽

Riri Fitri Sari ◽

Henita Rahmayanti ◽

Widada Sulistya ◽

Mohamad Husein Nurrahmat

Keyword(s):

Path Analysis ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Coastal Flooding ◽

Coastal Areas ◽

Public Acceptance ◽

Community Attitudes ◽

Early Warning Model ◽

Warning Model

Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a coastal flooding early warning system in vulnerable locations to reduce the threat to the community and strengthen its resilience to coastal flooding disasters. This study aimed to measure the level of public acceptance toward the development of a coastal flooding early warning system of people who live in a coastal region in Jakarta. This knowledge is essential to ensure that the early warning system can be implemented successfully. A survey was conducted by distributing questionnaires to people in the coastal areas of Jakarta. The questionnaire results were analyzed using cross-tabulation and path analysis based on the variables of knowledge, perceptions, and community attitudes towards the development of a coastal flooding early warning system. The survey result shows that the level of public acceptance is excellent, as proven by the average score of the respondents’ attitude by 4.15 in agreeing with the establishment of an early warning system to manage coastal flooding. Thus, path analysis shows that knowledge and perception have a weak relationship with community attitudes when responding to the coastal flooding early warning model. The results show that only 23% of the community’s responses toward the coastal flooding early warning model can be explained by the community’s knowledge and perceptions. This research is expected to be useful in implementing a coastal flooding early warning system by considering the level of public acceptance.

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Development of an early warning system for loose automobile tires

Science Progress ◽

10.1177/0036850420940880 ◽

2020 ◽

Vol 103 (3) ◽

pp. 003685042094088

Author(s):

Huibo Wu ◽

Fei Song ◽

Kainan Wu ◽

Cheng Chen ◽

Xiaohua Wang

Keyword(s):

Early Warning ◽

Early Warning System ◽

Traffic Accidents ◽

Warning System ◽

Working Environment ◽

Vehicle Body ◽

Economic Losses ◽

Control Module ◽

Alarm Signal ◽

Monitoring Module

The looseness of tires or even falling off from cars will lead to serious traffic accidents. Once it occurs, it will bring casualties and huge economic losses to society, seriously affecting the traffic safety. To mitigate such possible safety concerns, an early loosening warning system is developed in this article. The system consists of the tire monitoring module and the working control module. The tire monitoring module is installed on the tire and is designed with no power supply. The control module is installed in the vehicle body. Signal transmission between the two modules is achieved through wireless radio frequency. In the driving, once the tire is loosened, the monitoring device will send out the alarm signal automatically and wirelessly. After the driver gets the alarm signal, he can immediately perform the emergency processing, parking, and inspection, which can avoid traffic accidents caused by it. This article introduces the detailed structure, working principle, and operation process of the system. This early warning system has simple structure, high reliability, and is easy to use. It can be used in the common working environment of automobiles. Meanwhile, it is also the foundation of intelligent connected vehicle.

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First Approach of a Storm Surge Early Warning System for Santos Region

Climate Change in Santos Brazil: Projections, Impacts and Adaptation Options ◽

10.1007/978-3-319-96535-2_7 ◽

2018 ◽

pp. 135-157 ◽

Cited By ~ 3

Author(s):

Renan Braga Ribeiro ◽

Alexandra Franciscatto Penteado Sampaio ◽

Matheus Souza Ruiz ◽

José Chambel Leitão ◽

Paulo Chambel Leitão

Keyword(s):

Storm Surge ◽

Early Warning ◽

Early Warning System ◽

Warning System

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TYPHOON EARLY WARNING SYSTEM BASED ON A COUPLED ATMOSPHERE-OCEAN-WAVE MODEL

Coastal Engineering 2006 ◽

10.1142/9789812709554_0059 ◽

2007 ◽

Author(s):

Jun Yoshino ◽

Tomokazu Murakami ◽

Masanori Hayashi ◽

Takashi Yasuda

Keyword(s):

Early Warning ◽

Early Warning System ◽

Warning System ◽

Wave Model ◽

Ocean Wave ◽

Ocean Wave Model

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Research on the Early Warning Mechanism of Financial Risk by Computer Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.687-691.4922 ◽

2014 ◽

Vol 687-691 ◽

pp. 4922-4925

Author(s):

Liang Liu ◽

Chun Ling Li

Keyword(s):

Financial Markets ◽

Empirical Analysis ◽

Early Warning ◽

Early Warning System ◽

Financial Risk ◽

Warning System ◽

Warning Signal ◽

Financial Risks ◽

Early Warning Mechanism ◽

Starting Point

The briefly review and the development of the financial risk early warning theory is first discussed in this study and the domestic and foreign research is analyzed as a brief summary. Secondly, the concept of financial risks, financial crisis and the financial early warning is defined. Financial fragility as a starting point is used to establish the rationality model of the financial risk early warning system. The early warning indicators is selected on the basis of the 12 indicators of macro-financial risks, 15 net financial indicators is selected to represent the financial markets according to the characteristics of China's financial markets. In the empirical part, the previous empirical analysis method is chosen to build the financial risk early warning signal system. In order to display China's financial risk profile, the proper model for the calculation is made on the basis of empirical analysis. Thus, in order to minimize the local financial risk, the early warning system should be established by the local government, together with some other necessary measures.

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Real-time monitoring and early warning of transmission tower foundations under landslide disasters

10.5194/egusphere-egu2020-20946 ◽

2020 ◽

Author(s):

ChenChen Huang ◽

Kunlong Yin ◽

Xin Liang

Keyword(s):

Transmission Lines ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Economic Losses ◽

Transmission Tower ◽

Long Distance ◽

Geological Disasters ◽

Landslide Deformation ◽

The Stability

<p>The Ultra High Voltage (UHV) power grids in China are playing an important role of large-region power supply, contain long-distance interconnected channels that have to span a variety of different geomorphic units. However, geological disasters around transmission lines can threaten the reliability of UHV system. Landslides, one of the most common geological disasters in China, can affect the stability of transmission towers by shearing their foundations or involving them to move overall. Once a power tower is destroyed catastrophically, it may lead to widespread power outages, which can result in serious social adverse effects and huge economic losses. This paper presents a multi-technology early warning system for monitoring landslide deformation and observing transmission tower stability. In this system, there are three categories of monitoring information, including landslide displacement, external hydrological conditions and the stability of tower, integrated that are critical to predicting slope stability. To implement this system, a variety of techniques are employed. Firstly, advanced aviation technologies, such as Interferometric Synthetic Aperture Rader (InSAR) and unmanned aerial vehicle (UAV) are used to monitor the overall deformation of the landslide. Absolute surface displacement, subsurface displacement and relative displacement of cracks are recorded by the Global Navigation Satellite System (GNSS), deep inclinometer cooperating with optical fiber sensors and surface crack meters respectively. Second, the two main factors influencing landslide deformation, rainfall and underground water level, are observed by rain gauge and pressure gauge respectively. Third, in order to evaluate the stability of tower, earth pressure sensors are installed on the four foots of the tower foundation and pylon inclinometer is installed on the tower body. This system has been applied to the Doupozi landslide, where a tower of 500KV Shen-wan UHV line is located. Compared with that of traditional methods, the recording process of the multi-technology system is automatic and continuous, which can save human resource cost. Besides, the integrated monitoring data obtained from this system can be used to analyze the interaction between geological disasters and power towers. The multi-technology early warning system is also suitable for risk mitigation of transmission lines, oil and gas pipelines, highways, railways and other linear projects in mountainous areas.</p>

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Developing an early warning system for storm surge inundation in the Philippines

Natural Hazards and Earth System Sciences Discussions ◽

10.5194/nhessd-2-6241-2014 ◽

2014 ◽

Vol 2 (10) ◽

pp. 6241-6270

Author(s):

J. Tablazon ◽

C. V. Caro ◽

A. M. F. Lagmay ◽

J. B. L. Briones ◽

L. Dasallas ◽

...

Keyword(s):

Storm Surge ◽

Frequency Distribution ◽

Early Warning ◽

Early Warning System ◽

Warning System ◽

Storm Surges ◽

The Philippines ◽

Coastal Areas ◽

Japan Meteorological Agency ◽

Series Data

Abstract. A storm surge is the sudden rise of sea water generated by an approaching storm, over and above the astronomical tides. This event imposes a major threat in the Philippine coastal areas, as manifested by Typhoon Haiyan on 8 November 2013 where more than 6000 people lost their lives. It has become evident that the need to develop an early warning system for storm surges is of utmost importance. To provide forecasts of the possible storm surge heights of an approaching typhoon, the Nationwide Operational Assessment of Hazards under the Department of Science and Technology (DOST-Project NOAH) simulated historical tropical cyclones that entered the Philippine Area of Responsibility. Bathymetric data, storm track, central atmospheric pressure, and maximum wind speed were used as parameters for the Japan Meteorological Agency Storm Surge Model. The researchers calculated the frequency distribution of maximum storm surge heights of all typhoons under a specific Public Storm Warning Signal (PSWS) that passed through a particular coastal area. This determines the storm surge height corresponding to a given probability of occurrence. The storm surge heights from the model were added to the maximum astronomical tide data from WXTide software. The team then created maps of probable area inundation and flood levels of storm surges along coastal areas for a specific PSWS using the results of the frequency distribution. These maps were developed from the time series data of the storm tide at 10 min intervals of all observation points in the Philippines. This information will be beneficial in developing early warnings systems, static maps, disaster mitigation and preparedness plans, vulnerability assessments, risk-sensitive land use plans, shoreline defense efforts, and coastal protection measures. Moreover, these will support the local government units' mandate to raise public awareness, disseminate information about storm surge hazards, and implement appropriate counter-measures for a given PSWS.

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Integrating earthquake early warning system and a smart robot for post-earthquake automated inspection and emergency response

10.21203/rs.3.rs-450256/v1 ◽

2021 ◽

Author(s):

Tzu-Hsuan Lin ◽

Jing-Ting Huang ◽

Alan Putranto

Keyword(s):

Emergency Response ◽

Early Warning ◽

Early Warning System ◽

Human Life ◽

Warning System ◽

Integrated System ◽

Earthquake Early Warning ◽

Economic Losses ◽

Automated Inspection ◽

Earthquake Early Warning System

Abstract The natural hazard, mainly earthquake, has caused substantial economic losses and human life loss to many countries. Taiwan, which is located on the western Circum-Pacific seismic belt, has encountered the problem as mentioned earlier in Meishan, Hsinchu-Taichung, and Chi-Chi earthquakes a few years ago. In this study, the researchers propose a novel robot-event integrated system capable of doing the automated inspection and emergency response due to a significant earthquake. When the household’s earthquake warning receiving device picks up an alert, its built-in wireless communications system will send a signal to the robot. The robot commences inspection of the indoor area via real-time image recognition and tracking. It will approach them upon detecting fallen people, regulating their movements via a robot operating system (ROS) monitoring interface. The robot is designed to operate in a house that remains standing with acceptable damage in which the furniture might falling and injure the occupants after an earthquake hit. The indoor experiment conducted to verify the robot system and operation with a designed condition such as fallen and non-fallen people as a detected object. The robot tested to deliver food or medicine for fallen people while waiting for rescuers to arrive. Tests indicate that the proposed smart robot has prospective implementation to the real-world application with more research and development. The smart robot integrated with an earthquake early warning system has a promising approach to the temporary care of people affected by earthquakes.

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