Establishment of an early warning system for international trade tensions in the Heilongjiang province of China

2021 ◽  
Vol 95 (2) ◽  
pp. 17-28
Author(s):  
An Zhao Zhen ◽  
Keyword(s):  
International Trade ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Heilongjiang Province ◽  
Global Epidemic ◽  
General Importance ◽  
Strategic Issue ◽  
Trade Frictions ◽  
The Impact

In 2020, the global economic and trading environment has undergone major changes due to the impact of the global epidemic of the COVID-19. It is not only the world economy that has seriously suffered, protectionism in international trade is growing, and economic and trade frictions between countries with many factors have sharply worsened. Faced with a new situation and new challenges, accelerating the construction of an early warning system for international trade conflicts in Heilongjiang Province has become an important strategic issue of general importance.

scholarly journals The impact of the disease early warning system in responding to natural disasters and conflict crises in Pakistan

2010 ◽  
Vol 16 (Supp.) ◽  
pp. 114-121 ◽  
Author(s):  
M. Rahim ◽  
B.M. Kazi ◽  
K.M. Bile ◽  
M. Munir ◽  
A.R. Khan
Keyword(s):  
Natural Disasters ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
The Impact

scholarly journals Establishment of a Financial Crisis Early Warning System for Domestic Listed Companies Based on Three Decision Tree Models

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Gang Wang ◽  
Keming Wang ◽  
Yingying Zhou ◽  
Xiaoyan Mo ◽  
Weilin Xiao
Keyword(s):  
Financial Crisis ◽  
Decision Tree ◽  
Early Warning ◽  
Financial Management ◽  
Early Warning System ◽  
Comprehensive Evaluation ◽  
Warning System ◽  
Predictive Ability ◽  
Tree Models ◽  
The Impact

The financial crisis is a realistic problem that the general enterprise must encounter in the process of financial management. Due to the impact of the COVID-19 and the Sino-US trade war, domestic companies with unsound financial conditions are at risk of shutdowns and bankruptcies. Therefore, it is urgently needed to study the financial warning of enterprises. In this study, three decision tree models are used to establish the financial crisis early warning system. These three decision tree models include C50, CART, and random forest decision trees. In addition, the ROC curve was used for comprehensive evaluation of the accuracy analysis of the model to confirm the predictive ability of each model. This result can provide reference for domestic financial departments and provide financial management basis for the investing public.

scholarly journals Influence of Ciawi and Sukamahi dam construction on flood early warning system in Katulampa weir

2019 ◽  
Vol 276 ◽  
pp. 04016
Author(s):  
Maulana Asrafi ◽  
Evi Anggraheni ◽  
Dwita Sutjiningsih
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Flood Control ◽  
Warning System ◽  
System Level ◽  
Dam Construction ◽  
Monitoring Point ◽  
Flood Peak ◽  
Flood Level ◽  
The Impact

Based on the Comprehensive Flood Management Plan (CFMP), one of the flood control alternatives in the Ciliwung Watershed is using the dry dam construction. Construction of Ciawi dam and Sukamahi dam who are located in Bogor District, are expected to decrease the flood peak and increasing the time concentration in order to reduce the impact caused by a flood in DKI Jakarta due to Ciliwung River. With the construction of Ciawi dam and Sukamahi dam, it is necessary to conduct a research on the effect of both dams construction in Katulampa Weir, one of monitoring point dams on the DKI Jakarta Flood Early Warning System. Hydrological analysis with Win-TR 20 and HEC-RAS was conducted to identify the changes in the flood level of Flood Early Warning System in DKI Jakarta with and without both dams are available. The results of this study indicate that the peak floods decreased by around 2.5% after the implementation of Ciawi dam and Sukamahi dams. The impacts of this reduction will not affect the Flood Early Warning System level at Katulampa Weir significantly.

scholarly journals The Design Diagram of Early Warning System for the Impact of Industrial Development Waste

2018 ◽  
Author(s):  
Veronika Nugraheni Sri Lestari ◽  
Dwi Cahyono ◽  
Sri Susilowati
Keyword(s):  
Mobile Phones ◽  
Early Warning ◽  
Early Warning System ◽  
Industrial Development ◽  
Warning System ◽  
Industrial Area ◽  
Survey Method ◽  
Industry Area ◽  
The Impact ◽  
Ph Detection

Currently the development of industrial area development is very rapid this will impact on society if the waste from this industry is not controlled and is known by the societywhose territory is passed by the river from industrial waste disposal.The rapid technological developments will also provide convenience and benefits for the community to be able to control the waste industry one of them is by utilizing android applications in the form of an early warning system application.This research uses survey method and literature study. This research is limited to 5 industry area which primary data sample is taken, 5 industrial area that is surabaya, gresik, mojokerto, lamongan and sidoarjo, research stages include sampling in the industrial area which is then analyzed by using pH detection devices after it is done testing detection devices communicated with mobile phones based on android application this is done several times intended to produce a good test devices.One of the results of this research is the design of pH detection devices communicated with android-based mobile phones, the design referred to in this paper is in the form of UML consisting of 3 diagrams that are use case diagrams, activity diagrams and sequence diagrams

AN ASSESSMENT ON EARLY WARNING SYSTEM: INITIAL SURVEY ANALYSIS

2019 ◽  
Vol 17 ◽  
Author(s):  
Mohd Ramzi Mohd Hussain ◽  
Noor Suzilawati Rabe ◽  
Ismawi Zen ◽  
Izawati Tukiman ◽  
Rahsidi Sabri Muda ◽  
...  
Keyword(s):  
Early Warning ◽  
Questionnaire Survey ◽  
Early Warning System ◽  
Monsoon Season ◽  
Negative Relationship ◽  
Warning System ◽  
Survey Analysis ◽  
Monthly Income ◽  
The Impact ◽  
Age Category

In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earninghigher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income.

scholarly journals Development of ANN Model for Wind Speed Prediction as a Support for Early Warning System

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Ivan Marović ◽  
Ivana Sušanj ◽  
Nevenka Ožanić
Keyword(s):  
Wind Speed ◽  
Prediction Model ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Ann Model ◽  
Wind Speed Prediction ◽  
Speed Prediction ◽  
The University ◽  
The Impact

The impact of natural disasters increases every year with more casualties and damage to property and the environment. Therefore, it is important to prevent consequences by implementation of the early warning system (EWS) in order to announce the possibility of the harmful phenomena occurrence. In this paper, focus is placed on the implementation of the EWS on the micro location in order to announce possible harmful phenomena occurrence caused by wind. In order to predict such phenomena (wind speed), an artificial neural network (ANN) prediction model is developed. The model is developed on the basis of the input data obtained by local meteorological station on the University of Rijeka campus area in the Republic of Croatia. The prediction model is validated and evaluated by visual and common calculation approaches, after which it was found that it is possible to perform very good wind speed prediction for time steps Δt=1 h, Δt=3 h, and Δt=8 h. The developed model is implemented in the EWS as a decision support for improvement of the existing “procedure plan in a case of the emergency caused by stormy wind or hurricane, snow and occurrence of the ice on the University of Rijeka campus.”

scholarly journals Integrated framework for early warning system in UAE

2016 ◽  
Vol 7 (4) ◽  
pp. 361-373 ◽  
Author(s):  
Abdulla Ali Alhmoudi ◽  
Zeeshan Aziz
Keyword(s):  
Natural Hazards ◽  
Early Warning ◽  
Early Warning System ◽  
Large Scale ◽  
Warning System ◽  
Essential Elements ◽  
The Other ◽  
Content Type ◽  
Integrated Framework ◽  
The Impact

Purpose The impacts and costs of natural disasters on people, properties and environment are often severe when these occur on a large scale and with no warning system in place. The lack of deployment of an early warning system (EWS), low risk and hazard knowledge and impact of natural hazard experienced by some communities in the UAE have emphasised the need for more effective EWSs. This work focuses on developing an integrated framework for EWSs for communities prone to the impact of natural hazards to reduce their vulnerability and improve emergency management arrangements in the UAE. Design/methodology/approach The essential elements of effective EWS were identified through literature review to develop an integrated framework for EWS. Semi-structured interviews and questionnaires were also used to identify and confirm hindering factors to deployment of effective EWSs in Abu Dhabi and Fujairah Emirates, while areas that require further development were also identified through this means. Findings The outcome of this research revealed that the warning for natural hazards in the UAE lacked the required elements for effective EWS, whereas the elements which are present are insufficient to mitigate the impacts of natural hazards. The information in this work emphasises the need to improve two elements, and to develop the other two essential elements of EWS in the UAE. Originality/value The outcome of this research revealed that the warning for natural hazards in the UAE lacked the required elements for effective EWS, whereas the elements which are present are insufficient to mitigate the impacts of natural hazards. The information in this work emphasises the need to improve two elements and to develop the other two essential elements of EWS in the UAE.

scholarly journals AN ASSESSMENT ON EARLY WARNING SYSTEM: INITIAL SURVEY ANALYSIS

2019 ◽  
Vol 17 (10) ◽  
Author(s):  
Mohd Ramzi Mohd Hussain ◽  
Noor Suzilawati Rabe ◽  
Ismawi Zen ◽  
Izawati Tukiman ◽  
Rahsidi Sabri Muda ◽  
...  
Keyword(s):  
Early Warning ◽  
Questionnaire Survey ◽  
Early Warning System ◽  
Monsoon Season ◽  
Negative Relationship ◽  
Warning System ◽  
Survey Analysis ◽  
Monthly Income ◽  
The Impact ◽  
Age Category

In Cameron Highland, Lembah Bertam area and further downstream villages in Susu Dam area are prone and vulnerable to the highest occurrence of floods especially during monsoon season. Thus, Early Warning System (EWS) were set up to avoid or to reduce the impact of natural hazard turns disasters such as floods, landslides and storms with the aim to reduce the vulnerability and disaster risks that signifies the effectiveness of EWS in the realisation of affected community. To test the awareness and preparedness of community in the selected area, a questionnaire survey was employed as the data collection method. The questionnaire survey was conducted before the direct engagement on the EWS information with the community. Using the mixed sampling method of cluster random sampling, a total of 800 respondents from 11 villages, and 5 main ethnicity groups were involved in the survey. From the result, there was a positive relationship showing that respondents who claimed they knew about the EWS from information signage were those from the older age category and earninghigher monthly income. On the other hand, there is a negative relationship between respondents’ age and monthly income against other sources that indicates respondents who claimed they knew about the EWS from other sources were those in the younger age category and have low monthly income.

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