scholarly journals Economic Losses from Mortality Due to External Factors

2019 ◽  
Vol 10 (3) ◽  
Author(s):  
Zhanna Varakina ◽  
Anatoly Sannikov ◽  
Boris Spasennikov ◽  
Vasily Bludov
Keyword(s):  
Traffic Accidents ◽  
Economic Loss ◽  
External Factors ◽  
Economic Losses ◽  
Social Effect ◽  
European North ◽  
Preventive Actions ◽  
External Causes ◽  
Health Features ◽  
Regional Mortality

Mortality Due to External Causes is a world-scale problem. The paper presents the results of life opportunities and societys damage from mortality due to external factors in a biggest subject of Russias European North - Arkhangelsk Oblast. The regions territory is characterized by its climate-geographical and organizational-public health features, mono-productive infrastructure, and so on. The maximum economic loss in the region was in 1980-1982, 1992-1998, 2000-2006. Among the urban population, the biggest losses fell at 1990-s, which is explained by the highest mortality indicators connected as well with the socio-economic crisis, including the default of 1998. The leading causes of the life opportunity economic losses due to external factors were suicides, accidental alcohol poisoning, murders and traffic accidents. The analysis performed allows to offer a number of preventive actions in decreasing the regional mortality, which will produce a medical, economic and social effect.

Fertiliser evenness - losses and costs: A study on the economic benefits of uniform applications of fertiliser

1999 ◽  
pp. 215-220 ◽  
Author(s):  
R. Horrell ◽  
A.K. Metherell ◽  
S. Ford ◽  
C. Doscher
Keyword(s):  
Crop Yields ◽  
Cumulative Effect ◽  
Economic Loss ◽  
Economic Benefits ◽  
Significant Loss ◽  
Economic Losses ◽  
Financial Return ◽  
Spread Pattern ◽  
Fertiliser Application ◽  
Seed Crops

Over two million tonnes of fertiliser are applied to New Zealand pastures and crops annually and there is an increasing desire by farmers to ensure that the best possible economic return is gained from this investment. Spreading distribution measurements undertaken by Lincoln Ventures Ltd (LVL) have identified large variations in the evenness of fertiliser application by spreading machines which could lead to a failure to achieve optimum potential in some crop yields and to significant associated economic losses. To quantify these losses, a study was undertaken to calculate the effect of uneven fertiliser application on crop yield. From LVL's spreader database, spread patterns from many machines were categorised by spread pattern type and by coefficient of variation (CV). These patterns were then used to calculate yield losses when they were combined with the response data from five representative cropping and pastoral situations. Nitrogen fertiliser on ryegrass seed crops shows significant production losses at a spread pattern CV between 30% and 40%. For P and S on pasture, the cumulative effect of uneven spreading accrues, until there is significant economic loss occurring by year 3 for both the Waikato dairy and Southland sheep and beef systems at CV values between 30% and 40%. For nitrogen on pasture, significant loss in a dairy system occurs at a CV of approximately 40% whereas for a sheep and beef system it is at a CV of 50%, where the financial return from nitrogen application has been calculated at the average gross revenue of the farming system. The conclusion of this study is that the current Spreadmark standards are a satisfactory basis for defining the evenness requirements of fertiliser applications in most circumstances. On the basis of Spreadmark testing to date, more than 50% of the national commercial spreading fleet fails to meet the standard for nitrogenous fertilisers and 40% fails to meet the standard for phosphatic fertilisers.Keywords: aerial spreading, crop response, economic loss, fertiliser, ground spreading, striping, uneven application, uneven spreading, yield loss

scholarly journals Quantification of PV Power and Economic Losses Due to Soiling in Qatar

2021 ◽  
Vol 13 (6) ◽  
pp. 3364
Author(s):  
Amr Zeedan ◽  
Abdulaziz Barakeh ◽  
Khaled Al-Fakhroo ◽  
Farid Touati ◽  
Antonio S. P. Gonzales
Keyword(s):  
Output Power ◽  
Power Plants ◽  
Economic Loss ◽  
Economic Losses ◽  
Energy Yield ◽  
Solar Pv ◽  
Financial Loss ◽  
Grid Systems ◽  
Dust Density

Soiling losses of photovoltaic (PV) panels due to dust lead to a significant decrease in solar energy yield and result in economic losses; this hence poses critical challenges to the viability of PV in smart grid systems. In this paper, these losses are quantified under Qatar’s harsh environment. This quantification is based on experimental data from long-term measurements of various climatic parameters and the output power of PV panels located in Qatar University’s Solar facility in Doha, Qatar, using a customized measurement and monitoring setup. A data processing algorithm was deliberately developed and applied, which aimed to correlate output power to ambient dust density in the vicinity of PV panels. It was found that, without cleaning, soiling reduced the output power by 43% after six months of exposure to an average ambient dust density of 0.7 mg/m3. The power and economic loss that would result from this power reduction for Qatar’s ongoing solar PV projects has also been estimated. For example, for the Al-Kharasaah project power plant, similar soiling loss would result in about a 10% power decrease after six months for typical ranges of dust density in Qatar’s environment; this, in turn, would result in an 11,000 QAR/h financial loss. This would pose a pressing need to mitigate soiling effects in PV power plants.

scholarly journals Development of an early warning system for loose automobile tires

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.

Analysis of Driver's Characteristics Based on Internet of Vehicles

2014 ◽  
Vol 505-506 ◽  
pp. 1148-1152
Author(s):  
Jian Qun Wang ◽  
Xiao Qing Xue ◽  
Ning Cao
Keyword(s):  
Traffic Accidents ◽  
Road Traffic ◽  
Classification Model ◽  
Economic Losses ◽  
Lane Changing ◽  
Internet Of Vehicles ◽  
Factors Affecting ◽  
The Road ◽  
The University ◽  
Driver’S Characteristics

The road traffic accidents caused huge economic losses and casualties, so it had been focused by the researchers. Lane changing characteristic is the most relevant characteristic with safety. The intent of lane changing was discussed. Firstly, the factors affecting the intent were analyzed, the speed satisfaction value and the space satisfaction value were proposed; then the data from the University of California, Berkeley was extracted and the number of vehicles changed lane more often and the vehicle ID were obtained; the BP neural network classification model was established, it was trained and testified by actual data. The results shown the method could predict the intent accurately.

On Analysis Economic Loss Appraisal Method for Geological Disasters

2012 ◽  
Vol 594-597 ◽  
pp. 2272-2276
Author(s):  
Shi Gui Li ◽  
Qing Lin Yi ◽  
Juan Juan Wu
Keyword(s):  
Reference Value ◽  
Economic Loss ◽  
Economic Losses ◽  
Geological Disasters ◽  
Effective Evaluation ◽  
Valuation Method ◽  
Geological Disaster ◽  
Appraisal Method ◽  
Qianjiangping Landslide ◽  
China’S Economy

China is one of the most serious national which does harm to geological disasters, and the geological disasters have effect on China’s economy. Therefore, the effective evaluation for the economic losses caused by geological disasters has some reference value. This paper mainly introduces the geological disaster economic losses structure drawing and evaluated methods which include human capital method, shadow valuation method, market valuation method, investigation appraisal method and coefficient of proportionality method, and analyzes different economic losses should adopt different appraisal method. And take the Qianjiangping landslide for instant, this paper introduces how to evaluate landslide disasters economic loss. The idea and method have certain guiding significance to geological disaster economic losses evaluation.

Spatial-Temporal Dynamics of Disease Burden Attributable to Pm2.5 Exposure in China From 2000 to 2016

2021 ◽  
Author(s):  
Ting Cao
Keyword(s):  
Policy Making ◽  
Disease Burden ◽  
Temporal Dynamics ◽  
Comprehensive Evaluation ◽  
Fine Particulate Matter ◽  
Economic Loss ◽  
Northwest China ◽  
Economic Losses ◽  
Air Pollution Control ◽  
Chinese Yuan

Abstract In recent years, long-term exposure to ambient fine particulate matter (PM2.5) has slowly increased both morbidity and mortality for Chinese people, becoming a leading problem for public health efforts. However, spatial-temporal dynamics of disease burden attributable to PM2.5 exposure still lacks a comprehensive evaluation so as to provide inadequate supports for policy making and improvement. Here, we used the exposure-response function to derive the spatial-temporal dynamics of disease burden attributable to PM2.5 pollution in China. We found the fact that economic loss attributable to PM2.5 increased by 93% from 35 billion Chinese Yuan (95% CI: 14-52) to 536 billion Chinese Yuan (95%CI: 236-753) during the period of 16 years. Digging further, we discovered a substantiate level of regional differences, with the disease burden being the most severe in East China and the least severe in the Northwest China. Other than that, there existed a spatial aggregation of health-related economic losses among Chinese cities. Our paper made an evaluation on the spatial-temporal dynamics of health effects attributed to PM2.5, an evaluation that could provide more insights to future policy making of the air pollution control for China and other developing countries.

Studying the Effect of Fuel Elements Structural Materials Corrosion on their Operating Life

2021 ◽  
Vol 1038 ◽  
pp. 108-115
Author(s):  
Yuliana Hapon ◽  
Maksym Kustov ◽  
Volodumur Kalugin ◽  
Alexander Savchenko
Keyword(s):  
Experimental Data ◽  
Mass Transfer ◽  
Fuel Element ◽  
State Level ◽  
External Factors ◽  
Economic Losses ◽  
Operating Life ◽  
Hydrodynamic Mode ◽  
Internal And External Factors ◽  
Fuel Elements

The paper deals with experimental data regarding the effect of internal and external factors on the corrosion decay of Zr1Nb alloy fuel elements. Based on the analysis results, losses of zirconium that transfers to oxide or coolant as per the fuel element wall weight and thickness as well as economic losses from their corrosion decay have been theoretically calculated. To avoid a state-level emergency occurrence, an increase in the fuel element wall thickness up to 660 μm is proposed, which can increase the operating life under the conditions of trouble-free coolant mass transfer hydrodynamic mode.

scholarly journals Direct and indirect economic impacts of drought in the agri-food sector in the Ebro River basin (Spain)

2013 ◽  
Vol 13 (10) ◽  
pp. 2679-2694 ◽  
Author(s):  
M. Gil ◽  
A. Garrido ◽  
N. Hernández-Mora
Keyword(s):  
Water Scarcity ◽  
Agricultural Sector ◽  
Economic Impacts ◽  
Economic Loss ◽  
Mitigation Strategies ◽  
Economic Losses ◽  
Drought Risk ◽  
Drought Event ◽  
Drought Impacts ◽  
Indirect Impacts

Abstract. The economic evaluation of drought impacts is essential in order to define efficient and sustainable management and mitigation strategies. The aim of this study is to evaluate the economic impacts of a drought event on the agricultural sector and measure how they are transmitted from primary production to industrial output and related employment. We fit econometric models to determine the magnitude of the economic loss attributable to water storage. The direct impacts of drought on agricultural productivity are measured through a direct attribution model. Indirect impacts on agricultural employment and the agri-food industry are evaluated through a nested indirect attribution model. The transmission of water scarcity effects from agricultural production to macroeconomic variables is measured through chained elasticities. The models allow for differentiating the impacts deriving from water scarcity from other sources of economic losses. Results show that the importance of drought impacts are less relevant at the macroeconomic level, but are more significant for those activities directly dependent on water abstractions and precipitation. From a management perspective, implications of these findings are important to develop effective mitigation strategies to reduce drought risk exposure.

scholarly journals Geomatic-Based Flood Loss Assessment and Its Application in an Eastern City of China

Water ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 126
Author(s):  
Youjie Jin ◽  
Jianyun Zhang ◽  
Na Liu ◽  
Chenxi Li ◽  
Guoqing Wang
Keyword(s):  
Spatial Resolution ◽  
Loss Rate ◽  
Flash Flood ◽  
Economic Loss ◽  
Economic Losses ◽  
Risk Level ◽  
Loss Assessment ◽  
Flood Loss ◽  
Flood Disasters

Flash-flood disasters pose a serious threat to lives and property. To meet the increasing demand for refined and rapid assessment on flood loss, this study exploits geomatic technology to integrate multi-source heterogeneous data and put forward the comprehensive risk index (CRI) calculation with the fuzzy comprehensive evaluation (FCE). Based on mathematical correlations between CRIs and actual losses of flood disasters in Weifang City, the direct economic loss rate (DELR) model and the agricultural economic loss rate (AELR) model were developed. The case study shows that the CRI system can accurately reflect the risk level of a flash-flood disaster. Both models are capable of simulating disaster impacts. The results are generally consistent with actual impacts. The quantified economic losses generated from simulation are close to actual losses. The spatial resolution is up to 100 × 100 m. This study provides a loss assessment method with high temporal and spatial resolution, which can quickly assess the loss of rainstorm and flood disasters. The method proposed in this paper, coupled with a case study, provides a reliable reference to loss assessment on flash floods caused disasters and will be helpful to the existing literature.

scholarly journals Epidemiology of Road Traffic Accidents and Injuries in Nigeria: A Protocol for Systematic Review and Meta-analysis

2021 ◽  
Author(s):  
Samuel Osobuchi Ngene ◽  
Olatoun Adefunke Adeola ◽  
Chi-kadibia T Ukoma ◽  
Augustine Nwakuche Duru ◽  
Kayode Olaoluwa Olaniyan ◽  
...  
Keyword(s):  
Systematic Review ◽  
Standard Error ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Cochrane Library ◽  
Economic Losses ◽  
Road Traffic Accidents ◽  
Road Traffic Injuries ◽  
Pooled Prevalence ◽  
Registration Number

Abstract Background: About 1.35 million people die annually worldwide due to road traffic accidents. Road traffic injuries cause considerable economic losses to individuals, their families, and to nations as a whole. About 93% of the world's fatalities on the roads occur in low-and middle-income countries, even though these countries have approximately 60% of the world's vehicles. Road Traffic Accidents constitute the third leading cause of trauma related deaths in Nigeria. It is a substantial public health problem that deserves a systematic review.Methods and Analysis: We developed a search strategy using MeSH, text words and entry terms. Nine databases will be searched, including PubMed, African Journal Online, Embase, Google Scholar, Scopus, Cochrane Library, CINAHL, Web of Science and ResearchGate. Only observational studies, retrievable in the English language will be included. The primary outcome is prevalence of road traffic injuries in Nigeria. The secondary outcomes include proportion of road traffic accidents in Nigeria, patterns, predictors and consequences of road traffic accidents in Nigeria. Identified studies will be screened and selected based on inclusion criteria using Rayyan QCRI screening tool, by independent reviewers with dual blinding. Data items will be extracted into predefined forms in Microsoft Excel before exporting to CMA version 3 for analysis. Every selected study will have their NIH quality scores and Cochrane risk of bias reported. Studies will be assessed for methodological and statistical heterogeneity. Publication bias will be assessed using Funnel Plots and test of asymmetry. Results will include forest plots, pooled prevalence with standard error, variance, relative weights assigned to studies and heterogeneity test. Further analysis will include subgroup analysis and meta-regression using both categorical and quantitative variables.Discussion: This protocol will enable a transparent, accurate and reliable method for determining pooled prevalence, standard error and 95% CI of road traffic injuries in Nigeria. Patterns and outcomes of RTA in Nigeria will also be assessed. Evidence generated by this protocol will likely inform policy on prevention of RTA in NigeriaTrial Registration Number: This protocol is registered with PROSPERO, with registration number CRD42021226956.

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