Consequences Of Accidents Research Articles

Comparative analysis of the dispersion modeling and dose projection results performed under BARCO international project

Radiological assessments on zones to take protective actions in case of a nuclear or radiological emergency involve a series of real-time forecasts of radiological impact on the public at various distances from the release point, using actual weather or forecast data, information on the source term or facility status, and primary radiation monitoring data. This practice is implemented during the operation of emergency centers around the world in order to promptly report the occurrence and possible consequences of radiological accidents in the country and abroad in the event of a possible transboundary impact. Since the Chornobyl disaster, a lot of emergency exercises, research programs and projects, in particular, benchmarking, have served as international platforms for improving modeling capacity in atmospheric dispersion. This activity is carried out both on the basis of past severe accidents with significant atmospheric releases and corresponding radiological consequences, and on the basis of specific conditional (hypothetical) events that are developed in accordance with the purpose of the study. The paper is focused on the comparison results performed under the international project “Benchmarking on Assessment of Radiological COnsequences” (BARCO) conducted in 2020–2021 between five technical support organisations – members of the European Technical Safety Organisations Network (ETSON). The work contains a short overview of relevant international activity conducted in the past, a description of the BARCO project and its objectives, a list of participants, project tasks, initial data (source term, meteorology, list of benchmarking quantities, approach to data exchange, codes used). The study presents some of comparative analysis results obtained via two techniques such as code-to-code analysis (CTCA) and matched-pair analysis (MPA). The results discussion concentrates on the overall recommendations for code users. Conclusions provide the main outputs of the project.

Occupational Risk Management in OHS Based on Risk Assessment and Control

Abstract Nowadays, occupational risk management presents a significant challenge for enterprises and occupational health and safety (OHS) services. Economic changes drive efforts to verify working conditions and optimize production processes involving human participation. Employers are obligated to provide safe and hygienic working conditions using all available technical and organizational solutions. However, many enterprises still marginalize the correlation between reliable occupational risk assessments and employee absenteeism. Employers often fear high economic costs with potentially low returns. Such actions often stem from the lack of precise analyses clearly determining the costs of inadequate employee safety and ignorance of the possible consequences of workplace accidents. A well-prepared occupational risk assessment can beneficially impact employee safety, company profits, and the reduction or elimination of material and financial losses. This article discusses appropriate remedial measures for accurately determining occupational risk levels and the elements of its control. The reliability of the assessment will determine the effectiveness of the adopted OHS policy and management overall.

Accident or abuse? Differential diagnosis of contact burns from radiators/heaters in children.

Contact burns in children are not uncommon and are often due to accidental contact. Medico-legal assessment is of paramount importance in these contexts to identify cases of abuse. In three cases of burns caused by contact with radiators or a portable heater -two accidental and one deliberate- thorough medico-legal assessment, combined with on-site event reconstruction, enabled accurate diagnoses. Accidental burns displayed a 'pattern' compatible with the incandescent instrument but were more irregular, with different depths and in different parts of the body. In contrast, intentional burns were uniform in depth, distribution and localisation, inconsistent with accidental events. In this context, the on-site inspection and direct evaluation of the objects involved were crucial in the medico-legal assessment. These are indispensable elements for a thorough analysis and abuse recognition.

Legal Consequences of Occupational Accidents in the Construction Industry a Criminal Law Perspective

The increasing number of accidents and losses due to work accidents, as well as potential hazards in the production process, require effective, comprehensive, and integrated Occupational Safety Management in the management of the company. Work accidents are often caused by unsafe activities, which can be caused by lack of knowledge and skills, physical disabilities, fatigue, and unsafe attitudes and behaviors. This study uses normative legal research methods with a statutory approach and a case-based approach. Sources of legal materials used include primary, secondary, and tertiary legal materials. The results showed that corporate crimes, including criminal liability of negligent companies in managing worker safety, can result in the loss of workers ' lives. The government has very little control over the implementation of occupational safety laws, and companies are still minimal in capital to improve K3 services for employees. In addition, the lack of publications and information on Occupational Safety and health, especially in rural communities, contributes to the aggravation of this condition.

Analysing traffic safety on the roads of the Kharkiv region during the period of martial law

Problem. The functioning of road transport in regions of long-term armed conflicts is associated with additional risks for road traffic safety. The degree of influence of additional risk factors can be investigated by analyzing traffic accident statistics in such a region. Goal. The purpose of the work is to study the impact of martial law conditions on road safety indicators in the Kharkiv region of Ukraine by comparing statistical data on accidents and road deaths due to road accidents. Methodology. To achieve the goal, the work uses methods of statistical analysis of data and construction of trends, methods of determining relative indicators of the severity of road accidents. Results. As a result of the analysis of statistical data on road accidents in the Kharkiv region, the distribution of accident rates for the period from 2019 to 2023 was obtained, which made it possible to reveal their significant differences during the period of martial law compared to previous periods. In particular, it was established that with a decrease in the total number of road accidents, there was an increase in the severity of the consequences of road accidents. This regularity was confirmed by analyzing the relative indicators of road accident severity. The identified differences in accident and death rates on the roads of the Kharkiv region in 2023 compared to the periods before the start of hostilities indicate a change in road traffic conditions. Originality. The paper investigated the impact of martial law conditions on road safety on the example of the Kharkiv region of Ukraine. As a result, the degree of influence of the risk factors that arose as a result of the deployment of the armed conflict on the increase in the level of danger for road users was established. Practical value. The obtained results can be used for planning and implementation of measures to ensure traffic safety on highways in regions that are the zone of long-term armed conflicts.

Dynamic simulation of ITER cryo-distribution system using Aspen HYSYS

The ITER cryogenic system consists of the Liquid Helium (LHe) plant, the Cryo-Distribution (CD) system, and the cryo-lines. The Auxiliary Cold Boxes (ACBs) dedicated to cooling the superconducting (SC) magnet system and the Cryoplant Termination Cold Box (CTCB) of the ITER CD system are in the factory acceptance phase. The internal components of ACBs, e.g., cryogenic valves, a cold compressor (CCp), heat exchangers, and a cold circulator (CCr), have been sized and assembled, ensuring their functionality. The interdependency of the functional parameters of one component over the others needs to be assessed, as their integrated performance under the dynamic heat load deposition from the SC magnets may impact the overall operation of the ITER cryogenic system. The ACBs are equipped with two helium baths having ∼ 1200 kg of He inventory and situated inside the Tokamak building. These baths act as a thermal buffer for the LHe plant, situated in the cryoplant building, allowing it to operate at a quasi-steady state despite heat load variation from the applications. Such a large helium inventory can challenge the secondary confinement system of ITER due to helium ingress accidental events and thus needs to be optimized. The integrated system-level simulation is therefore necessary for the safe and reliable operation of the cryogenic system under such demanding requirements. The present study summarizes the results obtained for ACBs dedicated to the magnet system, including CTCB for the enhanced ITER operation modes, and confirms the integrated performance of the system. The results show that the LHe baths inside the ACBs can be used as a thermal buffer with the proposed limit of initial filling and by keeping a constant opening of the respective J-T valves upstream of the LHe baths. The study outcome and the proposed recommendations would be beneficial to mitigate the pulsed heat load to the LHe plant while minimizing the helium inventory.

Advancements in field development planning through mathematical analysis for reserves estimation, casing design, accidental events and carbon dioxide storage

The objective of this work is to introduce novel methodologies in specific parts of Field Development Plans (FDPs) by leveraging contemporary technological advancements, industry best practices, and accumulated knowledge. The proposed methodologies comprise volumetric analysis by conducting stochastic simulations within a Monte Carlo framework to evaluate the associated uncertainties and a piston-like CO2 storage scheme (based on the material balance approach) aiming to enhance natural gas production and at the same time store CO2, mitigating climate change. Optimization of drilling operations based on appropriate material selection from commercial casing tables and assignment of a failure probability of casing configuration are also included. Another proposed methodology involves spatial risk analysis simulating accidental events based on the points of interest (POIs) and the distance from the event. Finally, a stochastic analysis of project economics is conducted showing uncertainties of cashflows throughout the economic life of the project and assessing the outcomes using various probabilistic performance metrics. The integration of these methodologies offers a robust framework for enhancing the effectiveness of FDPs and their applications, aligning with the evolving demands and complexities of the oil and gas sector. Such methodologies, rooted in mathematical tools aiming to quantify uncertainty in various ways, can increase production, potentially reducing costs through carbon tax incentives and benefit the environment. The applicability of the proposed methodology is demonstrated at the Frigg field, a natural gas reservoir situated in the Norwegian sector of the North Sea. Given its historical development in the 1970s and 1980s, the Frigg field serves as a rich repository of data and information for comparative analysis and fine-tuning of the proposed methodologies. The present study bridges the gap between theoretical advancements and practical applications, promoting innovation and efficiency within the oil and gas field development processes.

How Safe Are Nepal’s Roads? A Study of Road Safety Legislation and WHO Standards

Around the world, traffic accidents result in significant catastrophes. The consequences of traffic accidents go far beyond the immediate suffering of the individuals involved. This paper aims to examine the road safety legislation and WHO standards adopted in Nepal. The paper is based on secondary data and policy documents related to road safety and WHO standards in the context of Nepal. It presents Nepal’s road network, significant improvements in road safety indicators, and encouraging advancements in road safety. The study finds five major areas for improvement in road safety laws in Nepal: seat-belt regulations, helmet laws, speed laws, child restraint laws, and drinking and driving laws. The study also reveals that Nepal’s current regulatory framework needs to be improved by monitoring actual appropriate helmet fastening and standardization. There is a lack of precise BAC restrictions for drivers and insufficient speed limits under WHO recommendations. Nepal’s child restraint rules also need to be expanded to include seat belt usage in all cars and forbid children from sitting in the front seats. To close those regulatory gaps and protect Nepalese citizens’ safety on the roads, it ends by providing a strict set of recommendations, such as increased enforcement, public awareness campaigns, and changes to road design and concrete making plans. Policymakers, researchers, and stakeholders working to promote street safety measures in Nepal and abroad would find great assistance from this article, which offers a detailed examination and smart recommendations.

Safety of Percutaneous Dilatational Tracheostomy in Critically Ill Adults With Obesity: A Retrospective Cohort Study.

This study aimed to assess the safety and efficacy of endoscopic percutaneous dilatational tracheostomy (PDT) in obese and nonobese critically ill adults. A retrospective study of all cases of PDT performed at two academic health centers between 2016 and 2023 was conducted. Primary outcomes included peri- and postoperative complications stratified by both timing and severity. body mass index (BMI) data were stratified according to the World Health Organization classification (class I obesity defined as BMI ≥ 30, class II obesity ≥35 and <40, class 3 obesity ≥40). Totally 336 patients underwent a PDT, 279 of whom had available BMI data: 193 (69.2%) patients had a normal BMI, 56 (20.1%) had class I obesity, 15 (5.4%) class II obesity, and 15 (5.4%) class III obesity. The overall complication rates for the class I, II, and III obesity were 8.9%, 13.3%, and 13.3%, respectively. All procedures were successfully completed at the bedside (no conversions to an open approach), and there was no procedure-related mortality. The only accidental decannulation event was in a patient with class III obesity. There was no difference in overall complication rates between patients without obesity and patients with obesity (7.3% vs. 10.5%, respectively, p = 0.370). This study significantly expands the current literature and represents one of the largest studies to date reporting on PDT in patients with obesity. 3 Laryngoscope, 2024.

Analysis Correlation Study of Traffic Accident Characteristics on the Sungai Limau Road Section, Padang Pariaman Regency

Sungai Limau Highway Section, Padang Pariaman Regency Is an accident event that often occurs because this road section as a connecting route between the city of Pariaman and Agam regency and at the same time becomes a tourist spot adjacent to the coast causing a negative impact on public opinion and the security of private property, so as to suppress accidents, especially heavy accidents, The main factors causing accidents as well as knowing the relationship and impact on the severity of accidents need to be analyzed. This study aims to analyze the main causes and see the correlation relationship with the main factors that cause traffic accidents on the Limau river road, Padang Pariaman Regency. This study used data on the number of accidents that occurred in 2021, 2022, 2023 with a total of 95 accidents. The data analysis method used in this study is a correlation test to determine the linear relationship between each accident variable and the AEK (Accident Equivalent Number) technique for the examination of the most severe accidents. The results of the analysis showed that the main factors that resulted in traffic accidents on the Sungai Limau Road Section of Padang Pariaman Regency, namely drivers, most occurred on Mondays, often occurred at bright times from 06:00 to 19:00, vehicles were dominant motorcycles, and accidents often occurred in Kuranji Hilir. In the 2021-2023 time frame, the highest traffic level on the Sungai Limau road section of Padang Pariaman Regency occurred in 2022 with the equivalent number of accidents of 325.

Quantitative risk assessment of coal mine gas explosion based on a Bayesian network and computational fluid dynamics

A gas explosion is one of the most serious coal mine accidents. The complexity and dynamics of gas explosion accidents, resulting from both multiple risk factors and time-dependent physical parameters, necessitates the use of risk assessment techniques to analyze the accident. A quantitative risk assessment method is proposed for coal mine gas explosions based on a Bayesian Network (BN) and Computational Fluid Dynamics (CFD). The results show that, in addition to the problems of “low vigilance” and “substandard safety education”, the “irrational design of mine gas extraction” has become another major risk factor at the new stage of development of mine excavation technology. Three typical gas explosion areas are selected to analyze the possible consequences of an accident. Based on the probabilistic risk assessment model, time-dependent physical parameters such as accident conditions, location and time are analyzed. The probability of occurrence of time-dependent risk factors is quantified to calculate the risk values of the consequences of explosion accidents corresponding to different times. The proposed method helps to improve the calculation accuracy of updating the risk probability value over time and provides theoretical support for the risk analysis of coal mine gas explosion accidents.

Research and application of rough set attribute reduction algorithm based on genetic algorithm in pipeline network

Abstract Explosion accidents often occur in urban underground pipeline network systems, which has caused safety issues in public life and industrial production. GIS technology can visually manage pipeline equipment and solve the problem of valve closure analysis in the event of current accidents, avoiding the escalation of the situation, but it cannot make predictions. Attribute reduction is one of the core contents of rough set theory and is an NP-hard problem. This article proposes a custom attribute reduction algorithm based on an algorithm and uses the algorithm in the historical burst pipeline dataset of the water supply pipeline industry. The results have shown that this method combined with a decision tree can make predictions before water pipe leakage. The algorithm provides the best result of attribute reduction for decision tree methods, which will improve the speed and accuracy of decision-making.

Analysis of Helicopter Air Ambulance Accidents in the United States From 2010 to 2021

ObjectiveHelicopter air ambulance (HAA) services are essential to air medical transport in the United States. However, HAA accidents, incidents, and fatalities have been a reason for concern for HAA operations. This article analyzes the numbers, proportions, contributing or causal factors, and defining events of HAA accidents in the United States from 2010 to 2021. MethodsThe National Transportation Safety Board final investigation reports, defining events, findings, and summary data were analyzed for 83 HAA accidents in the United States from 2010 to 2021. The 2 proportions test was used to compare the proportions of fatal HAA accidents between 2010-2015 and 2016-2021. ResultsThe data show that 21/47 (45%) of HAA accidents in 2010-2015 and 6/36 (17%) in 2016-2021 were fatal, representing a significant (P < .01) reduction in the proportion of fatal accidents in 2016-2021 from 2010-2015 time period. VFR encounter IMC events accounted for 9/47 (19%) of HAA accidents in 2010-2015 and 1/36 (3%) accident in 2016-2021, representing a significant (P < .05) reduction in VFR encounter IMC accidents. ConclusionThere was a statistically significant decrease in the proportion of fatal HAA accidents from 2010-2015 to 2016-2021, which may be attributable to the changes in the regulatory framework, training protocols, safety awareness initiatives, and technological advancements to address HAA safety.

Preventing pediatric accidental decannulation events: A quality improvement initiative

ObjectiveTo describe a quality improvement (QI) method to decrease pediatric accidental decannulation (AD) in the early postoperative period for children under age 3. MethodsA retrospective chart review was conducted on children under age 3 who underwent tracheostomy at Duke University Health System from August 1, 2013 to May 1, 2023 (n = 104). A root cause analysis was used to assess factors associated with AD following pediatric tracheostomy. Based on the factors identified by the research team, retrospective data was collected before (8/1/13 - 1/31/22) and after (2/1/22 - 5/1/23) a single practice change was implemented: using twill neck ties, rather than foam neck ties, to secure newly-placed tracheostomy tubes. Twill ties were applied intraoperatively as a visual cue to signal a recent tracheostomy for the interdisciplinary care team. The primary outcome in the pre-intervention and post-intervention period was measured as 30-day incidence of AD per 10 tracheostomy cases. ResultsPrior to the intervention, a total of 11 ADs occurred in 9 patients across 93 pediatric tracheostomies (1.18 AD per 10 cases). Afterward, 0 ADs occurred across 11 pediatric tracheostomies (0 AD per 10 cases). ConclusionThis data suggests that the twill tie intervention may prevent AD and the associated morbidity. With the twill tie initiative, we describe 11 ADs and associated risk factors and present a QI intervention that may help prevent AD and improve patient safety in the early postoperative period.

Experience of healthcare professionals at the Makiso General Reference Hospital on nursing-related accidents

Introduction: In our hospitals, nursing-related accidents are frequent. It is not uncommon for minor incidents and near misses to occur before a serious accident occurs. The main aims of this study are to explore the experience of healthcare professionals of nursing-related accidents; to determine what to do about nursing-related accidents; and to analyze the attitudes of healthcare professionals to nursing-related accidents. Methods: We conducted a qualitative, phenomenological study based on free, face-to-face interviews. It involved 3 care providers working at the Makiso General Referral Hospital from March 2 to 31, 2024. Results: In terms of experience, respondents identified risk factors, managing emotions during the accident and the consequences of a nursing-related accident. In terms of what to do in the event of a care-related accident, the subjects identified teamwork to prevent care-related accidents, taking precautions before administering care and ensuring patient safety. Finally, with regard to the attitude of nursing staff to accidents attributable to care, respondents expressed their views on reassuring patients that their health would be restored in the event of an accident attributable to nursing care, identifying problems linked to the accident and ways of preventing accidents attributable to care. Conclusion: To prevent nursing-related accidents, it is necessary to put into practice preventive measures that should be taken to reduce the frequency and severity of accidents attributable to nursing care. Nurses should regularly undergo medical training to prevent nursing-related accidents

Transfer functions for QA /QB international regulatory limits for the safe transport of radioactive materials

This paper presents a proposed revision of the International Atomic Energy Agency transport regulations, related to the A 1 and A 2 limit values used to determine the radioactive transport classification. Based on the ‘Q system’, a novel methodology was introduced to derive QA and QB values related to scenarios involving external exposure from a distant source. These values are key parameters that respectively represent the total effective dose and total equivalent dose to the skin, from all primary and secondary particles contributing to radiation exposure. The International Working Group (WG A 1/A 2) is established and associated with the TRANSSC Technical Expert Group on Radiation Protection. A review of the A 1 and A 2 values is performed in response to identified limitations within the existing Q system. The followed approach is based on Monte Carlo simulations that enabled the development of transfer functions aimed at reducing computational time and increasing the flexibility of dose evaluations for any radionuclide with known particle emission spectra. This method allows updating the QA and QB values to account for future data evolutions (decay data, fluence-to-dose conversion coefficients) and standardizing the calculation of regulation limits across all referenced radionuclides and scenarios related to external exposure. The transfer functions are established using three Monte Carlo simulation codes—FLUKA, Geant4, and MCNP—and address the previous limitations of the ‘Q system’, reflecting the latest International Commission for Radiation Protection recommendations and improvements in calculation techniques. The results of the WG show consistent agreement across the codes, with minor discrepancies observed at low primary energies due to statistical uncertainties and different handling of stopping power for electrons/positrons in the codes. This revised approach aligns with current standards and recommendations, ensuring that the radiological consequences of transport accidents are acceptable for the new A 1 and A 2 limits from a radiological protection perspective.

Fast dynamic prediction of consequences of heavy gas leakage accidents based on machine learning

The field of emergency risk management in chemical parks has been characterized by a lack of fast, precise and dynamic prediction methods. The application of computational fluid dynamics (CFD) models, which offer the potential for dynamic and precise prediction, has been hindered by high computational costs. Therefore, taking liquid benzene as a case study, this paper combined machine learning (ML) algorithms with a CFD-based precise prediction model, to develop an ML model for fast dynamic prediction of heavy gas leakage consequences in chemical parks. Employing the CFD data as the input, the prediction models were developed using ML algorithms, refined with Bayesian optimization for parameter tuning. This study utilized PHOENICS software to establish a dynamic prediction model for the diffusion of liquid benzene leakage, validated by Burro nine experiment data. Comparative analyses of models based on five ML algorithms were conducted to evaluate the reliability of their predictions using both CFD standard and noisy data. The results indicated that temperature had the most significant effect on the consequences of the leakage accidents among four key factors (wind speed, temperature, leakage aperture and atmospheric stability), followed by wind speed. These factors served as input variables for ML model training. Among the models evaluated, the eXtreme Gradient Boosting (XGBoost) model showed superior performance, irrespective of the presence of noise in the data. An XGBoost-based fast prediction model was ultimately developed for predicting the consequences of liquid benzene leakage. A case analysis was conducted to validate the feasibility of the model prediction. The relative errors between the predicted and actual values of the model for acute exposure guideline level-1 (AEGL-1), AEGL-2, and AEGL-3 distances were 2.70%, 2.58%, and 0.23%, respectively. Furthermore, the XGBoost model completed the prediction in only 0.218 s, a stark contrast to the hours necessitated by the CFD model, thus offering substantial computational time savings while maintaining high accuracy levels. This paper introduces an ML model for fast dynamic prediction of heavy gas leakage, enabling chemical parks to make more timely and accurate decisions in emergency risk management.

A reconstruction method of stress fields, bending moments and wave parameters for floating nuclear power plants through regular wave identification

Floating nuclear power plants (FNPPs) have the potential to supply abundant electricity, hot water, and freshwater resources for offshore islands and offshore oil and gas extraction platforms. However, the consequences of a nuclear reactor accident can be extremely serious. In addition, there may be many uncertain factors in the actual operation of FNPPs. These factors lead to higher structural safety requirements. So， developing more scientific structural monitoring methods is an effective way to enhance the structural safety of FNPP. Traditional hull monitoring schemes can only track bending and torsional forces on specific cross-sections, failing to identify the overall stress field of the entire vessel structure. The paper proposes a reconstruction method for the stress field, bending moment distribution, and wave parameters of FNPP using regular wave identification. Initially, irregular waves are decomposed into a linear combination of multiple regular waves with different amplitudes and frequencies. Subsequently, the strains induced by these regular waves on the FNPP are utilized as basic functions to establish a mathematical model for reconstructing the stress field. The stress field, bending moment distribution, and wave parameters of the FNPP can be reconstructed by identifying the combination coefficients of the regular wave loads. The ill-posedness of the mathematical model for stress field reconstruction has the potential to significantly impact the accuracy of the stress field reconstruction, which was addressed by optimizing the sensor installation position in this study. Meanwhile, the optimization of the sensor installation position greatly reduces the dimensionality of mathematical models. Finally, a numerical study, i.e. FNPP being designed by China, was used to validate the accuracy of the proposed stress field reconstruction algorithm. The reconstructed stress field of the FNPP closely matched the original stress distribution under various irregular wave conditions.

Advances from R2CA project on reactor simulations for burst rod number evaluation during LOCA

In the frame of the “Reduction of Radiological Consequences of design basis and extension accidents” European Union’s Horizon 2020 project, a specific effort was focused on the update and the development of methodologies to assess the radiological consequences of loss-of-coolant accidents. Evaluation of the radiological consequences associated to this accident is strongly linked to the prediction of the rod burst ratio and new approaches were investigated through research and development associated to accident simulation software. Complementarily to approaches chaining system thermalhydraulic simulation to fuel performance code, approaches with integral codes ASTEC, DRACCAR and ATHLET-CD were developed respectively by ENEA, IRSN and HZDR. These applications were demonstrated on LOCA simulation for PWR and highlighted the capabilities of the tools. The ASTEC PWR model was extended by ENEA, which proposes a 2D core model with an increased number of representative fuel rods. HZDR and IRSN proposes approaches based on 3D core model which are able to capture distinctive fuel assembly responses and predict the rod burst ratio according to the distribution of rod behaviors within the core. This work highlighted several possible core models to predict the rod burst ratio and which can be used in integral tools abled to couple thermal hydraulics and thermomechanics. Advanced core models simulating the thermomechanical response of several representative rods per fuel assemblies and using 3D thermal hydraulics model are recommended due to the heterogeneities on power distribution, which impacts flow distribution. The need to model RPV in 3D was underlined by ATHLET-CD large break loss-of-coolant demonstrative case, which exhibits non-symmetric core heat-up.In addition, demonstrative cases proposed by ENEA and IRSN compared predictions obtained with the specific burst criteria developed in the frame of R2CA project and more classical one devoted to the core coolability assessment. The strong sensitivity of the rod burst ratio prediction to the burst criteria was highlighted. The need to handle uncertainties within a global methodology for rod burst ratio evaluation was underlined.Finally, throughout the development of loss-of-coolant accident applications with ASTEC, DRACCAR and ATHLET-CD, some prospects of development were identified for the codes and should bring advances for LOCA simulation and RBR predictions.

A comparative analysis of the consequences of accidents at Chernobyl and Fukushima Daiichi (Japan) NPPs for agriculture and the environment

A comparative analysis of the consequences of accidents at Chernobyl and Fukushima Daiichi (Japan) NPPs for agriculture and the environment