scholarly journals DEVELOPMENT OF GEO-ENVIRONMENT RISK ASSESSMENT SYSTEM ON SOIL CONTAMINATION DUE TO MINERAL OIL -NUMERICAL ANALYSIS FOR TRANSPORT PHENOMENA OF OIL IN SOIL AND GROUNDWATER AND QUANTITATIVE EVALUATION OF RISK LEVEL DUE TO MULTI-COMPONENT-

2010 ◽  
Vol 66 (3) ◽  
pp. 159-178
Author(s):  
Yasuhide SAKAMOTO ◽  
Junko NISHIWAKI ◽  
Junko HARA ◽  
Yoshishige KAWABE ◽  
Yuichi SUGAI ◽  
...  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Xiao Liang ◽  
Taiyue Qi ◽  
Zhiyi Jin ◽  
Shaojie Qin ◽  
Pengtao Chen

Constructing a shield tunnel that crosses under a river poses considerable safety risks, and risk assessment is essential for guaranteeing the safety of tunnel construction. This paper studies a risk assessment system for a shield tunnel crossing under a river. Risk identification is performed for the shield tunnel, and the risk factors and indicators are determined. The relationship between the two is determined preliminarily by numerical simulation, the numerical simulation results are verified by field measurements, and a sample set is established based on the numerical simulation results. Fuzzy comprehensive evaluation and a backpropagation neural network are then used to evaluate and analyze the risk level. Finally, the risk assessment system is used to evaluate the risk for Line 5 of the Hangzhou Metro in China. Based on the evaluation results, adjustments to the slurry strength, grouting pressure, and soil chamber pressure are proposed, and the risk is mitigated effectively.


2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hongfu Mi ◽  
Yaling Liu ◽  
Wenhe Wang ◽  
Guoqing Xiao

Building fires are characterized by high uncertainty, so their fire risk assessment is a very challenging task. Many indexes and parameters related to building fires are ambiguous and uncertain; as a result, a flexible and robust method is needed to process quantitative or qualitative data and update existing information when new data are available. This paper presents a novel model to deal with the uncertainty of the residential building fire risk and systematically optimize its performance effectiveness. The model includes fuzzy theory, evidence reasoning theory, and expected utility methods. Fuzzy analysis hierarchy process is applied to analyze the residential building fire risk index system and determine the weights of the risk indexes, while the evidence reasoning operator is used to synthesize them. Three buildings were selected as a case study to illustrate the proposed fire risk model. The results show that the fire risk level of three buildings corresponds to “moderate” or below which is consistent with the previous study. These results also truly reflect the actual situation of fire safety in these residential buildings. The application of this model provides a powerful mathematical framework for cooperative modeling of the fire risk assessment system and allows data to be analyzed step by step in a systematic manner. It is expected that the proposed model could provide managers and researchers with flexible and transparent tools to effectively reduce the fire risk in the system.


2014 ◽  
Vol 638-640 ◽  
pp. 804-808
Author(s):  
Bi Xue Zhang ◽  
Feng Hai Ma

According to the geological characteristics of Xi'an, analyze the accidents may occur in metro construction. A metro construction safety risk assessment system should be built on the basis of the cause of the accident. Combined with the data of survey and design of Xi'an No.4 subway construction, using the fuzzy AHP to reach the parameters of risk assessment and build a CIM model. CIM model is applied to the risk assessment of Xi'an No.4 subway construction. The total metro construction safety risk can be gained through analyzing. In addition, risk events that may occur based on specific risk factors to determine the risk level. Lastly, control measures are put forward.


2009 ◽  
Vol 1 (4) ◽  
pp. 251-262 ◽  
Author(s):  
Takeshi KOMAI ◽  
Yoshishige KAWABE ◽  
Junko HARA ◽  
Yasuhide SAKAMOTO ◽  
Hajime SUGITA

2021 ◽  
Vol 2 ◽  
Author(s):  
John D. B. Featherstone ◽  
Yasmi O. Crystal ◽  
Pamela Alston ◽  
Benjamin W. Chaffee ◽  
Sophie Doméjean ◽  
...  

Introduction: The purpose of the present paper is to provide step-by-step guidelines for dental healthcare providers to manage dental caries based upon caries risk assessment (CRA) for ages 0–6 years and 6 years through adult. The manuscript reviews and updates the CAMBRA (caries management by risk assessment) system which includes CRA and caries management recommendations that are guided by the assessed risk level.Caries Risk Assessment: CAMBRA CRA tools (CRAs) have been evaluated in several clinical outcomes studies and clinical trials. Updated CAMBRA CRAs for ages 0–6 years and 6 years through adult are provided. These CRAs have been refined by the addition of a quantitative method that will aid the health care provider in determining the caries risk of individuals.Caries Management Based Upon Risk Assessment: Guidelines for individualized patient care are provided based upon the caries risk status, results of clinical exams and responses of the patient to questions in the CRA. These guidelines are based upon successful outcomes documented in several clinical outcomes studies and clinical trials. The paper includes a review of successful caries management procedures for children and adults as previously published, with additional emphasis on correct use of silver diamine fluoride (SDF) for children. The caries management plan for each individual is based upon reducing the caries risk factors and enhancing the protective factors with the additional aid of behavior modification. Beneficially altering the caries balance is coupled with minimal intervention restorative dentistry, if appropriate. These methods are appropriate for the management of dental caries in all patients.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tian Xu ◽  
Zhanping Song ◽  
Desai Guo ◽  
Yuncai Song

This study presents a cloud model-based approach for risk assessment of existing tunnels in tunneling construction environments where the cloud model provides a basis for uncertainty transformation between its qualitative concepts and quantitative expressions. An evaluation index system is established for risk assessment of existing tunnels based on the tunnel-induced failure mechanism analysis. The assessment result is obtained through the correlation with the cloud model of each risk level. Risk assessment for existing Guangzhou-Shenzhen-Hong Kong Railway Tunnel in the tunneling environment of Shenzhen Metro Line 6 is shown in a case study. Comparisons between Fuzzy Analytic Hierarchy Process (FAHP) methods are further discussed according to results. The proposed evaluation method is verified to be more competitive as the fuzziness and randomness of uncertainties in the risk assessment system can be considered comprehensively. This method can serve as a decision-making tool for other similar project risk assessment methods to increase the likelihood of a successful project in an uncertain environment.


2020 ◽  
Author(s):  
Michael R. Bronsert ◽  
Anne Lambert-Kerzner ◽  
William G. Henderson ◽  
Karl E. Hammermeister ◽  
Chisom Atuanya ◽  
...  

Abstract Background Risk assessment is essential to informed decision making in surgery. Preoperative use of the Surgical Risk Preoperative Assessment System (SURPAS) providing individualized risk assessment, may enhance informed consent. We assessed patient and provider perceptions of SURPAS as a risk assessment tool. Methods A convergent mixed-methods study assessed SURPAS’s trial implementation, concurrently collecting quantitative and qualitative data, separately analyzing it, and integrating the results. Patients and providers were surveyed and interviewed on their opinion of how SURPAS impacted the preoperative encounter. Relationships between patient risk and patient and provider assessment of SURPAS were examined. Results 197 patients were provided their SURPAS postoperative risk estimates in nine surgeon’s clinics. 98.8% of patients reported they understood their surgical risks very or quite well after exposure to SURPAS; 92.7% reported SURPAS was very helpful or helpful. 83.4% of the time providers reported SURPAS was very or somewhat helpful; 44.7% of the time the providers reported it changed their interaction with the patient and this change was beneficial 94.3% of the time. As patient risk increased, providers reported that SURPAS was increasingly helpful (p<0.0001).Conclusions Patients and providers reported the use of SURPAS helpful and informative during the preoperative risk assessment of patients, thus improving the surgical decision making process. Patients thought that SURPAS was helpful regardless of their risk level, whereas providers thought that SURPAS was more helpful in higher risk patients.


2020 ◽  
Author(s):  
Michael R. Bronsert ◽  
Anne Lambert-Kerzner ◽  
William G. Henderson ◽  
Karl E. Hammermeister ◽  
Chisom Atuanya ◽  
...  

Abstract Background: Risk assessment is essential to informed decision making in surgery. Preoperative use of the Surgical Risk Preoperative Assessment System (SURPAS) providing individualized risk assessment, may enhance informed consent. We assessed patient and provider perceptions of SURPAS as a risk assessment tool.Methods: A convergent mixed-methods study assessed SURPAS’s trial implementation, concurrently collecting quantitative and qualitative data, separately analyzing it, and integrating the results. Patients and providers were surveyed and interviewed on their opinion of how SURPAS impacted the preoperative encounter. Relationships between patient risk and patient and provider assessment of SURPAS were examined.Results: A total of 197 patients were provided their SURPAS postoperative risk estimates in nine surgeon’s clinics. Of the total patients, 98.8% reported they understood their surgical risks very or quite well after exposure to SURPAS; 92.7% reported SURPAS was very helpful or helpful. Providers shared that 83.4% of the time they reported SURPAS was very or somewhat helpful; 44.7% of the time the providers reported it changed their interaction with the patient and this change was beneficial 94.3% of the time. As patient risk increased, providers reported that SURPAS was increasingly helpful (p<0.0001).Conclusions: Patients and providers reported the use of SURPAS helpful and informative during the preoperative risk assessment of patients, thus improving the surgical decision making process. Patients thought that SURPAS was helpful regardless of their risk level, whereas providers thought that SURPAS was more helpful in higher risk patients.


Agronomie ◽  
2003 ◽  
Vol 23 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Andy Hart ◽  
Colin D. Brown ◽  
Kathy A. Lewis ◽  
John Tzilivakis

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