scholarly journals Characterizing Spatial Patterns of Pine Wood Nematode Outbreaks in Subtropical Zone in China

2021 ◽  
Vol 13 (22) ◽  
pp. 4682
Author(s):  
Yahao Zhang ◽  
Yuanyong Dian ◽  
Jingjing Zhou ◽  
Shoulian Peng ◽  
Yue Hu ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Risk ◽  
Detection Rate ◽  
Risk Level ◽  
Anthropogenic Activity ◽  
Pine Wood Nematode ◽  
Subtropical Zone ◽  
Pine Wood ◽  
Risk Levels ◽  
Gis Data

Pine wood nematode (PWN), Bursaphelenchus xyophilus, originating from North America, has caused great ecological and economic hazards to pine trees worldwide, especially affecting the coniferous forests and mixed forests of masson pine in subtropical regions of China. In order to prevent PWN disease expansion, the risk level and susceptivity of PWN outbreaks need to be predicted in advance. For this purpose, we established a prediction model to estimate the susceptibility and risk level of PWN with vegetation condition variables, anthropogenic activity variables, and topographic feature variables across a large-scale district. The study was conducted in Dangyang City, Hubei Province in China, which was located in a subtropical zone. Based on the location of PWN points derived from airborne imagery and ground survey in 2018, the predictor variables were conducted with remote sensing and geographical information system (GIS) data, which contained vegetation indices including normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), normalized burn ratio (NBR), and normalized red edge index (NDRE) from Sentinel-2 imagery in the previous year (2107), the distance to different level roads which indicated anthropogenic activity, topographic variables in including elevation, slope, and aspect. We compared the fitting effects of different machine learning algorithms such as random forest (RF), K-neighborhood (KNN), support vector machines (SVM), and artificial neural networks (ANN) and predicted the probability of the presence of PWN disease in the region. In addition, we classified PWN points to different risk levels based on the density distribution of PWN sites and built a PWN risk level model to predict the risk levels of PWN outbreaks in the region. The results showed that: (1) the best model for the predictive probability of PWN presence is the RF classification algorithm. For the presence prediction of the dead trees caused by PWN, the detection rate (DR) was 96.42%, the false alarm rate (FAR) was 27.65%, the false detection rate (FDR) was 4.16%, and the area under the receiver operating characteristic curve (AUC) was equal to 0.96; (2) anthropogenic activity variables had the greatest effect on PWN occurrence, while the effects of slope and aspect were relatively weak, and the maximum, minimum, and median values of remote sensing indices were more correlated with PWN occurrence; (3) modeling analysis of different risk levels of PWN outbreak indicated that high-risk level areas were the easiest to monitor and identify, while lower incidence areas were identified with relatively low accuracy. The overall accuracy of the risk level of the PWN outbreak was identified with an AUC value of 0.94. From the research findings, remote sensing data combined with GIS data can accurately predict the probability distribution of the occurrence of PWN disease. The accuracy of identification of high-risk areas is higher than other risk levels, and the results of the study may improve control of PWN disease spread.

scholarly journals Analisa Risiko Keselamatan Dan Kesehatan Kerja Menggunakan Metode HAZOPs Di Area Gas Cleaning System Di PT. RK

2019 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
Muhamad Bob Anthony
Keyword(s):  
High Risk ◽  
Risk Analysis ◽  
Low Risk ◽  
Risk Level ◽  
Moderate Risk ◽  
Gas Cleaning ◽  
Risk Levels ◽  
Hazard Risk ◽  
Cleaning System ◽  
Extreme Risk

PT. RK is one of the major international steel producing companies. This study aims to determine the potential hazards and the value of the level of risk that is likely to occur in the new plant owned by PT. RK i.e. the gas cleaning system area which is currently in the process of entering 95% progress. This study uses the Hazard & Operability Study (HAZOPs) method in analyzing risks in the gas cleaning system area of PT. RK. The Hazard & Operability Study (HAZOPs) method was used in this study because this method is very suitable for a new plant to be used. Based on the identification of potential hazards and risk analysis that has been done in the area of gas cleaning system using the HAZOPs method, it was found that 11 deviations that might occur from all existing nodes, i.e. for extreme risk levels of 1 (one) deviation or 9%, level high risk of 2 (two) deviations or 18%, moderate risk level of 6 (six) deviations or 55% and low risk level of 2 (two) deviations or 18%.Keyword : Gas Cleaning System, HAZOPs, Potential of Hazard, Risk Levels PT. RK merupakan salah satu perusahaan manufaktur besar penghasil baja berskala internasional. Penelitian ini bertujuan untuk mengetahui potensi bahaya dan nilai level risiko yang kemungkinan terjadi di plant baru milik PT. RK yaitu area gas cleaning system yang saat ini proses pekerjaannya sudah memasuki progress 95%. Penelitian ini menggunakan metode Hazard & Operability Study (HAZOPs) dalam menganalisa risiko di area gas cleaning system  PT. RK.  Metode Hazard & Operability Study (HAZOPs) digunakan dalam penelitian ini dikarenakan metode ini sangat cocok untuk sebuah plant baru yang akan digunakan. Berdasarkan identifikasi potensi bahaya dan analisa risiko yang telah dilakukan di area gas cleaning system dengan menggunakan metode HAZOPs, didapatkan bahwa 11 penyimpangan yang kemungkinan terjadi dari semua node yang ada yaitu untuk level risiko extreme sebanyak 1 (satu) penyimpangan atau sebesar 9%, level risiko high risk sebanyak 2 (dua) penyimpangan atau sebesar 18%, level risiko moderate sebanyak 6 (enam) penyimpangan atau sebesar 55% dan level risiko low risk sebanyak 2 (dua) penyimpangan atau sebesar 18%.Kata Kunci: Gas Cleaning System, HAZOPs, Level Risiko, Potensi Bahaya

scholarly journals Flood Risk Assessment of Metro System Using Improved Trapezoidal Fuzzy AHP: A Case Study of Guangzhou

2021 ◽  
Vol 13 (24) ◽  
pp. 5154
Author(s):  
Guangpeng Wang ◽  
Lianyou Liu ◽  
Peijun Shi ◽  
Guoming Zhang ◽  
Jifu Liu
Keyword(s):  
High Risk ◽  
Flood Risk ◽  
Urban Areas ◽  
Fuzzy Ahp ◽  
Scientific Data ◽  
Risk Level ◽  
Analytic Hierarchy ◽  
Risk Levels ◽  
Metro Systems ◽  
Very High

Metro systems have become high-risk entities due to the increased frequency and severity of urban flooding. Therefore, understanding the flood risk of metro systems is a prerequisite for mega-cities’ flood protection and risk management. This study proposes a method for accurately assessing the flood risk of metro systems based on an improved trapezoidal fuzzy analytic hierarchy process (AHP). We applied this method to assess the flood risk of 14 lines and 268 stations of the Guangzhou Metro. The risk results validation showed that the accuracy of the improved trapezoidal fuzzy AHP (90% match) outperformed the traditional trapezoidal AHP (70% match). The distribution of different flood risk levels in Guangzhou metro lines exhibited a polarization signature. About 69% (155 km2) of very high and high risk zones were concentrated in central urban areas (Yuexiu, Liwan, Tianhe, and Haizhu); the three metro lines with the highest overall risk level were lines 3, 6, and 5; and the metro stations at very high risk were mainly located on metro lines 6, 3, 5, 1, and 2. Based on fieldwork, we suggest raising exits, installing watertight doors, and using early warning strategies to resist metro floods. This study can provide scientific data for decision-makers to reasonably allocate flood prevention resources, which is significant in reducing flood losses and promoting Guangzhou’s sustainable development.

scholarly journals Detection and Location of Dead Trees with Pine Wilt Disease Based on Deep Learning and UAV Remote Sensing

2020 ◽  
Vol 2 (2) ◽  
pp. 294-307 ◽  
Author(s):  
Xiaoling Deng ◽  
Zejing Tong ◽  
Yubin Lan ◽  
Zixiao Huang
Keyword(s):  
Neural Network ◽  
Remote Sensing ◽  
Deep Learning ◽  
Pine Wilt Disease ◽  
Wilt Disease ◽  
Pine Wood Nematode ◽  
Dead Tree ◽  
Pine Wood ◽  
Tree Detection ◽  
Pine Wilt

Pine wilt disease causes huge economic losses to pine wood forestry because of its destructiveness and rapid spread. This paper proposes a detection and location method of pine wood nematode disease at a large scale adopting UAV (Unmanned Aerial Vehicle) remote sensing and artificial intelligence technology. The UAV remote sensing images were enhanced by computer vision tools. A Faster-RCNN (Faster Region Convolutional Neural Networks) deep learning framework based on a RPN (Region Proposal Network) network and the ResNet residual neural network were used to train the pine wilt diseased dead tree detection model. The loss function and the anchors in the RPN of the convolutional neural network were optimized. Finally, the location of pine wood nematode dead tree was conducted, which generated the geographic information on the detection results. The results show that ResNet101 performed better than VGG16 (Visual Geometry Group 16) convolutional neural network. The detection accuracy was improved and reached to about 90% after a series of optimizations to the network, meaning that the optimization methods proposed in this paper are feasible to pine wood nematode dead tree detection.

Comparison of fall risk assessment scales in the triage of an Italian emergency department

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Piras ◽  
G Murenu ◽  
G Piras ◽  
G Pia ◽  
A Azara ◽  
...  
Keyword(s):  
Risk Assessment ◽  
At Risk ◽  
Emergency Department ◽  
High Risk ◽  
Fall Risk ◽  
Low Risk ◽  
Risk Level ◽  
Moderate Risk ◽  
Fall Risk Assessment ◽  
Risk Levels

Abstract Background Falls in hospital are adverse events with serious consequences for the patient. Fall risk assessment requires easy tools that are suitable for the specific clinical context. This is important to quickly identify preventing measures. The aim of the study is to identify an appropriate scale for assessing fall risk in patients from an emergency department. Methods For the fall risk assessment in the emergency department, three scales were identified in literature: Kinder 1, MEDFRAT, and Morse. MEDFRAT and Morse classify the patient in high, moderate, and low risk; Kinder 1 split patients “at risk” (also when there is only one positive item) and “non-risk” (in which all items are negative). The study was carried out in July 2019 in an Italian emergency department. Patients who arrived in triage were assessed for the fall risk using the three scales. Results On a sample of 318 patients, the used scales show different levels of fall risk. For Kinder 1, 83.02% is at risk and 16.98% is not at risk; for MEDFRAT, 14.78% is at high risk, 15.09% moderate, and 70.13% low risk; for Morse, 8.81% is at high risk, 35.53% moderate, and 56.66% low risk. As Kinder 1 implies as “high risk” that all items of the questionnaire are positive, to compare Kinder 1 to the other scales with three measurements, we assumed only one positive response as “moderate risk”, all negative responses as “low risk”. Thus, Kinder 1 shows no cases at high risk, 83.02% moderate risk, and 16.98% low risk. All the scales show that the moderate-high risk increases with age. MEDFRAT and Morse have concordant percentages for young (13.6%), elderly (61.2%), and long-lived (66.6%) people. Kinder 1, 59%, 96.7%, and 100%, respectively. Conclusions The comparison between scales shows inhomogeneity in identifying the level of risk. MEDFRAT and Morse appear more reliable and consistent. Key messages An appropriate assessment scale is important to identify the fall risk level. Identifying accurate fall risk levels allows for implementing specific prevention actions.

scholarly journals Measurement Of Occupational Safety And Health Risk Levels Of Kadiri University LP3M Building

UKaRsT ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 124
Author(s):  
Sony Susanto ◽  
Hendy Hendy ◽  
Budi Winarno ◽  
Agata Iwan Candra
Keyword(s):  
High Risk ◽  
Construction Projects ◽  
Occupational Safety ◽  
Risk Index ◽  
Assessment Method ◽  
Risk Classification ◽  
Risk Level ◽  
Work Activity ◽  
Risk Levels ◽  
High Level

Construction work for high rise buildings is a dense work activity with a high level of risk. The purpose of this research is that construction of the building takes place in the middle of lecture activities where many students, lecturers, and staff carry out activities in the campus environment, considering that construction projects are generally vulnerable to work accidents. This study investigated the identification, K3 risk assessment, and how to control OHS risks in Kadiri University LP3M building projects. The assessment method uses a matrix sourced from AS / NZS 4360: 2004. The study population numbered 58 workers ranging from workers, artisans, project guards, forepersons, executors, and office staff. The sample in this study amounted to 38 respondents. Data collected from questionnaires to respondents. The results of the study showed that immovable/ tripped objects with a risk index of 20 included a very high-risk classification, high-risk classification of 4 variables, classification at medium risk level as many as ten variables can endanger workers and jobs while classification at a low-risk level as much as two variables.

Risk management in radiation therapy with SEVRRA

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Geórgia Santos Joana ◽  
Marcello Gomes Gonçalves ◽  
Camila Salata ◽  
Flávia Cristina Teixeira ◽  
Emmilly Sandrini ◽  
...  
Keyword(s):  
Risk Management ◽  
Radiation Therapy ◽  
High Risk ◽  
Security Analysis ◽  
Regulatory Agencies ◽  
Risk Level ◽  
Risk Levels ◽  
Importance Analysis ◽  
Professional Resources ◽  
High Degree

ABSTRACT Radiation therapy is a complex treatment modality involving several technological and professional resources as well as a large number of attributions of these professionals with a high degree of interdependence. Thus there are many possibilities of failure in the treatment process that may lead to an accidental exposure. So regulatory agencies have established guidelines in their regulations in order to prevent accidental exposures through security analysis planning and risk management. The System of EValuation of Risk in RAdiotherapy, also known as SEVRRA, is based on the risk matrix methodology and allows the risk assessment of radiation therapy facilities in a prescriptive way, highlighting events leading to high-risk levels and severe consequences for individuals. With SEVRRA it is also possible to establish an importance analysis of the barriers proposed to avoid or mitigate such events.This work aimed to demonstrate the application of SEVRRA for the risk management of radiation therapy facilities. The risk profile of the facility was determined by identifying the highest risk level events, and the barriers of greater impact for the overall risk level. After implementing some missing barriers in the original facility profile, it was achieved a reduction from 31% to 8% in the number of events leading to high-risk level, showing the effectiveness of SEVRRA for the risk management in radiation therapy facilities.

scholarly journals Risk Assessment at the Plate Production Unit (PPL) of PT. INKA (Persero)

2021 ◽  
Vol 10 (3) ◽  
pp. 316
Author(s):  
Monalisa Ma'rifat ◽  
Atiya Thifal Rofifa ◽  
Tri Martiana
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
High Risk ◽  
Hazard Identification ◽  
Residual Risk ◽  
Production Unit ◽  
Risk Level ◽  
Risk Levels ◽  
Safety And Health ◽  
Medium Risk

Introduction: The plate manufacturing production unit is one of the work units in PT. INKA (Persero), which involves the interaction between humans and machines in its activities, heavy equipment, and materials, all of which can cause possible hazard impacts that can impact the safety and health of workers. The purpose of this study is to conduct risk assessment on occupational safety and health aspects by identifying risks, assessing risks, identifying control efforts and assessing residual risk as a form of efforts to prevent occupational accidents and occupational diseases, using existing resources effectively and efficiently. Method: This research is a type of qualitative research, through interviews and observations, with cross-sectional studies and descriptive analysis. The interviewees for this study were K3LH management managers, steel managers, and machine operators in the plate production unit (PPL). The tools in this study werean interview guide, Job Safety Analysis (JSA) and Hazard Identification Risk Assessment Determining Control (HIRADC) using the AS / NZS 4360: 2004 Risk Management Worksheet Standard Risk Matrix. Results: From the research, it was found that there are 94 hazards for 11 different machines. Regarding the risk levels, there are 9 extreme risk levels, 46 high risk levels, 33 medium risk levels and 6 low risk levels. Conclusion: There are still 61 risks with medium risk level and 6 remaining risks with high risk level that still need control. Control efforts have been implemented by PT. INKA (Persero) in accordance with the hierarchy of control, such as the use of PPE and the provision of work SOPs. Keywords: hazard identification, risk management, risk assessment, risk control, residual risk 

scholarly journals Eight-Year Health Risks Trend Analysis of a Comprehensive Workplace Health Promotion Program

2020 ◽  
Vol 17 (24) ◽  
pp. 9426
Author(s):  
Antti Äikäs ◽  
Pilvikki Absetz ◽  
Mirja Hirvensalo ◽  
Nicolaas Pronk
Keyword(s):  
Health Promotion ◽  
High Risk ◽  
Health Risk ◽  
Health Risks ◽  
Workplace Health Promotion ◽  
Risk Level ◽  
Workplace Health ◽  
Risk Levels ◽  
Time Periods ◽  
Prospective Longitudinal

Research has shown that workplace health promotion (WHP) efforts can positively affect employees’ health risk accumulation. However, earlier literature has provided insights of health risk changes in the short-term. This prospective longitudinal quasi-experimental study investigated trends in health risks of a comprehensive, eight-year WHP program (n = 523–651). Health risk data were collected from health risk assessments in 2010–2011, 2013–2014, and 2016–2017, applying both a questionnaire and biometric screenings. Health risk changes were investigated for three different time-periods, 2010–2013, 2014–2017, and 2010–2017, using descriptive analyses, t-tests, and the Wilcoxon Signed Rank and McNemar’s test, where appropriate. Overall health risk transitions were assessed according to low-, moderate-, and high-risk categories. Trend analyses observed 50–60% prevalence for low-, 30–35% for moderate-, and 9–11% high-risk levels across the eight years. In the overall health risk transitions of the three time-periods, 66–73% of participants stayed at the same risk level, 13–15% of participants improved, and 12–21% had deteriorated risk level across the three intervention periods. Our findings appear to indicate that the multiyear WHP program was effective in maintaining low and moderate risk levels, but fell short of reducing the total number of health risks at the population level.

scholarly journals Evaluation of Dietary Patterns and Health Status of Young Adults from Turkey: University Students from Urban and Rural Provinces

2017 ◽  
Vol 2 (1) ◽  
Keyword(s):  
High Risk ◽  
University Students ◽  
Fast Food ◽  
Consumption Rate ◽  
Dietary Habits ◽  
Eating Habits ◽  
Risk Level ◽  
Risk Levels ◽  
Main Meal ◽  
Very High

Young people’s taking nutrition in a healthy way and their getting proper eating habits are of great importance in terms of both individuals and society as a whole. However, the studies that have been conducted in our country show that the young skip meals, their consumption rate of fruits and vegetables is low and fast-food is their eating habit. This study was conducted with the participation of 617 students selected by random sampling method on a voluntary basis (313 female and 304 male) from the age range of 17-30 who are continuing their education at Ankara University (Faculty of Language, History and Geography) and Cumhuriyet University. In this study where the aim was to determine the basic eating habits, risk levels of eating habits and the frequency of food consumption of university students, students were given a questionnaire and by taking their anthropometric height and weight measures Body Mass Index was evaluated. 5.3% of the students was found to be underweight (<18.5 kg/m2 ), 63.4% was normal (19-24.99 kg/m2 ), 23.2% was overweight (≥25 kg/m2 ) and 8.1% was obese (≥30 kg/m2 ). Whereas the rate of skipping main meal was 33.5%, it was determined that the most skipped meal was lunch. In the evaluation of risk levels of dietary habits, 37.8% of male students are at the high risk level and 2.6% of them are at the very high risk level. Similarly, 39.3% of females are at the high risk level and 1.9% percent of them are at the very high risk level. It was also found that the consumption rate of fruits, vegetables, milk and milk products of students was low. Therefore, it should be provided that young people will stay away unhealthy habits and they will take healthy nutrition.

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