Hazard Management Research Articles

Household Hazardous Materials Identification and Management Practices Among Residents of Irewole Local Government Area, Osun State, Nigeria

Most emerging world contaminants have been linked to improper management of household hazardous materials and are currently receiving global attention due to the threat they pose to public health and the environment. There are guidelines for the entire management of household hazardous materials, but there exist inadequate information on its identification and management practices at household level. Therefore, the present study was conducted to fill the gap. A descriptive cross-sectional study was conducted among 346 randomly selected households in Irewole Local Government Area, Osun State, Nigeria. A validated semi-structured questionnaire and observational checklist were used to gather information. Quantitative data were analyzed using descriptive statistics and chi-square at p<0.05. Respondents’ mean age was 34.5±12.8 years, 54.3% were female while 66.8% had attained tertiary education. The major hazardous materials observed in most of the houses were laundry and dish washing detergents (94.1%), insecticide (90.7%) and household disinfectants (88.3%). Fifty-nine percent of the participants mentioned open burning as the most preferred method of disposal of household hazardous materials. The mean practice score was 6.4±1.9, 62.0% had inappropriate practices towards household hazardous materials management. Significantly, 78.5% of the respondents with tertiary education had appropriate practice towards managing household hazardous materials than those who had attained secondary (16.9%) and primary education (4.6%). Laundry and dish washing detergents, insecticide and household disinfectants were observed in most of the houses. Also participants were engaged in inappropriate practices for the management of household hazardous waste. Households should have access to hazardous waste management facilities, and educational information and communication materials to improve their management practices.

Informing Urban Flood Risk Adaptation by Integrating Human Mobility Big Data During Heavy Precipitation.

Understanding the impact of heavy precipitation on human mobility is critical for finer-scale urban flood risk assessment and achieving sustainable development goals #11 to build resilient and safe cities. Using ∼2.6 million mobile phone signal data collected during the summer of 2018 in Jiangsu, China, this study proposes a novel framework to assess human mobility changes during rainfall events at a high spatial granularity (500 m grid cell). The fine-scale mobility map identifies spatial hotspots with abnormal clustering or reduced human activities. When aggregating to the prefecture-city level, results show that human mobility changes range between -3.6 and 8.9%, revealing varied intracity movement across cities. Piecewise structural equation modeling analysis further suggests that city size, transport system, and crowding level directly affect mobility responses, whereas economic conditions influence mobility through multiple indirect pathways. When overlaying a historical urban flood map, we find such human mobility changes help 23 cities reduce 2.6% flood risks covering 0.45 million people but increase a mean of 1.64% flood risks in 12 cities covering 0.21 million people. The findings help deepen our understanding of the mobility pattern of urban dwellers after heavy precipitation events and foster urban adaptation by supporting more efficient small-scale hazard management.

A Study on Assessment of Noise Exposure in the Port Industry: Implications for Occupational Health and Safety

The workplace today is getting more complex, as exposure to chemical, physical, and biological substances at work poses an increasing range of hazards and risks. Industrial hygiene is "that science and art devoted to the anticipation, recognition, evaluation, and control of those environmental factors or stresses arising in or from the workplace". Exposure assessment is the heart of industrial hygiene initiatives, which serves as the foundation for all other functional elements, including medical surveillance, exposure monitoring, engineering controls, administrative controls, and hazardous materials management. Ports are key hubs for worldwide trade, handling a wide range of cargo types with various machinery and equipment. The operational activities within these environments frequently generate high levels of noise, posing a potential hazard to the well-being of the workforce. The purpose of this study is to conduct a comprehensive assessment of noise exposure in the port industry at different locations and to propose appropriate mitigation strategies. The methodology involves the use of sound level measurements using a sound level meter in various port environments. A thorough examination was carried out to identify specific locations for the purpose of conducting noise monitoring. The survey facilitated the quantitative assessment of noise exposure. Based on the findings of this study, necessary recommendations are proposed to minimize noise exposure and protect the well-being of port workers. The insights gained will not just assist port workers but will also contribute to a broader awareness of sustainable and responsible industrial practices. Keywords: Noise exposure, Port industry, Noise assessment, Noise control methods, Personal protective equipment.

Challenges in managing emergency offshore: A comparison of offshore and onshore perspectives

Three segments, which are the upstream, midstream, and downstream, make up the oil and gas business. At each stage of these oil and gas operations, there are differences in hazard and risk management that affect emergency management. Offshore emergency management presents more challenges compared to onshore emergency management, this is largely due to the remote and harsh environment, limited resources, and potential risk to human lives. The type of emergency also affects the level of challenge faced by offshore and onshore emergency management. The Covid-19 pandemic has had a major impact on effective emergency management in the oil and gas industry, requiring companies to adapt and adjust their emergency response plans, procedures, and technology to ensure the safety of personnel and the public while maintaining effective emergency management capabilities. The main objective of this study is to identify the challenges of emergency management and compare the offshore and onshore emergency management processes based on the element of effective emergency management. Document review using the PRISMA analysis was applied to compare offshore and onshore emergency management based on a review of 22 articles. The PRISMA analysis identified 22 relevant studies that covered a range of topics related to emergency management, including command structures, planning and information management, communication, situation awareness, and resources and logistics. Thereafter, the face validity method was used to examine the perspective of 10 emergency management professionals to validate these findings. Offshore and onshore facilities both possess different risks in emergency situations. Based on the results, it is essential to manage command structure, planning, information management, communication, situation awareness, resources, and logistics during disaster response and recovery stages. These five elements are critical to emergency management. Both offshore and onshore emergency management have their own unique challenges in resource constraints, weather conditions, accessibility and communication.

IDENTIFIKASI BAHAYA DAN PENILAIAN RISIKO DI KAWASAN WISATA LEUWI KENIT, CILETUH PALABUHANRATU UGG

Ciletuh Palabuhanratu as the first geopark in West Java which has been recognized by UNESCO since 2018, is famous as the first land in western Java. One of the natural tourist object in the Geopark area with the beauty of ancient rock structures aged more than 60 million years ago is the Leuwi Kenit natural tourist destination in Pasirpanjang Village, which has a very large number of tourists, but in certain periods there are often visitor accidents. This research aims to identify hazards and risk assessment, as well as risk control from hazards, with research objects including parking areas, entrance gates, access routes, play facilities, and exit routes. The research method is a qualitative Hazard Identification and Risk Assessment and mapping of danger points, literature studies, field observations, interviews with the community, tour guides and tourist attraction guards. Based on the results of the study, there are fifteen danger points in the Leuwi Kenit tourist attraction, some of which can occur when the activity is running with a range of risk relative status, namely low to high. Risk relative high status is recorded to have dominated with seven danger points, risk relative moderate status with six danger points, and risk relative low with two danger points. According to the results of the study, there are fifteen danger points in the Leuwi Kenit tourist attraction, some of which can occur when the activity is running with a range of risk relative status, namely low to high. Risk relative high status is recorded as dominant with seven danger points, risk relative moderate status with six danger points, and risk relative low status with two danger points. The results of the risk assessment show that the risk status is included in potential hazards with high and medium hazard risk levels, management attention and control planning are needed. Alternative risk controls that can be implemented to minimize the occurrence of risk are administrative, engineering, and elimination approaches. Forms of risk avoidance applications such as making paths according to safe standards, making information boards for hazard location points, and rearranging amusement ride according to safety standards at Leuwi Kenit.

Investigating the dynamic nature of landslide susceptibility in the Indian Himalayan region.

Landslide susceptibility zonation (LSZ) mapping is used to delineate areas prone to landslides and is critical for effective landslide hazard management. The existing methodologies for generating such maps tend to neglect the influence of dynamic environmental variables on landslide occurrences, which may lead to obsolete and erroneous estimates of landslide susceptibility (LS) for a concerned area. Although recent studies have started to report the effects of Land Use/ Land Cover (LULC) variation on LSZ mapping, variations in other dynamic variables like rainfall, soil moisture, and evapotranspiration apart from LULC may also influence slope stability in mountainous regions. The present study investigates the impact of variations in these four variables on the LS distribution, of a selected Indian Himalayan region between 2017 and 2021. Random Forest (RF) susceptibility models are utilized for evaluating the LS for the selected years and geospatial technologies are employed for LS change detection. The results indicate up to 19% variations in the spatial extent for some of the zones of the generated LSZ maps. The research findings of this study are crucial since they reveal the impact of dynamic behavior on LS, which has not been previously documented in the literature.

Data for critical infrastructure network modelling of natural hazard impacts: Needs and influence on model characteristics

Natural hazards impact interdependent infrastructure networks that keep modern society functional. While a variety of modelling approaches are available to represent critical infrastructure networks (CINs) on different scales and analyse the impacts of natural hazards, a recurring challenge for all modelling approaches is the availability and accessibility of sufficiently high-quality input and validation data. The resulting data gaps often require modellers to assume specific technical parameters, functional relationships, and system behaviours. In other cases, expert knowledge from one sector is extrapolated to other sectoral structures or even cross-sectorally applied to fill data gaps. The uncertainties introduced by these assumptions and extrapolations and their influence on the quality of modelling outcomes are often poorly understood and difficult to capture, thereby eroding the reliability of these models to guide resilience enhancements. Additionally, ways of overcoming the data availability challenges in CIN modelling, with respect to each modelling purpose, remain an open question. To address these challenges, a generic modelling workflow is derived from existing modelling approaches to examine model definition and validations, as well as the six CIN modelling stages, including mapping of infrastructure assets, quantification of dependencies, assessment of natural hazard impacts, response & recovery, quantification of CI services, and adaptation measures. The data requirements of each stage were systematically defined, and the literature on potential sources was reviewed to enhance data collection and raise awareness of potential pitfalls. The application of the derived workflow funnels into a framework to assess data availability challenges. This is shown through three case studies, taking into account their different modelling purposes: hazard hotspot assessments, hazard risk management, and sectoral adaptation. Based on the three model purpose types provided, a framework is suggested to explore the implications of data scarcity for certain data types, as well as their reasons and consequences for CIN model reliability. Finally, a discussion on overcoming the challenges of data scarcity is presented.

Surveillance of Fleas and Their Small Mammal Hosts for Plague Risks in Some Main Seaports of the Islands of the Southwestern Indian Ocean.

Since ancient times, seaports have been the hot spots for plague introduction into free countries. Infected ship rats reached new areas, and epizootics occurred prior to human infection via flea bites. Beginning in the 1920s/1930s, rodent and flea surveillance was carried out as part of plague hazard management in seaports of the world. Nowadays, such activity is not done regularly. In the southwestern Indian Ocean (SWIO) region, plague surveillance is of great importance given plague endemicity in Madagascar and thus the incurred risk for neighboring islands. This study reports animal-based surveillance aimed at identifying fleas and their small mammal hosts in SWIO seaports as well as Yersinia pestis detection. Small mammal trappings were performed in five main seaports of Madagascar (Toamasina and Mahajanga), Mauritius (Port Louis), and the Union of Comoros (Moroni and Mutsamudu). Mammals were euthanized and their fleas collected and morphologically identified before Y. pestis detection. In total, 145 mammals were trapped: the brown rat Rattus norvegicus (76.5%), the black rat Rattus rattus (8.3%), and the Asian house shrew Suncus murinus (15.2%). Fur brushing allowed collection of 1,596 fleas exclusively identified as Xenopsylla cheopis. All tested fleas were negative for Y. pestis DNA. This study shows that both well-known plague mammal hosts and flea vectors occur in SWIO seaports. It also highlights the necessity of carrying out regular animal-based surveillance for plague hazard management in this region.

Metagenomic absolute quantification of antibiotic resistance genes and virulence factor genes-carrying bacterial genomes in anaerobic digesters

Sewage treatment works have been considered as hotspots for the dissemination of antibiotic resistance genes (ARGs). Anaerobic digestion (AD) has emerged as a promising approach for controlling the spread of ARGs while destroying biomass in sludge. Evaluating the impact of AD on ARG removal relies on the absolute quantification of ARGs. In this study, we quantified the ARG concentrations in both full-scale and lab-scale AD systems using a cellular spike-ins based absolute quantification approach. Results demonstrated that AD effectively removed 68 ± 18 %, 55 ± 12 %, and 57 ± 19 % of total ARGs in semi-continuous AD digesters, with solid retention times of 15, 20, and 25 days, respectively. The removal efficiency of total ARGs increased as the AD process progressed in the batch digesters over 40 days. A significant negative correlation was observed between digestion time and the concentrations of certain ARG types, such as beta-lactam, sulfonamide, and tetracycline. However, certain potential pathogenic antibiotic resistant bacteria (PARB) and multi-resistant high-risk ARGs-carrying populations robustly persisted throughout the AD process, regardless of the operating conditions. This study highlighted the influence of the AD process and its operating parameters on ARG removal, and revealed the broad spectrum and persistence of PARB in AD systems. These findings provided critical insights for the management of microbial hazards.

Automatic and Efficient Detection of Loess Landslides Based on Deep Learning

Frequent landslide disasters on the Loess Plateau in northwestern China have had a serious impact on the lives and production of the people in the region due to the fragile ecological environment and severe soil erosion. The effective monitoring and management of landslide hazards is hindered by the wide range of landslide features and scales in remotely sensed imagery, coupled with the shortage of local information and technology. To address this issue, we constructed a loess landslide dataset of 11,010 images and established a landslide detection network model. Coordinate Attention (CA) is integrated into the backbone with the aid of the YOLO model to capture precise location information and remote spatial interaction data from landslide images. Furthermore, the neck includes the Convolutional Block Attention Module (CBAM), which prompts the model to prioritize focusing on legitimate landslide objectives while also filtering out background noise to extract valid feature information. To efficiently extract classification and location details from landslide images, we introduce the lightweight Decoupled Head. This enhances detection accuracy for landslide objectives without excessively increasing model parameters. Furthermore, the utilization of the SIoU loss function improves angle perception for landslide detection algorithms and reduces the deviation between the predicted box and the ground truth box. The improved model achieves landslide object detection at multiple scales with a mAP of 92.28%, an improvement of 4.01% compared to the unimproved model.

Phenomenological Study of the Implementation of Digitalization in the Management of Medical Hazardous Waste

This study aims to describe the process of implementing digitalization in the management of hazardous medical waste (B3 waste) at RSIA Siti Hawa Padang. The sub-focus of this research includes providing an overview of the application of Festronik, a description of the Festronik usage process, an overview of the benefits of using Festronik, and an overview of the management of hazardous medical waste and its environmental impact. The research method employed is qualitative, exploring the phenomenon in-depth. Data were obtained through interviews with 10 informants, comprising 2 primary informants and 8 key informants from RSIA Siti Hawa Padang. Sample selection was carried out using purposive sampling to ensure a comprehensive understanding. Data analysis in this study used Collaizi's nine-step data interpretation method (1978). The findings of this research reveal a comprehensive understanding of the general implementation of digitalization through Festronik at RSIA Siti Hawa Padang. The application of Festronik enhances the effectiveness of hazardous medical waste management, improves hospital accreditation assessments, and effective hazardous medical waste management has a positive impact on the hospital's environmental health.

Assessing the policy benefits of constructing “Zero-waste Cities” in China: From the perspective of hazardous waste lifecycle management

Based on China's quasi-natural experiment of constructing “Zero-waste Cities”, this study assessed its policy benefits on hazardous waste lifecycle management. Utilizing the theory of difference-in-differences analysis, the study quantifies the net benefits of the policy in 10 pilot cities using an average treatment effect formula, and the results indicate a reduction of 162,900 tons/year in waste generation, an increase of 2.3 % in utilization and disposal rate, and a decrease of 28,200 tons/year in end-of-pipe storage. By constructing a regression model and employing robustness tests such as changing control variables, substituting the explained variable, re-matching control groups, and random assignment of pilot sites, the study confirms that the significant policy benefits primarily lie in source reduction, with a reduction intensity of approximately 1.73 tons/100 million yuan of industrial GDP. Additionally, by applying the mixed-effects model and mediation-analysis model, the study finds that the policy benefit of source reduction exhibits a lag effect, and during the pilot period, the main approach to achieving the benefit was through enhancing cleaner production in companies rather than adjusting industrial structures in cites.

Reinvestigating social vulnerability from the perspective of Critical Disaster Studies (CDS): directions, opportunities and challenges in Aotearoa disaster research

ABSTRACT This article argues that resilience has been overemphasised in popular and scholarly discourse, while social vulnerability has been comparatively overlooked. We therefore need to shift the focus from resilience and adaptation towards vulnerability and the various structures that engender and maintain systemic inequality and disadvantage. This necessitates a shift from strict hazard management and resilience building to considerations of social justice. People should not have to be resilient to ongoing marginalisation and stigmatisation, and, in focusing on individual resilience, systemic disadvantage is obscured. Disaster scholars here must also reckon with the structural violence of colonisation. Aotearoa New Zealand has a unique hazard profile, and it has unique social infrastructures that can help deal with them. The best disaster mitigation and recovery programmes are inclusive and equity driven. Greater attention to Indigenous Knowledge – Mātauranga Māori – and Indigenous institutions, such as marae and the myriad relationships and connections that such institutions support, might potentially play a crucial role in future disaster mitigation and response. Glossary of Māori words: Aotearoa: New Zealand; Awa: stream, River; Hapū: a division of people, Community; Iwi: tribe; Mātauranga Māori: Indigenous knowledge; Kāinga: home; Manaakitanga: respect and care for others; Marae: communal and sacred facility; Ōtautahi: Christchurch; Raupatu: conquest and confiscation; Rohe: home territory; Rongomau Taketake: Indigenous Rights Governance Partner; Tairāwhiti: Gisborne district; Te Kāhui Tika Tangata: Human Rights Commission; Te Tari Taiwhenua: Department of Internal Affairs; Te Tiriti: The Treaty (of Waitangi); Tiko; Poo; Tino rangatiratanga: self-determination; Tupuna: ancestor; Urupā, Cemetary; Whakapapa: descent, Geneaology, Lineage; Whakawhānaungatanga: the practice of establishing, Maintaining and nurturing relationships; Whenua: land

Enhancing Hazardous Chemical Management in Chinese University Laboratories: Strategies for Safety and Efficiency

This paper examines the management of hazardous chemicals in Chinese university laboratories, identifying keychallenges and proposing improvements. It reviews current practices and safety measures, highlighting deficiencies suchas inadequate safety systems and insufficient awareness among personnel. The study emphasizes the necessity of tailoredsafety management systems, the integration of digital tracking technologies like Radio Frequency Identification, andenhanced safety training for staff. The proposed recommendations aim to mitigate risks and enhance laboratory safety andefficiency. In conclusion, the paper asserts that a comprehensive approach, encompassing improved management systems,technological advancements, and educational initiatives, is essential for safer chemical handling in academic researchenvironments

The impact of food safety regulatory information intervention on enterprises’ production violations in China: a randomized intervention experiment

The prevalence of unsafe food poses a widespread challenge across numerous nations. Despite the continuous investments by the Chinese government in food safety regulation, the condition of food safety in China is still not ideal and requires substantial enhancements. Cost-effective, information-based strategies are essential for the effective management of food safety hazards. In this research, we established an extensive database of food enterprises with documented violations and carried out a randomized intervention trial to assess the effects of regulatory information interventions on the decrease of production violations in these enterprises. The findings reveal that interventions based on food safety regulatory information were instrumental in diminishing production violations among food enterprises and had spillover effects within a given geographic area. It is important to note that the impact of the intervention was delayed, with noticeable results on production violations becoming apparent 6 months post-intervention. Additionally, the degree of information communication and the degree of information concern can positively moderate the reduction of food enterprises’ production violation behavior by food safety regulatory information intervention.

Research on Carbon Emission Reduction Audit of Company A

This paper company A case study, the carbon audit status of case study, analysis of the comprehensive utilization of energy, solid and hazardous waste management, energy saving management and carbon emission reduction and industrial environment governance. According to the causes of various problems in carbon emission reduction environmental audit, the causes are analyzed. Then, in view of the many problems existing in the process, the optimization strategies are put forward from improving the implementation of environmental audit plan of carbon emission reduction, improving the disclosure of carbon emission reduction, and implementing the tracking and monitoring of environmental audit of carbon emission reduction. Finally, the conclusions and prospects are drawn on the environmental audit of carbon emission reduction under the low-carbon economic environment, in order to help China to achieve the low-carbon goals as soon as possible and achieve green and sustainable development.

Occupational Injuries and Health Status Among Rural Tribal Non-Traditional Fishing Communities in the Coastal Region of Tamil Nadu, India

ABSTRACT Objectives This study evaluated the occupational injuries and health hazards associated with fishing as an occupation among non-traditional rural tribal fishing communities in the coastal region of Tamil Nadu, India. Methods This cross-sectional study included a total of 170 individuals belonging to a fishing community, comprising both male (n = 82) and female (n = 88) participants. The demographic details including occupational history, lifestyle characteristics, socio-economic status, personal habits, and health status were assessed through the questionnaire survey. Results The fishing community has a low socioeconomic status and poor literacy, lifestyle, and personal habits. The mean age of the participants was 38.8 yrs (male 34.8; female 39.9 yrs). Only 10% reported usage of personal protective equipment (PPE), and the work duration varied from 8 to 24 hrs in a day. While male subjects reported smoking habits (12%) and alcohol consumption (23%), none of the females reported alcohol consumption and smoking habits. The major occupational injuries that occurred were due to catfish (72%) and oysters (48%). A large number of female subjects reported musculoskeletal pains. The body mass index of about 28% of fishermen was above the normal range. Abnormal blood sugar, blood pressure, and respiratory and neurological symptoms were the other major health complaints. The major environmental hazards reported were salinity, solar radiation, tides, and high wind. Conclusion Injuries from handling fish and oysters were observed to be the major occupational burden. Additonally, a high prevalence of musculoskeletal pain and chronic health illness was commonly observed among the fishers. Adequate training and awareness programs are required for effective management of occupational health hazards and health promotion.

Data-driven approach for Cu recovery from hazardous e-waste

The Cu recovery from e-waste is beneficial since it contributes the most economic value to electronic scraps (∼322,000 tons Cu available with PCB). Data Science and Artificial Intelligence (AI) tools, experimental data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS), and Response Surface Methodology (RSM) were adopted for the prediction of Cu recovery from e-waste. These models were developed using four variables (H2SO4, H2O2, Solid/Liquid ratio, and reaction time) and validated by validation experiments. The developed RSM-based model predicts the Cu recovery with an average error of ∼10.51%, whereas the ANFIS-based model predicts the Cu recovery with an error of ∼6.03%. Higher values of R2 (0.99), F (641.59), and a lower value of P (< 0.05) were observed in the ANOVA study indicating better suitability of the model. Based on findings from the comparison, the relevant data-driven ANFIS model is used for further analysis. The 3D interactive plots have been developed to find a suitable range of input parameters to improve the recovery of Cu from e-waste. The results and findings reported in this article will be valuable to Cu recovery, e-waste management, and hazardous waste management. The proposed ANFIS model is highly efficient for effective and accurate automation at the industrial scale. Environmental implicationScientific communities must pay attention to the challenges raised due to surplus e-waste. E-waste is reported to be the most dangerous anthropogenic material due to hazardous chemicals and toxic metals. This article explains how e-waste can be converted into economically beneficial products. Since Cu contributes the most economic value to e-waste, its recovery can minimize its hazardous effect and promote a circular economy. Modern data-driven tools are highly efficient for accurately predicting Cu recovery. In this article, RSM and ANFIS-based prediction models have been developed with high accuracy. It was observed that ANFIS is more efficient than RSM and better for the automation of copper recovery. The results and findings reported in this article will be valuable to Cu recovery, e-waste management, and hazardous management of e-waste. The proposed data-driven approach helps to minimize the load of electronic waste and reduces a significant proportion of hazardous effects of e-waste on the environment.

HAZARD ANALYSIS AND RISK ASSESSMENT FOR SPINNING YARN PRODUCTION PROCESS BY INTEGRATED FTA-FMEA APPROCH

The hazard analysis and management is vital in textile industry to avoid accidents and wasting resources caused by the failures in production systems. Risk analysis is also very significant to decrease possible hazards and to avoid possible damage in manpower &amp; production systems. In this study, an approach based on Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) is proposed to analyse the ring spinning yarn production process in a textile industry. First, the possible hazards in the production line, yarn production system, in an integrated company operating in the textile sector are analysed by FTA method. Then, FMEA is applied to ring spinning yarn production process in a textile industry to rank all possible risks corresponding to hazards in descending order with respect to both occupational health and safety. It is very important to remove all possible hazards in textile industry to decrease the number of risks related to occupational health and safety. Therefore, in total of 57 hazard root causes are determined in the yarn production department. Subsequently, the faults related to the hazard root causes are examined by FTA and then risk corresponding to these hazards are prioritized by FMEA. The results obtained from the proposed FTA-FMEA approach show that decision makers and engineers can easily decrease the number of hazards and risks with respect to both occupational health and safety in practice

Knowledge Of Ship’s Crew On Hazardous And Toxic Waste Handling Based On Application Of Government Regulation Np. 101 Year 2014 On Type 1000 Ship

Commercial ships that are engaged in shipping and have several types of ships, one of which is the type 1000 ship. The purpose of this study is the knowledge of ship crews on the handling of B3 waste on ships with an approach using government regulation number 101 of 2014.. The method used used quantitatively with direct observation and interviews. During the voyage, the ship produces hazardous and toxic waste (B3). The management of hazardous and toxic waste refers to Government Regulation No. 101 of 2014 concerning the management of hazardous and toxic waste (B3) which on board the ship during the sailing trip to the nearest port consisting of 76.9% B3 sorting/separation, 30% storage, 53.8% collection, 53.8% storage, transportation, collection and disposal 53.8%, level of understanding of regulations SOP 84.6%. Its nature is to damage the environment, endangering health, so every producer of B3 waste is due to the presence of a. activities that produce B3 waste are required to manage the B3 waste they produce. Knowledge of B3 on crew members regarding the definition of B3 is 69.2%, while B3 management is 46.2%. The results of this study found a new and different view, compared to previous research at PT. Holcim which was conducted on land, the results were as a substitute for fuel and raw materials. The results of this study used a hazardous waste management approach. Good knowledge will affect the management of b3 waste, so that it will reduce environmental pollution when the waste is in the port area. Due to the nature of the waste that is explosive like a TL lamp, it is reactive and easily ignites.