Hazard Management Research Articles

Inundation and evacuation of shoreline populations during landslide-triggered tsunamis: an integrated numerical and statistical hazard assessment

Abstract. The volcanic island of Stromboli (southern Tyrrhenian Sea, Italy) is renowned for its persistent, periodic, low-intensity explosive activity, whose spectacular manifestations attract tens of thousands of tourists every year. However, sporadic more intense major explosive and effusive eruptions and paroxysms pose serious threats to the island. In addition to direct hazards, granular slides of volcanic debris and pyroclastic avalanches, which can rapidly reach the sea and potentially generate tsunamis, are often associated with such unpredictable eruptive activity. Due to the very fast propagation of the tsunami around the island and the consequent short tsunami warning time (ranging from less than a minute to only a few minutes), mitigation efforts and evacuation from the Strombolian coast must be carefully planned. In this paper, we describe a new GIS-assisted procedure that allows us to combine the outputs of an ensemble of 156 pre-computed landslide-generated tsunami hazard scenarios (with variable landslide volume, position, and density), statistical exposure data (i.e. the number of inhabitants and tourists), and digital geographic information to obtain a quantitative (scenario-based) risk analysis. By means of the analysis of the road network and coastal morphology, we develop a model with routes and times to reach a safe area from every pixel in the inundated area and an appraisal of the time needed to escape versus the wave arrival time. This allows us to evaluate and quantify the effectiveness of potential risk mitigation by means of evacuation. The creation of an impact score linking the predicted inundation extent and the tsunami warning signals is intended, in the long term, to be used to predict the intensity of future tsunamis and to adapt evacuation plans accordingly. The model, here applied to Stromboli, is general and can be applied to other volcanic islands. Evacuating an island hosting several thousand tourists every summer with very little warning time underlines the absolute necessity for such mitigation efforts, aimed at informing hazard planners and managers and all other stakeholders.

Thermal Infrared Image Georeferencing using an Ensemble of Land Cover Predictions

Abstract. Precise georeferencing of remote sensing data is usually implemented in a post-processing fashion and is a crucial step for Earth observation applications such as change detection, natural hazard management, and ground target tracking. It is particularly important for small satellites intending to perform temperature monitoring and wildfire detection on a global scale wherein the precise location of fire is to be communicated. The cost-efficient navigating systems on board such satellites are often not capable of providing accurate geolocation information directly due to space and power limitations. Therefore, it is very important to have a globally applicable georeferencing refinement framework that is robust against illuminational and time-relevant scene changes. In this paper, we propose a georeferencing framework for thermal infrared images that consists of ensemble matching of deep learning-based land cover predictions to archival, well-georeferenced land cover maps. We verify the proposed framework on the georeferencing of single-band Landsat thermal imagery. Experimental results show the efficiency and practicality of the method with 72% of the test images geolocated within 1-pixel accuracy with no trajectory information available.

The hazard analysis of passenger-cargo ferries: a revised risk matrix model based on fuzzy best-worst method.

Improving hazards in maritime transport is essential to maintain the reliability and sustainability of the industry, ensure safety and security, and support global trade and economic growth. This paper is aimed at analyzing the hazards of passenger-cargo ferries (PCFs). The novelty of this paper is fourfold: (1) developing a revised risk matrix (RRM) model with considering the adaptability-based resilience of organization to assess PCFs' hazards, (2) identifying risk factors (RFs) in ferry navigation and developing adaptive strategies to mitigate hazards, (3) applying the fuzzy best-worst method (BWM) to determine the RFs' weight, and (4) employing the leading Taiwanese passenger-cargo ferry operator (the Taiwan-ferries case) as an empirical study to verify the proposed model. The empirical result can provide pragmatic information for ferry operators to improve the safety of their ferry navigations. Additionally, the proposed RRM model can provide a methodological reference for related research in hazard management.

Challenges in Hazardous Waste Management: A Case Study of Talang Gulo Landfill in Jambi City

The improper storage of Hazardous and Toxic Waste (HTW) at the Talang Gulo Landfill prompted a study to analyze the implementation of Hazardous and Toxic Waste Management (HTWM). The study used a qualitative case study approach involving interviews, observations, and document analysis. 10 informants were selected through purposive sampling. The findings revealed several issues including a lack of trained personnel, limited budget, inadequate Standard Operating Procedures (SOPs), insufficient storage facilities, non-compliance with Personal Protective Equipment (PPE) use, and poor supervision. These findings highlight the need for the development of SOPs, worker training, facility upgrades, and improved supervision to enhance HTWM at the Talang Gulo Landfill.

Bleaching Agents: A Review of Their Utilization and Management

Exposure to disinfectants, cleansers, and bleaching chemicals irritates the eyes, respiratory systems, and skin, triggering asthma and allergic rhinitis symptoms. Bleach, as the major constituent of cleansers, when used improperly or mixed with other indoor cleaning agents, produces harmful halogenated volatile organic compounds. This manuscript assesses the influence of excessive exposure to disinfectants, including bleaching agents, when used against infectious conditions related to SARS-COVID-19 and its management. The use and impact of different bleaching agents in cleansing and their associated problems have been analyzed and presented in this review. This analysis focuses on the conventional and post-pandemic approach towards bleaches. Usage of bleaching agents increased by a staggering 20.4% and 16.4% from January to March 2020 compared to the same period in 2018 and 2019. Mounting use of bleaching agents during the COVID-19 pandemic resulted in negative health effects like asthma, eye irritation, and skin allergies. An approximately 42% rise in poisoning cases, including a few deaths, has been associated with exposure to harmful chemicals involving bleaches during the recent pandemic. Bleaching agents are the primary sources of hazardous indoor pollutants; therefore, despite their importance in disinfection, their utility must be substantiated based on legal guidelines, disposal, and remedial measures. Thus, conducting future occupational exposure assessment studies for bleach hazard management is crucial.

Evaluation of the Antecedent Saturation and Rainfall Conditions on the Slope Failure Mechanism Triggered by Rainfalls

The stability analysis of rainfall-induced slope failures considers a number of factors including the characteristics of the rainfall, vegetation, geometry of the slope, unsaturated soil characteristics, infiltration capacity, and saturation degree variations. Amongst all these factors, this study aims to investigate the effects of the antecedent rainfall and saturation conditions. A numerical modeling study was conducted using finite difference code software on a representative slope geometry with two different soil types. Two scenarios were followed: The first involved the application of three different rainfall intensities for varying initial saturation levels between 40% and 60%, representing the antecedent saturation conditions. The second scenario involved modeling successive rainfalls for a typical initial saturation degree of 50%. The impact of antecedent rainfall was assessed by determining the time required for failure during the application of a main extreme rainfall after a preceding rainfall of varying durations. Consequently, a zone of susceptible time for failure was suggested for use as a criterion in hazard management, allowing for the tracking of rainfall and its duration through the proposed chart for potential failures. Once the anticipated critical rainfall intensities have been determined through a meteorological analysis, a risk assessment for a specific slope can be conducted using the proposed practical procedure. Accordingly, a control mechanism may be established to detect the potential for a natural hazard. Furthermore, the proposed procedure was applied to a case study, whose modeling insights were in harmony with the real conditions of the slope failure. Thus, this demonstrated the significance of the antecedent conditions in modeling landslides triggered by rainfalls.

Creating Sustainable Flood Maps Using Machine Learning and Free Remote Sensing Data in Unmapped Areas

This study leverages a Random Forest model to predict flood hazard in Arizona, New Mexico, Colorado, and Utah, focusing on enhancing sustainability in flood management. Utilizing the National Flood Hazard Layer (NFHL), an intricate flood map of Arizona was generated, with the Random Forest Classification algorithm assessing flood hazard for each grid cell. Weather variable predictions from TerraClimate were integrated with NFHL classifications and Digital Elevation Model (DEM) analyses, providing a comprehensive understanding of flood dynamics. The research highlights the model’s capability to predict flood hazard in areas lacking NFHL classifications, thereby supporting sustainable flood management by elucidating weather’s influence on flood hazard. This approach aligns with sustainable development goals by aiding in resilient infrastructure design and informed urban planning, reducing the impact of floods on communities. Despite recognizing constraints such as input data precision and the model’s potential limitations in capturing complex variable interactions, the methodology offers a robust framework for flood hazard evaluation in other regions. Integrating diverse data sources, this study presents a valuable tool for decision-makers, supporting sustainable practices, and enhancing the resilience of vulnerable regions against flood hazards. This integrated approach underscores the potential of advanced modeling techniques in promoting sustainability in environmental hazard management.

Analysis of Hazardous and Toxic Waste Management (B3) from the Perspective of Safety, Health, Productivity and Waste Minimization at PT X

The management of Hazardous and Toxic Waste (B3) must be carried out by waste producers. PT X as a producer of B3 waste in its production process uses palm oil raw materials and other auxiliary materials. Producers carry out management in accordance with applicable regulations. Waste management can be seen from the perspective of safety, health, productivity and waste minimization. The purpose of this study is to analyze the management of B3 Waste from the perspective of safety, health, productivity and minimization. Data was obtained from surveys and interviews. Analysis method used in statistics. The results of the study showed that 97% strongly agreed with safety, 93% health, 99% productivity and 96% waste initiation.

Legal Framework and Issues in Hazardous Waste Management

Background: Environmental protection is crucial for preventing pollution and maintaining balance. Specific background: Hazardous waste (B3) significantly contributes to pollution, especially when mismanaged. Knowledge gap: Despite existing laws like Law No. 32/2009 on Environmental Protection, enforcement remains a challenge. Aims: This study analyzes B3 waste management under Indonesian regulations and assesses local programs and infrastructure developments. Results: While regulations and programs are in place, such as B3 handling policies and a new waste processing plant, poor compliance hampers effectiveness. Novelty: The study highlights evolving local strategies for improving B3 management. Implications: Stronger enforcement and integrated solutions are key to reducing environmental risks and achieving sustainability. Highlights : Local strategies are evolving to improve B3 waste management. Compliance with environmental regulations remains a significant issue. Technological solutions like waste incineration offer promising improvements. Keywords: Environmental protection, hazardous waste, B3 management, regulatory enforcement, sustainability

The impact of regulatory workplace safety inspections on workers' compensation claim rates.

Studies on the impact of workplace safety inspections on work injuries have found mixed effectiveness. Most studies are from the United States, examining Occupational Health and Safety Administration (OSHA) regulatory inspections in manufacturing firms with more than 10 employees. This study examines whether regulatory inspections in Alberta, Canada, result in reductions in workers' compensation claims rates for inspected firms relative to comparable non-inspected firms. Firm and claim-level data from the Workers' Compensation Board of Alberta were linked with regulatory enforcement data from the Government of Alberta for construction, manufacturing, and transportation firms with at least one full-time employee for 37 consecutive months. A matched difference-in-differences study design was used to estimate changes in lost-time claim rates for work-related injuries and musculoskeletal diseases of inspected and comparable non-inspected firms between the year pre-inspection and 2 years, post-inspection, controlling for firm-level characteristics. Inspections were not effective in reducing firm-level claim rates, with the exception of transportation firms with more than one inspection experiencing a 28% decrease in their claim rate in the second year post-inspection, relative to the change in non-inspected firms. In construction, inspected firms experienced a 12% increase in their claim rate in the first year post-inspection. No effect was observed in the manufacturing sector. Regulatory workplace safety inspections in Alberta generally do not result in greater reductions in firm-level claim rates in the construction, manufacturing, and transportation sectors. Inspections alone may not be sufficient to induce compliance or hazard management changes that lead to reductions in firm-level injuries.

Aerial imagery for geological hazard management in Alpine catchments

Aerial imagery for geological hazard management in Alpine catchments

Coping with Sinkholes: A Systematic Literature Review

Sinkholes have frequently occurred around soluble rock formations, but they have been indirectly related to imprudent human practices, based on long-standing recognition. The aim of this study was to explore how to improve sinkhole hazard management to decrease the extent of related risks. The main methodology was a systematic literature review that identified and synthesized the relevant information. The proposed analytical framework served as the basis for review criteria, and the scope of literature was mainly restricted to relevant text data. Analytical categories and analytical units were both used in the text synthesis process. Sinkholes were traditionally treated as natural events; however, major stakeholders started to pay attention to them as human-induced events under climate change. These players extensively included international organizations, sinkhole-prone countries (e.g., Venezuela, China, Saudi Arabia, etc.), and sinkhole-resistant countries (e.g., United Arab Emirates, Kenya, Australia, etc.) in this study. A key theme in the literature was that these stakeholders would no longer deal with sinkholes as natural events but as human-induced events, based on potential advantages (i.e., managing manmade sinkholes and implementing emergency operation plans). Similarly, as addressing emergency prevention, public awareness, technological application, social challenges, education, and training, the key tenet of study would be further achieved in terms of managerial implications. The results of this study suggested that human activities would act as negative factors in sinkhole occurrence more directly than were indicated previously. Hence, the understanding of sinkhole hazard management would be quite deepened via social environment, while policy makers were to proactively manage the issue with the sincere cooperation of local residents.

The Environmental Law and Economics of Hazardous Waste Management Regulations

The Environmental Law and Economics of Hazardous Waste Management Regulations

ECONOMIC AND INTERNATIONAL LEGAL ASPECTS OF HAZARDOUS WASTE MANAGEMENT REGULATION

It is evident that the implementation of effective climate change mitigation and environmental protection policies is contingent upon the rational management of hazardous waste. Empirical evidence suggests that the legal regulation of such waste at the national level is inadequate. Consequently, there is a pressing need for enhanced international cooperation and the establishment of robust international legal frameworks to address this issue. The purpose of the article is to analyse the existing international agreements governing hazardous waste management, identify their advantages and disadvantages, and propose changes necessary to improve the management of this type of waste. This included analysing statistical data on hazardous waste management. For a better understanding of the situation, an analysis of international court decisions was also carried out, which helped to identify the depth of the problems in this area. Methodology. General theoretical methods were mainly used in the study. Analysis and synthesis, systematic interpretation, and theoretical generalisation helped to summarise international approaches to hazardous waste management. Results. The article examines the content of international treaties in the field of hazardous waste management and the practice of their implementation. Practical implications. Based on the doctrinal provisions and the norms of current international law, the author identifies the main range of problems existing in the field of hazardous waste management and suggests possible ways of their solution. Value / Originality. It is determined that an important step in improving the effectiveness of international treaties in the field of hazardous waste management is to strengthen control over their implementation, since in practice there is a systematic violation of them.

Use of Digital Technologies for the Conduct of Work in the Government System Based on the Demans of the Current Times

This article deals with the issues of ensuring the safety of the population in the residences of citizens. It is planned to implement an electronic platform that allows for quick collection and analysis of information on the technical and social condition of residential areas. These strategies focus on digital transformation in the national economy, industry, and society. In Uzbekistan, significant steps have been taken to implement modern information and communication technologies (ICT) in public administration, education, healthcare, and agriculture. One notable challenge addressed in this study is the management of carbon monoxide poisoning, fire hazards, and explosions during the heating season. The research highlights the limitations of manual data collection, including the risk of data loss, difficulty in locating information, and inefficiencies in processing critical safety data. The program processes data in less than a minute, facilitating more efficient emergency management and preventive measures. This system exemplifies the role of digital technology in enhancing public safety and optimizing government operations.

VOLCANBOX: A software platform for volcanic hazard assessment

Volcanic eruptions have an intrinsic multi-hazard nature, in which a variety of volcanic products (lava flows, fallout, lahars, and pyroclastic flows) and associated hazards (seismic shocks, landslides, tsunamis, or floods) may interact and impact sequentially. Volcanic hazard assessment relies on probabilistic approaches based on the past eruptive history, from which scientists identify eruptive scenarios and their expected recurrence. However, not enough attempts have yet been made to address volcanic hazard assessment in a systematic way, based on principles that may be equally applicable to different volcanoes and volcanic zones regardless of their particular nature. Hence, we present VOLCANBOX, a new multiplatform (GNU/Linux, MacOS, Windows) system designed to conduct long-and short-term volcanic hazard assessment and risk analysis in a systematic and rational manner, aimed at reducing volcanic risk by anticipating future eruptions. VOLCANBOX includes several sets of software tools designed to evaluate long and short-term volcanic hazards, to conduct vulnerability analysis, and to assist decision-makers during the management of a volcanic crisis. VOLCANBOX can be implemented before an emergency, in order to identify optimum mitigating actions and how these may have to be adapted as new information is obtained. VOLCANBOX is aimed at experts in volcanic hazard and risk assessment and management and is designed to facilitate the interaction and cooperation between scientists, policy makers and civil protection agencies to anticipate volcanic disasters in a timely manner, by quantifying volcanic hazards, understanding volcanic unrest, forecasting volcanic eruptions, and identifying the most probable scenarios in a simple and clear manner.

Isolation of ovatoxin-a from Ostreopsis cf. ovata cultures. A key step for hazard characterization and risk management of ovatoxins

Ostreopsis cf. ovata, a benthic/epiphytic marine dinoflagellate, is currently spreading in tropical, sub-tropical and temperate areas, causing periodic Harmful Algal Blooms (HABs). It produces a wide array of palytoxin-like compounds named ovatoxins (OVTXs), with OVTX-a generally the most abundant congener. Despite numerous cases of human poisonings and environmental damage associated with the presence of OVTXs and O. cf. ovata proliferations, a complete characterization of the toxicity of this class of molecules cannot be performed until Reference Material (RM) for individual congeners is available. This, in turn, requires the availability of sufficient amounts of toxin at a high purity grade. To achieve this goal, herein an analytical re-evaluation of critical-steps of OVTX-a isolation from O. cf. ovata cell pellets is reported. The overall procedure consists of four steps, namely an extraction, a Medium Pressure Liquid Chromatography (MPLC) separation, and two preparative High Performance Liquid Chromatography (HPLC) steps. Particular attention was paid to the extraction step to evaluate the repeatability in OVTX-a yields. For subsequent steps, loading sample preparation and chromatographic conditions were refined. As a result, a significant increase in recovery yields (from 12.5 to 20 ± 3%) and in purity grade (from 51% to 94%) of the isolated OVTX-a was achieved in comparison to previous studies. The improved procedure can easily be applied to isolate sufficient quantities of a good candidate RM for OVTX-a.

Improving ML-based landslide susceptibility using ensemble method for sample selection: a case study of Kangra district in Himachal Pradesh, India.

Developing effective strategies to predict areas susceptible to landslides and reducing risk is vital. This involves using ensemble methods to meet the precise prediction and addressing challenges like data limitation. Recent studies have highlighted the potential of using ensemble methods to enhance the prediction of landslide susceptibility maps (LSM). Ensemble methods present a sampling of landslides and non-landslide points from high and low susceptible areas, respectively. Extensive research has explored their application in machine learning processes, particularly in classification-related problems. This study delves into strategies of ensemble as a promising method in future landslide applications. The proposed method was tested considering Kangra district of Himachal Pradesh as study area where three datasets were prepared consisting of presence and absence points. Dataset 1 consisted of initial landslide and randomly generated non-landslide points. In dataset 2, additional landslide points obtained from the very high susceptibility of initial LSM were supplemented with initial landslide data, while the non-landslide points were generated randomly from the study area. Finally, dataset 3 was composed of the landslide points as in dataset 2, and the non-landslide points were obtained from the very low susceptible areas of initial LSM. These datasets are used with random forest (RF) and support vector machine (SVM), thereby preparing six landslide susceptibility maps. To analyze the applicability of the proposed method, we have used metrics such as AUC-ROC, precision, recall, F-score, accuracy and Mathew's correlation coefficient (MCC). The AUC for dataset 1 with SVM and RF is 0.89, which increased to 0.898 and 0.952 for datasets 2 and 3 with SVM and 0.937 and 0.954 with RF. Among all the methods, the precision and recall values were highest for dataset 3 with SVM as well as RF. Hence, based on several accuracy metrics, we conclude that when the landslides and non-landslides samples were sampled from very high and very low susceptible areas respectively, the LSM performed better than all the other methods. Sampling landslides from very high susceptible areas only (dataset 2) does not perform well thereby committing misclassification error. The study demonstrated that the landslide and non-landslide data were obtained from very high and very low susceptibility; the predictive capability of the LSM increased significantly. Thus, the results demonstrate the effectiveness of the proposed ensemble approach in providing precise delineation of landslide zones, facilitating informed decision-making for land and hazard management.

Evaluating Household Hazardous Waste Generation, Composition, and Health Risks in an Urban Municipality

This study aimed to assess the generation rate and composition of household hazardous waste (HHW) in Nakhon Si Thammarat Municipality, Thailand. A questionnaire survey was conducted to collect data on HHW generation and disposal practices from households in the municipality. Soil samples were collected and analyzed for heavy metals (cadmium, chromium, mercury, nickel, and lead) and PCBs contamination. The potential health risks from ingestion exposure associated with heavy metals and polychlorinated biphenyls (PCBs) contamination in the soil were evaluated. The result revealed that in 2023, the HHW generation rate was 11.95 kg/household/year, with the highest percentages occurring of electronic waste (17.40%), fluorescent lamps (16.98%), spray cans (12.38%), cleaning products (11.30%), and engine oil and lubricant oil products (9.87%). The majority of residents (92.90%) disposed of hazardous waste and general waste together in public waste containers. However, the health risk assessment indicated that the levels of heavy metals and PCBs in the soil were within the safe acceptable range for residents, with a total lifetime cancer risk from ingestion exposure of less than 1E-06 for both adults and children. The findings highlight the need for improved waste separation practices and the implementation of effective hazardous waste management strategies to minimize potential health risks and environmental impacts. This study serves as a basis for developing targeted interventions and policies to enhance household hazardous waste management in the municipalities and similar urban areas in Thailand. Doi: 10.28991/HEF-2024-05-03-011 Full Text: PDF

Circular economy efficiency in the context of waste management in the selected Central and Eastern European countries – evidence from DEA and fractional regression analysis

Sustainability and optimizing waste management efficiency through circular economy principles have become significant trends in recent research. This study aims to compare the circular economy efficiency within the waste management framework in selected Central and East European countries. To achieve this, the research employs Data Envelopment Analysis (DEA) and Fractional Regression Analysis, specifically using the Slack-Based Measurement model. This model measures efficiency by referencing the inefficient Decision-Making Units (DMUs) rather than the origin of the coordinate system. Key variables such as GDP per capita, GDP growth rate, and circular economy indicators were selected and analyzed using Eurostat data from 2010 to 2022. The findings reveal varying potentials for improving the efficiency of hazardous and non-hazardous waste management in the countries investigated. Additionally, differences in the mutual influence of selected variable indicators on waste efficiency are identified using Fractional Regression Analysis. These insights emphasize the pivotal role of waste management in advancing circular economy policies.