• Title/Summary/Keyword: potential hazardous

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Norflurazon causes developmental defects including cardiovascular abnormalities in early-stage zebrafish (Danio rerio)

  • An, Garam;Park, Hahyun;Hong, Taeyeon;Song, Gwonhwa;Lim, Whasun
    • Journal of Animal Reproduction and Biotechnology
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    • v.37 no.3
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    • pp.176-182
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    • 2022
  • Norflurazon is widely used on agricultural lands and has a high potential to pollute water sources. However, its effects on fish have not been fully elucidated. The purpose of our study was to determine whether norflurazon adversely affects the developmental stage of zebrafish, which are frequently used as a model system to evaluate the environmental impact of pollutants. Norflurazon interfered with the hatching of zebrafish embryos and induced several sublethal deformities including body length reduction, increased yolk sac volume, and enlargement of the pericardial region. We further examined the cardiotoxicity of norflurazon in the flk1:eGFP transgenic zebrafish line. The vascular network, mainly in the brain region, was significantly disrupted in norflurazon-exposed zebrafish. In addition, due to the failure of cardiac looping, norflurazon-exposed zebrafish had an abnormal cardiac structure. These developmental abnormalities were related to the apoptotic process triggered by norflurazon. Overall, the present study demonstrated the non-target toxicity of norflurazon by analyzing the hazardous effects of norflurazon on developing zebrafish.

Recent Progress on Adsorptive Removal of Cd(II), Hg(II), and Pb(II) Ions by Post-synthetically Modified Metal-organic Frameworks and Chemically Modified Activated Carbons

  • Rallapalli, Phani Brahma Somayajulu;Choi, Suk Soon;Ha, Jeong Hyub
    • Applied Chemistry for Engineering
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    • v.33 no.2
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    • pp.133-144
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    • 2022
  • Fast-paced industrial and agricultural development generates large quantities of hazardous heavy metals (HMs), which are extremely damaging to individuals and the environment. Research in both academia and industry has been spurred by the need for HMs to be removed from water bodies. Advanced materials are being developed to replace existing water purification technologies or to introduce cutting-edge solutions that solve challenges such as cost efficacy, easy production, diverse metal removal, and regenerability. Water treatment industries are increasingly interested in activated carbon because of its high adsorption capacity for HMs adsorption. Furthermore, because of its huge surface area, abundant functional groups on surface, and optimal pore diameter, the modified activated carbon has the potential to be used as an efficient adsorbent. Metal-organic frameworks (MOFs), a novel organic-inorganic hybrid porous materials, sparked an interest in the elimination of HMs via adsorption. This is due to the their highly porous nature, large surface area, abundance of exposed adsorptive sites, and post-synthetic modification (PSM) ability. This review introduces PSM methods for MOFs, chemical modification of activated carbons (ACs), and current advancements in the elimination of Pb2+, Hg2+, and Cd2+ ions from water using modified MOFs and ACs via adsorption.

Conceptual Design and Operation Results for SF6 Decomposition and Pollution Control System (SF6 분해 및 무해화 시스템의 개념 설계 및 운영 결과)

  • Joongwon, Lee;Miyeong, Kim;Jiho, Ahn;Younghwan, Byun
    • KEPCO Journal on Electric Power and Energy
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    • v.8 no.2
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    • pp.111-118
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    • 2022
  • SF6 is used as an insulating gas because of its excellent electrical insulation properties, non-toxicity, and non-inflammability. On the other hand, the global warming potential of SF6 is 23,900 times higher than that of CO2. The Korea electric power cooperation (KEPCO) is responsible for 80% of the domestic SF6 usage, and approximately 6,000 tons are currently charged in electrical and power facilities. KEPCO will gradually replace the insulating gas with SF6-free gas from 2023. SF6 decomposition facilities are required because more than 60 tons of SF6 will need to be disposed of annually from existing equipment. This study developed a novel decomposition and pollution control system that can process 60 tons of SF6 per year. This facility can decompose more than 97.7% of SF6, with the emissions of hazardous and toxic materials below the legal limit.

A Case Study on Re:Design Collaboration for Sustainable Fashion Industry Revitalization (지속가능한 패션산업활성화를 위한 리디자인 협업 사례분석)

  • Kim, Minji;Lee, Kyujin
    • Journal of Fashion Business
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    • v.26 no.4
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    • pp.136-153
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    • 2022
  • The fashion industry is considered hazardous and a threatened to the environment. Due the negative perception, the industry should focus on sustainability as a social role. Therefore, several redesign fashion collaborations mainly focusing on renewing abandoned resources are already in place. The research method was based on previous studies, and 3 characteristics were derived: Redesign collaboration between fashion companies, Redesign collaboration between fashion & heterogeneous industries, and Redesign collaboration between the fashion industry & non-profit organizations. Those 3 characteristics were reviewed using 4 criteria. First, to establish and maximize the sustainable brand image and to be the best examples in environmental management, the organization endeavors to collaborate with various industries, institutions, and designers. Second is the expansion of the customer network through the spread of value consumption. Third is the creation of new values through a resource circulation structure. This means that the resource circulation structure system helps the partners to minimize on wastage. Fourth is the spread of de-boundary lines and the possibility of brand growth. Through collaboration with other industries, the boundaries of materials used in the fashion industry started to blur, thus expanding the continuous brand growth potential. The study derived the characteristics of redesign collaboration by systematically analyzing the cases. Further, the study looks forward to analyzing the characteristics of the products processed by redesign fashion collaborations in future research.

The effects of algal-derived organic matters (AOMs) and chlorinated AOMs on the survival and behavior of zebrafish

  • Se-Hyun Oh;Jing Wang;Jung Rae Kim;Yunchul Cho
    • Membrane and Water Treatment
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    • v.14 no.3
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    • pp.141-146
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    • 2023
  • Algal organic matters (AOMs) are challenging to remove using traditional water treatment methods. Additionally, they are recognized as disinfection by product (DBP) precursors during the chlorination process. These compounds have the potential to seriously harm aquatic creatures. Despite the fact that AOMs and DBPs formed from algae can harm aquatic species by impairing their cognitive function and causing behavioral problems, only a few studies on the effects of AOMs and associated DBPs have been conducted. To assess the impact of extracellular organic materials (EOMs) produced by three different hazardous algal species and the chlorinated EOMs on zebrafish, this study used fish acute embryo toxicity (FET) and cognitive function tests. With rising EOM concentrations, the embryo's survival rate and mental capacity both declined. Of the three algal species, the embryo exposed to Microcystis aeruginosa EOM exhibited the lowest survival rate. On the other hand, the embryo exposed to EOMs following chlorination demonstrated a drop in CT values in both the survival rate and cognitive ability. These findings imply that EOMs and EOMs treated with chlorine may have detrimental effects on aquatic life. Therefore, an effective EOM management is needed in aquatic environment.

Design and Implementation of a Rule-based Risk Classification Algorithm for Risk-based Inspection (RBI) of Imported Goods (수입 화물의 위험 기반 검사(RBI)를 위한 규칙 기반 위험 분류 알고리즘의 설계 및 구현)

  • Cha Jooho;Heo Hoon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.3
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    • pp.129-136
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    • 2023
  • In this paper, we describe a rule-based risk classification algorithm to perform Risk-based Inspection (RBI) on imported goods at customs. The RBI system is a method to automatically select which cargos have to be inspected and manage potential risks in boarder. In this study, we designed a rule-based risk classification algorithm for RBI solutions and implemented them using the Svelte web application framework. The risk classification algorithm proposed in this paper uses different indicative risk factors such as HS code, country of origin, importer's reliability, trade relationships, and logistics routes to classify cargos into Green, Yellow, and Red channels. To achieve this, we assigned risk categories to each risk factor and randomly generated risk scores within a specific range for each risk category. This system is expected to contribute to the increased efficiency of customs operations and protect public safety by minimizing the risk of imported hazardous materials.

Virtual Reality Safety Training on Multiple Platforms

  • Bao, Quy Lan;Tran, Si Van-Tien;Nguyen, Truong Linh;Park, Chansik
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.1187-1193
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    • 2022
  • A construction site is a highly complex and constantly changing environment, where hazardous areas are difficult to detect if workers lack sufficient knowledge and awareness. Thus, frequent worker safety training is required. Numerous studies on using virtual reality (VR) for safety training were published. While they demonstrate the potential for improving the skills necessary to avoid accidents in the construction industry, they remain difficult to apply at actual construction sites. VR requires specialized hardware and software, limiting workers' access and restricting workers' participation in training sessions. As a result, this paper proposes multiple platforms for immersive virtual reality safety training (VRMP) based on Industry Foundation Classes (IFC) and web technologies such as immersive web (WebXR). The VRMP is compatible with mobile and desktop devices currently by workers and demonstrates scenario models familiar to workers. Also, it reduces development time by utilizing Building Information Models (BIM). Additionally, The VRMP collects data from workers in a virtual environment to assess each worker's safety level, assisting workers in effectively and comfortably gaining a better understanding and raising their awareness. This paper develops a case study based on the VRPM in order to assess its effectiveness.

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Adsorption of Azocarmine G dye on H2SO4-modified acacia sawdust

  • Celal Duran;Sengul Tugba Ozeken;Aslihan Yilmaz Camoglu;Duygu Ozdes
    • Membrane and Water Treatment
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    • v.15 no.1
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    • pp.41-50
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    • 2024
  • Presence of hazardous dyes in water cause considerable risks to the human health and environment due to their potential toxicity and ecological disruptions. Therefore, in the present research, to suggest an alternative method for the retention of toxic Azocarmine G (ACG) dye from aqueous media, natural and H2SO4-modified acacia sawdust were performed for the first time as low-cost and efficient adsorbents. Based on batch experiments, it was determined that the best conditions for the developed dye retention process were an initial pH of 2.0 and an equilibrium time of 240 min. Analysis of the data using both pseudo-first order and pseudo-second order kinetic models showed that the retention of ACG onto the adsorbents predominantly occurred through chemical adsorption. Langmuir, Freundlich, and Dubinin-Radushkevich isotherm models were employed to provide insights into the interaction between the adsorbate and adsorbent and the mechanism of the adsorption process. Maximum monolayer adsorption capacities of natural and H2SO4-modified acacia sawdust were determined as 28.01 and 64.90 mg g-1, respectively by Langmuir isotherm model. Results of the study clearly indicated that the modification of acacia sawdust with H2SO4 leads to a substantial increase in the adsorption performance of anionic dyes.

Enhanced alizarin removal from aqueous solutions using zinc Oxide/Nickel Oxide nano-composite

  • Basma E. Jasim;Ali J. A. Al-Sarray;Rasha M. Dadoosh
    • Analytical Science and Technology
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    • v.37 no.1
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    • pp.39-46
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    • 2024
  • Alizarin dye, a persistent and hazardous contaminant in aquatic environments, presents a pressing environmental concern. In the quest for efficient removal methods, adsorption has emerged as a versatile and sustainable approach. This study focuses on the development and application of Zinc Oxide/Nickel Oxide (ZnO/NiO) nano-composites as adsorbents for alizarin dye removal. These semiconducting metal oxide nano-composites exhibit synergistic properties, offering enhanced adsorption capabilities. Key parameters affecting alizarin removal, such as contact time, adsorbent dosage, pH, and temperature, were systematically investigated. Notably, the ZnO/NiO nano-composite demonstrated superior performance, with a maximum alizarin removal percentage of 76.9 % at pH 6. The adsorption process followed a monolayer pattern, as suggested by the Langmuir model. The pseudo-second-order kinetics model provided a good fit to the experimental data. Thermodynamic analysis indicated that the process is endothermic and thermodynamically favorable. These findings underscore the potential of ZnO/NiO nano-composites as effective and sustainable adsorbents for alizarin dye removal, with promising applications in wastewater treatment and environmental remediation.

The Hazardous Expressway Sections for Drowsy Driving Using Digital Tachograph in Truck (화물차 DTG 데이터를 활용한 고속도로 졸음운전 위험구간 분석)

  • CHO, Jongseok;LEE, Hyunsuk;LEE, Jaeyoung;KIM, Ducknyung
    • Journal of Korean Society of Transportation
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    • v.35 no.2
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    • pp.160-168
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    • 2017
  • In the past 10 years, the accidents caused by drowsy driving have occupied about 23% of all traffic accidents in Korea expressway network and this rate is the highest one among all accident causes. Unlike other types of accidents caused by speeding and distraction to the road, the accidents by drowsy driving should be managed differently because the drowsiness might not be controlled by human's will. To reduce the number of accidents caused by drowsy driving, researchers previously focused on the spot based analysis. However, what we actually need is a segment (link) and occurring time based analysis, rather than spot based analysis. Hence, this research performs initial effort by adapting link concept in terms of drowsy driving on highway. First of all, we analyze the accidents caused by drowsy in historical accident data along with their road environments. Then, links associate with driving time are analyzed using digital tachograph (DTG) data. To carry this out, negative binomial regression models, which are broadly used in the field, including highway safety manual, are used to define the relationship between the number of traffic accidents on expressway and drivers' behavior derived from DTG. From the results, empirical Bayes (EB) and potential for safety improvement (PSI) analysis are performed for potential risk segments of accident caused by drowsy driving on the future. As the result of traffic accidents caused by drowsy driving, the number of the traffic accidents increases with increase in annual average daily traffic (AADT), the proportion of trucks, the amount of DTG data, the average proportion of speeding over 20km/h, the average proportion of deceleration, and the average proportion of sudden lane-changing.