• 제목/요약/키워드: tank lorry driver

검색결과 3건 처리시간 0.017초

염화메틸렌 중독에 의한 사망 1례 (A Fatal Case of Methylene Chloride Poisoning)

  • 정경숙;임현술
    • 대한임상독성학회지
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    • 제7권1호
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    • pp.41-43
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    • 2009
  • A 52-year-old man was found dead in the driver's seat of his tank lorry. The tank lorry was used to transport industrial wastewater to a disposal plant; the material was transferred into a storage tank with the help of compressed air. The wastewater contained methylene chloride and 2-chloropyridine. No respiratory protective equipment was used while working under these conditions. The autopsy report showed extensive edema and congestion of the brain, lung, and intraperitoneal organs. The concentrations of methylene chloride in lung and brain were reported at 398 and 67 mg/kg, respectively.

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Study on the Short Term Exposure Level (STEL) of the Benzene for the Tank Lorry Truck Drivers during Loading Process

  • Park Doo Yong
    • International Journal of Safety
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    • 제3권1호
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    • pp.27-31
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    • 2004
  • Some of the petroleum products contain benzene which is well known as a confirmed human carcinogen. For example, gasoline products contain benzene ranging up to several percents by weight. High exposures to the benzene and other organic solvents would be likely to occur during intermittent tasks and or processes rather than continuous jobs such as sampling, repair, inspection, and loading/unloading jobs. The work time for these jobs is various. However, most of work time is very short and the representative time interval is 15 minutes. Thus, it is preferable to do exposure assessment for 15 minute time weighted average which is known as a short time exposure level(STEL) by ACGIH rather than for 8-hours TWA. It is particularly significant to the exposure monitoring for benzene since it has been known that the exposure rate plays an important role to provoke the leukemia. Due to the large variations, a number of processes/tasks, the traditional sampling technique for organic solvents with the use of the charcoal and sampling pumps is not appropriate. Limited number of samples can be obtained due to the shortage of sampling pumps. Passive samplers can eliminate these limitations. However, low sampling rates resulted in collection of small amount of the target analysts in the passive samplers. This is originated the nature of passive samplers. Field applications were made with use of passive samplers to compare with the charcoal tube methods for 15 minutes. Gasoline loading processes to the tank lorry trucks at the loading stations in the petroleum products storage area. Good agreements between the results of passive samplers and those of the charcoal tubes were achieved. However, it was found that special cautions were necessary during the analysis at very low concentration levels.

하수처리시설의 슬러지 수거 일정계획 수립 및 수거차량 경로결정 (The Sludge Collection Scheduling and Vehicle Routing Strategies)

  • 김민제;노의수;허은정;최경현
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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    • pp.1170-1177
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    • 2006
  • We apply VRP(Vehicle Routing Problem) to sludge collection system in this study. Sewage stores of villages are located in each village around a multipurpose dam. Sludge which is produced in sewage store of village is transported from the sewage store of village to the sewage treatment plants by the special purpose vehicle such as the tank lorry. In this paper, we propose sludge collection strategies which allocate each sewage store of village to sewage treatment plants and decide the schedule of sludge collection in order to collect sludge efficiently. The strategies aim to decrease transportation cost with deciding proposed vehicle routing and scheduling the sludge collection. When we decide route of vehicles, we consider the collection time in sewage store of village, distance between sewage store of villages and vehicle information as average velocity of vehicle, operation time of vehicle driver. We also develop the SCMS(Sludge Collection Management System) based on windows system with real data which is used in certain circumstance. And we experiment to figure out vehicle route and transportation cost throughout changing input data.

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