• Title/Summary/Keyword: Bulky wastes

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Distribution Characteristics of Bottom Litter in Chinhae Bay, Korea

  • Kim Jong-Hwa;Kim Sam-Kon;Kim Jong-Kyu
    • Fisheries and Aquatic Sciences
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    • v.4 no.3
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    • pp.150-158
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    • 2001
  • A study on the amount, distribution and item of bottom litter on the sea-bed was conducted by the bottom trawl net at 5 sections in Chinhae Bay over a year. The number and weight of litter found per unit of swept area (1 hectare) in each section were estimated as the range of 8.76-80.63 pieces, 3.51-108.39kg, respectively. The seasonal variation of high (Aug., '97) and low season (Feb., '98) in quantity was small, and it was about 2 times as the range of 24.58- 52.61 pieces/ha between them. But the weight variation between high (Apr., '98) and low season (Aug., '97) was very large, about 30 times as the range of 4.06-119.64kg/ha. The largest and second composition on the weight of bottom litter in Chinhae Bay are $76\%$ in other-litter with compound and bulky materials, and $93\%$ in fishing gear, respectively. The relationship between quantity and weight of bottom litter was not occurred due to the variety of specific gravity. Of the fishing gear, fishing nets was portioned to be 2.571kg/ha in weight and $84.9\%$ in composition. So these results prove that fishing nets were discarded as the most part of fishing gear during fishing activity in the bay. The largest composition of the soiled state classified into 3 styles in overall bottom litter was $69\%$ in very soiled state, and the second one of $28\%$ in the soiled state. On the other hand, new state is very small and portioned in $3.0\%$ of all. Chinhae Bay was estimated to be about 10 times in quantity and about 36 times in weight of Tokyo Bay. Therefore, these suggest that Chinhae Bay is a very serious polluted estuary caused by the bottom litter such as heavy and bulky wastes, fishing gear.

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A Study on the Growth and Environmental Development for the Protection-nourishment of Fisheries Resources 2. Marine Litter on the Sea-bed of Chinhae Bay (어자원 보호육성을 위한 생육환경 개선에 관한 연구 II -진해만의 해저 폐기물 실태-)

  • 김삼곤
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.35 no.4
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    • pp.359-365
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    • 1999
  • This study deals with litter which has sunk and accumulated on the sea-bed of the Chinhae Bay obtained by using a beam trawler. The litter collected through the duration of survey (1997~1998) were distributed from 8.76~80.63 items/ha and 3.51~108.39 kg/ha, respectively, in quantities and weights. Especially bulky wastes(shell, tires, motorcycle and refrigerator) were composed of 76% of them, next metal and glasses, 29.5%. The seasonal variability of litters in the bay is large, as 62% in April, next August, 23%, in total weights.These discarded substances have the widespread distribution but varied in each sampled area. Therefore they exist in a significant pollutants, as threatening the fishing activities and near marine environment, and also potential damage to marine resources.

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Trends in Agricultural Waste Utilizatili-zation

  • Han, Youn-Woo
    • Proceedings of the Korean Society for Applied Microbiology Conference
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    • 1979.04a
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    • pp.113.1-113
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    • 1979
  • Each year, vast amount of agricultural crop residues are produced (about 60 percent of the total crop production), which have not been effectively utilized because they are bulky and lignocellulosic, thus having little fuel energy per unit volume. Using treated plant residues as animal feeds could result in an ultimate saving of fossil fuel energy and a more effective utilizat ion of products created by the photosynthetic process. Feeding the residues to animals would decrease the pollution potential, but these residues are difficult for even a ruminant animal to digest. If cellulosic wastes produced from cereal grain straw and wood could be digested, land now used for producing forage add grain cnuld be shifted to food crops for humans. During the past decade, considerable efforts were made to utilize crop residues. These utilization methods can be broadly grouped into for categories: (1) direct uses, (2) mechanical conversions, (3) chemical conversions and (4) biological conversions. Agricultural crop residues consist mainly of cellulose, hemicellulose, lignin, pectin, andother plant carbohydrates. The nature of the constituents of these residues can be best utilized as one of the five FS: Fuel, Fiber, Fertilizer, Feed and Food. Many processes have teen proposed and some are in industrial production stage. However, economics of the process depend on the location where availability of other competitive products are different.

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3D Model Construction and Evaluation Using Drone in Terms of Time Efficiency (시간효율 관점에서 드론을 이용한 3차원 모형 구축과 평가)

  • Son, Seung-Woo;Kim, Dong-Woo;Yoon, Jeong-Ho;Jeon, Hyung-Jin;Kang, Young-Eun;Yu, Jae-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.497-505
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    • 2018
  • In a situation where the amount of bulky waste needs to be quantified, a three-dimensional model of the wastes can be constructed using drones. This study constructed a drone-based 3D model with a range of flight parameters and a GCPs survey, analyzed the relationship between the accuracy and time required, and derived a suitable drone application technique to estimate the amount of waste in a short time. Images of waste were photographed using the drone and auto-matching was performed to produce a model using 3D coordinates. The accuracy of the 3D model was evaluated by RMSE calculations. An analysis of the time required and the characteristics of the top 15 models with high accuracy showed that the time required for Model 1, which had the highest accuracy with an RMSE of 0.08, was 954.87 min. The RMSE of the 10th 3D model, which required the shortest time (98.27 min), was 0.15, which is not significantly different from that of the model with the highest accuracy. The most efficient flight parameters were a high overlapping ratio at a flight altitude of 150 m (60-70% overlap and 30-40% sidelap) and the minimum number of GCPs required for image matching was 10.