• Title/Summary/Keyword: Net-Recovery

Search Result 171, Processing Time 0.03 seconds

Laser beam decontamination of metallic surfaces with a pulsed (150 W) Nd: YAG laser

  • Anne-Maria Reinecke;Margret Acker;Steffen Taut;Marion Herrmann;Wolfgang Lippmann;Antonio Hurtado
    • Nuclear Engineering and Technology
    • /
    • v.55 no.11
    • /
    • pp.4159-4166
    • /
    • 2023
  • Laser decontamination of radioactive surfaces is an innovative technology. Our contribution to improving this technology includes studies on laser beam decontamination with a pulsed laser of an average power of 150 W, equipped with a hand guided working head. Our investigations are focused on metallic surfaces typical in nuclear power plants, such as stainless steel, bright and rusted mild steel, galvanized steel, and painted steel. As typical nuclides of contaminated surfaces we chose Co-60 and Cs-137, the most frequently occurring nuclides in many nuclear plant components; Sr-85 as a representative of Sr-90, the potentially most harmful fission nuclide; and Am-241 as a representative of the minor alpha-radiation emitting actinides. Here, we present our results of decontamination and recovery ratios. Decontamination ratios of 90-100% were achieved on different surfaces.

Qualities and Early Growth Responses of Paprika Seedlings Grown in High and Low Temperatures (고온 및 저온에서 육묘된 파프리카 묘의 소질과 정식 후 초기 생육 반응)

  • Cho, Yun-Hee;Kim, Chi-Seon;Kim, Jeong-Man;Ku, Yang Gyu;Kim, Ho Cheol
    • Horticultural Science & Technology
    • /
    • v.34 no.5
    • /
    • pp.719-726
    • /
    • 2016
  • The effect of high and low temperatures on seedling quality while raising of paprika (Capsicum annuum L.) seedlings, and their early development after planting was investigated. The control raising seedling temperature (RST) was $23^{\circ}C$; high temperature, $31^{\circ}C$; and low temperature, $15^{\circ}C$ throughout the raising seedling period. At $15^{\circ}C$ and $30^{\circ}C$, plant height, stem diameter, fresh weight, dry weight, number of leaves, and seedling leaf area were significantly lower than those at $23^{\circ}C$. At 4 weeks after planting, seedling's growth characteristics showed a similar pattern. Compared to $23^{\circ}C$, seedlings raised at $15^{\circ}C$ and $30^{\circ}C$ had an increased dry weight and leaf area per unit time after planting than during the seedling raising period. At 4 weeks after planting, crop growth rate and leaf area index were unaffected by RST, and relative growth rate and net assimilation rate at RSTs of $15^{\circ}C$ and $31^{\circ}C$ were higher than those those at RST of $23^{\circ}C$. At an RST of $15^{\circ}C$, growth speed and net assimilation rates were higher after planting than before planting, according to increased photosynthetic rate. Thus, high and low temperatures during the seedling raising period significantly reduced seedling growth and plant growth after planting. After planting, seedlings raised at $15^{\circ}C$ recovered more quickly than did those raised at $31^{\circ}C$.

Development of Natural Disaster Damage Investigation System using High Resolution Spatial Images (고해상도 공간영상을 이용한 자연재해 피해조사시스템 설계 및 구현)

  • Kim, Tae-Hoon;Kim, Kye-Hyun;Nam, Gi-Beom;Shim, Jae-Hyun;Choi, Woo-Jung;Cho, Myung-Hum
    • Journal of Korea Spatial Information System Society
    • /
    • v.12 no.1
    • /
    • pp.57-65
    • /
    • 2010
  • In this study, disaster damage investigation system was developed using high resolution satellite images and GIS technique to afford effective damage investigation system for widely disaster damaged area. Study area was selected in Bonghwa, Gyungsangbukdo where high magnitude of damages from torrential rain has occurred at July in 2008. GIS DB was built using 1:5,000 topographic map, cadastral map, satellite image and aerial photo to apply for investigation algorithm. Disaster damage investigation system was developed using VB NET languages, ArcObject component and MS-SQL DBMS for effective management of damage informations. The system can finding damaged area comparing pre- and post-disaster images and drawing damaged area according to the damage item unit. Extracted object was saved in Shape file format and overlayed with background GIS DB for obtaining detail information of damaged area. Disaster damage investigation system using high resolution spatial images can extract damage information rapidly and highly reliably for widely disaster areas. This system can be expected to highly contributing to enhance the disaster prevention capabilities in national level field investigation supporting and establishing recovery plan etc. This system can be utilized at the plan of disaster prevention through digital damage information and linked in national disaster information management system. Further studies are needed to better improvement in system and cover for the linkage of damage information with digital disaster registry.

The Effectiveness of the Dispersant Use during the "Deepwater Horizon" Incident -REVIEW of the Proceedings from 2011 International Oil Spill Conference- (미국 멕시코만 기름유출사고에서 본 유처리제 사용의 효용성 고찰)

  • Cho, Hyun-Jin;Ha, Chang-Woo
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.18 no.1
    • /
    • pp.61-65
    • /
    • 2012
  • Once oil has spilled, oil spill responders use a variety of countermeasures to reduce the adverse effects of spilled oil on the environment. Mechanical methods of containment and recovery are preferred as the first response when the use of other methods fail or are ineffective. In these cases, the application of oil dispersants shall be use only as a last resort. While effectiveness of dispersants in removing oil form the sea surface is proven, the use of dispersants is controlled in almost all countries due to the toxicity of their active agents and the dispersed oil on the marine environment. However, according to reports, after dispersant application, no significant toxicity to fish or shrimp was observed in the field-collected samples. Moreover, the results also indicate that dispersant-oil mixtures are generally no more toxic to the aquatic test species than oil alone. During the Deepwater Horizon Incident, dispersants were applied to floating oil and injected into the oil plume at depth. These decisions were carefully considered by state and federal agencies, as well as BP, to prevent as much oil as possible from reaching sensitive shoreline habitats. Net Environmental Benefit Analysis for dispersant use assumed that dispersants appear to prevent long-term contamination resulting absence of oil in the substrate and will benefit marine wildlife by decreasing the risk of significant contamination to feathers or fur. Further study to use dispersants with scientific baseline is needed for our maritime environment which consistently threaten huge oil spill incidents occurrence.

Development of CO2 Emission Factor for Wood Chip Fuel and Reduction Effects (목질계 바이오매스 중 대체연료 우드칩의 온실가스(CO2) 배출계수 개발 및 저감 효과)

  • Lee, Seul-Ki;Kim, Seung-Jin;Cho, Chang-Sang;Jeon, Eui-Chan
    • Journal of Climate Change Research
    • /
    • v.3 no.3
    • /
    • pp.211-224
    • /
    • 2012
  • Technology for energy recovery from waste can reduce the greenhouse gas emissions. So recently, there are several companies using RDF, RPF, WCF instead of using only coal fuel and it's part of the fuel on the increase. In this study, we developed Wood chip fuel $CO_2$ emission factor through fuel analysis. It's moisture content is 23%, received net calorific value is 2,845 kcal/kg, and received basis carbon is 34%. The result of emission factor is $105ton\;CO_2/TJ$, it's 5.9% lower than 2006 IPCC guideline default factor $112ton\;CO_2/TJ$. The gross GHG(Greenhouse gases) emissions of plant A is $178,767ton\;CO_2 eq./yr$, and Net GHG emissions is $40,359ton\;CO_2 eq./yr$. Therefore, the reduction of GHG emissions is $138,408ton\;CO_2/yr$ through using WCF, and I accounts for 77% of all GHG emissions.

A Study on Tourism Behavior in the New normal Era Using Big Data (빅데이터를 활용한 뉴노멀(New normal)시대의 관광행태 변화에 관한 연구)

  • Kyoung-mi Yoo;Jong-cheon Kang;Youn-hee Choi
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.3
    • /
    • pp.167-181
    • /
    • 2023
  • This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

Detection of Wildfire Burned Areas in California Using Deep Learning and Landsat 8 Images (딥러닝과 Landsat 8 영상을 이용한 캘리포니아 산불 피해지 탐지)

  • Youngmin Seo;Youjeong Youn;Seoyeon Kim;Jonggu Kang;Yemin Jeong;Soyeon Choi;Yungyo Im;Yangwon Lee
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.6_1
    • /
    • pp.1413-1425
    • /
    • 2023
  • The increasing frequency of wildfires due to climate change is causing extreme loss of life and property. They cause loss of vegetation and affect ecosystem changes depending on their intensity and occurrence. Ecosystem changes, in turn, affect wildfire occurrence, causing secondary damage. Thus, accurate estimation of the areas affected by wildfires is fundamental. Satellite remote sensing is used for forest fire detection because it can rapidly acquire topographic and meteorological information about the affected area after forest fires. In addition, deep learning algorithms such as convolutional neural networks (CNN) and transformer models show high performance for more accurate monitoring of fire-burnt regions. To date, the application of deep learning models has been limited, and there is a scarcity of reports providing quantitative performance evaluations for practical field utilization. Hence, this study emphasizes a comparative analysis, exploring performance enhancements achieved through both model selection and data design. This study examined deep learning models for detecting wildfire-damaged areas using Landsat 8 satellite images in California. Also, we conducted a comprehensive comparison and analysis of the detection performance of multiple models, such as U-Net and High-Resolution Network-Object Contextual Representation (HRNet-OCR). Wildfire-related spectral indices such as normalized difference vegetation index (NDVI) and normalized burn ratio (NBR) were used as input channels for the deep learning models to reflect the degree of vegetation cover and surface moisture content. As a result, the mean intersection over union (mIoU) was 0.831 for U-Net and 0.848 for HRNet-OCR, showing high segmentation performance. The inclusion of spectral indices alongside the base wavelength bands resulted in increased metric values for all combinations, affirming that the augmentation of input data with spectral indices contributes to the refinement of pixels. This study can be applied to other satellite images to build a recovery strategy for fire-burnt areas.

Effect of SCB Liquid Manure Application in Pear Orchard Managed by Cover Crop System on Tree Growth, Potential Nutrient Recovery and Soil Physicochemical Properties (녹비작물 재배 시 SCB 액비 혼용이 배나무 생육 및 양분 환원 가능량, 토양 물리화학성에 미치는 영향)

  • Lee, Seong-Eun;Park, Jin-Myeon;Choi, Dong-Geun
    • Korean Journal of Soil Science and Fertilizer
    • /
    • v.45 no.5
    • /
    • pp.779-786
    • /
    • 2012
  • Many farmers have been seeking alternatives to chemical fertilizer for successful organic fruit production. This experiment was carried out to investigate the replaceability of chemical fertilizer by cover crop and slurry composting biofiltration (SCB) liquid manure (LM) application in pear orchard. Three treatments were contained in this experiment; cover crop only and cover crop + LM treatment, and control (chemical fertilizer application). Dry weight and mineral contents of gramineous cover crops were significantly increased in LM-combined treatments than that of leguminous species. Bulk density of soil was decreased in rye + LM and hairy vetch + LM treatments, compared with each cover crop treatment. Soil pH was lowest in fertilizer treatment and soil nitrate content became similar between treatments after rainy season. Available soil phosphate was lower in cover crop and cover crop + LM treatmemts than control, but exchangeable Mg was higher. The mineral content and net assimilation rate of leaves showed no difference between the treatments. As a result, it is suggested that the application of SCB liquid manure in pear orchard managed by cover crops is desirable to maintain the productivity by improving soil physical properties and potential nutrient recovery.

A Study on the Development of Sweeping Arm System for Oil Recovery by Small Vessel (소형 선박을 이용한 기름방제용 스위핑 암 시스템 개발에 관한 연구)

  • Han, Won-Heui
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.19 no.2
    • /
    • pp.219-224
    • /
    • 2013
  • In the case of occurring marine oil pollution, it is the most effective way that to prepare all the necessary response resources in advance and to respond to incidents, but there are limits in reality. Therefore, may be an important alternative ways to use a fishing vessel registered in the affected area by massive marine oil pollution efficiently. In the United States and other developed countries, it is can be found that temporary response program by local fishing vessels(VOO program) has been developed and operated. This study was examined for sweeping arm system suitable for domestic small fishing vessels. The selected small vessel was as the model of Coastal gill-net and compound fishing vessel with classes of 2.5~3.5tons, length 8~9m, breath 2.5~2.8m, horsepower 200~250 HP and FRP materials. The developed equipment was designed that can be easily mounted on the model ship and portable structure. For increasing the field practicality, the weight of each part was composed less than 10kg for easy assembly and disassembly.

Verification of Numerical Technique for Hydraulic Fracturing Stimulation - by Comparison with Analytical Solutions - (수압파쇄 설계를 위한 수치해석기법의 증명 -해석식과의 비교를 중심으로 -)

  • Sim, Young-Jong
    • Journal of the Korean GEO-environmental Society
    • /
    • v.10 no.4
    • /
    • pp.65-71
    • /
    • 2009
  • Hydraulic fracturing technology has been widely applied in the industry for the recovery of the natural resources such as gas, oil and geothermal heat from hot dry rock. During hydraulic fracturing stimulation, multiple cracks are created resulting in mechanical interaction between cracks. Such an interaction influences obtaining hydraulic fracturing key parameters (crack opening, length, and borehole net pressure). The boundary collocation method (BCM) has been proved to be very effective in considering mechanical interaction. However, for better confidence, it needs to be verified by comparison with analytical solutions such as stress intensity factors. In this paper, three cases, single fracture in remote uniaxial tension, single fracture in remote shear stress field and two arbitrary segments in an infinite plane loaded at infinity are considered. As a result, the BCM is proved to be valid technique to consider mechanical interaction between cracks and can be used to estimate the hydraulic fracturing parameters such as opening of the fracture, and so on.

  • PDF