• Title/Summary/Keyword: environment change

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A study of 'Re-consultation' on Marine Environment Impact Assessment (해역이용협의 제도 상 '재협의'의 개선방안에 대한 고찰)

  • KIM, Hyejin;OH, Hyuntaik
    • Journal of Fisheries and Marine Sciences Education
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    • v.28 no.4
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    • pp.913-924
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    • 2016
  • Re-consultation on Marine Environment Impact Assessment (MEIA) says that business operators are then licensed back from the disposition authorities undergoing a consultation process to change business plans. Marine Environment Management Act has provisions(Article 94) with respect to a case where the scale of business, the period of business, reflects the basic plan, including a plan to change a variety of reasons. But increasingly diverse types of businesses and projects which are the subject of MEIA, As it appears that the vulnerability issues and the problem of the re-consultation. In this study conducted an analysis of the literature review and comment on the re-consultation report four years. In addition, it presents a check to the problem through concrete examples related to the re-consultation and proposes improvement measures.

A Study of CR-DuNN based on the LSTM and Du-CNN to Predict Infrared Target Feature and Classify Targets from the Clutters (LSTM 신경망과 Du-CNN을 융합한 적외선 방사특성 예측 및 표적과 클러터 구분을 위한 CR-DuNN 알고리듬 연구)

  • Lee, Ju-Young
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.1
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    • pp.153-158
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    • 2019
  • In this paper, we analyze the infrared feature for the small coast targets according to the surrounding environment for autonomous flight device equipped with an infrared imaging sensor and we propose Cross Duality of Neural Network (CR-DuNN) method which can classify the target and clutter in coastal environment. In coastal environment, there are various property according to diverse change of air temperature, sea temperature, deferent seasons. And small coast target have various infrared feature according to diverse change of environment. In this various environment, it is very important thing that we analyze and classify targets from the clutters to improve target detection accuracy. Thus, we propose infrared feature learning algorithm through LSTM neural network and also propose CR-DuNN algorithm that integrate LSTM prediction network with Du-CNN classification network to classify targets from the clutters.

A study on the cognition of Environmental Uncertainty between Pioneer brand and Follower brand (선발브랜드와 후발브랜드간의 환경 불확실성 지각에 관한 연구)

  • kim, Se-Hwan;kim, Dae-Sik
    • Journal of Industrial Convergence
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    • v.4 no.2
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    • pp.39-55
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    • 2006
  • Pioneer brand and follower brand show differences in their perception of the environmental uncertainty. Market pioneer brand companies think that the environment is relatively simple and doesn't change much, whereas follower bland companies think that the environment is complicated and changes a lot. For market pioneer brand companies, among dynamism on the environment lever, there was less potential for the environment and parts, and government restrictions compared to follower brand companies. Also the complexity of the environment level complicated compared to the follower brand companies in areas such as competition for consumers with rival companies, materials, resources of equipment and parts, government restrictions, and the amount of change of the market's preference of the product.

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Global environment change monitoring using the next generation satellite sensor, SGLI/GCOM-C

  • HONDA Yoshiaki
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.11-13
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    • 2005
  • The Third Assessment Report of the Intergovernmental Panel on Climate Change (IPCC) concluded that many collective observations gave a aspect of a global warming and other changes in the climate system. Future earth observation using satellite data should monitor global climate change, and should contribute to social benefits. Especially, human activities has given the big impacts to earth environment This is a very complex affair, and nature itself also impacts the clouds, namely the seasonal variations. JAXA (former NASDA) has the plan of the Global Change Observation Mission (GCOM) for monitoring of global environmental change. SGLI (Second Generation GLI) onboard GCOM-C (Climate) satellite, which is one of this mission, is an optical sensor from Near-UV to TIR. This sensor is the GLI follow-on sensor, which has the various new characteristics. Polarized/multi-directional channels and 250m resolution channels are the unique characteristics on this sensor. This sensor can be contributed to clarification of coastal change in sea surface. This paper shows the introduction of the unique aspects and characteristics of the next generation satellite sensor, SGLIIGCOM-C, and shows the preliminary research for this sensor.

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The Impact of Climate Change on Agriculture and Adaptation in Nepal

  • Pandey, Chandra Lal
    • Agribusiness and Information Management
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    • v.4 no.1
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    • pp.13-23
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    • 2012
  • Understanding climate change is not only complex but also extensive. Humanity has never embarked on such a huge challenge of trans-national scope: a problem that began in the past continues now and will be continuing for a long time in the future. Nepalese have also significantly felt the impact of global climate change. The scenarios of climate change indicate that the increased temperatures will cause snow-melt which will result in floods, droughts, and uneven weather patterns. The impact of such unexpected climate hazards and weather patterns have already been felt and will continue to be felt in Nepal. These climate change-induced hazards and risks particularly threaten the agriculture sector, which results in food insecurity and makes poor and vulnerable people face increasingly unanticipated impacts to their lives and wellbeing. This paper explores the climate vulnerability of the Nepalese in terms of their physical, social, economic and primarily agricultural losses due to the increasing impact of climate change. The paper argues the need for a timely adaptation of measures to maintain an environment suitable for agriculture and for the well-being of the population residing in the area.

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A Study on the Control of Apartment House Design Factors considering Energy, Environment and Economical Efficiency (에너지, 환경 및 경제성을 통합 고려한 공동주택 설계요소 제어에 관한 연구)

  • Choi, Doo-Sung;Do, Jin-Seok
    • KIEAE Journal
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    • v.12 no.6
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    • pp.29-38
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    • 2012
  • The current building energy efficiency rating certification regulation on apartment houses evaluates only the saving rate of energy consumed during operation, i.e. use, of a building, but doesn't consider the energy consumptions and environmental load($CO_2$) emissions occurring during the whole lifetime of a building. So this study calculated the energy consumptions and environmental load emissions occurring during the whole lifetime of a building, selected reference schemes and alternative items by design variables to present a design draft considering energy efficiency and environmental performance, and evaluated the total cost by combining and calculating its direct cost(material and heating cost) and indirect cost(environmental cost), for an existing apartment house as an evaluation object. As a result of analysis, the change of heating cost by alternative items of design variables showed a 4~8% change rate compared to the reference scheme, and the material cost of design variable 7 showed a maximum 4.4 times change rate in the alternative plan 6 compared to the reference scheme. The environmental cost showed a similar change rate to the material cost change rate in general, but showed a similar environmental cost change rate to the heating cost change rate in case of design variables 4-1, 4-2, 7.

The Potential Effects of Climate Change on Streamflow in Rivers Basin of Korea Using Rainfall Elasticity

  • Kim, Byung Sik;Hong, Seung Jin;Lee, Hyun Dong
    • Environmental Engineering Research
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    • v.18 no.1
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    • pp.9-20
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    • 2013
  • In this paper, the rainfall elasticity of streamflow was estimated to quantify the effects of climate change on 5 river basins. Rainfall elasticity denotes the sensitivity of annual streamflow for the variations of potential annual rainfall. This is a simple, useful method that evaluates how the balance of a water cycle on river basins changes due to long-term climate change and offers information to manage water resources and environment systems. The elasticity method was first used by Schaake in 1990 and is commonly used in the United States and Australia. A semi-distributed hydrological model (SLURP, semi-distributed land use-based runoff processes) was used to simulate the variations of area streamflow, and potential evapotranspiration. A nonparametric method was then used to estimate the rainfall elasticity on five river basins of Korea. In addition, the A2 (SRES IPCC AR4, Special Report on Emission Scenarios IPCC Fourth Assessment Report) climate change scenario and stochastic downscaling technique were used to create a high-resolution weather change scenario in river basins, and the effects of climate change on the rainfall elasticity of each basin were then analyzed.

Visualizing Spatial Information of Climate Change Impacts on Social Infrastructure using Text-Mining Method (텍스트마이닝 기법을 활용한 사회기반시설 기후변화 영향의 공간정보 표출)

  • Shin, Hana;Ryu, Jaena
    • Korean Journal of Remote Sensing
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    • v.33 no.5_3
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    • pp.773-786
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    • 2017
  • This study was to analyze data of climate change impacts on social infrastructure using text-mining methodology, and to visualize the spatial information by integrating those with regional data layers. First of all, the study identified that the following social infrastructure; power, oil and resource management, transport and urban, environment, and water supply infrastructures, were affected by five kinds of climate factors (heat wave, cold wave, heavy rain, heavy snow, strong wind). Climate change impacts on social infrastructure were then analyzed and visualized by regions. The analysis resulted that transport and urban infrastructures among all kinds of infrastructure were highly impacted by climate change, and the most severe factors of the climate impacts on social infrastructure were heavy rain and heavy snow. In addition, it found out that social infrastructure located in Seoul and Gangwon-do region were relatively largely affected by climate change. This study has significance that atypical data in media was used to analyze climate change impacts on social infrastructure and the results were translated into spatial information data to analyze and visualize the climate change impacts by regions.

A Survey to Improve the Green Building Certifications Responding to Climate Change: Focused on the External Environment of Housing (기후변화에 대응한 녹색건축인증기준 개선을 위한 조사연구: 공동주택 외부환경을 중심으로)

  • Kwon, Hyuck-Sam;Kim, Ji-Hyeon;Kim, Jung-Gon
    • Land and Housing Review
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    • v.4 no.4
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    • pp.435-447
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    • 2013
  • This study aims to propose basic data for improvements that can actively respond to climate change in the Green Building Certifications that came into effect in March 2013, including the analysis of evaluation criteria and applications. In response to climate change, Green Building Certifications in developed countries such as BREEAM(UK), LEED(USA), DGNB(Germany), and CASBEE(Japan), have been extended to the neighborhood unit or city levels, i.e., BREEAM Communities, LEED Neighborhood Development, DGNB Stadtquartiere, CASBEE Urban Development. On the other hand, for the Green Building Certifications in Korea, some criteria such as indoor environment and energy have been given more emphasis than others such as external environment(land use, traffic, ecological environment). In addition, results from the analysis of the evaluation scores on the external environment of 79 housing complexes show that the score on the indoor environment and energy determines the evaluation grade, whereas the score on the external environment is less weighted and has less impact. Therefore, the new evaluation system for the Green Building Certifications responding to climate change should be extended from building level to urban district levels.

Water and Salt Budgets for the Yellow Sea

  • Lee, Jae-Hak;An, Byoung-Woong;Bang, Inkweon;Hong, Gi-Hoon
    • Journal of the korean society of oceanography
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    • v.37 no.3
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    • pp.125-133
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    • 2002
  • Water and salt budgets in the Yellow Sea and Bohai are analyzed based on the historical data and CTD data collected recently using box models. The amounts of volume transport and of water exchange across the boundary between the Yellow and East China Seas are estimated to be 2,330-2,840 $\textrm{km}^3$/yr and 109-133 $\textrm{km}^3$/yr, respectively, from the one-layer box model. Corresponding water residence time is 5-6 years. In the Bohai, water residence time is twice as long as that in the Yellow Sea, suggesting that the Yellow Sea and Bohai cannot be considered as a single system in the view of water and salt budgets. The results indicate that water and salt budgets in the Yellow Sea depend almost only on the water exchange between the Yellow and East China Seas. The computation with the coupled two-layer model shows that water residence time is slightly decreased to 4-5 years for the Yellow Sea. In order to reduce uncertainties for the budgeting results the amount of the discharge from the Changjiang that enters into the Yellow Sea, the vertical advection and vertical mixing fluxes across the layer interface have to be quantified. The decreasing trend of the annual Yellow River outflow is likely to result that water residence time is much longer than the current state, especially for the Bohai. The completion of the Three Gorges dam on the Changjiang may be change the water and salt budgets in the Yellow Sea. It is expected that cutting back the discharge from the Changjiang by 10% through the dam would increase water residence time by about 10%.