• Title/Summary/Keyword: school climate

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Perspective of East Asian Reanalysis Data Production (동아시아 지역재분석자료 생산의 전망)

  • Park, Sang-Jong;Choi, Yong-Sang
    • Atmosphere
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    • v.21 no.2
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    • pp.173-183
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    • 2011
  • Production of reanalysis data is important since it contributes to develop all fields of atmospheric sciences and to profit national economy. The developed countries such as USA, EU, and Japan have manufactured the global reanalysis data since the 1990s, but their data present a lack of detailed regional climates. For those who need to analyze the regional climate in/around Korea, a high-resolution reanalysis data should essentially be made. This study reviewed the existing reanalysis data and the applications, and the available observations for the data production. We also investigated the opinions and needs of the potential data users in Korea. We suggest the specifications of the data to have the domain of 55-5N, 80-150E (which includes Mongolia and most Southeast Asian countries), the spatial resolution of 10-20 km, and the period of most recent 30 years. With the specifications and climate models operated in KMA, this study argues that production of the reanalysis data with functional climate information is feasible in both technical and economic aspects. Finally, for successful data production, the framework of the future reanalysis data project was suggested.

Army Future Experts' Prediction about Near-Future Climate X-event

  • Sang-Keun Cho;Ji-Min Lee;Eui-Chul Shin;Myung-Sook Hong;Jun-Chul Song;Sang-Hyuk Park
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.196-201
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    • 2023
  • The future is complex and unpredictable. In particular, it is unlikely to occur, but once it occurs, no one knows how it will affect our society if X-event, which has a tremendous impact, is created. This study was conducted only in the climate field to offset the ripple effect of this X-event, and was conducted through in-depth interviews with experts from the Korea Army Research Center for Future & Innovation and the Army College. As a result, it was possible to explore what factors would trigger X-event from their discourse and what X-event would be newly created by spreading them to other fields. Starting with this study, if we accumulate the discourse of experts in various fields such as population, science and technology, as well as climate, and other fields other than the Army, we can predict X-event and offset the threats that may arise.

Proposal for Specification of Counter-measurement in Frost-Heave System in Railway Underpass Box Structures in North Korea Considering Climate Condition (북한지역 기후조건을 고려한 철도횡단구조물의 동상방지방안 제시)

  • Kim, Mun-Su;Cho, Kook-Hwan
    • Journal of the Korean Society for Railway
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    • v.20 no.1
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    • pp.99-110
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    • 2017
  • As a part of several Eurasian initiatives, the Korean government is trying to reconnect railways through North Korea to the Asian continent. If South Korea could build a network using railway, it would be a chance to develop a robust economic environment and to motivate economic growth. In the railway reconnection project between North and South Korea, the most important part of the railway roadbed sector is repair or improvement, and then construction of a new line through North Korea. There are not many big differences in the geological conditions; however, climate condition varies greatly during winter. The most significant condition in the safety of railway operation is frost-heaving. However, since South Korea has a relatively mild climate condition compared with North Korea, design and construction specifications under severe weather conditions in winter have not been prepared. This study proposes a plan for revising the railway design standard for underpass structures through an analysis of international standards, leading to site construction to prevent frost-heave.

Numerical Simulation on the Effect of the Land Coverage Change on the Urban Heat Budget (토지피복 변화가 도시열수지에 미치는 영향에 관한 수치시뮬레이션)

  • Kim, Sang-Ok;Yeo, In-Ae;Ha, Kyung-Min;Yee, Jurng-Jae;Yoon, Seong-Hwan
    • 한국태양에너지학회:학술대회논문집
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    • 2009.04a
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    • pp.176-179
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    • 2009
  • In this study, Urban Climate Simulation was performed using 3-Dimensional Urban Canopy Model. The characteristics of urban thermal environment was analyzed by classifying land coverage and increasing natural land coverage ratio. The results are as follows. The characteristics of the land coverage on urban thermal environment formation can be summarized by the effects like higher temperature on the artificial coverage, and the contrary effects on the natural coverage. When the water coverage 100% was made up, maximum temperature was declined by $5.5^{\circ}C$, humidity by the 6.5g/kg, wind velocity by 0.6m/s, convective sensible heat by $400W/m^2$ and the evaporative latent heat was increased by $370W/m^2$ compared to when artificial coverage 100% was formed. These simulation results need to be constructed as DB which shows urban quantitative thermal characters by the urban physical structure. These can be quantitative base for suggesting combinations of the building and urban planning features at the point of the desirable urban thermal environment as well as analysing urban climate phenomenon.

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Predicting Harvest Maturity of the 'Fuji' Apple at the Gunwi Province of the South Korea using DTS Phenology Model (DTS (Days Transformed to Standard temperature) 생육 모델을 활용한 군위 지역의 '후지' 사과 성숙기 예측)

  • Choi, In-Tae;Shim, Kyo-Moon;Kim, Yong-Seok;Jung, Myung-Pyo;Yun, Kyung-Dahm;Kim, Soo-Hyung
    • Journal of Environmental Science International
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    • v.24 no.11
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    • pp.1547-1550
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    • 2015
  • Fuji apple variety introduced in Japan has excellent storage quality and good taste so it is most commonly cultivated in the Korean Peninsula. Accurate prediction of harvest maturity allows farmers to more efficiently manage their farm, such as working time, fruit storage, market shipment and labor distribution so it is very important. This study was carried out to predict the harvest maturity of 'Fuji' apple using DTS (Days Transformed to Standard temperature) model based on the Arrhenius law in the Gunwi province of the South Korea. Input data are daily average temperature and apple harvest maturity. Predicted the harvest maturity of Fuji apple after estimating the optimal parameters by using the Nelder-Mead method. The differences of observed and predicted harvest maturity day are approximately 1 to 4 days and the RMSE is 2.9.

High School Students' Preconception about the Causes and Consequences of Climate Change (기후변화의 원인과 결과에 대한 고등학생들의 선 개념 연구)

  • Han, Shin;Jeong, Jinwoo
    • Journal of Science Education
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    • v.38 no.2
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    • pp.430-442
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    • 2014
  • The purpose of this study is to investigate the Preconception about the causes and consequences of climate change. Participants were 196 High school students who live in Seoul and Gyeong-gi Province. And data was collected through questionnaire to confirm preconception about the causes and consequences of Climate Change. After confirming with students preconceptions, 10 people randomly selected and Semi-structured interview were conducted. The findings is students did not know exactly about Ozone depletion, global warming, the greenhouse effect factors and causal relationships. And we can confirm that the student's preconception is affecting.

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Can Agricultural Aid and Remittances Alleviate Macroeconomic Volatility in Response to Climate Change Shocks? (아프리카 국가들의 경제성장률 변동성에 기후변화, 송금 및 농업 원조가 미치는 영향 분석)

  • You, Soobin;Kim, Taeyoon
    • Environmental and Resource Economics Review
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    • v.25 no.4
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    • pp.471-494
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    • 2016
  • This study investigates the effect of remittance and agricultural aid inflows on GDP growth rate volatility in response to climate change shocks in twenty-eight African countries by using system generalized method of moments from 1996 to 2013 with three years grouped data. The climate change shocks are indicated by four variables; natural disasters, rainfall variability, fluctuation in temperature and the weighted anomaly standardized precipitation (WASP) index. Consequently, natural disasters and temperature variability have a significant effect on GDP volatility, while rainfall variability and WASP index have no adverse consequence on stabilization of the economy. On the other hand, in general, remittances and agricultural aid are helpful to stabilize the economy and especially remittances inflows can play a crucial role as insurance when natural disasters occur.

Temporal Variability of N2O Gas Concentration Collected in Tedlar Bag (테들러백에서 N2O농도의 시간적 변동성 연구)

  • Hong, Yoonjung;Kang, Seongmin;Cho, Changsang;Yun, Hyun-Ki;Jeon, Eui Chan
    • Journal of Climate Change Research
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    • v.9 no.1
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    • pp.59-67
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    • 2018
  • In this study, the $N_2O$, emitted from combustion facility, were analyzed by using simulated gas and field samples to find out how long samples can be stored in Tedlar bag. According to the results of the experiment using simulated gases (1 ppm, 5 ppm, 10 ppm) in Tedlar bag, After 144hr, $N_2O$ concentration of simulated gases changed that 1 ppm is 5.3%, 5 ppm is 12.8%, and 10ppm is 10.5%. The higher initial concentration of simulated gas was, the larger rate of $N_2O$ concentration was changed. In case of high concentration samples, it need to be careful when it was analyzed after 144 hr. Stability evaluation in Tedlar bag was carried out through field samples such as combustion facility of bituminous coal, B-C oil and LNG. The concentration rate of field samples, which is under 1 ppm of average initial concentration, was evaluated using statistical method. As a result, $N_2O$ concentrations were changed to field samples in the bag even when 96 hr had passed. And after sampling, it is necessary that sample analysis should be quickly as soon as possible.

A Study on IoT based Forensic Policy for Early Warning System of Plant & Animal as A Subsystem of National Disaster Response and Management (국가재난형 동·식물 조기경보시스템을 위한 IOT기반의 포렌식 정책 연구)

  • Chung, Ho-jin;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.295-298
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    • 2014
  • In recently, a climatic change(such as subtropical climate and frequent unusual high temperature) and the open-trade policies of agricultural & livestock products are increasing the outbreak risk of highly pathogenic avian influenza(HPAI) and foot and mouth disease(FMD), and accordingly the socio-economic damage and impacts are also increasing due to the cases such as damage from the last 5 times of FMD outbreak(3,800 billion won), from 10 years public control cost of Pine Wilt Disease (PWD)(238.3 billion won), and from the increased invasive pests of exotic plant like isoptera. Therefore, the establishment of new operation strategy of IoT(Internet of Things) based satellite early warning system(SEWS) for plants and animals as a subsystem of national disaster response and management system is being required, where the forensic technology & measures should be applied as a government policy to estimate the post compensation and to carry out the legal responsibility.

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SSP Climate Change Scenarios with 1km Resolution Over Korean Peninsula for Agricultural Uses (농업분야 활용을 위한 한반도 1km 격자형 SSP 기후변화 시나리오)

  • Jina Hur;Jae-Pil Cho;Sera Jo;Kyo-Moon Shim;Yong-Seok Kim;Min-Gu Kang;Chan-Sung Oh;Seung-Beom Seo;Eung-Sup Kim
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.26 no.1
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    • pp.1-30
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    • 2024
  • The international community adopts the SSP (Shared Socioeconomic Pathways) scenario as a new greenhouse gas emission pathway. As part of efforts to reflect these international trends and support for climate change adaptation measure in the agricultural sector, the National Institute of Agricultural Sciences (NAS) produced high-resolution (1 km) climate change scenarios for the Korean Peninsula based on SSP scenarios, certified as a "National Climate Change Standard Scenario" in 2022. This paper introduces SSP climate change scenario of the NAS and shows the results of the climate change projections. In order to produce future climate change scenarios, global climate data produced from 18 GCM models participating in CMIP6 were collected for the past (1985-2014) and future (2015-2100) periods, and were statistically downscaled for the Korean Peninsula using the digital climate maps with 1km resolution and the SQM method. In the end of the 21st century (2071-2100), the average annual maximum/minimum temperature of the Korean Peninsula is projected to increase by 2.6~6.1℃/2.5~6.3℃ and annual precipitation by 21.5~38.7% depending on scenarios. The increases in temperature and precipitation under the low-carbon scenario were smaller than those under high-carbon scenario. It is projected that the average wind speed and solar radiation over the analysis region will not change significantly in the end of the 21st century compared to the present. This data is expected to contribute to understanding future uncertainties due to climate change and contributing to rational decision-making for climate change adaptation.