• 제목/요약/키워드: climate monitoring

검색결과 687건 처리시간 0.02초

기후변화에 따른 서낙동강 시험유역에서의 수질영향 분석 (Effect of Climate Change on Water Quality in Seonakdong River Experimental Catchment)

  • 강지윤;김정민;김영도;강부식
    • 상하수도학회지
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    • 제27권2호
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    • pp.197-206
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    • 2013
  • Recently, climate change causes climatic anomaly such as global warming, the typhoon and severe rain storm etc. and it brings damage frequently. Climate change and global warming are prevalent all over the world in this century and many researchers including hydrologists have studied on the climate change. In this study, Seonakdong river watershed in the Nakdong river basin was selected as a study area. Real-time monitoring system was used to draw the rating curves, which has 0.78 to 0.96 of $R^2$. To predict runoff change in Seonakdong river watershed caused by climate change, the change in hydrologic runoff were predicted using the watershed model, SWAT. As a result, the runoff from the Seonakdong river watershed was increased by up to 45 % in summer. Because of the non-point sources from the farmland and the urban area, the water quality will be affected by the climate change. In this study, the operating plan of the water gates in Seonakdong river will be suggested by considering the characteristics of the watershed runoff due to the climate change. The optimal watergate opening plan will solve the water pollution problems in the reservoir-like river.

기후변화 시나리오 자료의 불확실성 고려를 위한 대표 GCM 선정기법 개발 (Development of Representative GCMs Selection Technique for Uncertainty in Climate Change Scenario)

  • 정임국;음형일;이은정;박지훈;조재필
    • 한국농공학회논문집
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    • 제60권5호
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    • pp.149-162
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    • 2018
  • It is necessary to select the appropriate global climate model (GCM) to take into account the impacts of climate change on integrated water management. The objective of this study was to develop the selection technique of representative GCMs for uncertainty in climate change scenario. The selection technique which set priorities of GCMs consisted of two steps. First step was evaluating original GCMs by comparing with grid-based observational data for the past period. Second step was evaluating whether the statistical downscaled data reflect characteristics for the historical period. Spatial Disaggregation Quantile Delta Mapping (SDQDM), one of the statistical downscaling methods, was used for the downscaled data. The way of evaluating was using explanatory power, the stepwise ratio of the entire GCMs by Expert Team on Climate Change Detection and Indices (ETCCDI) basis. We used 26 GCMs based on CMIP5 data. The Representative Concentration Pathways (RCP) 4.5 and 8.5 scenarios were selected for this study. The period for evaluating reproducibility of historical period was 30 years from 1976 to 2005. Precipitation, maximum temperature, and minimum temperature were used as collected climate variables. As a result, we suggested representative 13 GCMs among 26 GCMs by using the selection technique developed in this research. Furthermore, this result can be utilized as a basic data for integrated water management.

해양설비용 정밀 모니터링 센서의 개발 및 특성 분석 (The Development and Characteristics Analysis of High Precision Monitoring Sensor for the Marine Installation)

  • 조정환;고성원
    • 조명전기설비학회논문지
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    • 제27권10호
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    • pp.101-106
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    • 2013
  • This paper proposes the new high precision monitoring sensor for the Marine Installation. Among variety of sensor network systems, wireless information transmission through the marine is one of the enabling technologies for the development of future marine-observation systems and sensor networks. Applications of marine monitoring range from oil industry to aquaculture, and include instrument monitoring, pollution control, climate recording, prediction of natural disturbances. For these marine applications to be available, however, the provision of precise location information using monitoring sensor is essential. In this paper, the dynamic characteristics for obtaining the location information of monitoring sensor is analyzed. The theoretical and experimental studies have been carried out. The presented results from the above investigation show considerably excellent performance for the Monitoring for the Marine Installation.

학습자 활동 중심 기후변화 교육 프로그램 개발 (Development of the Student Activity-Centered Education Programme on Climate Change)

  • 최혜숙;김용표;조경숙;여성희;박기영;배미숙;이미형;장미화
    • 한국기후변화학회지
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    • 제2권3호
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    • pp.161-174
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    • 2011
  • 본 연구는 기후변화 교육을 위한 초등학생용 교육 프로그램을 학습자 활동 중심으로 개발하는데 목적이 있다. 총 10개의 기후변화 교육 프로그램을 개발하였다. 프로그램 10개의 주제는 '날씨 측정', '계절의 변화', '과거의 기후 측정', '기후와 생물', '기후와 인간생활', '기후변화의 원인과 현상', '기후변화의 영향', '기후변화 대응'이다. 각 프로그램의 학습 단계는 도입 단계, 구체적 체험 단계, 반성적 관찰 단계, 추상적 개념형성 단계, 능동적 체험단계로 구성하였다. 본 연구에서 개발된 프로그램은 초등학생의 기후변화에 대한 인식 태도의 함양과 긍정적이고 적극적인 기후변화 대응행동의 촉진에 기여할 수 있을 것이다.

위험기상 대응 농업기상관측 네트워크의 현황: 농촌진흥청을 중심으로 (Status of Agrometeorology Monitoring Network for Weather Risk Management: Focused on RDA of Korea)

  • 심교문;김용석;정명표;최인태;소규호
    • 한국기후변화학회지
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    • 제6권1호
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    • pp.55-60
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    • 2015
  • Agro-Meteorological Information Service (AMIS) network has been established since 2001 by Rural Development Administration (RDA) in Korea, and has provided access to current and historical weather data with useful information for agricultural activities. AMIS network includes 158 automated weather stations located mostly in farm region, with planning to increase by 200 stations until 2017. Agrometeorological information is disseminated via the web site (http://weather.rda.go.kr) to growers, researchers, and extension service officials. Our services will give enhanced information from observation data (temperature, precipitation, etc.) to application information, such as drought index, agro-climatic map, and early warning service. AMIS network of RDA will help the implementation of an early warning service for weather risk management.

RCP 8.5 기후변화 시나리오를 적용한 논 서식 애물땡땡이 (Sternolophus rufipes)와 잔물땡땡이(Hydrochara affinis)의 비행시기 예측 (Prediction of the Flight Times of Hydrochara affinis and Sternolophus rufipes in Paddy Fields Based on RCP 8.5 Scenario)

  • 최순군;김명현;최락중;어진우;방혜선
    • 한국농림기상학회지
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    • 제18권1호
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    • pp.16-29
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    • 2016
  • 우리나라 농경지 중 논은 약55%로 가장 많은 면적을 차지하고 있으며, 논에 서식하는 생물 중 논 환경변화에 민감하고 일정한 방향의 반응을 보이는 생물종은 생물지표로 활용할 수 있다. 생물계절 및 서식범위 등 생물지표를 이용한 분석은 기후변화의 영향을 직관적이고 정량적으로 판단할 수 있는 수단으로 평가된다. 따라서 논에 서식하는 수서생물의 온도변화에 따른 생물반응 연구는 논 생태계의 생물다양성 보전을 위한 계획 수립과 기후변화 감시를 위한 기초자료로서 활용된다. 본 연구에서는 생물계절을 관측하기 위하여 일 단위 관측이 가능한 무인관측시스템을 구축하였다. 무인관측시스템은 유인부, 촬영부, 전원공급부로 구성되며 위도를 고려하여 해남, 부안, 당진, 철원에 설치하였다. 관측자료를 분석한 결과 철원을 제외한 세 지역에서 잔물땡땡이(Hydrochara affinis)와 애물땡땡이(Sternolophus rufipes)의 개체 수를 계측할 수 있었다. 계측 값을 바탕으로 비행시기의 유효적산온도를 판별하였으며 KMA 기후변화 시나리오를 이용하여 2020년대, 2050년대, 2080년대 평년의 비행시기의 변화를 예측하여 비교하였다. 그 결과 2020년대에 비하여 2080년대는 비행시작시기가 15일 이상 앞당겨졌으며 최대 비행시기가 22일, 최종 비행시기가 27일 이상 빨라지는 것으로 나타났다. 서식 위치에 따라서는 내륙보다 해안, 도심보다 도외지, 평야보다 곡간지 논의 비행시기 변화가 뚜렷하였다. 따라서 본 연구의 결과를 바탕으로 잔물땡땡이와 애물땡땡이를 기후변화 지표종으로 활용할 수 있을 것으로 판단된다.

에어로졸의 광학 및 화학 특성 준실시간 모니터링을 통한 서울지역 시정 감쇄 분석 (Characteristics of Visibility Impairment by Semi-Continuous Optical and Chemical Property Monitoring of Aerosols in Seoul)

  • 박종성;박승명;송인호;신혜정;홍유덕
    • 한국대기환경학회지
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    • 제31권4호
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    • pp.319-329
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    • 2015
  • The characteristics of aerosol light extinction were investigated by comparing measured and calculated extinction coefficient to understand the contribution of air pollutants on visibility impairment for data during 4 months (Jan~ April), 2014. The integrated nephelometer and aethalometer system were installed to measure the scattering and absorption coefficients of aerosol as well as BAM 1020, MARGA, semi-continuous OCEC analyzer, and online-XRF to calculate the extinction coefficient. The IMPROVE_2005 equation was used to determine the contributions of different chemical components on visibility impairment in $PM_{2.5}$ and $PM_{10}$ due to highest correlation with measured data. Sulfate, nitrate, and organic mass by carbon (OMC) of fine aerosol were the major contributors affecting on visibility impairment. Total contributions to light extinction were calculated as $631.0Mm^{-1}$ for the worst-case and $64.4Mm^{-1}$ for the best-case. The concentrations of aerosol component for the worst-case were 38.4 times and 45.5 times larger than those of the best-case for $(NH_4)_2SO_4$ and $NH_4NO_3$, respectively. At lower visibility condition, in which extinction coefficient was higher than $400Mm^{-1}$, extinction coefficient varied according to the relative humidity variation regardless of $PM_{2.5}$.

비디오 영상 자료를 이용한 연안 국지파랑 관측기술과 그 활용에 대한 고찰 (Review of Video Imaging Technology in Coastal Wave Observations and Suggestion for Its Applications)

  • 이동영;유제선;박광순
    • Ocean and Polar Research
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    • 제31권4호
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    • pp.415-422
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    • 2009
  • The wave observation system in Korea has been established with an emphasis on pointmeasurement based on in situ instrumentations. However, the system cannot fully investigate the coastal wave-related problems that are significantly localized and intensified with three-dimensional regional geometries. Observation technique that can cover local processes with large time and spatial variation needs to be established. Video imaging techniques that can provide continuous monitoring of coastal waves and related phenomena with high spatial and temporal resolutions at minimum cost of instrumentation risks are reviewed together with present status of implementation in Korea. Practical applications of the video imaging techniques are suggested to tackle with various coastal issues of public concern in Korea including, real-time monitoring of wave runup and overtopping of swells on the east coast of Korea, longshore and rip currents, morphological and bathymetric changes, storm surge and tsunami inundation, and abnormal extreme waves in the west coast of Korea, etc.

Correlation Analysis of Atmospheric Pollutants and Meteorological Factors Based on Environmental Big Data

  • Chao, Chen;Min, Byung-Won
    • International Journal of Contents
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    • 제18권1호
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    • pp.17-26
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    • 2022
  • With the acceleration of urbanization and industrialization, air pollution has become increasingly serious, and the pollution control situation is not optimistic. Climate change has become a major global challenge faced by mankind. To actively respond to climate change, China has proposed carbon peak and carbon neutral goals. However, atmospheric pollutants and meteorological factors that affect air quality are complex and changeable, and the complex relationship and correlation between them must be further clarified. This paper uses China's 2013-2018 high-resolution air pollution reanalysis open data set, as well as statistical methods of the Pearson Correlation Coefficient (PCC) to calculate and visualize the design and analysis of environmental monitoring big data, which is intuitive and it quickly demonstrated the correlation between pollutants and meteorological factors in the temporal and spatial sequence, and provided convenience for environmental management departments to use air quality routine monitoring data to enable dynamic decision-making, and promote global climate governance. The experimental results show that, apart from ozone, which is negatively correlated, the other pollutants are positively correlated; meteorological factors have a greater impact on pollutants, temperature and pollutants are negatively correlated, air pressure is positively correlated, and the correlation between humidity is insignificant. The wind speed has a significant negative correlation with the six pollutants, which has a greater impact on the diffusion of pollutants.

기후 변화에 따른 제주도 표선 유역의 함양률 및 수위변화 예측 (Impact of Climate Change on the Groundwater Recharge and Groundwater Level Variations in Pyoseon Watershed of Jeju Island, Korea)

  • 신에스더;고은희;하규철;이은희;이강근
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제21권6호
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    • pp.22-35
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    • 2016
  • Global climate change could have an impact on hydrological process of a watershed and result in problems with future water supply by influencing the recharge process into the aquifer. This study aims to assess the change of groundwater recharge rate by climate change and to predict the sustainability of groundwater resource in Pyoseon watershed, Jeju Island. For the prediction, the groundwater recharge rate of the study area was estimated based on two future climate scenarios (RCP 4.5, RCP 8.5) by using the Soil Water Balance (SWB) computer code. The calculated groundwater recharge rate was used for groundwater flow simulation and the change of groundwater level according to the climate change was predicted using a numerical simulation program (FEFLOW 6.1). The average recharge rate from 2020 to 2100 was predicted to decrease by 10~12% compared to the current situation (1990~2015) while the evapotranspiration and the direct runoff rate would increase at both climate scenarios. The decrease in groundwater recharge rate due to the climate change results in the decline of groundwater level. In some monitoring wells, the predicted mean groundwater level at the year of the lowest water level was estimated to be lower by 60~70 m than the current situation. The model also predicted that temporal fluctuation of groundwater recharge, runoff and evapotranspiration would become more severe as a result of climate change, making the sustainable management of water resource more challenging in the future. Our study results demonstrate that the future availability of water resources highly depends on climate change. Thus, intensive studies on climate changes and water resources should be performed based on the sufficient data, advanced climate change scenarios, and improved modeling methodology.