• Title/Summary/Keyword: 지구환경 시스템

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Analysis of the pipeline system for efficient provision of irrigation demand (관개용수량의 효율적 공급을 위한 관수로시스템 분석)

  • Kim, Soo Jun;Kim, Nam Do;Kim, Phil Shik;Bark, Min Woo;Kang, Seung Mook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.273-273
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    • 2015
  • 전통적으로 우리나라의 농업용수 공급시스템은 개수로 방식이 주로 사용되어 왔으나, 최근에는 지형의 영향을 덜 받으면서 안정적으로 용수공급이 가능한 관수로 시스템으로서의 전환이 늘어나는 추세이다. 특히 서남해안간척사업, 새만금 등 대단위 농업단지 조성이 늘어나면서 경제적인 수리시설의 설치와 유지관리에 대한 관심이 증대되고 있다. 우리나라의 관수로화 사업은 1980년대 중반부터 농업용 관수로 사업이 시행되어 왔다. 그러나 현재 운영 중인 농업용관수로 지구에서는 특별한 물관리에 대한 규정이 없고, 사용자의 급수요청에 따른 불규칙한 용수관리운영이 이루어지고 있다. 또한, 농업용수의 무분별한 사용과 운영관리방안의 부재로 인해 많은 양의 농업용수가 낭비되고 있다. 기존 개거에 비하여 관수로의 경우 통수량이 증가되어 관개에 소요되는 시간은 단축 되었으나, 급수소요시간의 변화에 따른 적절한 적용을 하지 못하여 지나치게 많은 양이 공급되고 있다. 이러한 문제점으로 인하여 발생되는 수자원의 낭비를 막기 위해 농업용 관수로의 운영계획이 필요하지만, 현재 농업용 관수로 운영기준은 사실상 없는 실정이다. 본 연구에서는 현재 운영되고 있는 호남지역의 해남지구를 대상지구로 선정하여 EPANET(US Environmental Protection Agency)모형을 이용하여 농업용 관수로시스템의 관망해석을 실시하고자 한다. EPANET모형을 통하여 대상지구의 급수방식을 분석하고, 용수량의 운영현황 자료를 비교 검토하여 계획수요량과 공급량을 비교하여 관수로시스템에서의 농업용수 공급능력을 검토하고자 한다.

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A Comparative Errors Assessment Between Surface Albedo Products of COMS/MI and GK-2A/AMI (천리안위성 1·2A호 지표면 알베도 상호 오차 분석 및 비교검증)

  • Woo, Jongho;Choi, Sungwon;Jin, Donghyun;Seong, Noh-hun;Jung, Daeseong;Sim, Suyoung;Byeon, Yugyeong;Jeon, Uujin;Sohn, Eunha;Han, Kyung-Soo
    • Korean Journal of Remote Sensing
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    • v.37 no.6_1
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    • pp.1767-1772
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    • 2021
  • Global satellite observation surface albedo data over a long period of time are actively used to monitor changes in the global climate and environment, and their utilization and importance are great. Through the generational shift of geostationary satellites COMS (Communication, Ocean and Meteorological Satellite)/MI (Meteorological Imager sensor) and GK-2A (GEO-KOMPSAT-2A)/AMI (Advanced Meteorological Imager sensor), it is possible to continuously secure surface albedo outputs. However, the surface albedo outputs of COMS/MI and GK-2A/AMI differ between outputs due to Differences in retrieval algorithms. Therefore, in order to expand the retrieval period of the surface albedo of COMS/MI and GK-2A/AMI to secure continuous climate change monitoring linkage, the analysis of the two satellite outputs and errors should be preceded. In this study, error characteristics were analyzed by performing comparative analysis with ground observation data AERONET (Aerosol Robotic Network) and other satellite data GLASS (Global Land Surface Satellite) for the overlapping period of COMS/MI and GK-2A/AMI surface albedo data. As a result of error analysis, it was confirmed that the RMSE of COMS/MI was 0.043, higher than the RMSE of GK-2A/AMI, 0.015. In addition, compared to other satellite (GLASS) data, the RMSE of COMS/MI was 0.029, slightly lower than that of GK-2A/AMI 0.038. When understanding these error characteristics and using COMS/MI and GK-2A/AMI's surface albedo data, it will be possible to actively utilize them for long-term climate change monitoring.

Evaluation of the DCT-PLS Method for Spatial Gap Filling of Gridded Data (격자자료 결측복원을 위한 DCT-PLS 기법의 활용성 평가)

  • Youn, Youjeong;Kim, Seoyeon;Jeong, Yemin;Cho, Subin;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1407-1419
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    • 2020
  • Long time-series gridded data is crucial for the analyses of Earth environmental changes. Climate reanalysis and satellite images are now used as global-scale periodical and quantitative information for the atmosphere and land surface. This paper examines the feasibility of DCT-PLS (penalized least square regression based on discrete cosine transform) for the spatial gap filling of gridded data through the experiments for multiple variables. Because gap-free data is required for an objective comparison of original with gap-filled data, we used LDAPS (Local Data Assimilation and Prediction System) daily data and MODIS (Moderate Resolution Imaging Spectroradiometer) monthly products. In the experiments for relative humidity, wind speed, LST (land surface temperature), and NDVI (normalized difference vegetation index), we made sure that randomly generated gaps were retrieved very similar to the original data. The correlation coefficients were over 0.95 for the four variables. Because the DCT-PLS method does not require ancillary data and can refer to both spatial and temporal information with a fast computation, it can be applied to operative systems for satellite data processing.

환경.과학소식-지구를 살리는 "8가지기술"

  • Korea Environmental Preservation Association
    • Bulletin of Korea Environmental Preservation Association
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    • v.29 s.369
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    • pp.69-70
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    • 2007
  • 올해 다보스포럼에서는 지구 온난화 문제가 가장 큰 화두로 떠오른 가운데 지구를 살리는 8가지 신기술을 보도해 화제다. 미 경제 주간지 '비즈니스2.0' 은 최신호를 통해 '지구를 살리는 8가지 기술' 을 소개했다. 이 잡지가 소개한 기술을 살펴보면 환경오염 방지를 위한 연료, 오염물질 감지센서, 중금속을 흡수하는 나무, 멸종위기 위치 추적시스템 등이다.

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Understanding Physical Mechanism of 2022 European Heat Wave (2022년 발생한 기록적인 유럽 폭염 발생의 역학적 원인 규명 연구)

  • Ju Heon Kim;Gun-Hwan Yang;Hyun-Joon Sung;Jung Hyun Park;Eunkyo Seo
    • Atmosphere
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    • v.33 no.3
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    • pp.307-317
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    • 2023
  • This study investigates the physical mechanisms that contributed to the 2022 European record-breaking heatwave throughout May-August (MJJA). The European climate has experienced surface warming and drying in the recent decade (1979~2022) which influences the development of the 2022 European heatwave. Since its spatial pattern resembles the 2003 European heatwave which is a well-known case developed by the strong coupling of near-surface conditions to land surface processes, the 2022 heatwave is compared with the 2003 case. Understanding heatwave development is carried out by the European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis version 5 (ERA5) and daily maximum surface temperature released by NCEP (National Centers for Environmental Prediction) CPC (Climate Prediction Center). The results suggest that the persistent high pressure along with clear sky tends to increase the downward shortwave radiation which leads to enhanced sensible heat flux with the land surface dryness. Terrestrial Coupling Index (TCI), a process-based multivariate metric, is employed to quantitatively measure segmented feedback processes, separately for the land, atmosphere, and two-legged couplings, which appears to the development of the 2022 heatwave, can be viewed as an expression of the recent trends, amplified by internal land-atmosphere interactions.

Selection of factors to be monitored for vegetation according to land cover type (토지피복 유형에 따른 식생 감시대상 인자의 선정)

  • Haeun Jung;Chaelim Lee;Jeonghoon Lee;Sangdan Kim
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.329-329
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    • 2023
  • 가뭄은 수개월에서 수년에 걸쳐 평년보다 낮은 강수량을 특징으로 하는 극심한 기후 현상으로 크게 기상학적 가뭄과 식생 가뭄 또는 농업 가뭄, 수문학적 가뭄, 사회경제적 가뭄으로 구분할 수 있다. 본 연구에 사용된 기상학적 가뭄지수는 표준강수지수 (Standardized Precipitation Index), 증발수요가뭄지수 (Evaporative Demand Drought Index), 표준강수증발산지수 (Standardized Precipitation Evapotranspiration Index), Copula 기반 결합가뭄지수 (Copula-based Joint Drought Index)이다. 식생지수는 0부터 1까지 0.05 간격으로 가중치를 적용하여 21개의 식생건강지수(Vegetation Health Index)를 사용하였다. VHI는 널리 사용되고 있는 원격탐사자료 기반의 가뭄지수이며, 이는 식생상태지수 (Vegetation Condition Index)와 열상태지수 (Thermal condition index)의 선형 결합으로 이루어진다. 기상학적 가뭄지수와 식생지수 사이의 상호의존도 및 민감도를 분석하기 위해 상관성 분석을 수행하였으며, 이를 토지피복 유형 (시가화 건조지역, 농업지역, 초지, 산림지역)에 따른 분석도 수행하고자 하였다.

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Stabilization Mechanisms of Powdered and Bead Type Stabilizer Made of Mg-Fe Layered Double Hydroxide (LDH) for the Arsenic Contaminated Soil (Mg-Fe 이중층수산화물로 제조한 분말상과 입상 안정화제의 비소 오염토양 안정화 기작)

  • Kim, Seonhee;Kim, Kyeongtae;Oh, Yuna;Han, Yikyeong;Lee, Minhee
    • Journal of Soil and Groundwater Environment
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    • v.27 no.4
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    • pp.49-62
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    • 2022
  • The magnesium and iron-based layered double hydroxide (Mg-Fe LDH) was synthesized by the co-precipitation process and the bead type LDH (BLDH, 5~6 mm in diameter) was manufactured by using the Mg-Fe LDH and the starch as a binder. To evaluate the feasibility of the BLDH as the As stabilizer in the soil, various experiments were performed and the As stabilization efficiency of the BLDH was compared to that of powdered type LDH (PLDH, <149 ㎛ in diameter). For the As sorption batch experiment, the As sorption efficiency of both of the PLDH and the BLDH showed higher than 99%. For the stabilization experiment with soil, the As extraction reducing efficiency of the PLDH was higher than 87%, and for the BLDH, it was higher than 80%, suggesting that the BLDH has similar the feasibility of As stabilization for the contaminated soil, compared to the PLDH. From the continuous column experiments, when more than 7% BLDH was added into the soil, the As stabilization efficiency of the column maintained at over 91% for 7 pore volume flushing (simulating about 21 months of rainfall) and slowly decreased down to 64% after that time (to 36 months) under the non-equilibrium conditions. Results suggested that more than 7% of BLDH added in As-contaminated soil could be enough to stabilize As in soil for a long time. The main As fixation mechanisms on the LDH were also identified through the X-ray fluorescence (XRF), the X-ray diffraction (XRD), and the Fourier transform infrared (FT-IR) analyses. Results showed that the LDH has enough of an external surface adsorption capacity and an anion exchange capability at the interlayer spaces. Results of SEM/EDS and BET analyses also supported that the Mg-Fe LDH used in this study has sufficient porous structures and outer surfaces to fix the As. The reduction of carbonate (CO32-) and sulfate (SO42-) anions in the LDH after the reaction between As and the LDH was observed through the FT-IR, the XRF, and the XRD analyses, suggesting that the exchange of some of these anions with the arsenate (H2AsO4- or HAsO42-) occurs at the LDH interlayers during the stabilization process in soil.

Evaluation of the predictive performance for monthly precipitation of a deep learning model for drought forecasting (가뭄 예보를 위한 딥러닝 모델의 월 강수량 예측 성능 평가)

  • Won, Jeongeun;Choi, Jeonghyeon;Kim, Sangdan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.304-304
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    • 2022
  • 가뭄은 인간 활동과 생태계의 다양한 측면에 영향을 미치는 중요한 자연재해 중 하나이다. 가뭄을 사전에 예측하여 필요한 완화 조치를 취하고 환경적 피해를 줄이는 것이 중요하다. 이에 따라 다양한 인공지능 기술을 이용한 가뭄 예측은 수문학, 수자원 관리, 농업 등의 분야에서 중요성이 커지고 있다. 최근에는 딥러닝 알고리즘을 기반으로 하는 중장기 강수예보를 위한 다양한 방법이 제시되고 있다. 이 논문의 목적은 가뭄 예보를 목적으로 월 강수량 예측을 위한 딥러닝 모델의 성능을 평가하는 것이다. 이를 위해 딥러닝 모델인 LSTM(Long Short-Term Memory)을 적용하였으며, 1981-2020년 기간의 월 강수 자료가 모델을 구축하기 위해 사용되었다. 관측자료를 기반으로 학습된 모델을 이용하여 테스트 기간에 대해 월 강수량을 예측하였다. 예측된 강수량을 통해 표준강수지수(Standardized Precipitation Index, SPI)을 산정하고, 예측 정확도를 분석하였다. 이 연구는 가뭄 예보를 위한 딥러닝 모델의 적용 가능성을 보여준다.

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Microbial Communities and Diversities in a Full-Scale Mesophilic Anaerobic Digester Treating Sewage Sludge (하수슬러지 처리 실규모 중온 혐기성 소화조 미생물 군집 및 다양성 조사)

  • Minjae Kim;Suin Park;Juyun Lee;Hyebin Lee;Seonmin Kang;Hyokwan Bae;Joonyeob Lee
    • Journal of Environmental Science International
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    • v.31 no.12
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    • pp.1051-1059
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    • 2022
  • This study investigated microbial communities and their diversity in a full-scale mesophilic anaerobic digester treating sewage sludge. Influent sewage sludge and anaerobic digester samples collected from a wastewater treatment plant in Busan were analyzed using high-throughput sequencing. It was found that the microbial community structure and diversity in the anaerobic digester could be affected by inoculation effect with influent sewage sludge. Nevertheless, distinct microbial communities were identified as the dominant microbial communities in the anaerobic digester. Twelve genera were identified as abundant bacterial communities, which included several groups of syntrophic bacteria communities, such as Candidatus Cloacimonas, Cloacimonadaceae W5, Smithella, which are (potential) syntrophic-propionate-oxidizing bacteria and Mesotoga and Thermovigra, which are (potential) syntrophic-acetate-oxidizing bacteria. Lentimicrobium, the most abundant genus in the anaerobic digester, may contribute to the decomposition of carbohydrates and the production of volatile fatty acids during the anaerobic digestion of sewage sludge. Of the methanogens identified, Methanollinea, Candidatus Methanofastidiosum, Methanospirillum, and Methanoculleus were the dominant hydrogenotrophic methanogens, and Methanosaeta was the dominant aceticlastic methanogens. The findings may be used as a reference for developing microbial indicators to evaluate the process stability and process efficiency of the anaerobic digestion of sewage sludge.

Characterizing Regional Ozone Concentration Changes Due to the Adoption of Eco-Friendly Vehicles in South Korea (친환경 자동차 도입에 따른 지역별 오존 농도 변화 특성 분석)

  • Chaeyeong Yang;Wonbae Jeon;DongJin Kim;Jaehyeong Park;Hyeonsik Choe;Jeonghyeok Mun
    • Journal of Environmental Science International
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    • v.32 no.9
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    • pp.613-626
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    • 2023
  • This study investigates the impact of increased adoption of eco-friendly vehicles on ozone (O3) concentrations in South Korea, utilizing the community multiscale air quality (CMAQ) model. In the summer of 2017 (June-August), we conducted two experiments: a BASE experiment, representing baseline emissions, and an R_30 experiment, involving a 30% emission reduction due to eco-friendly vehicles. The contrast between these experiments reveals that, while most air pollutants decreased with reduced vehicle emissions, O3 concentrations surprisingly increased (up to 2.1 parts per billion) across South Korea. A further examination of O3 concentration changes was conducted by analyzing daytime and nighttime variations as well as wind direction. During the daytime, O3 concentrations notably rose near metropolitan areas due to reduced O3 titration (O3 + NO → O2 + NO2) resulting from emission reductions. At nighttime, O3 concentrations exhibited a greater increase, attributed to the transport of daytime-generated O3 to rural regions. Notably, the impact of reduced emissions in metropolitan areas on O3 concentrations in downwind areas varied depending on the prevailing wind direction. These findings highlight that the promotion of eco-friendly vehicles, though effective in lowering certain air pollutants, might not directly influence O3 concentrations. This study underscores the need to comprehensively understand the complicated chemistry of O3 to develop effective strategies for air quality management.